EXERCISES. a b = a + b l aq b = ab - (a + b) + 2. a b = a + b + 1 n0i) = oii + ii + fi. A. Examples of Rings. C. Ring of 2 x 2 Matrices

Size: px
Start display at page:

Download "EXERCISES. a b = a + b l aq b = ab - (a + b) + 2. a b = a + b + 1 n0i) = oii + ii + fi. A. Examples of Rings. C. Ring of 2 x 2 Matrices"

Transcription

1 / rings definitions and elementary properties 171 EXERCISES A. Examples of Rings In each of the following, a set A with operations of addition and multiplication is given. Prove that A satisfies all the axioms to be a commutative ring with unity. Indicate the zero element, the unity, and the negative ofan arbitrary a. 1 A is the set Z of the integers, with the following "addition" and "multiplication" O a b = a + b l aq b = ab - (a + b) A is the set Q of the rational numbers, and the operations are and O defined as follows a b = a + b + 1 n0i) = oii + ii + fi 3 A is the set Q x Q of ordered pairs of rational numbers, and the operations are the following addition and multiplication (a, = (a + c,b + d) (a, b) Q(c,d) = (ac - bd, ad + be) 4 A = {x + y^jl x, y ez} with conventional addition and multiplication. 5 Prove that the ring in part 1 is an integral domain. 6 Prove that the ring in part 2 is a field, and indicate the multiplicative inverse of an arbitrary nonzero element. 7 Do the same for the ring in part 3. B. Ring of Real Functions 1 Verify that ^"(IR) satisfies all the axioms for being a commutative ring with unity. Indicate the zero and unity, and describe the negative of any 2 Describe the divisors of zero in ^(U). 3 Describe the invertible elements in ^"(IR). 4 Explain why J 5" (R) is neither a field nor an integral domain. C. Ring of 2 x 2 Matrices Let Jt 2 (K) designate the set of all 2 x 2 matrices whose entries are real numbers a, b, c, and d, with the following addition and

2 172 CHAPTER SEVENTEEN multiplication and a b\ fr s\ fa + rb c d) \t u)~\c + t d a b\ fr s\ far + bt as c d)\t u) \cr + dt cs + du) 1 Verify that JK 2 (U) satisfies the ring axioms. 2 Show that J? 2 (R) is commutative and has a unity. 3 Explain why Jt 2 (U) is not an integral domain or a field. D. Rings of Subsets of a Set If D is a set, then the power set of D is the set P D of all the subsets of D. Addition and multiplication are defined as follows If A and B are elements of P D (that is, subsets of D), then A + B = (A - B) u (B - A) and AB = A n B It was shown in Chapter 3, Exercise C, that P D with addition alone is an abelian group. Now prove thefollowing 1 P D is a commutative ring with unity. (You may assume n is associative; for the distributive law, use the same diagram and approach as was used to prove that addition is associative in Chapter 3, Exercise C.) 2 Describe the divisors of zero in P D. 3 Describe the invertible elements in P D. 4 Explain why P D is neither a field nor an integral domain. 5 Give the tables of P 3, that is, P D where D = {1, 2, 3}. E. Ring of Quaternions A quaternion (in matrix form) is a 2 x 2 matrix of complex numbers of the form _ / a + bi c + di\ \ c + di a bi) 1 Prove that the set of all the quaternions, with the matrix addition and multiplication explained on page 8, is a ring with unity. This ring is denoted by the symbol St. Find an example to show that 2. is not commutative. (You may assume matrix addition and multiplication are associative and obey the distributive law.) 2 Let

3 rings definitions and elementary properties 173 Show that the quaternion a, defined previously, may be written in the form a = al + bi + cj + dk (This is the standard notation for quaternions.) 3 Prove the following formulas i 2 = j 2 = k 2 = 1 ij = ji = k jk = kj = i ki = ik = j 4 The conjugate of a is (a bi c di\ c di a + bi) The norm of a is a 2 + b 2 + c 2 + d 2, and is written a. Show directly (by matrix multiplication) that oca = aa = I ft 0\ ) where t = a Conclude that the multiplicative inverse of a is (l/t)a- 5 A skew field is a (not necessarily commutative) ring with unity in which every nonzero element has a multiplicative inverse. Conclude from parts 1 and 4 that Q is a skew field. F. Ring of -Endomorphisms Let G be an abelian group in additive notation. An endomorphism of G is a homomorphism from G to G. Let End(G) denote the set of all the endomorphisms of G, and define addition and multiplication of endomorphisms as follows lf+9~}(x)=f(x ) + g(x) for every x in G Uo\ = f g tne composite of/ and g 1 Prove that End(G) with these operations is a ring with unity. 2 List the elements of End(Z 4 ), then give the addition and multiplication tables for End(Z 4 ). Remark The endomorphisms of Z 4 are easy to find. Any endomorphisms of Z 4 will carry 1 to either 0, 1,2, or 3. For example, take the last case if then necessarily 1 + 1^ = ^ = 1 and 0^0 hence / is completely determined by the fact that

4 174 CHAPTER SEVENTEEN G. Direct Product of Rings If A and B are rings, their direct product is a new ring, denoted by A x B, and defined as follows A x B consists of all the ordered pairs (x, y) where x is in A and y is in B. Addition in A x B consists of adding corresponding components (xi, yi) + (x 2, y 2) = (*i +x 2,yi+ y 2) Multiplication in A x B consists of multiplying corresponding components (*i> yi)-(x 2,y2 ) = (xix 2,y i y 2 ) 1 If A and B are rings, verify that A x B is a ring. 2 If A and B are commutative, show that A x B is commutative. If A and B each has a unity, show that A x B has a unity. 3 Describe carefully the divisors of zero in A x B. 4 Describe the invertible elements in A x B. 5 Explain why A x B can never be an integral domain or a field. (Assume A x B has more than one element.) H. Elementary Properties of Rings Prove each of thefollowing 1 In any ring, a(b c) = ab ac and (b c)a ^ ba ca. 2 In any ring, if ab = ba, then (a + ft) 2 = (a b) 2 = a 2 + b 2. 3 In any integral domain, if a 2 = b 2, then a = ± b. 4 In any integral domain, only 1 and 1 are their own multiplicative inverses. (Note that x = x" 1 iff x 2 = 1.) 5 Show that the commutative law for addition need not be assumed in defining a ring with unity it may be proved from the other axioms. [Hint Use the distributive law to expand (a + b)(l + 1) in two different ways.] 6 Let A be any ring. Prove that if the additive group of A is cyclic, then A is a commutative ring. 7 In any integral domain, if a" = 0 for some integer n, then a = 0. I. Properties of Invertible Elements Prove that each of thefollowing is true in a nontrivial ring with unity. 1 If a is invertible and ab = ac, then b = c. 2 An element a can have no more than one multiplicative inverse. 3 If a 2 = 0 then a + 1 and a 1 are invertible. 4 If a and b are invertible, their product ab is invertible.

5 rings definitions and elementary properties The set S of all the invertible elements in a ring is a multiplicative group. 6 By part 5, the set of all the nonzero elements in a field is a multiplicative group. Now use Lagrange's theorem to prove that in a finite field with m elements, x" 1-1 = 1 for every x # 0. 7 If ax = 1, x is a right inverse of a; if ya = 1, y is a te/f inverse of a. Prove that if a has a right inverse x aurf a left inverse then a is invertible, and its inverse is equal to x and to y. (First show that yaxa =1.) 8 In a commutative ring, if ab is invertible, then a and ft are both invertible. J. Properties of Divisors of Zero Prove that each of thefollowing is true in a nontrivial ring. 1 If a + 1 and a 2 = 1, then a + 1 and a 1 are divisors of zero. 2 If aft is a divisor of zero, then a or ft is a divisor of zero. 3 In a commutative ring with unity, a divisor of zero cannot be invertible. 4 Suppose ab 0 in a commutative ring. If either a or ft is a divisor of zero, so is ab. 5 Suppose a is neither 0 nor a divisor of zero. If ab = ac, then ft = c. 6 A x B always has divisors of zero. K. Boolean Rings A ring A is a boolean ring if a 2 = a for every as A. Prove that each of the following is true in an arbitrary boolean ring A. 1 For every a e A, a = a. [Hint Expand (a + a) 2.] 2 Use part 1 to prove that A is a commutative ring. [Hint Expand (a + ft) 2.] In parts 3 and 4, assume A has a unity. 3 Every element except 0 and 1 is a divisor of zero. [Consider x(x 1).] 4 1 is the only invertible element in A. 5 Letting a V ft = a + ft + aft, we have the following in A flv be = (av ftxav c) a V (1 + a) = 1 ava = a a(avft) = a L. The Binomial Formula An important formula in elementary algebra is the binomial expansion formula for an expression (a + ft)". The formula is as follows

6 176 CHAPTER SEVENTEEN where the binomial coefficient /n\ tin - l)(n - 2) (n - k + 1) W ~ k\ This theorem is true in every commutative ring. (If k is any positive integer and a is an element of a ring, ka refers to the sum a + a + + a with k terms, as in elementary algebra.) The proof of the binomial theorem in a commutative ring is no different from the proof in elementary algebra. We shall review it here. The proof of the binomial formula is by induction on the exponent n. The formula is trivially true for n = 1. In the induction step, we assume the expansion for (a + by is as above, and we must prove that Now, (a + bf +1 = (a + bf +1 = (a + b)(a + b) n n+l ( )a n + l ' k b k fc = 0 V * / = (a + b)i(^a-v = lot>" +, " V + log>"" V+1 Collecting terms, we find that the coefficient of a n+ ~ 1 k b k is (K-,) By direct computation, show that CH-Hr) 1 It will follow that (a + is as claimed, and the proof is complete. M. Nilpotent and Unipotent Elements An element a of a ring is nilpotent if a" = 0 for some positive integer n. 1 In a ring with unity, prove that if a is nilpotent, then a + 1 and a 1 are both invertible. [Hint Use the factorization 1 - a" = (1 +a + a a"~ 1 ) for 1 a, and a similar formula for 1 4- a.] 2 In a commutative ring, prove that any product xa of a nilpotent element a by any element x is nilpotent.

7 rings definitions and elementary properties In a commutative ring, prove that the sum of two nilpotent elements is nilpotent. (Hint You must use the binomial formula; see Exercise L.) An element a of a ring is unipotent iff 1 a is nilpotent. 4 In a commutative ring, prove that the product of two unipotent elements a and b is unipotent. [Hint Use the binomial formula to expand 1 ab = (1 + a) + a(l b) to power h + m.] 5 In a commutative ring, prove that every unipotent element is invertible. (Hint Use the binomial expansion formula.)

Chapter XI Novanion rings

Chapter XI Novanion rings Chapter XI Novanion rings 11.1 Introduction. In this chapter we continue to provide general structures for theories in physics. J. F. Adams proved in 1960 that the only possible division algebras are at

More information

CHAPTER I. Rings. Definition A ring R is a set with two binary operations, addition + and

CHAPTER I. Rings. Definition A ring R is a set with two binary operations, addition + and CHAPTER I Rings 1.1 Definitions and Examples Definition 1.1.1. A ring R is a set with two binary operations, addition + and multiplication satisfying the following conditions for all a, b, c in R : (i)

More information

Algebraic structures I

Algebraic structures I MTH5100 Assignment 1-10 Algebraic structures I For handing in on various dates January March 2011 1 FUNCTIONS. Say which of the following rules successfully define functions, giving reasons. For each one

More information

Exercises on chapter 1

Exercises on chapter 1 Exercises on chapter 1 1. Let G be a group and H and K be subgroups. Let HK = {hk h H, k K}. (i) Prove that HK is a subgroup of G if and only if HK = KH. (ii) If either H or K is a normal subgroup of G

More information

MODEL ANSWERS TO HWK #7. 1. Suppose that F is a field and that a and b are in F. Suppose that. Thus a = 0. It follows that F is an integral domain.

MODEL ANSWERS TO HWK #7. 1. Suppose that F is a field and that a and b are in F. Suppose that. Thus a = 0. It follows that F is an integral domain. MODEL ANSWERS TO HWK #7 1. Suppose that F is a field and that a and b are in F. Suppose that a b = 0, and that b 0. Let c be the inverse of b. Multiplying the equation above by c on the left, we get 0

More information

Group, Rings, and Fields Rahul Pandharipande. I. Sets Let S be a set. The Cartesian product S S is the set of ordered pairs of elements of S,

Group, Rings, and Fields Rahul Pandharipande. I. Sets Let S be a set. The Cartesian product S S is the set of ordered pairs of elements of S, Group, Rings, and Fields Rahul Pandharipande I. Sets Let S be a set. The Cartesian product S S is the set of ordered pairs of elements of S, A binary operation φ is a function, S S = {(x, y) x, y S}. φ

More information

0 Sets and Induction. Sets

0 Sets and Induction. Sets 0 Sets and Induction Sets A set is an unordered collection of objects, called elements or members of the set. A set is said to contain its elements. We write a A to denote that a is an element of the set

More information

Chapter 4. Matrices and Matrix Rings

Chapter 4. Matrices and Matrix Rings Chapter 4 Matrices and Matrix Rings We first consider matrices in full generality, i.e., over an arbitrary ring R. However, after the first few pages, it will be assumed that R is commutative. The topics,

More information

Algebra Review. Instructor: Laszlo Babai Notes by Vincent Lucarelli and the instructor. June 15, 2001

Algebra Review. Instructor: Laszlo Babai Notes by Vincent Lucarelli and the instructor. June 15, 2001 Algebra Review Instructor: Laszlo Babai Notes by Vincent Lucarelli and the instructor June 15, 2001 1 Groups Definition 1.1 A semigroup (G, ) is a set G with a binary operation such that: Axiom 1 ( a,

More information

Abstract Algebra II Groups ( )

Abstract Algebra II Groups ( ) Abstract Algebra II Groups ( ) Melchior Grützmann / melchiorgfreehostingcom/algebra October 15, 2012 Outline Group homomorphisms Free groups, free products, and presentations Free products ( ) Definition

More information

1 Fields and vector spaces

1 Fields and vector spaces 1 Fields and vector spaces In this section we revise some algebraic preliminaries and establish notation. 1.1 Division rings and fields A division ring, or skew field, is a structure F with two binary

More information

Groups. 3.1 Definition of a Group. Introduction. Definition 3.1 Group

Groups. 3.1 Definition of a Group. Introduction. Definition 3.1 Group C H A P T E R t h r e E Groups Introduction Some of the standard topics in elementary group theory are treated in this chapter: subgroups, cyclic groups, isomorphisms, and homomorphisms. In the development

More information

MODEL ANSWERS TO THE FIRST HOMEWORK

MODEL ANSWERS TO THE FIRST HOMEWORK MODEL ANSWERS TO THE FIRST HOMEWORK 1. Chapter 4, 1: 2. Suppose that F is a field and that a and b are in F. Suppose that a b = 0, and that b 0. Let c be the inverse of b. Multiplying the equation above

More information

Section 19 Integral domains

Section 19 Integral domains Section 19 Integral domains Instructor: Yifan Yang Spring 2007 Observation and motivation There are rings in which ab = 0 implies a = 0 or b = 0 For examples, Z, Q, R, C, and Z[x] are all such rings There

More information

Chapter 3. Rings. The basic commutative rings in mathematics are the integers Z, the. Examples

Chapter 3. Rings. The basic commutative rings in mathematics are the integers Z, the. Examples Chapter 3 Rings Rings are additive abelian groups with a second operation called multiplication. The connection between the two operations is provided by the distributive law. Assuming the results of Chapter

More information

Introduction to abstract algebra: definitions, examples, and exercises

Introduction to abstract algebra: definitions, examples, and exercises Introduction to abstract algebra: definitions, examples, and exercises Travis Schedler January 21, 2015 1 Definitions and some exercises Definition 1. A binary operation on a set X is a map X X X, (x,

More information

EXERCISES. = {1, 4}, and. The zero coset is J. Thus, by (***), to say that J 4- a iu not zero, is to

EXERCISES. = {1, 4}, and. The zero coset is J. Thus, by (***), to say that J 4- a iu not zero, is to 19 CHAPTER NINETEEN Whenever J is a prime ideal of a commutative ring with unity A, the quotient ring A/J is an integral domain. (The details are left as an exercise.) An ideal of a ring is called proper

More information

Algebra Homework, Edition 2 9 September 2010

Algebra Homework, Edition 2 9 September 2010 Algebra Homework, Edition 2 9 September 2010 Problem 6. (1) Let I and J be ideals of a commutative ring R with I + J = R. Prove that IJ = I J. (2) Let I, J, and K be ideals of a principal ideal domain.

More information

A matrix over a field F is a rectangular array of elements from F. The symbol

A matrix over a field F is a rectangular array of elements from F. The symbol Chapter MATRICES Matrix arithmetic A matrix over a field F is a rectangular array of elements from F The symbol M m n (F ) denotes the collection of all m n matrices over F Matrices will usually be denoted

More information

Rings If R is a commutative ring, a zero divisor is a nonzero element x such that xy = 0 for some nonzero element y R.

Rings If R is a commutative ring, a zero divisor is a nonzero element x such that xy = 0 for some nonzero element y R. Rings 10-26-2008 A ring is an abelian group R with binary operation + ( addition ), together with a second binary operation ( multiplication ). Multiplication must be associative, and must distribute over

More information

MATH 326: RINGS AND MODULES STEFAN GILLE

MATH 326: RINGS AND MODULES STEFAN GILLE MATH 326: RINGS AND MODULES STEFAN GILLE 1 2 STEFAN GILLE 1. Rings We recall first the definition of a group. 1.1. Definition. Let G be a non empty set. The set G is called a group if there is a map called

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K R MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND First Printing, 99 Chapter LINEAR EQUATIONS Introduction to linear equations A linear equation in n unknowns x,

More information

a b (mod m) : m b a with a,b,c,d real and ad bc 0 forms a group, again under the composition as operation.

a b (mod m) : m b a with a,b,c,d real and ad bc 0 forms a group, again under the composition as operation. Homework for UTK M351 Algebra I Fall 2013, Jochen Denzler, MWF 10:10 11:00 Each part separately graded on a [0/1/2] scale. Problem 1: Recalling the field axioms from class, prove for any field F (i.e.,

More information

a 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2.

a 11 x 1 + a 12 x a 1n x n = b 1 a 21 x 1 + a 22 x a 2n x n = b 2. Chapter 1 LINEAR EQUATIONS 11 Introduction to linear equations A linear equation in n unknowns x 1, x,, x n is an equation of the form a 1 x 1 + a x + + a n x n = b, where a 1, a,, a n, b are given real

More information

Eighth Homework Solutions

Eighth Homework Solutions Math 4124 Wednesday, April 20 Eighth Homework Solutions 1. Exercise 5.2.1(e). Determine the number of nonisomorphic abelian groups of order 2704. First we write 2704 as a product of prime powers, namely

More information

Written Homework # 4 Solution

Written Homework # 4 Solution Math 516 Fall 2006 Radford Written Homework # 4 Solution 12/10/06 You may use results form the book in Chapters 1 6 of the text, from notes found on our course web page, and results of the previous homework.

More information

HOMEWORK Graduate Abstract Algebra I May 2, 2004

HOMEWORK Graduate Abstract Algebra I May 2, 2004 Math 5331 Sec 121 Spring 2004, UT Arlington HOMEWORK Graduate Abstract Algebra I May 2, 2004 The required text is Algebra, by Thomas W. Hungerford, Graduate Texts in Mathematics, Vol 73, Springer. (it

More information

GROUPS. Chapter-1 EXAMPLES 1.1. INTRODUCTION 1.2. BINARY OPERATION

GROUPS. Chapter-1 EXAMPLES 1.1. INTRODUCTION 1.2. BINARY OPERATION Chapter-1 GROUPS 1.1. INTRODUCTION The theory of groups arose from the theory of equations, during the nineteenth century. Originally, groups consisted only of transformations. The group of transformations

More information

Elementary linear algebra

Elementary linear algebra Chapter 1 Elementary linear algebra 1.1 Vector spaces Vector spaces owe their importance to the fact that so many models arising in the solutions of specific problems turn out to be vector spaces. The

More information

A Little Beyond: Linear Algebra

A Little Beyond: Linear Algebra A Little Beyond: Linear Algebra Akshay Tiwary March 6, 2016 Any suggestions, questions and remarks are welcome! 1 A little extra Linear Algebra 1. Show that any set of non-zero polynomials in [x], no two

More information

1 First Theme: Sums of Squares

1 First Theme: Sums of Squares I will try to organize the work of this semester around several classical questions. The first is, When is a prime p the sum of two squares? The question was raised by Fermat who gave the correct answer

More information

1. Introduction to commutative rings and fields

1. Introduction to commutative rings and fields 1. Introduction to commutative rings and fields Very informally speaking, a commutative ring is a set in which we can add, subtract and multiply elements so that the usual laws hold. A field is a commutative

More information

Section 18 Rings and fields

Section 18 Rings and fields Section 18 Rings and fields Instructor: Yifan Yang Spring 2007 Motivation Many sets in mathematics have two binary operations (and thus two algebraic structures) For example, the sets Z, Q, R, M n (R)

More information

Subrings and Ideals 2.1 INTRODUCTION 2.2 SUBRING

Subrings and Ideals 2.1 INTRODUCTION 2.2 SUBRING Subrings and Ideals Chapter 2 2.1 INTRODUCTION In this chapter, we discuss, subrings, sub fields. Ideals and quotient ring. We begin our study by defining a subring. If (R, +, ) is a ring and S is a non-empty

More information

A FIRST COURSE IN LINEAR ALGEBRA. An Open Text by Ken Kuttler. Matrix Arithmetic

A FIRST COURSE IN LINEAR ALGEBRA. An Open Text by Ken Kuttler. Matrix Arithmetic A FIRST COURSE IN LINEAR ALGEBRA An Open Text by Ken Kuttler Matrix Arithmetic Lecture Notes by Karen Seyffarth Adapted by LYRYX SERVICE COURSE SOLUTION Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)

More information

EXERCISE SET 5.1. = (kx + kx + k, ky + ky + k ) = (kx + kx + 1, ky + ky + 1) = ((k + )x + 1, (k + )y + 1)

EXERCISE SET 5.1. = (kx + kx + k, ky + ky + k ) = (kx + kx + 1, ky + ky + 1) = ((k + )x + 1, (k + )y + 1) EXERCISE SET 5. 6. The pair (, 2) is in the set but the pair ( )(, 2) = (, 2) is not because the first component is negative; hence Axiom 6 fails. Axiom 5 also fails. 8. Axioms, 2, 3, 6, 9, and are easily

More information

Math 120 HW 9 Solutions

Math 120 HW 9 Solutions Math 120 HW 9 Solutions June 8, 2018 Question 1 Write down a ring homomorphism (no proof required) f from R = Z[ 11] = {a + b 11 a, b Z} to S = Z/35Z. The main difficulty is to find an element x Z/35Z

More information

Solutions to Assignment 4

Solutions to Assignment 4 1. Let G be a finite, abelian group written additively. Let x = g G g, and let G 2 be the subgroup of G defined by G 2 = {g G 2g = 0}. (a) Show that x = g G 2 g. (b) Show that x = 0 if G 2 = 2. If G 2

More information

When is the Ring of 2x2 Matrices over a Ring Galois?

When is the Ring of 2x2 Matrices over a Ring Galois? International Journal of Algebra, Vol. 7, 2013, no. 9, 439-444 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ija.2013.3445 When is the Ring of 2x2 Matrices over a Ring Galois? Audrey Nelson Department

More information

1. Introduction to commutative rings and fields

1. Introduction to commutative rings and fields 1. Introduction to commutative rings and fields Very informally speaking, a commutative ring is a set in which we can add, subtract and multiply elements so that the usual laws hold. A field is a commutative

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K. R. MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Corrected Version, 7th April 013 Comments to the author at keithmatt@gmail.com Chapter 1 LINEAR EQUATIONS 1.1

More information

Kevin James. MTHSC 412 Section 3.1 Definition and Examples of Rings

Kevin James. MTHSC 412 Section 3.1 Definition and Examples of Rings MTHSC 412 Section 3.1 Definition and Examples of Rings A ring R is a nonempty set R together with two binary operations (usually written as addition and multiplication) that satisfy the following axioms.

More information

Number Axioms. P. Danziger. A Group is a set S together with a binary operation (*) on S, denoted a b such that for all a, b. a b S.

Number Axioms. P. Danziger. A Group is a set S together with a binary operation (*) on S, denoted a b such that for all a, b. a b S. Appendix A Number Axioms P. Danziger 1 Number Axioms 1.1 Groups Definition 1 A Group is a set S together with a binary operation (*) on S, denoted a b such that for all a, b and c S 0. (Closure) 1. (Associativity)

More information

2a 2 4ac), provided there is an element r in our

2a 2 4ac), provided there is an element r in our MTH 310002 Test II Review Spring 2012 Absractions versus examples The purpose of abstraction is to reduce ideas to their essentials, uncluttered by the details of a specific situation Our lectures built

More information

9 Solutions for Section 2

9 Solutions for Section 2 9 Solutions for Section 2 Exercise 2.1 Show that isomorphism is an equivalence relation on rings. (Of course, first you ll need to recall what is meant by an equivalence relation. Solution Most of this

More information

Using semidirect product of (semi)groups in public key cryptography

Using semidirect product of (semi)groups in public key cryptography Using semidirect product of (semi)groups in public key cryptography Delaram Kahrobaei City University of New York Graduate Center: PhD Program in Computer Science NYCCT: Mathematics Department University

More information

Lecture Notes in Linear Algebra

Lecture Notes in Linear Algebra Lecture Notes in Linear Algebra Dr. Abdullah Al-Azemi Mathematics Department Kuwait University February 4, 2017 Contents 1 Linear Equations and Matrices 1 1.2 Matrices............................................

More information

1. Group Theory Permutations.

1. Group Theory Permutations. 1.1. Permutations. 1. Group Theory Problem 1.1. Let G be a subgroup of S n of index 2. Show that G = A n. Problem 1.2. Find two elements of S 7 that have the same order but are not conjugate. Let π S 7

More information

MINIMAL GENERATING SETS OF GROUPS, RINGS, AND FIELDS

MINIMAL GENERATING SETS OF GROUPS, RINGS, AND FIELDS MINIMAL GENERATING SETS OF GROUPS, RINGS, AND FIELDS LORENZ HALBEISEN, MARTIN HAMILTON, AND PAVEL RŮŽIČKA Abstract. A subset X of a group (or a ring, or a field) is called generating, if the smallest subgroup

More information

CS 246 Review of Linear Algebra 01/17/19

CS 246 Review of Linear Algebra 01/17/19 1 Linear algebra In this section we will discuss vectors and matrices. We denote the (i, j)th entry of a matrix A as A ij, and the ith entry of a vector as v i. 1.1 Vectors and vector operations A vector

More information

Abstract Algebra: Chapters 16 and 17

Abstract Algebra: Chapters 16 and 17 Study polynomials, their factorization, and the construction of fields. Chapter 16 Polynomial Rings Notation Let R be a commutative ring. The ring of polynomials over R in the indeterminate x is the set

More information

Systems of Linear Equations and Matrices

Systems of Linear Equations and Matrices Chapter 1 Systems of Linear Equations and Matrices System of linear algebraic equations and their solution constitute one of the major topics studied in the course known as linear algebra. In the first

More information

MAT 2037 LINEAR ALGEBRA I web:

MAT 2037 LINEAR ALGEBRA I web: MAT 237 LINEAR ALGEBRA I 2625 Dokuz Eylül University, Faculty of Science, Department of Mathematics web: Instructor: Engin Mermut http://kisideuedutr/enginmermut/ HOMEWORK 2 MATRIX ALGEBRA Textbook: Linear

More information

Matrix Arithmetic. j=1

Matrix Arithmetic. j=1 An m n matrix is an array A = Matrix Arithmetic a 11 a 12 a 1n a 21 a 22 a 2n a m1 a m2 a mn of real numbers a ij An m n matrix has m rows and n columns a ij is the entry in the i-th row and j-th column

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K R MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Second Online Version, December 998 Comments to the author at krm@mathsuqeduau All contents copyright c 99 Keith

More information

sin(α + θ) = sin α cos θ + cos α sin θ cos(α + θ) = cos α cos θ sin α sin θ

sin(α + θ) = sin α cos θ + cos α sin θ cos(α + θ) = cos α cos θ sin α sin θ Rotations in the 2D Plane Trigonometric addition formulas: sin(α + θ) = sin α cos θ + cos α sin θ cos(α + θ) = cos α cos θ sin α sin θ Rotate coordinates by angle θ: 1. Start with x = r cos α y = r sin

More information

Math 3108: Linear Algebra

Math 3108: Linear Algebra Math 3108: Linear Algebra Instructor: Jason Murphy Department of Mathematics and Statistics Missouri University of Science and Technology 1 / 323 Contents. Chapter 1. Slides 3 70 Chapter 2. Slides 71 118

More information

Systems of Linear Equations and Matrices

Systems of Linear Equations and Matrices Chapter 1 Systems of Linear Equations and Matrices System of linear algebraic equations and their solution constitute one of the major topics studied in the course known as linear algebra. In the first

More information

NATIONAL BOARD FOR HIGHER MATHEMATICS. M. A. and M.Sc. Scholarship Test. September 22, Time Allowed: 150 Minutes Maximum Marks: 30

NATIONAL BOARD FOR HIGHER MATHEMATICS. M. A. and M.Sc. Scholarship Test. September 22, Time Allowed: 150 Minutes Maximum Marks: 30 NATIONAL BOARD FOR HIGHER MATHEMATICS M A and MSc Scholarship Test September 22, 2018 Time Allowed: 150 Minutes Maximum Marks: 30 Please read, carefully, the instructions that follow INSTRUCTIONS TO CANDIDATES

More information

ELEMENTARY LINEAR ALGEBRA

ELEMENTARY LINEAR ALGEBRA ELEMENTARY LINEAR ALGEBRA K. R. MATTHEWS DEPARTMENT OF MATHEMATICS UNIVERSITY OF QUEENSLAND Second Online Version, December 1998 Comments to the author at krm@maths.uq.edu.au Contents 1 LINEAR EQUATIONS

More information

j=1 x j p, if 1 p <, x i ξ : x i < ξ} 0 as p.

j=1 x j p, if 1 p <, x i ξ : x i < ξ} 0 as p. LINEAR ALGEBRA Fall 203 The final exam Almost all of the problems solved Exercise Let (V, ) be a normed vector space. Prove x y x y for all x, y V. Everybody knows how to do this! Exercise 2 If V is a

More information

Serge Ballif January 18, 2008

Serge Ballif January 18, 2008 ballif@math.psu.edu The Pennsylvania State University January 18, 2008 Outline Rings Division Rings Noncommutative Rings s Roots of Rings Definition A ring R is a set toger with two binary operations +

More information

Solutions to Assignment 3

Solutions to Assignment 3 Solutions to Assignment 3 Question 1. [Exercises 3.1 # 2] Let R = {0 e b c} with addition multiplication defined by the following tables. Assume associativity distributivity show that R is a ring with

More information

5.2.8: Let A be a finite abelian group written multplicatively, and let p be a prime. Define

5.2.8: Let A be a finite abelian group written multplicatively, and let p be a prime. Define Lecture 7 5.2 The fundamental theorem of abelian groups is one of the basic theorems in group theory and was proven over a century before the more general theorem we will not cover of which it is a special

More information

Matrix Theory. A.Holst, V.Ufnarovski

Matrix Theory. A.Holst, V.Ufnarovski Matrix Theory AHolst, VUfnarovski 55 HINTS AND ANSWERS 9 55 Hints and answers There are two different approaches In the first one write A as a block of rows and note that in B = E ij A all rows different

More information

Math 547, Exam 1 Information.

Math 547, Exam 1 Information. Math 547, Exam 1 Information. 2/10/10, LC 303B, 10:10-11:00. Exam 1 will be based on: Sections 5.1, 5.2, 5.3, 9.1; The corresponding assigned homework problems (see http://www.math.sc.edu/ boylan/sccourses/547sp10/547.html)

More information

To hand in: (a) Prove that a group G is abelian (= commutative) if and only if (xy) 2 = x 2 y 2 for all x, y G.

To hand in: (a) Prove that a group G is abelian (= commutative) if and only if (xy) 2 = x 2 y 2 for all x, y G. Homework #6. Due Thursday, October 14th Reading: For this homework assignment: Sections 3.3 and 3.4 (up to page 167) Before the class next Thursday: Sections 3.5 and 3.4 (pp. 168-171). Also review the

More information

ALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 2: HILBERT S NULLSTELLENSATZ.

ALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 2: HILBERT S NULLSTELLENSATZ. ALGEBRAIC GEOMETRY COURSE NOTES, LECTURE 2: HILBERT S NULLSTELLENSATZ. ANDREW SALCH 1. Hilbert s Nullstellensatz. The last lecture left off with the claim that, if J k[x 1,..., x n ] is an ideal, then

More information

II. Determinant Functions

II. Determinant Functions Supplemental Materials for EE203001 Students II Determinant Functions Chung-Chin Lu Department of Electrical Engineering National Tsing Hua University May 22, 2003 1 Three Axioms for a Determinant Function

More information

a + b = b + a and a b = b a. (a + b) + c = a + (b + c) and (a b) c = a (b c). a (b + c) = a b + a c and (a + b) c = a c + b c.

a + b = b + a and a b = b a. (a + b) + c = a + (b + c) and (a b) c = a (b c). a (b + c) = a b + a c and (a + b) c = a c + b c. Properties of the Integers The set of all integers is the set and the subset of Z given by Z = {, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, }, N = {0, 1, 2, 3, 4, }, is the set of nonnegative integers (also called

More information

Modern Computer Algebra

Modern Computer Algebra Modern Computer Algebra Exercises to Chapter 25: Fundamental concepts 11 May 1999 JOACHIM VON ZUR GATHEN and JÜRGEN GERHARD Universität Paderborn 25.1 Show that any subgroup of a group G contains the neutral

More information

Properties of the Integers

Properties of the Integers Properties of the Integers The set of all integers is the set and the subset of Z given by Z = {, 5, 4, 3, 2, 1, 0, 1, 2, 3, 4, 5, }, N = {0, 1, 2, 3, 4, }, is the set of nonnegative integers (also called

More information

QUARTERNIONS AND THE FOUR SQUARE THEOREM

QUARTERNIONS AND THE FOUR SQUARE THEOREM QUARTERNIONS AND THE FOUR SQUARE THEOREM JIA HONG RAY NG Abstract. The Four Square Theorem was proved by Lagrange in 1770: every positive integer is the sum of at most four squares of positive integers,

More information

Homework problems from Chapters IV-VI: answers and solutions

Homework problems from Chapters IV-VI: answers and solutions Homework problems from Chapters IV-VI: answers and solutions IV.21.1. In this problem we have to describe the field F of quotients of the domain D. Note that by definition, F is the set of equivalence

More information

Note that a unit is unique: 1 = 11 = 1. Examples: Nonnegative integers under addition; all integers under multiplication.

Note that a unit is unique: 1 = 11 = 1. Examples: Nonnegative integers under addition; all integers under multiplication. Algebra fact sheet An algebraic structure (such as group, ring, field, etc.) is a set with some operations and distinguished elements (such as 0, 1) satisfying some axioms. This is a fact sheet with definitions

More information

CLASS 12 ALGEBRA OF MATRICES

CLASS 12 ALGEBRA OF MATRICES CLASS 12 ALGEBRA OF MATRICES Deepak Sir 9811291604 SHRI SAI MASTERS TUITION CENTER CLASS 12 A matrix is an ordered rectangular array of numbers or functions. The numbers or functions are called the elements

More information

Matrix Algebra. Matrix Algebra. Chapter 8 - S&B

Matrix Algebra. Matrix Algebra. Chapter 8 - S&B Chapter 8 - S&B Algebraic operations Matrix: The size of a matrix is indicated by the number of its rows and the number of its columns. A matrix with k rows and n columns is called a k n matrix. The number

More information

2.3. VECTOR SPACES 25

2.3. VECTOR SPACES 25 2.3. VECTOR SPACES 25 2.3 Vector Spaces MATH 294 FALL 982 PRELIM # 3a 2.3. Let C[, ] denote the space of continuous functions defined on the interval [,] (i.e. f(x) is a member of C[, ] if f(x) is continuous

More information

Rings, Integral Domains, and Fields

Rings, Integral Domains, and Fields Rings, Integral Domains, and Fields S. F. Ellermeyer September 26, 2006 Suppose that A is a set of objects endowed with two binary operations called addition (and denoted by + ) and multiplication (denoted

More information

CS100: DISCRETE STRUCTURES. Lecture 3 Matrices Ch 3 Pages:

CS100: DISCRETE STRUCTURES. Lecture 3 Matrices Ch 3 Pages: CS100: DISCRETE STRUCTURES Lecture 3 Matrices Ch 3 Pages: 246-262 Matrices 2 Introduction DEFINITION 1: A matrix is a rectangular array of numbers. A matrix with m rows and n columns is called an m x n

More information

1 Commutative Rings with Identity

1 Commutative Rings with Identity 1 Commutative Rings with Identity The first-year courses in (Abstract) Algebra concentrated on Groups: algebraic structures where there is basically one algebraic operation multiplication with the associated

More information

We could express the left side as a sum of vectors and obtain the Vector Form of a Linear System: a 12 a x n. a m2

We could express the left side as a sum of vectors and obtain the Vector Form of a Linear System: a 12 a x n. a m2 Week 22 Equations, Matrices and Transformations Coefficient Matrix and Vector Forms of a Linear System Suppose we have a system of m linear equations in n unknowns a 11 x 1 + a 12 x 2 + + a 1n x n b 1

More information

Matrices and Determinants

Matrices and Determinants Chapter1 Matrices and Determinants 11 INTRODUCTION Matrix means an arrangement or array Matrices (plural of matrix) were introduced by Cayley in 1860 A matrix A is rectangular array of m n numbers (or

More information

φ(xy) = (xy) n = x n y n = φ(x)φ(y)

φ(xy) = (xy) n = x n y n = φ(x)φ(y) Groups 1. (Algebra Comp S03) Let A, B and C be normal subgroups of a group G with A B. If A C = B C and AC = BC then prove that A = B. Let b B. Since b = b1 BC = AC, there are a A and c C such that b =

More information

Groups. s t or s t or even st rather than f(s,t).

Groups. s t or s t or even st rather than f(s,t). Groups Definition. A binary operation on a set S is a function which takes a pair of elements s,t S and produces another element f(s,t) S. That is, a binary operation is a function f : S S S. Binary operations

More information

ALGEBRA II: RINGS AND MODULES OVER LITTLE RINGS.

ALGEBRA II: RINGS AND MODULES OVER LITTLE RINGS. ALGEBRA II: RINGS AND MODULES OVER LITTLE RINGS. KEVIN MCGERTY. 1. RINGS The central characters of this course are algebraic objects known as rings. A ring is any mathematical structure where you can add

More information

Linear Algebra March 16, 2019

Linear Algebra March 16, 2019 Linear Algebra March 16, 2019 2 Contents 0.1 Notation................................ 4 1 Systems of linear equations, and matrices 5 1.1 Systems of linear equations..................... 5 1.2 Augmented

More information

Math Introduction to Modern Algebra

Math Introduction to Modern Algebra Math 343 - Introduction to Modern Algebra Notes Field Theory Basics Let R be a ring. M is called a maximal ideal of R if M is a proper ideal of R and there is no proper ideal of R that properly contains

More information

INSTITIÚID TEICNEOLAÍOCHTA CHEATHARLACH INSTITUTE OF TECHNOLOGY CARLOW MATRICES

INSTITIÚID TEICNEOLAÍOCHTA CHEATHARLACH INSTITUTE OF TECHNOLOGY CARLOW MATRICES 1 CHAPTER 4 MATRICES 1 INSTITIÚID TEICNEOLAÍOCHTA CHEATHARLACH INSTITUTE OF TECHNOLOGY CARLOW MATRICES 1 Matrices Matrices are of fundamental importance in 2-dimensional and 3-dimensional graphics programming

More information

Solutions I.N. Herstein- Second Edition

Solutions I.N. Herstein- Second Edition Solutions I.N. Herstein- Second Edition Sadiah Zahoor Please email me if any corrections at sadiahzahoor@cantab.net. R is a ring in all problems. Problem 0.1. If a, b, c, d R, evaluate (a + b)(c + d).

More information

NOTES ON FINITE FIELDS

NOTES ON FINITE FIELDS NOTES ON FINITE FIELDS AARON LANDESMAN CONTENTS 1. Introduction to finite fields 2 2. Definition and constructions of fields 3 2.1. The definition of a field 3 2.2. Constructing field extensions by adjoining

More information

Abstract Algebra I. Randall R. Holmes Auburn University. Copyright c 2012 by Randall R. Holmes Last revision: November 11, 2016

Abstract Algebra I. Randall R. Holmes Auburn University. Copyright c 2012 by Randall R. Holmes Last revision: November 11, 2016 Abstract Algebra I Randall R. Holmes Auburn University Copyright c 2012 by Randall R. Holmes Last revision: November 11, 2016 This work is licensed under the Creative Commons Attribution- NonCommercial-NoDerivatives

More information

MTH5112 Linear Algebra I MTH5212 Applied Linear Algebra (2017/2018)

MTH5112 Linear Algebra I MTH5212 Applied Linear Algebra (2017/2018) MTH5112 Linear Algebra I MTH5212 Applied Linear Algebra (2017/2018) COURSEWORK 3 SOLUTIONS Exercise ( ) 1. (a) Write A = (a ij ) n n and B = (b ij ) n n. Since A and B are diagonal, we have a ij = 0 and

More information

Equality: Two matrices A and B are equal, i.e., A = B if A and B have the same order and the entries of A and B are the same.

Equality: Two matrices A and B are equal, i.e., A = B if A and B have the same order and the entries of A and B are the same. Introduction Matrix Operations Matrix: An m n matrix A is an m-by-n array of scalars from a field (for example real numbers) of the form a a a n a a a n A a m a m a mn The order (or size) of A is m n (read

More information

GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory.

GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory. GRE Subject test preparation Spring 2016 Topic: Abstract Algebra, Linear Algebra, Number Theory. Linear Algebra Standard matrix manipulation to compute the kernel, intersection of subspaces, column spaces,

More information

QUALIFYING EXAM IN ALGEBRA August 2011

QUALIFYING EXAM IN ALGEBRA August 2011 QUALIFYING EXAM IN ALGEBRA August 2011 1. There are 18 problems on the exam. Work and turn in 10 problems, in the following categories. I. Linear Algebra 1 problem II. Group Theory 3 problems III. Ring

More information

Problems in Linear Algebra and Representation Theory

Problems in Linear Algebra and Representation Theory Problems in Linear Algebra and Representation Theory (Most of these were provided by Victor Ginzburg) The problems appearing below have varying level of difficulty. They are not listed in any specific

More information

Math 370 Spring 2016 Sample Midterm with Solutions

Math 370 Spring 2016 Sample Midterm with Solutions Math 370 Spring 2016 Sample Midterm with Solutions Contents 1 Problems 2 2 Solutions 5 1 1 Problems (1) Let A be a 3 3 matrix whose entries are real numbers such that A 2 = 0. Show that I 3 + A is invertible.

More information

Answers and Solutions to Selected Homework Problems From Section 2.5 S. F. Ellermeyer. and B =. 0 2

Answers and Solutions to Selected Homework Problems From Section 2.5 S. F. Ellermeyer. and B =. 0 2 Answers and Solutions to Selected Homework Problems From Section 2.5 S. F. Ellermeyer 5. Since gcd (2; 4) 6, then 2 is a zero divisor (and not a unit) in Z 4. In fact, we see that 2 2 0 in Z 4. Thus 2x

More information

Lecture 3 Linear Algebra Background

Lecture 3 Linear Algebra Background Lecture 3 Linear Algebra Background Dan Sheldon September 17, 2012 Motivation Preview of next class: y (1) w 0 + w 1 x (1) 1 + w 2 x (1) 2 +... + w d x (1) d y (2) w 0 + w 1 x (2) 1 + w 2 x (2) 2 +...

More information