ALTERNATIVE ALGEBRAS OVER an ARBITRARY FIELD the Results Of
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On Field Γ-Semiring and Complemented Γ-Semiring with Identity
BULLETIN OF THE INTERNATIONAL MATHEMATICAL VIRTUAL INSTITUTE ISSN (p) 2303-4874, ISSN (o) 2303-4955 www.imvibl.org /JOURNALS / BULLETIN Vol. 8(2018), 189-202 DOI: 10.7251/BIMVI1801189RA Former BULLETIN OF THE SOCIETY OF MATHEMATICIANS BANJA LUKA ISSN 0354-5792 (o), ISSN 1986-521X (p) ON FIELD Γ-SEMIRING AND COMPLEMENTED Γ-SEMIRING WITH IDENTITY Marapureddy Murali Krishna Rao Abstract. In this paper we study the properties of structures of the semi- group (M; +) and the Γ−semigroup M of field Γ−semiring M, totally ordered Γ−semiring M and totally ordered field Γ−semiring M satisfying the identity a + aαb = a for all a; b 2 M; α 2 Γand we also introduce the notion of com- plemented Γ−semiring and totally ordered complemented Γ−semiring. We prove that, if semigroup (M; +) is positively ordered of totally ordered field Γ−semiring satisfying the identity a + aαb = a for all a; b 2 M; α 2 Γ, then Γ-semigroup M is positively ordered and study their properties. 1. Introduction In 1995, Murali Krishna Rao [5, 6, 7] introduced the notion of a Γ-semiring as a generalization of Γ-ring, ring, ternary semiring and semiring. The set of all negative integers Z− is not a semiring with respect to usual addition and multiplication but Z− forms a Γ-semiring where Γ = Z: Historically semirings first appear implicitly in Dedekind and later in Macaulay, Neither and Lorenzen in connection with the study of a ring. However semirings first appear explicitly in Vandiver, also in connection with the axiomatization of Arithmetic of natural numbers. -
Formal Power Series - Wikipedia, the Free Encyclopedia
Formal power series - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Formal_power_series Formal power series From Wikipedia, the free encyclopedia In mathematics, formal power series are a generalization of polynomials as formal objects, where the number of terms is allowed to be infinite; this implies giving up the possibility to substitute arbitrary values for indeterminates. This perspective contrasts with that of power series, whose variables designate numerical values, and which series therefore only have a definite value if convergence can be established. Formal power series are often used merely to represent the whole collection of their coefficients. In combinatorics, they provide representations of numerical sequences and of multisets, and for instance allow giving concise expressions for recursively defined sequences regardless of whether the recursion can be explicitly solved; this is known as the method of generating functions. Contents 1 Introduction 2 The ring of formal power series 2.1 Definition of the formal power series ring 2.1.1 Ring structure 2.1.2 Topological structure 2.1.3 Alternative topologies 2.2 Universal property 3 Operations on formal power series 3.1 Multiplying series 3.2 Power series raised to powers 3.3 Inverting series 3.4 Dividing series 3.5 Extracting coefficients 3.6 Composition of series 3.6.1 Example 3.7 Composition inverse 3.8 Formal differentiation of series 4 Properties 4.1 Algebraic properties of the formal power series ring 4.2 Topological properties of the formal power series -
An Introduction to Operad Theory
AN INTRODUCTION TO OPERAD THEORY SAIMA SAMCHUCK-SCHNARCH Abstract. We give an introduction to category theory and operad theory aimed at the undergraduate level. We first explore operads in the category of sets, and then generalize to other familiar categories. Finally, we develop tools to construct operads via generators and relations, and provide several examples of operads in various categories. Throughout, we highlight the ways in which operads can be seen to encode the properties of algebraic structures across different categories. Contents 1. Introduction1 2. Preliminary Definitions2 2.1. Algebraic Structures2 2.2. Category Theory4 3. Operads in the Category of Sets 12 3.1. Basic Definitions 13 3.2. Tree Diagram Visualizations 14 3.3. Morphisms and Algebras over Operads of Sets 17 4. General Operads 22 4.1. Basic Definitions 22 4.2. Morphisms and Algebras over General Operads 27 5. Operads via Generators and Relations 33 5.1. Quotient Operads and Free Operads 33 5.2. More Examples of Operads 38 5.3. Coloured Operads 43 References 44 1. Introduction Sets equipped with operations are ubiquitous in mathematics, and many familiar operati- ons share key properties. For instance, the addition of real numbers, composition of functions, and concatenation of strings are all associative operations with an identity element. In other words, all three are examples of monoids. Rather than working with particular examples of sets and operations directly, it is often more convenient to abstract out their common pro- perties and work with algebraic structures instead. For instance, one can prove that in any monoid, arbitrarily long products x1x2 ··· xn have an unambiguous value, and thus brackets 2010 Mathematics Subject Classification. -
Math 210B. Finite-Dimensional Commutative Algebras Over a Field Let a Be a Nonzero finite-Dimensional Commutative Algebra Over a field K
Math 210B. Finite-dimensional commutative algebras over a field Let A be a nonzero finite-dimensional commutative algebra over a field k. Here is a general structure theorem for such A: Theorem 0.1. The set Max(A) of maximal ideals of A is finite, all primes of A are maximal and minimal, and the natural map Y A ! Am m is an isomorphism, with each Am having nilpotent maximal ideal. Qn In particular, if A is reduced then A ' i=1 ki for fields ki, with the maximal ideals given by the kernels of the projections A ! ki. The assertion in the reduced case follows from the rest since if A is reduced then so is each Am (and hence its nilpotent unique maximal ideal vanishes, implying Am must be a field). Note also that the nilpotence of the maximal ideal mAm implies that for some large n we have n n n Am = Am=m Am = (A=m )m = A=m (final equality since m is maximal in A), so the isomorphism in the Theorem can also be expressed Q n as saying A ' m A=m for large n. Most of the proof of this result is worked out in HW1 Exercise 7, and here we just address one point: the nilpotence of the maximal ideal of the local ring Am at each maximal ideal m of A. That is, we claim that the maximal ideal M := mAm is nilpotent. To establish such nilpotence, note that M is finitely generated as an Am-module since Am is noetherian (as A is obviously noetherian!). -
Irreducible Representations of Finite Monoids
U.U.D.M. Project Report 2019:11 Irreducible representations of finite monoids Christoffer Hindlycke Examensarbete i matematik, 30 hp Handledare: Volodymyr Mazorchuk Examinator: Denis Gaidashev Mars 2019 Department of Mathematics Uppsala University Irreducible representations of finite monoids Christoffer Hindlycke Contents Introduction 2 Theory 3 Finite monoids and their structure . .3 Introductory notions . .3 Cyclic semigroups . .6 Green’s relations . .7 von Neumann regularity . 10 The theory of an idempotent . 11 The five functors Inde, Coinde, Rese,Te and Ne ..................... 11 Idempotents and simple modules . 14 Irreducible representations of a finite monoid . 17 Monoid algebras . 17 Clifford-Munn-Ponizovski˘ıtheory . 20 Application 24 The symmetric inverse monoid . 24 Calculating the irreducible representations of I3 ........................ 25 Appendix: Prerequisite theory 37 Basic definitions . 37 Finite dimensional algebras . 41 Semisimple modules and algebras . 41 Indecomposable modules . 42 An introduction to idempotents . 42 1 Irreducible representations of finite monoids Christoffer Hindlycke Introduction This paper is a literature study of the 2016 book Representation Theory of Finite Monoids by Benjamin Steinberg [3]. As this book contains too much interesting material for a simple master thesis, we have narrowed our attention to chapters 1, 4 and 5. This thesis is divided into three main parts: Theory, Application and Appendix. Within the Theory chapter, we (as the name might suggest) develop the necessary theory to assist with finding irreducible representations of finite monoids. Finite monoids and their structure gives elementary definitions as regards to finite monoids, and expands on the basic theory of their structure. This part corresponds to chapter 1 in [3]. The theory of an idempotent develops just enough theory regarding idempotents to enable us to state a key result, from which the principal result later follows almost immediately. -
Algebraic Number Theory
Algebraic Number Theory William B. Hart Warwick Mathematics Institute Abstract. We give a short introduction to algebraic number theory. Algebraic number theory is the study of extension fields Q(α1; α2; : : : ; αn) of the rational numbers, known as algebraic number fields (sometimes number fields for short), in which each of the adjoined complex numbers αi is algebraic, i.e. the root of a polynomial with rational coefficients. Throughout this set of notes we use the notation Z[α1; α2; : : : ; αn] to denote the ring generated by the values αi. It is the smallest ring containing the integers Z and each of the αi. It can be described as the ring of all polynomial expressions in the αi with integer coefficients, i.e. the ring of all expressions built up from elements of Z and the complex numbers αi by finitely many applications of the arithmetic operations of addition and multiplication. The notation Q(α1; α2; : : : ; αn) denotes the field of all quotients of elements of Z[α1; α2; : : : ; αn] with nonzero denominator, i.e. the field of rational functions in the αi, with rational coefficients. It is the smallest field containing the rational numbers Q and all of the αi. It can be thought of as the field of all expressions built up from elements of Z and the numbers αi by finitely many applications of the arithmetic operations of addition, multiplication and division (excepting of course, divide by zero). 1 Algebraic numbers and integers A number α 2 C is called algebraic if it is the root of a monic polynomial n n−1 n−2 f(x) = x + an−1x + an−2x + ::: + a1x + a0 = 0 with rational coefficients ai. -
Fields Besides the Real Numbers Math 130 Linear Algebra
manner, which are both commutative and asso- ciative, both have identity elements (the additive identity denoted 0 and the multiplicative identity denoted 1), addition has inverse elements (the ad- ditive inverse of x denoted −x as usual), multipli- cation has inverses of nonzero elements (the multi- Fields besides the Real Numbers 1 −1 plicative inverse of x denoted x or x ), multipli- Math 130 Linear Algebra cation distributes over addition, and 0 6= 1. D Joyce, Fall 2015 Of course, one example of a field is the field of Most of the time in linear algebra, our vectors real numbers R. What are some others? will have coordinates that are real numbers, that is to say, our scalar field is R, the real numbers. Example 2 (The field of rational numbers, Q). Another example is the field of rational numbers. But linear algebra works over other fields, too, A rational number is the quotient of two integers like C, the complex numbers. In fact, when we a=b where the denominator is not 0. The set of discuss eigenvalues and eigenvectors, we'll need to all rational numbers is denoted Q. We're familiar do linear algebra over C. Some of the applications with the fact that the sum, difference, product, and of linear algebra such as solving linear differential quotient (when the denominator is not zero) of ra- equations require C as as well. tional numbers is another rational number, so Q Some applications in computer science use linear has all the operations it needs to be a field, and algebra over a two-element field Z (described be- 2 since it's part of the field of the real numbers R, its low). -
Formal Power Series License: CC BY-NC-SA
Formal Power Series License: CC BY-NC-SA Emma Franz April 28, 2015 1 Introduction The set S[[x]] of formal power series in x over a set S is the set of functions from the nonnegative integers to S. However, the way that we represent elements of S[[x]] will be as an infinite series, and operations in S[[x]] will be closely linked to the addition and multiplication of finite-degree polynomials. This paper will introduce a bit of the structure of sets of formal power series and then transfer over to a discussion of generating functions in combinatorics. The most familiar conceptualization of formal power series will come from taking coefficients of a power series from some sequence. Let fang = a0; a1; a2;::: be a sequence of numbers. Then 2 the formal power series associated with fang is the series A(s) = a0 + a1s + a2s + :::, where s is a formal variable. That is, we are not treating A as a function that can be evaluated for some s0. In general, A(s0) is not defined, but we will define A(0) to be a0. 2 Algebraic Structure Let R be a ring. We define R[[s]] to be the set of formal power series in s over R. Then R[[s]] is itself a ring, with the definitions of multiplication and addition following closely from how we define these operations for polynomials. 2 2 Let A(s) = a0 + a1s + a2s + ::: and B(s) = b0 + b1s + b1s + ::: be elements of R[[s]]. Then 2 the sum A(s) + B(s) is defined to be C(s) = c0 + c1s + c2s + :::, where ci = ai + bi for all i ≥ 0. -
Simpleness of Leavitt Path Algebras with Coefficients in a Commutative
Simpleness of Leavitt Path Algebras with Coefficients in a Commutative Semiring Y. Katsov1, T.G. Nam2, J. Zumbr¨agel3 [email protected]; [email protected]; [email protected] 1 Department of Mathematics Hanover College, Hanover, IN 47243–0890, USA 2 Institute of Mathematics, VAST 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam 3 Institute of Algebra Dresden University of Technology, Germany Abstract In this paper, we study ideal- and congruence-simpleness for the Leavitt path algebras of directed graphs with coefficients in a commu- tative semiring S, as well as establish some fundamental properties of those algebras. We provide a complete characterization of ideal- simple Leavitt path algebras with coefficients in a semifield S that extends the well-known characterizations when the ground semir- ing S is a field. Also, extending the well-known characterizations when S is a field or commutative ring, we present a complete charac- terization of congruence-simple Leavitt path algebras over row-finite graphs with coefficients in a commutative semiring S. Mathematics Subject Classifications: 16Y60, 16D99, 16G99, 06A12; 16S10, 16S34. Key words: Congruence-simple and ideal-simple semirings, Leav- itt path algebra. arXiv:1507.02913v1 [math.RA] 10 Jul 2015 1 Introduction In some way, “prehistorical” beginning of Leavitt path algebras started with Leavitt algebras ([18] and [19]), Bergman algebras ([7]), and graph C∗- algebras ([9]), considering rings with the Invariant Basis Number property, The second author is supported by the Vietnam National Foundation for Science and Technology Development (NAFOSTED). The third author is supported by the Irish Research Council under Research Grant ELEVATEPD/2013/82. -
A Course in Commutative Algebra
Graduate Texts in Mathematics 256 A Course in Commutative Algebra Bearbeitet von Gregor Kemper 1. Auflage 2010. Buch. xii, 248 S. Hardcover ISBN 978 3 642 03544 9 Format (B x L): 0 x 0 cm Gewicht: 1200 g Weitere Fachgebiete > Mathematik > Algebra Zu Inhaltsverzeichnis schnell und portofrei erhältlich bei Die Online-Fachbuchhandlung beck-shop.de ist spezialisiert auf Fachbücher, insbesondere Recht, Steuern und Wirtschaft. Im Sortiment finden Sie alle Medien (Bücher, Zeitschriften, CDs, eBooks, etc.) aller Verlage. Ergänzt wird das Programm durch Services wie Neuerscheinungsdienst oder Zusammenstellungen von Büchern zu Sonderpreisen. Der Shop führt mehr als 8 Millionen Produkte. Chapter 1 Hilbert’s Nullstellensatz Hilbert’s Nullstellensatz may be seen as the starting point of algebraic geom- etry. It provides a bijective correspondence between affine varieties, which are geometric objects, and radical ideals in a polynomial ring, which are algebraic objects. In this chapter, we give proofs of two versions of the Nullstellensatz. We exhibit some further correspondences between geometric and algebraic objects. Most notably, the coordinate ring is an affine algebra assigned to an affine variety, and points of the variety correspond to maximal ideals in the coordinate ring. Before we get started, let us fix some conventions and notation that will be used throughout the book. By a ring we will always mean a commutative ring with an identity element 1. In particular, there is a ring R = {0},the zero ring,inwhich1=0.AringR is called an integral domain if R has no zero divisors (other than 0 itself) and R ={0}.Asubring of a ring R must contain the identity element of R, and a homomorphism R → S of rings must send the identity element of R to the identity element of S. -
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. -
Commutative Rings and Fields
Chapter 6 Commutative Rings and Fields The set of integers Z has two interesting operations: addition and multiplication, which interact in a nice way. Definition 6.1. A commutative ring consists of a set R with distinct elements 0, 1 R, and binary operations + and such that: ∈ · 1. (R, +, 0) is an Abelian group 2. is commutative and associative with 1 as the identity: x y = y x, x· (y z)=(x y) z, x 1=x. · · · · · · · 3. distributes over +: x (y + z)=x y + x z. · · · · Definition 6.2. A commutative ring R is a field if in addition, every nonzero x R possesses a multiplicative inverse, i.e. an element y R with xy =1. ∈ ∈ As a homework problem, you will show that the multiplicative inverse of x 1 is unique if it exists. We will denote it by x− . Example 6.3. Z, Q = a a, b Z, b =0 , R and C with the usual operations { b | ∈ } are all commutative rings. All but the Z are fields. The main new examples are the following: Theorem 6.4. The set Zn = 0, 1,...,n 1 is a commutative ring with addition and multiplication given{ by − } x y = x + y mod n ⊕ x y = xy mod n ⊙ Theorem 6.5. Zn is a field if and only if n is prime. 24 We will prove the second theorem, after we have developed a bit more theory. Since the symbols and are fairly cumbersome, we will often use ordinary notation with the understanding⊕ ⊙ that we’re using mod n rules.