Theory of Groups
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Abstract Algebra
Abstract Algebra Paul Melvin Bryn Mawr College Fall 2011 lecture notes loosely based on Dummit and Foote's text Abstract Algebra (3rd ed) Prerequisite: Linear Algebra (203) 1 Introduction Pure Mathematics Algebra Analysis Foundations (set theory/logic) G eometry & Topology What is Algebra? • Number systems N = f1; 2; 3;::: g \natural numbers" Z = f:::; −1; 0; 1; 2;::: g \integers" Q = ffractionsg \rational numbers" R = fdecimalsg = pts on the line \real numbers" p C = fa + bi j a; b 2 R; i = −1g = pts in the plane \complex nos" k polar form re iθ, where a = r cos θ; b = r sin θ a + bi b r θ a p Note N ⊂ Z ⊂ Q ⊂ R ⊂ C (all proper inclusions, e.g. 2 62 Q; exercise) There are many other important number systems inside C. 2 • Structure \binary operations" + and · associative, commutative, and distributive properties \identity elements" 0 and 1 for + and · resp. 2 solve equations, e.g. 1 ax + bx + c = 0 has two (complex) solutions i p −b ± b2 − 4ac x = 2a 2 2 2 2 x + y = z has infinitely many solutions, even in N (thei \Pythagorian triples": (3,4,5), (5,12,13), . ). n n n 3 x + y = z has no solutions x; y; z 2 N for any fixed n ≥ 3 (Fermat'si Last Theorem, proved in 1995 by Andrew Wiles; we'll give a proof for n = 3 at end of semester). • Abstract systems groups, rings, fields, vector spaces, modules, . A group is a set G with an associative binary operation ∗ which has an identity element e (x ∗ e = x = e ∗ x for all x 2 G) and inverses for each of its elements (8 x 2 G; 9 y 2 G such that x ∗ y = y ∗ x = e). -
SUMMARY of PART II: GROUPS 1. Motivation and Overview 1.1. Why
SUMMARY OF PART II: GROUPS 1. Motivation and overview 1.1. Why study groups? The group concept is truly fundamental not only for algebra, but for mathematics in general, as groups appear in mathematical theories as diverse as number theory (e.g. the solutions of Diophantine equations often form a group), Galois theory (the solutions(=roots) of a polynomial equation may satisfy hidden symmetries which can be put together into a group), geometry (e.g. the isometries of a given geometric space or object form a group) or topology (e.g. an important tool is the fundamental group of a topological space), but also in physics (e.g. the Lorentz group which in concerned with the symmetries of space-time in relativity theory, or the “gauge” symmetry group of the famous standard model). Our task for the course is to understand whole classes of groups—mostly we will concentrate on finite groups which are already very difficult to classify. Our main examples for these shall be the cyclic groups Cn, symmetric groups Sn (on n letters), the alternating groups An and the dihedral groups Dn. The most “fundamental” of these are the symmetric groups, as every finite group can be embedded into a certain finite symmetric group (Cayley’s Theorem). We will be able to classify all groups of order 2p and p2, where p is a prime. We will also find structure results on subgroups which exist for a given such group (Cauchy’s Theorem, Sylow Theorems). Finally, abelian groups can be controlled far easier than general (i.e., possibly non-abelian) groups, and we will give a full classification for all such abelian groups, at least when they can be generated by finitely many elements. -
Operations Per Se, to See If the Proposed Chi Is Indeed Fruitful
DOCUMENT RESUME ED 204 124 SE 035 176 AUTHOR Weaver, J. F. TTTLE "Addition," "Subtraction" and Mathematical Operations. 7NSTITOTION. Wisconsin Univ., Madison. Research and Development Center for Individualized Schooling. SPONS AGENCY Neional Inst. 1pf Education (ED), Washington. D.C. REPORT NO WIOCIS-PP-79-7 PUB DATE Nov 79 GRANT OS-NIE-G-91-0009 NOTE 98p.: Report from the Mathematics Work Group. Paper prepared for the'Seminar on the Initial Learning of Addition and' Subtraction. Skills (Racine, WI, November 26-29, 1979). Contains occasional light and broken type. Not available in hard copy due to copyright restrictions.. EDPS PRICE MF01 Plum Postage. PC Not Available from EDRS. DEseR.TPT00S *Addition: Behavioral Obiectives: Cognitive Oblectives: Cognitive Processes: *Elementary School Mathematics: Elementary Secondary Education: Learning Theories: Mathematical Concepts: Mathematics Curriculum: *Mathematics Education: *Mathematics Instruction: Number Concepts: *Subtraction: Teaching Methods IDENTIFIERS *Mathematics Education ResearCh: *Number 4 Operations ABSTRACT This-report opens by asking how operations in general, and addition and subtraction in particular, ante characterized for 'elementary school students, and examines the "standard" Instruction of these topics through secondary. schooling. Some common errors and/or "sloppiness" in the typical textbook presentations are noted, and suggestions are made that these probleks could lend to pupil difficulties in understanding mathematics. The ambiguity of interpretation .of number sentences of the VW's "a+b=c". and "a-b=c" leads into a comparison of the familiar use of binary operations with a unary-operator interpretation of such sentences. The second half of this document focuses on points of vier that promote .varying approaches to the development of mathematical skills and abilities within young children. -
Hyperoperations and Nopt Structures
Hyperoperations and Nopt Structures Alister Wilson Abstract (Beta version) The concept of formal power towers by analogy to formal power series is introduced. Bracketing patterns for combining hyperoperations are pictured. Nopt structures are introduced by reference to Nept structures. Briefly speaking, Nept structures are a notation that help picturing the seed(m)-Ackermann number sequence by reference to exponential function and multitudinous nestings thereof. A systematic structure is observed and described. Keywords: Large numbers, formal power towers, Nopt structures. 1 Contents i Acknowledgements 3 ii List of Figures and Tables 3 I Introduction 4 II Philosophical Considerations 5 III Bracketing patterns and hyperoperations 8 3.1 Some Examples 8 3.2 Top-down versus bottom-up 9 3.3 Bracketing patterns and binary operations 10 3.4 Bracketing patterns with exponentiation and tetration 12 3.5 Bracketing and 4 consecutive hyperoperations 15 3.6 A quick look at the start of the Grzegorczyk hierarchy 17 3.7 Reconsidering top-down and bottom-up 18 IV Nopt Structures 20 4.1 Introduction to Nept and Nopt structures 20 4.2 Defining Nopts from Nepts 21 4.3 Seed Values: “n” and “theta ) n” 24 4.4 A method for generating Nopt structures 25 4.5 Magnitude inequalities inside Nopt structures 32 V Applying Nopt Structures 33 5.1 The gi-sequence and g-subscript towers 33 5.2 Nopt structures and Conway chained arrows 35 VI Glossary 39 VII Further Reading and Weblinks 42 2 i Acknowledgements I’d like to express my gratitude to Wikipedia for supplying an enormous range of high quality mathematics articles. -
The Classical Matrix Groups 1 Groups
The Classical Matrix Groups CDs 270, Spring 2010/2011 The notes provide a brief review of matrix groups. The primary goal is to motivate the lan- guage and symbols used to represent rotations (SO(2) and SO(3)) and spatial displacements (SE(2) and SE(3)). 1 Groups A group, G, is a mathematical structure with the following characteristics and properties: i. the group consists of a set of elements {gj} which can be indexed. The indices j may form a finite, countably infinite, or continous (uncountably infinite) set. ii. An associative binary group operation, denoted by 0 ∗0 , termed the group product. The product of two group elements is also a group element: ∀ gi, gj ∈ G gi ∗ gj = gk, where gk ∈ G. iii. A unique group identify element, e, with the property that: e ∗ gj = gj for all gj ∈ G. −1 iv. For every gj ∈ G, there must exist an inverse element, gj , such that −1 gj ∗ gj = e. Simple examples of groups include the integers, Z, with addition as the group operation, and the real numbers mod zero, R − {0}, with multiplication as the group operation. 1.1 The General Linear Group, GL(N) The set of all N × N invertible matrices with the group operation of matrix multiplication forms the General Linear Group of dimension N. This group is denoted by the symbol GL(N), or GL(N, K) where K is a field, such as R, C, etc. Generally, we will only consider the cases where K = R or K = C, which are respectively denoted by GL(N, R) and GL(N, C). -
Group Theory
Group theory March 7, 2016 Nearly all of the central symmetries of modern physics are group symmetries, for simple a reason. If we imagine a transformation of our fields or coordinates, we can look at linear versions of those transformations. Such linear transformations may be represented by matrices, and therefore (as we shall see) even finite transformations may be given a matrix representation. But matrix multiplication has an important property: associativity. We get a group if we couple this property with three further simple observations: (1) we expect two transformations to combine in such a way as to give another allowed transformation, (2) the identity may always be regarded as a null transformation, and (3) any transformation that we can do we can also undo. These four properties (associativity, closure, identity, and inverses) are the defining properties of a group. 1 Finite groups Define: A group is a pair G = fS; ◦} where S is a set and ◦ is an operation mapping pairs of elements in S to elements in S (i.e., ◦ : S × S ! S: This implies closure) and satisfying the following conditions: 1. Existence of an identity: 9 e 2 S such that e ◦ a = a ◦ e = a; 8a 2 S: 2. Existence of inverses: 8 a 2 S; 9 a−1 2 S such that a ◦ a−1 = a−1 ◦ a = e: 3. Associativity: 8 a; b; c 2 S; a ◦ (b ◦ c) = (a ◦ b) ◦ c = a ◦ b ◦ c We consider several examples of groups. 1. The simplest group is the familiar boolean one with two elements S = f0; 1g where the operation ◦ is addition modulo two. -
Math 371 Review 1
Math 371 Review 1 Some Notation and Basic Concepts Linear Algebra fields. • Examples of fields: • { the field of rational, real and complex numbers: Q, R and C { Fp := the finite field with p elements, where p is a prime number { the field of rational functions, Q(x), R(x), C(x), consisting of quotients of poly- nomials with coefficients in Q, R, C respectively. vector spaces, subspaces. • dimension, basis, linear independence. • linear transformations (also called \homomorphisms between vector spaces") • matrix representations of a linear transformation. (So, after choosing a basis of the • source and a basis of a target vector space, a linear transformation is represented by a matrix.) Effect of change of bases on the matrix representation. direct sum of vector spaces • eigenvalues, eigenvectors, and eigenspaces (of a linear transformation), characteristic • polynomials. diagonalization (of a linear transformation) • Basic Grooup Theory groups, subgroups • Examples of groups • { cyclic groups: Z :=integers, Z=nZ = a cyclic group with n elements. { the dihedral group D2n with 2n elements; it is the group of all symmetries of a regular n-gon. { the quaternion group Q8 with 8 elements. { the \general linear groups" GLn(Q), GLn(R), GLn(C), GLn(Fp). These are the group of invertible n n matrices with coefficients in Q, R, C, and Fp respec- × tively. Notice that GL1(Q) = Q×, the group of non-zero rational numbers under multiplication; similarly GL1(R) = R×, GL1(C) = C×, GL1(Fp) = Fp×. 1 { the \special linear groups" SLn(Q), SLn(R), SLn(C) and SLn(Fp); each is the subgroup of the respective general linear group consisting of all elements whose determinant is equal to 1. -
'Doing and Undoing' Applied to the Action of Exchange Reveals
mathematics Article How the Theme of ‘Doing and Undoing’ Applied to the Action of Exchange Reveals Overlooked Core Ideas in School Mathematics John Mason 1,2 1 Department of Mathematics and Statistics, Open University, Milton Keynes MK7 6AA, UK; [email protected] 2 Department of Education, University of Oxford, 15 Norham Gardens, Oxford OX2 6PY, UK Abstract: The theme of ‘undoing a doing’ is applied to the ubiquitous action of exchange, showing how exchange pervades a school’s mathematics curriculum. It is possible that many obstacles encountered in school mathematics arise from an impoverished sense of exchange, for learners and possibly for teachers. The approach is phenomenological, in that the reader is urged to undertake the tasks themselves, so that the pedagogical and mathematical comments, and elaborations, may connect directly to immediate experience. Keywords: doing and undoing; exchange; substitution 1. Introduction Arithmetic is seen here as the study of actions (usually by numbers) on numbers, whereas calculation is an epiphenomenon: useful as a skill, but only to facilitate recognition Citation: Mason, J. How the Theme of relationships between numbers. Particular relationships may, upon articulation and of ‘Doing and Undoing’ Applied to analysis (generalisation), turn out to be properties that hold more generally. This way of the Action of Exchange Reveals thinking sets the scene for the pervasive mathematical theme of inverse, also known as Overlooked Core Ideas in School doing and undoing (Gardiner [1,2]; Mason [3]; SMP [4]). Exploiting this theme brings to Mathematics. Mathematics 2021, 9, the surface core ideas, such as exchange, which, although appearing sporadically in most 1530. -
GROUPS Contents 1. Examples of Groups 2 1.1. a Motivating Example
GROUPS SIMON WADSLEY Contents 1. Examples of groups2 1.1. A motivating example2 1.2. Some initial definitions4 1.3. Further geometric examples7 1.4. Subgroups and homomorphisms9 1.5. The M¨obiusGroup 13 2. Lagrange's Theorem 17 2.1. Cosets 17 2.2. Lagrange's Theorem 18 2.3. Groups of order at most 8 19 2.4. The Quaternions 22 2.5. Fermat{Euler theorem 22 3. Group Actions 23 3.1. Definitions and examples 23 3.2. Orbits and Stabilisers 24 3.3. Conjugacy classes 27 3.4. Cayley's Theorem 28 3.5. Cauchy's Theorem 29 4. Quotient Groups 29 4.1. Normal subgroups 29 4.2. The isomorphism theorem 32 5. Matrix groups 33 5.1. The general and special linear groups 34 5.2. M¨obiusmaps as projective linear transformations 35 5.3. Change of basis 37 5.4. The orthogonal and special orthogonal groups 39 5.5. Reflections 41 6. Permutations 44 6.1. Permutations as products of disjoint cycles 44 6.2. Permuations as products of transpositions 47 6.3. Conjugacy in Sn and in An 48 6.4. Simple groups 50 1 2 SIMON WADSLEY Purpose of notes. Please note that these are not notes of the lectures but notes made by the lecturer in preparation for the lectures. This means they may not exactly correspond to what was said and/or written during the lectures. Lecture 1 1. Examples of groups Groups are fundamentally about symmetry. More precisely they are an algebraic tool designed to abstract the notion of symmetry. -
Bitwise Operators
Logical operations ANDORNOTXORAND,OR,NOT,XOR •Loggpical operations are the o perations that have its result as a true or false. • The logical operations can be: • Unary operations that has only one operand (NOT) • ex. NOT operand • Binary operations that has two operands (AND,OR,XOR) • ex. operand 1 AND operand 2 operand 1 OR operand 2 operand 1 XOR operand 2 1 Dr.AbuArqoub Logical operations ANDORNOTXORAND,OR,NOT,XOR • Operands of logical operations can be: - operands that have values true or false - operands that have binary digits 0 or 1. (in this case the operations called bitwise operations). • In computer programming ,a bitwise operation operates on one or two bit patterns or binary numerals at the level of their individual bits. 2 Dr.AbuArqoub Truth tables • The following tables (truth tables ) that shows the result of logical operations that operates on values true, false. x y Z=x AND y x y Z=x OR y F F F F F F F T F F T T T F F T F T T T T T T T x y Z=x XOR y x NOT X F F F F T F T T T F T F T T T F 3 Dr.AbuArqoub Bitwise Operations • In computer programming ,a bitwise operation operates on one or two bit patterns or binary numerals at the level of their individual bits. • Bitwise operators • NOT • The bitwise NOT, or complement, is an unary operation that performs logical negation on each bit, forming the ones' complement of the given binary value. -
Introduction to Groups, Rings and Fields
Introduction to Groups, Rings and Fields HT and TT 2011 H. A. Priestley 0. Familiar algebraic systems: review and a look ahead. GRF is an ALGEBRA course, and specifically a course about algebraic structures. This introduc- tory section revisits ideas met in the early part of Analysis I and in Linear Algebra I, to set the scene and provide motivation. 0.1 Familiar number systems Consider the traditional number systems N = 0, 1, 2,... the natural numbers { } Z = m n m, n N the integers { − | ∈ } Q = m/n m, n Z, n = 0 the rational numbers { | ∈ } R the real numbers C the complex numbers for which we have N Z Q R C. ⊂ ⊂ ⊂ ⊂ These come equipped with the familiar arithmetic operations of sum and product. The real numbers: Analysis I built on the real numbers. Right at the start of that course you were given a set of assumptions about R, falling under three headings: (1) Algebraic properties (laws of arithmetic), (2) order properties, (3) Completeness Axiom; summarised as saying the real numbers form a complete ordered field. (1) The algebraic properties of R You were told in Analysis I: Addition: for each pair of real numbers a and b there exists a unique real number a + b such that + is a commutative and associative operation; • there exists in R a zero, 0, for addition: a +0=0+ a = a for all a R; • ∈ for each a R there exists an additive inverse a R such that a+( a)=( a)+a = 0. • ∈ − ∈ − − Multiplication: for each pair of real numbers a and b there exists a unique real number a b such that · is a commutative and associative operation; • · there exists in R an identity, 1, for multiplication: a 1 = 1 a = a for all a R; • · · ∈ for each a R with a = 0 there exists an additive inverse a−1 R such that a a−1 = • a−1 a = 1.∈ ∈ · · Addition and multiplication together: forall a,b,c R, we have the distributive law a (b + c)= a b + a c. -
Notes on Algebraic Structures
Notes on Algebraic Structures Peter J. Cameron ii Preface These are the notes of the second-year course Algebraic Structures I at Queen Mary, University of London, as I taught it in the second semester 2005–2006. After a short introductory chapter consisting mainly of reminders about such topics as functions, equivalence relations, matrices, polynomials and permuta- tions, the notes fall into two chapters, dealing with rings and groups respec- tively. I have chosen this order because everybody is familiar with the ring of integers and can appreciate what we are trying to do when we generalise its prop- erties; there is no well-known group to play the same role. Fairly large parts of the two chapters (subrings/subgroups, homomorphisms, ideals/normal subgroups, Isomorphism Theorems) run parallel to each other, so the results on groups serve as revision for the results on rings. Towards the end, the two topics diverge. In ring theory, we study factorisation in integral domains, and apply it to the con- struction of fields; in group theory we prove Cayley’s Theorem and look at some small groups. The set text for the course is my own book Introduction to Algebra, Ox- ford University Press. I have refrained from reading the book while teaching the course, preferring to have another go at writing out this material. According to the learning outcomes for the course, a studing passing the course is expected to be able to do the following: • Give the following. Definitions of binary operations, associative, commuta- tive, identity element, inverses, cancellation. Proofs of uniqueness of iden- tity element, and of inverse.