GROUPS 1. Preliminaries the Basic Framework in Which Modern
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2.1 the Algebra of Sets
Chapter 2 I Abstract Algebra 83 part of abstract algebra, sets are fundamental to all areas of mathematics and we need to establish a precise language for sets. We also explore operations on sets and relations between sets, developing an “algebra of sets” that strongly resembles aspects of the algebra of sentential logic. In addition, as we discussed in chapter 1, a fundamental goal in mathematics is crafting articulate, thorough, convincing, and insightful arguments for the truth of mathematical statements. We continue the development of theorem-proving and proof-writing skills in the context of basic set theory. After exploring the algebra of sets, we study two number systems denoted Zn and U(n) that are closely related to the integers. Our approach is based on a widely used strategy of mathematicians: we work with specific examples and look for general patterns. This study leads to the definition of modified addition and multiplication operations on certain finite subsets of the integers. We isolate key axioms, or properties, that are satisfied by these and many other number systems and then examine number systems that share the “group” properties of the integers. Finally, we consider an application of this mathematics to check digit schemes, which have become increasingly important for the success of business and telecommunications in our technologically based society. Through the study of these topics, we engage in a thorough introduction to abstract algebra from the perspective of the mathematician— working with specific examples to identify key abstract properties common to diverse and interesting mathematical systems. 2.1 The Algebra of Sets Intuitively, a set is a “collection” of objects known as “elements.” But in the early 1900’s, a radical transformation occurred in mathematicians’ understanding of sets when the British philosopher Bertrand Russell identified a fundamental paradox inherent in this intuitive notion of a set (this paradox is discussed in exercises 66–70 at the end of this section). -
The Five Fundamental Operations of Mathematics: Addition, Subtraction
The five fundamental operations of mathematics: addition, subtraction, multiplication, division, and modular forms Kenneth A. Ribet UC Berkeley Trinity University March 31, 2008 Kenneth A. Ribet Five fundamental operations This talk is about counting, and it’s about solving equations. Counting is a very familiar activity in mathematics. Many universities teach sophomore-level courses on discrete mathematics that turn out to be mostly about counting. For example, we ask our students to find the number of different ways of constituting a bag of a dozen lollipops if there are 5 different flavors. (The answer is 1820, I think.) Kenneth A. Ribet Five fundamental operations Solving equations is even more of a flagship activity for mathematicians. At a mathematics conference at Sundance, Robert Redford told a group of my colleagues “I hope you solve all your equations”! The kind of equations that I like to solve are Diophantine equations. Diophantus of Alexandria (third century AD) was Robert Redford’s kind of mathematician. This “father of algebra” focused on the solution to algebraic equations, especially in contexts where the solutions are constrained to be whole numbers or fractions. Kenneth A. Ribet Five fundamental operations Here’s a typical example. Consider the equation y 2 = x3 + 1. In an algebra or high school class, we might graph this equation in the plane; there’s little challenge. But what if we ask for solutions in integers (i.e., whole numbers)? It is relatively easy to discover the solutions (0; ±1), (−1; 0) and (2; ±3), and Diophantus might have asked if there are any more. -
Finite Sum – Product Logic
Theory and Applications of Categories, Vol. 8, No. 5, pp. 63–99. FINITE SUM – PRODUCT LOGIC J.R.B. COCKETT1 AND R.A.G. SEELY2 ABSTRACT. In this paper we describe a deductive system for categories with finite products and coproducts, prove decidability of equality of morphisms via cut elimina- tion, and prove a “Whitman theorem” for the free such categories over arbitrary base categories. This result provides a nice illustration of some basic techniques in categorical proof theory, and also seems to have slipped past unproved in previous work in this field. Furthermore, it suggests a type-theoretic approach to 2–player input–output games. Introduction In the late 1960’s Lambekintroduced the notion of a “deductive system”, by which he meant the presentation of a sequent calculus for a logic as a category, whose objects were formulas of the logic, and whose arrows were (equivalence classes of) sequent deriva- tions. He noticed that “doctrines” of categories corresponded under this construction to certain logics. The classic example of this was cartesian closed categories, which could then be regarded as the “proof theory” for the ∧ – ⇒ fragment of intuitionistic propo- sitional logic. (An excellent account of this may be found in the classic monograph [Lambek–Scott 1986].) Since his original work, many categorical doctrines have been given similar analyses, but it seems one simple case has been overlooked, viz. the doctrine of categories with finite products and coproducts (without any closed structure and with- out any extra assumptions concerning distributivity of the one over the other). We began looking at this case with the thought that it would provide a nice simple introduction to some techniques in categorical proof theory, particularly the idea of rewriting systems modulo equations, which we have found useful in investigating categorical structures with two tensor products (“linearly distributive categories” [Blute et al. -
18.703 Modern Algebra, Presentations and Groups of Small
12. Presentations and Groups of small order Definition-Lemma 12.1. Let A be a set. A word in A is a string of 0 elements of A and their inverses. We say that the word w is obtained 0 from w by a reduction, if we can get from w to w by repeatedly applying the following rule, −1 −1 • replace aa (or a a) by the empty string. 0 Given any word w, the reduced word w associated to w is any 0 word obtained from w by reduction, such that w cannot be reduced any further. Given two words w1 and w2 of A, the concatenation of w1 and w2 is the word w = w1w2. The empty word is denoted e. The set of all reduced words is denoted FA. With product defined as the reduced concatenation, this set becomes a group, called the free group with generators A. It is interesting to look at examples. Suppose that A contains one element a. An element of FA = Fa is a reduced word, using only a and a−1 . The word w = aaaa−1 a−1 aaa is a string using a and a−1. Given any such word, we pass to the reduction w0 of w. This means cancelling as much as we can, and replacing strings of a’s by the corresponding power. Thus w = aaa −1 aaa = aaaa = a 4 = w0 ; where equality means up to reduction. Thus the free group on one generator is isomorphic to Z. The free group on two generators is much more complicated and it is not abelian. -
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. -
A Quick Algebra Review
A Quick Algebra Review 1. Simplifying Expressions 2. Solving Equations 3. Problem Solving 4. Inequalities 5. Absolute Values 6. Linear Equations 7. Systems of Equations 8. Laws of Exponents 9. Quadratics 10. Rationals 11. Radicals Simplifying Expressions An expression is a mathematical “phrase.” Expressions contain numbers and variables, but not an equal sign. An equation has an “equal” sign. For example: Expression: Equation: 5 + 3 5 + 3 = 8 x + 3 x + 3 = 8 (x + 4)(x – 2) (x + 4)(x – 2) = 10 x² + 5x + 6 x² + 5x + 6 = 0 x – 8 x – 8 > 3 When we simplify an expression, we work until there are as few terms as possible. This process makes the expression easier to use, (that’s why it’s called “simplify”). The first thing we want to do when simplifying an expression is to combine like terms. For example: There are many terms to look at! Let’s start with x². There Simplify: are no other terms with x² in them, so we move on. 10x x² + 10x – 6 – 5x + 4 and 5x are like terms, so we add their coefficients = x² + 5x – 6 + 4 together. 10 + (-5) = 5, so we write 5x. -6 and 4 are also = x² + 5x – 2 like terms, so we can combine them to get -2. Isn’t the simplified expression much nicer? Now you try: x² + 5x + 3x² + x³ - 5 + 3 [You should get x³ + 4x² + 5x – 2] Order of Operations PEMDAS – Please Excuse My Dear Aunt Sally, remember that from Algebra class? It tells the order in which we can complete operations when solving an equation. -
Chapter 2 of Concrete Abstractions: an Introduction to Computer
Out of print; full text available for free at http://www.gustavus.edu/+max/concrete-abstractions.html CHAPTER TWO Recursion and Induction 2.1 Recursion We have used Scheme to write procedures that describe how certain computational processes can be carried out. All the procedures we've discussed so far generate processes of a ®xed size. For example, the process generated by the procedure square always does exactly one multiplication no matter how big or how small the number we're squaring is. Similarly, the procedure pinwheel generates a process that will do exactly the same number of stack and turn operations when we use it on a basic block as it will when we use it on a huge quilt that's 128 basic blocks long and 128 basic blocks wide. Furthermore, the size of the procedure (that is, the size of the procedure's text) is a good indicator of the size of the processes it generates: Small procedures generate small processes and large procedures generate large processes. On the other hand, there are procedures of a ®xed size that generate computa- tional processes of varying sizes, depending on the values of their parameters, using a technique called recursion. To illustrate this, the following is a small, ®xed-size procedure for making paper chains that can still make chains of arbitrary lengthÐ it has a parameter n for the desired length. You'll need a bunch of long, thin strips of paper and some way of joining the ends of a strip to make a loop. You can use tape, a stapler, or if you use slitted strips of cardstock that look like this , you can just slip the slits together. -
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 Remarks on Semigroup Presentations
SOME REMARKS ON SEMIGROUP PRESENTATIONS B. H. NEUMANN Dedicated to H. S. M. Coxeter 1. Let a semigroup A be given by generators ai, a2, . , ad and defining relations U\ — V\yu2 = v2, ... , ue = ve between these generators, the uu vt being words in the generators. We then have a presentation of A, and write A = sgp(ai, . , ad, «i = vu . , ue = ve). The same generators with the same relations can also be interpreted as the presentation of a group, for which we write A* = gpOi, . , ad\ «i = vu . , ue = ve). There is a unique homomorphism <£: A—* A* which maps each generator at G A on the same generator at G 4*. This is a monomorphism if, and only if, A is embeddable in a group; and, equally obviously, it is an epimorphism if, and only if, the image A<j> in A* is a group. This is the case in particular if A<j> is finite, as a finite subsemigroup of a group is itself a group. Thus we see that A(j> and A* are both finite (in which case they coincide) or both infinite (in which case they may or may not coincide). If A*, and thus also Acfr, is finite, A may be finite or infinite; but if A*, and thus also A<p, is infinite, then A must be infinite too. It follows in particular that A is infinite if e, the number of defining relations, is strictly less than d, the number of generators. 2. We now assume that d is chosen minimal, so that A cannot be generated by fewer than d elements. -
Knapsack Problems in Groups
MATHEMATICS OF COMPUTATION Volume 84, Number 292, March 2015, Pages 987–1016 S 0025-5718(2014)02880-9 Article electronically published on July 30, 2014 KNAPSACK PROBLEMS IN GROUPS ALEXEI MYASNIKOV, ANDREY NIKOLAEV, AND ALEXANDER USHAKOV Abstract. We generalize the classical knapsack and subset sum problems to arbitrary groups and study the computational complexity of these new problems. We show that these problems, as well as the bounded submonoid membership problem, are P-time decidable in hyperbolic groups and give var- ious examples of finitely presented groups where the subset sum problem is NP-complete. 1. Introduction 1.1. Motivation. This is the first in a series of papers on non-commutative discrete (combinatorial) optimization. In this series we propose to study complexity of the classical discrete optimization (DO) problems in their most general form — in non- commutative groups. For example, DO problems concerning integers (subset sum, knapsack problem, etc.) make perfect sense when the group of additive integers is replaced by an arbitrary (non-commutative) group G. The classical lattice problems are about subgroups (integer lattices) of the additive groups Zn or Qn, their non- commutative versions deal with arbitrary finitely generated subgroups of a group G. The travelling salesman problem or the Steiner tree problem make sense for arbitrary finite subsets of vertices in a given Cayley graph of a non-commutative infinite group (with the natural graph metric). The Post correspondence problem carries over in a straightforward fashion from a free monoid to an arbitrary group. This list of examples can be easily extended, but the point here is that many classical DO problems have natural and interesting non-commutative versions. -
Arxiv:1811.04966V3 [Math.NT]
Descartes’ rule of signs, Newton polygons, and polynomials over hyperfields Matthew Baker and Oliver Lorscheid Abstract. In this note, we develop a theory of multiplicities of roots for polynomials over hyperfields and use this to provide a unified and conceptual proof of both Descartes’ rule of signs and Newton’s “polygon rule”. Introduction Given a real polynomial p ∈ R[T ], Descartes’ rule of signs provides an upper bound for the number of positive (resp. negative) real roots of p in terms of the signs of the coeffi- cients of p. Specifically, the number of positive real roots of p (counting multiplicities) is bounded above by the number of sign changes in the coefficients of p(T ), and the number of negative roots is bounded above by the number of sign changes in the coefficients of p(−T ). Another classical “rule”, which is less well known to mathematicians in general but is used quite often in number theory, is Newton’s polygon rule. This rule concerns polynomi- als over fields equipped with a valuation, which is a function v : K → R ∪{∞} satisfying • v(a) = ∞ if and only if a = 0 • v(ab) = v(a) + v(b) • v(a + b) > min{v(a),v(b)}, with equality if v(a) 6= v(b) for all a,b ∈ K. An example is the p-adic valuation vp on Q, where p is a prime number, given by the formula vp(s/t) = ordp(s) − ordp(t), where ordp(n) is the maximum power of p dividing a nonzero integer n. Another example is the T -adic valuation v on k(T), for any field k, given by v ( f /g) = arXiv:1811.04966v3 [math.NT] 26 May 2020 T T ordT ( f )−ordT (g), where ordT ( f ) is the maximum power of T dividing a nonzero polyno- mial f ∈ k[T]. -
GROUP ACTIONS 1. Introduction the Groups Sn, An, and (For N ≥ 3)
GROUP ACTIONS KEITH CONRAD 1. Introduction The groups Sn, An, and (for n ≥ 3) Dn behave, by their definitions, as permutations on certain sets. The groups Sn and An both permute the set f1; 2; : : : ; ng and Dn can be considered as a group of permutations of a regular n-gon, or even just of its n vertices, since rigid motions of the vertices determine where the rest of the n-gon goes. If we label the vertices of the n-gon in a definite manner by the numbers from 1 to n then we can view Dn as a subgroup of Sn. For instance, the labeling of the square below lets us regard the 90 degree counterclockwise rotation r in D4 as (1234) and the reflection s across the horizontal line bisecting the square as (24). The rest of the elements of D4, as permutations of the vertices, are in the table below the square. 2 3 1 4 1 r r2 r3 s rs r2s r3s (1) (1234) (13)(24) (1432) (24) (12)(34) (13) (14)(23) If we label the vertices in a different way (e.g., swap the labels 1 and 2), we turn the elements of D4 into a different subgroup of S4. More abstractly, if we are given a set X (not necessarily the set of vertices of a square), then the set Sym(X) of all permutations of X is a group under composition, and the subgroup Alt(X) of even permutations of X is a group under composition. If we list the elements of X in a definite order, say as X = fx1; : : : ; xng, then we can think about Sym(X) as Sn and Alt(X) as An, but a listing in a different order leads to different identifications 1 of Sym(X) with Sn and Alt(X) with An.