PROBLEMS ON ABSTRACT ALGEBRA

Size: px
Start display at page:

Download "PROBLEMS ON ABSTRACT ALGEBRA"

Transcription

1 PROBLEMS ON ABSTRACT ALGEBRA 1 (Putam 197 A). Let S be a set ad let be a biary operatio o S satisfyig the laws x (x y) = y for all x, y i S, (y x) x = y for all x, y i S. Show that is commutative but ot ecessarily associative. (Putam 197 B3). Let A ad B be two elemets i a group such that ABA = BA B, A 3 = 1 ad B 1 = 1 for some positive iteger. Prove B = 1. 3 (Putam 007 A5). Suppose that a fiite group has exactly elemets of order p, where p is a prime. Prove that either = 0 or p divides (Putam 011 A6). Let G be a abelia group with elemets, ad let {g 1 = e, g,..., g k } G be a (ot ecessarily miimal) set of distict geerators of G. A special die, which radomly selects oe of the elemets g 1, g,..., g k with equal probability, is rolled m times ad the selected elemets are multiplied to produce a elemet g G. Prove that there exists a real umber b (0, 1) such that 1 1 lim Prob(g = x) m b m is positive ad fiite. x G 5 (Putam 1990 B4). Let G be a fiite group of order geerated by a ad b. Prove or disprove: there is a sequece g 1, g, g 3,..., g such that (a) every elemet of G occurs exactly twice, ad (b) g i+1 equals g i a or g i b for i = 1,,...,. (Iterpret g +1 as g 1.) 6 (Putam 016 A5). Suppose that G is a fiite group geerated by the two elemets g ad h, where the order of g is odd. Show that every elemet of G ca be writte i the form m 1 h 1 m h m g g g r h r with 1 r G ad m, 1, m,,..., m r, r {1, 1}. (Here G is the umber of elemets of G.) 7 (Putam 1977 B6). Let H be a subgroup with h elemets i a group G. Suppose that G has a elemet a such that for all x i H, (xa) 3 = 1, the idetity. I G, let P be the subset of all products x 1 ax a x a, with a positive iteger ad the x i s i H. (a) Show that P is a fiite set. (b) Show that, i fact, P has o more tha 3h elemets. 8 (Putam 1984 B3). Prove or disprove the followig statemet: If F is a fiite set with two or more elemets, the there exists a biary operatio o F such that for all x, y, z i F, 1

2 (i) x z = y z implies x = y (right cacellatio holds), ad (ii) x (y z) = (x y) z (o case of associativity holds). 9 (Putam 1987 B6). Let F be the field of p elemets where p is a odd prime. Suppose S is a set of (p 1)/ distict ozero elemets of F with the property that for each a = 0 i F, exactly oe of a ad a is i S. Let N be the umber of elemets i the itersectio S {a : a S}. Prove that N is eve. 10 (Putam 1989 B). Let S be a oempty set with a associative operatio that is left ad right cacellative (xy = xz implies y = z, ad yx = zx implies y = z). Assume that for every a i S the set {a : = 1,, 3,... } is fiite. Must S be a group? 11 (Putam 199 B6). Let M be a set of real matrices such that (i) I M, where I is the idetity matrix; (ii) if A M ad B M, the either AB M or AB M, but ot both; (iii) if A M ad B M, the either AB = BA or AB = BA; (iv) if A M ad A / I, there is at least oe B M such that AB = BA. Prove that M cotais at most matrices. 1 (Putam 1996 A4). Let S be a set of ordered triples (a, b, c) of distict elemets of a fiite set A. Suppose that (1) (a, b, c) S if ad oly if (b, c, a) S; () (a, b, c) S if ad oly if (c, b, a) / S [for a, b, c distict]; (3) (a, b, c) ad (c, d, a) are both i S if ad oly if (b, c, d) ad (d, a, b) are both i S. Prove that there exists a oe-to-oe fuctio g from A to R such that g(a) < g(b) < g(c) implies (a, b, c) S. 13 (Putam 008 A6). Prove that there exists a costat c > 0 such that i every otrivial fiite group G there exists a sequece of legth at most c l G with the property that each elemet of G equals the product of some subsequece. (The elemets of G i the sequece are ot required to be distict. A subsequece of a sequece is obtaied by selectig some of the terms, ot ecessarily cosecutive, without reorderig them; for example, 4, 4, is a subsequece of, 4, 6, 4,, but,, 4 is ot.) 14 (Putam 009 A5). Is there a fiite abelia group G such that the product of the orders of all its elemets is 009? 15 (Putame 010 A5). Let G be a group, with operatio. Suppose that 1. G is a subset of R 3 (but eed ot be related to additio of vectors);. For each a, b G, either a b = a b or a b = 0 (or both), where is the usual cross product i R 3. Prove that a b = 0 for all a, b G.

3 16. Let R be a ocommutative rig with idetity. Suppose that x, y are elemets of R such that 1 xy ad 1 yx are ivertible. (By the previous problem it suffice to assume that oly 1 xy is ivertible, but this is irrelevat.) Show that (1 + x)(1 yx) 1 (1 + y) = (1 + y)(1 xy) 1 (1 + x). (1) This problem illustrates that ocommutative high school algebra is a lot harder tha ordiary (commutative) high school algebra. Formally we have (1 yx) 1 = 1 + yx + yxyx + yxyxyx + ad similarly for (1 xy) 1. Thus both sides of (1) are formally equal to the sum of all alteratig words (products of x s ad y s with o two x s or y s appearig cosecutively). This makes the idetity (1) plausible, but our formal argumet is ot a proof. 17. Let G be a group of order 4 +, 1. Prove that G is ot a simple group, i.e., G has a proper ormal subgroup. 18. Let R satisfy all the axioms of a rig except commutativity of additio. Show that ax + by = by + ax for all a, b, x, y R. 19. Let G deote the set of all ifiite sequeces (a 1, a,... ) of itegers a i. We ca add elemets of G coordiate-wise, i.e., (a 1, a,... ) + (b 1, b,... ) = (a 1 + b 1, a + b,... ). Let Z deote the set of itegers. Suppose f : Z is a fuctio satisfyig f(x + y) = f(x) + f(y) for all x, y G. Let e i be the elemet of G with a 1 i positio i ad 0 s elsewhere. (a) Suppose that f(e i ) = 0 for all i. Show that f(x) = 0 for all x G. (b) Show that f(e i ) = 0 for all but fiitely may i. 0. Let G be a fiite group, ad set f(g) = #{(u, v) G G : uv = vu}. Fid a formula for f(g) i terms of the order of G ad the umber k(g) of cojugacy classes of G. (Two elemets x, y G are cojugate if y = axa 1 for some a G. Cojugacy is a equivalece relatio whose equivalece classes are called cojugacy classes.) 1 (difficult). Let be a odd positive iteger. Show that the umber of ways to write the idetity permutatio ι of 1,,..., as a product uvw = ι of three -cycles is ( 1)! /( + 1).. Let G be ay fiite group, ad let w G. Fid the umber of pairs (u, v) G G satisfyig w = uvu vuv. 3. Show that the umber of ways to write the cycle (1,,..., ) as a product of 1 traspositios is. For istace, whe = 3 we have (multiplyig permutatios left-to-right) three ways: (1,, 3) = (1, 3)(, 3) = (1, )(1, 3) = (, 3)(1, ). 4 (difficult). Let s i = (i, i + 1) S, i.e., s i is the permutatio of 1,,..., that trasposes i ad i+1 ad fixes all other j. Let f() be the umber of ways to write the permutatio, 1,..., 1 i the form s i1 s i s ip, where p =. For istace, 31 = s 1 s s 1 = s s 1 s, so f(3) =. Moreover, f(4) = 16. Show that f() is the umber of sequeces a 1,..., a p of 1 1 s, s,..., oe 1, such that i ay prefix a 1, a,..., a k, the umber of i + 1 s does ot exceed the umber of i s. For istace, whe = 3 there are the two sequeces 11 ad 11. 3

4 A explicit formula is kow for f(), but this is irrelevat here. 5 (difficult). I the otatio of the previous problem, show that i 1,i,...,i p i 1 i i p = p!, where the sum is over all sequeces i 1,..., i p for which, 1,..., 1 = s i1 s i s ip. For istace, whe = 3 we get = 3!. The oly kow proofs are algebraic. It would be iterestig to give a combiatorial proof. 4

5 MIT OpeCourseWare 18.A34 Mathematical Problem Solvig (Putam Semiar) Fall 018 For iformatio about citig these materials or our Terms of Use, visit:

Modern Algebra. Previous year Questions from 2017 to Ramanasri

Modern Algebra. Previous year Questions from 2017 to Ramanasri Moder Algebra Previous year Questios from 017 to 199 Ramaasri 017 S H O P NO- 4, 1 S T F L O O R, N E A R R A P I D F L O U R M I L L S, O L D R A J E N D E R N A G A R, N E W D E L H I. W E B S I T E

More information

Math 4107: Abstract Algebra I Fall Webwork Assignment1-Groups (5 parts/problems) Solutions are on Webwork.

Math 4107: Abstract Algebra I Fall Webwork Assignment1-Groups (5 parts/problems) Solutions are on Webwork. Math 4107: Abstract Algebra I Fall 2017 Assigmet 1 Solutios 1. Webwork Assigmet1-Groups 5 parts/problems) Solutios are o Webwork. 2. Webwork Assigmet1-Subgroups 5 parts/problems) Solutios are o Webwork.

More information

Lecture 4: Grassmannians, Finite and Affine Morphisms

Lecture 4: Grassmannians, Finite and Affine Morphisms 18.725 Algebraic Geometry I Lecture 4 Lecture 4: Grassmaias, Fiite ad Affie Morphisms Remarks o last time 1. Last time, we proved the Noether ormalizatio lemma: If A is a fiitely geerated k-algebra, the,

More information

CHAPTER I: Vector Spaces

CHAPTER I: Vector Spaces CHAPTER I: Vector Spaces Sectio 1: Itroductio ad Examples This first chapter is largely a review of topics you probably saw i your liear algebra course. So why cover it? (1) Not everyoe remembers everythig

More information

PRELIM PROBLEM SOLUTIONS

PRELIM PROBLEM SOLUTIONS PRELIM PROBLEM SOLUTIONS THE GRAD STUDENTS + KEN Cotets. Complex Aalysis Practice Problems 2. 2. Real Aalysis Practice Problems 2. 4 3. Algebra Practice Problems 2. 8. Complex Aalysis Practice Problems

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

Chapter 0. Review of set theory. 0.1 Sets

Chapter 0. Review of set theory. 0.1 Sets Chapter 0 Review of set theory Set theory plays a cetral role i the theory of probability. Thus, we will ope this course with a quick review of those otios of set theory which will be used repeatedly.

More information

CSE 1400 Applied Discrete Mathematics Number Theory and Proofs

CSE 1400 Applied Discrete Mathematics Number Theory and Proofs CSE 1400 Applied Discrete Mathematics Number Theory ad Proofs Departmet of Computer Scieces College of Egieerig Florida Tech Sprig 01 Problems for Number Theory Backgroud Number theory is the brach of

More information

Math 155 (Lecture 3)

Math 155 (Lecture 3) Math 55 (Lecture 3) September 8, I this lecture, we ll cosider the aswer to oe of the most basic coutig problems i combiatorics Questio How may ways are there to choose a -elemet subset of the set {,,,

More information

Homework 2 January 19, 2006 Math 522. Direction: This homework is due on January 26, In order to receive full credit, answer

Homework 2 January 19, 2006 Math 522. Direction: This homework is due on January 26, In order to receive full credit, answer Homework 2 Jauary 9, 26 Math 522 Directio: This homework is due o Jauary 26, 26. I order to receive full credit, aswer each problem completely ad must show all work.. What is the set of the uits (that

More information

Infinite Series and Improper Integrals

Infinite Series and Improper Integrals 8 Special Fuctios Ifiite Series ad Improper Itegrals Ifiite series are importat i almost all areas of mathematics ad egieerig I additio to umerous other uses, they are used to defie certai fuctios ad to

More information

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function.

It is always the case that unions, intersections, complements, and set differences are preserved by the inverse image of a function. MATH 532 Measurable Fuctios Dr. Neal, WKU Throughout, let ( X, F, µ) be a measure space ad let (!, F, P ) deote the special case of a probability space. We shall ow begi to study real-valued fuctios defied

More information

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS DEMETRES CHRISTOFIDES Abstract. Cosider a ivertible matrix over some field. The Gauss-Jorda elimiatio reduces this matrix to the idetity

More information

Math 5705: Enumerative Combinatorics, Fall 2018: Homework 3

Math 5705: Enumerative Combinatorics, Fall 2018: Homework 3 Uiversity of Miesota, School of Mathematics Math 5705: Eumerative Combiatorics, all 2018: Homewor 3 Darij Griberg October 15, 2018 due date: Wedesday, 10 October 2018 at the begiig of class, or before

More information

Exercises 1 Sets and functions

Exercises 1 Sets and functions Exercises 1 Sets ad fuctios HU Wei September 6, 018 1 Basics Set theory ca be made much more rigorous ad built upo a set of Axioms. But we will cover oly some heuristic ideas. For those iterested studets,

More information

Homework 3. = k 1. Let S be a set of n elements, and let a, b, c be distinct elements of S. The number of k-subsets of S is

Homework 3. = k 1. Let S be a set of n elements, and let a, b, c be distinct elements of S. The number of k-subsets of S is Homewor 3 Chapter 5 pp53: 3 40 45 Chapter 6 p85: 4 6 4 30 Use combiatorial reasoig to prove the idetity 3 3 Proof Let S be a set of elemets ad let a b c be distict elemets of S The umber of -subsets of

More information

Chapter 2. Periodic points of toral. automorphisms. 2.1 General introduction

Chapter 2. Periodic points of toral. automorphisms. 2.1 General introduction Chapter 2 Periodic poits of toral automorphisms 2.1 Geeral itroductio The automorphisms of the two-dimesioal torus are rich mathematical objects possessig iterestig geometric, algebraic, topological ad

More information

Course : Algebraic Combinatorics

Course : Algebraic Combinatorics Course 18.312: Algebraic Combiatorics Lecture Notes # 18-19 Addedum by Gregg Musier March 18th - 20th, 2009 The followig material ca be foud i a umber of sources, icludig Sectios 7.3 7.5, 7.7, 7.10 7.11,

More information

Week 5-6: The Binomial Coefficients

Week 5-6: The Binomial Coefficients Wee 5-6: The Biomial Coefficiets March 6, 2018 1 Pascal Formula Theorem 11 (Pascal s Formula For itegers ad such that 1, ( ( ( 1 1 + 1 The umbers ( 2 ( 1 2 ( 2 are triagle umbers, that is, The petago umbers

More information

In number theory we will generally be working with integers, though occasionally fractions and irrationals will come into play.

In number theory we will generally be working with integers, though occasionally fractions and irrationals will come into play. Number Theory Math 5840 otes. Sectio 1: Axioms. I umber theory we will geerally be workig with itegers, though occasioally fractios ad irratioals will come ito play. Notatio: Z deotes the set of all itegers

More information

Course : Algebraic Combinatorics

Course : Algebraic Combinatorics Course 8.32: Algebraic Combiatorics Lecture Notes # Addedum by Gregg Musier February 4th - 6th, 2009 Recurrece Relatios ad Geeratig Fuctios Give a ifiite sequece of umbers, a geeratig fuctio is a compact

More information

1 lim. f(x) sin(nx)dx = 0. n sin(nx)dx

1 lim. f(x) sin(nx)dx = 0. n sin(nx)dx Problem A. Calculate ta(.) to 4 decimal places. Solutio: The power series for si(x)/ cos(x) is x + x 3 /3 + (2/5)x 5 +. Puttig x =. gives ta(.) =.3. Problem 2A. Let f : R R be a cotiuous fuctio. Show that

More information

i is the prime factorization of n as a product of powers of distinct primes, then: i=1 pm i

i is the prime factorization of n as a product of powers of distinct primes, then: i=1 pm i Lecture 3. Group Actios PCMI Summer 2015 Udergraduate Lectures o Flag Varieties Lecture 3. The category of groups is discussed, ad the importat otio of a group actio is explored. Defiitio 3.1. A group

More information

Basic Sets. Functions. MTH299 - Examples. Example 1. Let S = {1, {2, 3}, 4}. Indicate whether each statement is true or false. (a) S = 4. (e) 2 S.

Basic Sets. Functions. MTH299 - Examples. Example 1. Let S = {1, {2, 3}, 4}. Indicate whether each statement is true or false. (a) S = 4. (e) 2 S. Basic Sets Example 1. Let S = {1, {2, 3}, 4}. Idicate whether each statemet is true or false. (a) S = 4 (b) {1} S (c) {2, 3} S (d) {1, 4} S (e) 2 S. (f) S = {1, 4, {2, 3}} (g) S Example 2. Compute the

More information

REVIEW FOR CHAPTER 1

REVIEW FOR CHAPTER 1 REVIEW FOR CHAPTER 1 A short summary: I this chapter you helped develop some basic coutig priciples. I particular, the uses of ordered pairs (The Product Priciple), fuctios, ad set partitios (The Sum Priciple)

More information

4 The Sperner property.

4 The Sperner property. 4 The Sperer property. I this sectio we cosider a surprisig applicatio of certai adjacecy matrices to some problems i extremal set theory. A importat role will also be played by fiite groups. I geeral,

More information

MATH 6101 Fall Problems. Problems 11/9/2008. Series and a Famous Unsolved Problem (2-1)(2 + 1) ( 4) 12-Nov-2008 MATH

MATH 6101 Fall Problems. Problems 11/9/2008. Series and a Famous Unsolved Problem (2-1)(2 + 1) ( 4) 12-Nov-2008 MATH /9/008 MATH 60 Fall 008 Series ad a Famous Usolved Problem = = + + + + ( - )( + ) 3 3 5 5 7 7 9 -Nov-008 MATH 60 ( 4) = + 5 48 -Nov-008 MATH 60 3 /9/008 ( )! = + -Nov-008 MATH 60 4 3 4 5 + + + + + + +

More information

Algebraic Geometry I

Algebraic Geometry I 6.859/15.083 Iteger Programmig ad Combiatorial Optimizatio Fall 2009 Lecture 14: Algebraic Geometry I Today... 0/1-iteger programmig ad systems of polyomial equatios The divisio algorithm for polyomials

More information

Chapter 2. Finite Fields (Chapter 3 in the text)

Chapter 2. Finite Fields (Chapter 3 in the text) Chater 2. Fiite Fields (Chater 3 i the tet 1. Grou Structures 2. Costructios of Fiite Fields GF(2 ad GF( 3. Basic Theory of Fiite Fields 4. The Miimal Polyomials 5. Trace Fuctios 6. Subfields 1. Grou Structures

More information

Introduction to Optimization Techniques

Introduction to Optimization Techniques Itroductio to Optimizatio Techiques Basic Cocepts of Aalysis - Real Aalysis, Fuctioal Aalysis 1 Basic Cocepts of Aalysis Liear Vector Spaces Defiitio: A vector space X is a set of elemets called vectors

More information

15.083J/6.859J Integer Optimization. Lecture 3: Methods to enhance formulations

15.083J/6.859J Integer Optimization. Lecture 3: Methods to enhance formulations 15.083J/6.859J Iteger Optimizatio Lecture 3: Methods to ehace formulatios 1 Outlie Polyhedral review Slide 1 Methods to geerate valid iequalities Methods to geerate facet defiig iequalities Polyhedral

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3

(A sequence also can be thought of as the list of function values attained for a function f :ℵ X, where f (n) = x n for n 1.) x 1 x N +k x N +4 x 3 MATH 337 Sequeces Dr. Neal, WKU Let X be a metric space with distace fuctio d. We shall defie the geeral cocept of sequece ad limit i a metric space, the apply the results i particular to some special

More information

A Combinatorial Proof of a Theorem of Katsuura

A Combinatorial Proof of a Theorem of Katsuura Mathematical Assoc. of America College Mathematics Joural 45:1 Jue 2, 2014 2:34 p.m. TSWLatexiaTemp 000017.tex A Combiatorial Proof of a Theorem of Katsuura Bria K. Miceli Bria Miceli (bmiceli@triity.edu)

More information

MATH 205 HOMEWORK #2 OFFICIAL SOLUTION. (f + g)(x) = f(x) + g(x) = f( x) g( x) = (f + g)( x)

MATH 205 HOMEWORK #2 OFFICIAL SOLUTION. (f + g)(x) = f(x) + g(x) = f( x) g( x) = (f + g)( x) MATH 205 HOMEWORK #2 OFFICIAL SOLUTION Problem 2: Do problems 7-9 o page 40 of Hoffma & Kuze. (7) We will prove this by cotradictio. Suppose that W 1 is ot cotaied i W 2 ad W 2 is ot cotaied i W 1. The

More information

A NOTE ON WEAKLY VON NEUMANN REGULAR POLYNOMIAL NEAR RINGS

A NOTE ON WEAKLY VON NEUMANN REGULAR POLYNOMIAL NEAR RINGS IJMS, Vol. 11, No. 3-4, (July-December 2012), pp. 373-377 Serials Publicatios ISSN: 0972-754X A NOTE ON WEAKLY VON NEUMANN REGULAR POLYNOMIAL NEAR RINGS P. Jyothi & T. V. Pradeep Kumar Abstract: The mai

More information

Name of the Student:

Name of the Student: SUBJECT NAME : Discrete Mathematics SUBJECT CODE : MA 65 MATERIAL NAME : Problem Material MATERIAL CODE : JM08ADM010 (Sca the above QR code for the direct dowload of this material) Name of the Studet:

More information

Homework 1 Solutions. The exercises are from Foundations of Mathematical Analysis by Richard Johnsonbaugh and W.E. Pfaffenberger.

Homework 1 Solutions. The exercises are from Foundations of Mathematical Analysis by Richard Johnsonbaugh and W.E. Pfaffenberger. Homewor 1 Solutios Math 171, Sprig 2010 Hery Adams The exercises are from Foudatios of Mathematical Aalysis by Richard Johsobaugh ad W.E. Pfaffeberger. 2.2. Let h : X Y, g : Y Z, ad f : Z W. Prove that

More information

lim za n n = z lim a n n.

lim za n n = z lim a n n. Lecture 6 Sequeces ad Series Defiitio 1 By a sequece i a set A, we mea a mappig f : N A. It is customary to deote a sequece f by {s } where, s := f(). A sequece {z } of (complex) umbers is said to be coverget

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

Commutativity in Permutation Groups

Commutativity in Permutation Groups Commutativity i Permutatio Groups Richard Wito, PhD Abstract I the group Sym(S) of permutatios o a oempty set S, fixed poits ad trasiet poits are defied Prelimiary results o fixed ad trasiet poits are

More information

MATH 6101 Fall 2008 Series and a Famous Unsolved Problem

MATH 6101 Fall 2008 Series and a Famous Unsolved Problem MATH 60 Fall 2008 Series ad a Famous Usolved Problem Problems = + + + + = (2- )(2+ ) 3 3 5 5 7 7 9 2-Nov-2008 MATH 60 2 Problems ( 4) = + 25 48 2-Nov-2008 MATH 60 3 Problems ( )! = + 2-Nov-2008 MATH 60

More information

Objective Mathematics

Objective Mathematics . If sum of '' terms of a sequece is give by S Tr ( )( ), the 4 5 67 r (d) 4 9 r is equal to : T. Let a, b, c be distict o-zero real umbers such that a, b, c are i harmoic progressio ad a, b, c are i arithmetic

More information

Mathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1

Mathematical Description of Discrete-Time Signals. 9/10/16 M. J. Roberts - All Rights Reserved 1 Mathematical Descriptio of Discrete-Time Sigals 9/10/16 M. J. Roberts - All Rights Reserved 1 Samplig ad Discrete Time Samplig is the acquisitio of the values of a cotiuous-time sigal at discrete poits

More information

TEACHER CERTIFICATION STUDY GUIDE

TEACHER CERTIFICATION STUDY GUIDE COMPETENCY 1. ALGEBRA SKILL 1.1 1.1a. ALGEBRAIC STRUCTURES Kow why the real ad complex umbers are each a field, ad that particular rigs are ot fields (e.g., itegers, polyomial rigs, matrix rigs) Algebra

More information

Lemma Let f(x) K[x] be a separable polynomial of degree n. Then the Galois group is a subgroup of S n, the permutations of the roots.

Lemma Let f(x) K[x] be a separable polynomial of degree n. Then the Galois group is a subgroup of S n, the permutations of the roots. 15 Cubics, Quartics ad Polygos It is iterestig to chase through the argumets of 14 ad see how this affects solvig polyomial equatios i specific examples We make a global assumptio that the characteristic

More information

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B)

Real Numbers R ) - LUB(B) may or may not belong to B. (Ex; B= { y: y = 1 x, - Note that A B LUB( A) LUB( B) Real Numbers The least upper boud - Let B be ay subset of R B is bouded above if there is a k R such that x k for all x B - A real umber, k R is a uique least upper boud of B, ie k = LUB(B), if () k is

More information

Solutions to Math 347 Practice Problems for the final

Solutions to Math 347 Practice Problems for the final Solutios to Math 347 Practice Problems for the fial 1) True or False: a) There exist itegers x,y such that 50x + 76y = 6. True: the gcd of 50 ad 76 is, ad 6 is a multiple of. b) The ifiimum of a set is

More information

R is a scalar defined as follows:

R is a scalar defined as follows: Math 8. Notes o Dot Product, Cross Product, Plaes, Area, ad Volumes This lecture focuses primarily o the dot product ad its may applicatios, especially i the measuremet of agles ad scalar projectio ad

More information

Regn. No. North Delhi : 33-35, Mall Road, G.T.B. Nagar (Opp. Metro Gate No. 3), Delhi-09, Ph: ,

Regn. No. North Delhi : 33-35, Mall Road, G.T.B. Nagar (Opp. Metro Gate No. 3), Delhi-09, Ph: , . Sectio-A cotais 30 Multiple Choice Questios (MCQ). Each questio has 4 choices (a), (b), (c) ad (d), for its aswer, out of which ONLY ONE is correct. From Q. to Q.0 carries Marks ad Q. to Q.30 carries

More information

Tutorial F n F n 1

Tutorial F n F n 1 (CS 207) Discrete Structures July 30, 203 Tutorial. Prove the followig properties of Fiboacci umbers usig iductio, where Fiboacci umbers are defied as follows: F 0 =0,F =adf = F + F 2. (a) Prove that P

More information

Relations Among Algebras

Relations Among Algebras Itroductio to leee Algebra Lecture 6 CS786 Sprig 2004 February 9, 2004 Relatios Amog Algebras The otio of free algebra described i the previous lecture is a example of a more geeral pheomeo called adjuctio.

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

Lecture Notes for CS 313H, Fall 2011

Lecture Notes for CS 313H, Fall 2011 Lecture Notes for CS 313H, Fall 011 August 5. We start by examiig triagular umbers: T () = 1 + + + ( = 0, 1,,...). Triagular umbers ca be also defied recursively: T (0) = 0, T ( + 1) = T () + + 1, or usig

More information

Progressions. ILLUSTRATION 1 11, 7, 3, -1, i s an A.P. whose first term is 11 and the common difference 7-11=-4.

Progressions. ILLUSTRATION 1 11, 7, 3, -1, i s an A.P. whose first term is 11 and the common difference 7-11=-4. Progressios SEQUENCE A sequece is a fuctio whose domai is the set N of atural umbers. REAL SEQUENCE A Sequece whose rage is a subset of R is called a real sequece. I other words, a real sequece is a fuctio

More information

(I.C) THE DISTRIBUTION OF PRIMES

(I.C) THE DISTRIBUTION OF PRIMES I.C) THE DISTRIBUTION OF PRIMES I the last sectio we showed via a Euclid-ispired, algebraic argumet that there are ifiitely may primes of the form p = 4 i.e. 4 + 3). I fact, this is true for primes of

More information

GROUPS AND APPLICATIONS

GROUPS AND APPLICATIONS MATHEMATICS: CONCEPTS, AND FOUNDATIONS Vol. I - Groups ad Applicatios - Tadao ODA GROUPS AND APPLICATIONS Tadao ODA Tohoku Uiversity, Japa Keywords: group, homomorphism, quotiet group, group actio, trasformatio,

More information

THE KENNESAW STATE UNIVERSITY HIGH SCHOOL MATHEMATICS COMPETITION PART II Calculators are NOT permitted Time allowed: 2 hours

THE KENNESAW STATE UNIVERSITY HIGH SCHOOL MATHEMATICS COMPETITION PART II Calculators are NOT permitted Time allowed: 2 hours THE 06-07 KENNESAW STATE UNIVERSITY HIGH SCHOOL MATHEMATICS COMPETITION PART II Calculators are NOT permitted Time allowed: hours Let x, y, ad A all be positive itegers with x y a) Prove that there are

More information

Unit 6: Sequences and Series

Unit 6: Sequences and Series AMHS Hoors Algebra 2 - Uit 6 Uit 6: Sequeces ad Series 26 Sequeces Defiitio: A sequece is a ordered list of umbers ad is formally defied as a fuctio whose domai is the set of positive itegers. It is commo

More information

Different kinds of Mathematical Induction

Different kinds of Mathematical Induction Differet ids of Mathematical Iductio () Mathematical Iductio Give A N, [ A (a A a A)] A N () (First) Priciple of Mathematical Iductio Let P() be a propositio (ope setece), if we put A { : N p() is true}

More information

5. Matrix exponentials and Von Neumann s theorem The matrix exponential. For an n n matrix X we define

5. Matrix exponentials and Von Neumann s theorem The matrix exponential. For an n n matrix X we define 5. Matrix expoetials ad Vo Neuma s theorem 5.1. The matrix expoetial. For a matrix X we defie e X = exp X = I + X + X2 2! +... = 0 X!. We assume that the etries are complex so that exp is well defied o

More information

Sequences, Sums, and Products

Sequences, Sums, and Products CSCE 222 Discrete Structures for Computig Sequeces, Sums, ad Products Dr. Philip C. Ritchey Sequeces A sequece is a fuctio from a subset of the itegers to a set S. A discrete structure used to represet

More information

AH Checklist (Unit 3) AH Checklist (Unit 3) Matrices

AH Checklist (Unit 3) AH Checklist (Unit 3) Matrices AH Checklist (Uit 3) AH Checklist (Uit 3) Matrices Skill Achieved? Kow that a matrix is a rectagular array of umbers (aka etries or elemets) i paretheses, each etry beig i a particular row ad colum Kow

More information

1 Generating functions for balls in boxes

1 Generating functions for balls in boxes Math 566 Fall 05 Some otes o geeratig fuctios Give a sequece a 0, a, a,..., a,..., a geeratig fuctio some way of represetig the sequece as a fuctio. There are may ways to do this, with the most commo ways

More information

Lecture 10: Mathematical Preliminaries

Lecture 10: Mathematical Preliminaries Lecture : Mathematical Prelimiaries Obective: Reviewig mathematical cocepts ad tools that are frequetly used i the aalysis of algorithms. Lecture # Slide # I this

More information

Discrete Math Class 5 ( )

Discrete Math Class 5 ( ) Discrete Math 37110 - Class 5 (2016-10-11 Istructor: László Babai Notes tae by Jacob Burroughs Revised by istructor 5.1 Fermat s little Theorem Theorem 5.1 (Fermat s little Theorem. If p is prime ad gcd(a,

More information

Generating Functions. 1 Operations on generating functions

Generating Functions. 1 Operations on generating functions Geeratig Fuctios The geeratig fuctio for a sequece a 0, a,..., a,... is defied to be the power series fx a x. 0 We say that a 0, a,... is the sequece geerated by fx ad a is the coefficiet of x. Example

More information

Binary codes from graphs on triples and permutation decoding

Binary codes from graphs on triples and permutation decoding Biary codes from graphs o triples ad permutatio decodig J. D. Key Departmet of Mathematical Scieces Clemso Uiversity Clemso SC 29634 U.S.A. J. Moori ad B. G. Rodrigues School of Mathematics Statistics

More information

Matrix Algebra 2.2 THE INVERSE OF A MATRIX Pearson Education, Inc.

Matrix Algebra 2.2 THE INVERSE OF A MATRIX Pearson Education, Inc. 2 Matrix Algebra 2.2 THE INVERSE OF A MATRIX MATRIX OPERATIONS A matrix A is said to be ivertible if there is a matrix C such that CA = I ad AC = I where, the idetity matrix. I = I I this case, C is a

More information

Section 5.1 The Basics of Counting

Section 5.1 The Basics of Counting 1 Sectio 5.1 The Basics of Coutig Combiatorics, the study of arragemets of objects, is a importat part of discrete mathematics. I this chapter, we will lear basic techiques of coutig which has a lot of

More information

Lecture 23 Rearrangement Inequality

Lecture 23 Rearrangement Inequality Lecture 23 Rearragemet Iequality Holde Lee 6/4/ The Iequalities We start with a example Suppose there are four boxes cotaiig $0, $20, $50 ad $00 bills, respectively You may take 2 bills from oe box, 3

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.436J/15.085J Fall 2008 Lecture 19 11/17/2008 LAWS OF LARGE NUMBERS II THE STRONG LAW OF LARGE NUMBERS MASSACHUSTTS INSTITUT OF TCHNOLOGY 6.436J/5.085J Fall 2008 Lecture 9 /7/2008 LAWS OF LARG NUMBRS II Cotets. The strog law of large umbers 2. The Cheroff boud TH STRONG LAW OF LARG NUMBRS While the weak

More information

Zeros of Polynomials

Zeros of Polynomials Math 160 www.timetodare.com 4.5 4.6 Zeros of Polyomials I these sectios we will study polyomials algebraically. Most of our work will be cocered with fidig the solutios of polyomial equatios of ay degree

More information

FINITE MULTIPLICATIVE SUBGROUPS IN DIVISION RINGS

FINITE MULTIPLICATIVE SUBGROUPS IN DIVISION RINGS FINITE MULTIPLICATIVE SUBGROUPS IN DIVISION RINGS I. N. HERSTEIN 1. Itroductio. If G is a fiite subgroup of the multiplicative group of ozero elemets of a commutative field, the it is kow that G must be

More information

On the distribution of coefficients of powers of positive polynomials

On the distribution of coefficients of powers of positive polynomials AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 49 (2011), Pages 239 243 O the distributio of coefficiets of powers of positive polyomials László Major Istitute of Mathematics Tampere Uiversity of Techology

More information

NAME: ALGEBRA 350 BLOCK 7. Simplifying Radicals Packet PART 1: ROOTS

NAME: ALGEBRA 350 BLOCK 7. Simplifying Radicals Packet PART 1: ROOTS NAME: ALGEBRA 50 BLOCK 7 DATE: Simplifyig Radicals Packet PART 1: ROOTS READ: A square root of a umber b is a solutio of the equatio x = b. Every positive umber b has two square roots, deoted b ad b or

More information

Regular Elements and BQ-Elements of the Semigroup (Z n, )

Regular Elements and BQ-Elements of the Semigroup (Z n, ) Iteratioal Mathematical Forum, 5, 010, o. 51, 533-539 Regular Elemets ad BQ-Elemets of the Semigroup (Z, Ng. Dapattaamogko ad Y. Kemprasit Departmet of Mathematics, Faculty of Sciece Chulalogkor Uiversity,

More information

Alternating Series. 1 n 0 2 n n THEOREM 9.14 Alternating Series Test Let a n > 0. The alternating series. 1 n a n.

Alternating Series. 1 n 0 2 n n THEOREM 9.14 Alternating Series Test Let a n > 0. The alternating series. 1 n a n. 0_0905.qxd //0 :7 PM Page SECTION 9.5 Alteratig Series Sectio 9.5 Alteratig Series Use the Alteratig Series Test to determie whether a ifiite series coverges. Use the Alteratig Series Remaider to approximate

More information

INEQUALITIES BJORN POONEN

INEQUALITIES BJORN POONEN INEQUALITIES BJORN POONEN 1 The AM-GM iequality The most basic arithmetic mea-geometric mea (AM-GM) iequality states simply that if x ad y are oegative real umbers, the (x + y)/2 xy, with equality if ad

More information

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx) Cosider the differetial equatio y '' k y 0 has particular solutios y1 si( kx) ad y cos( kx) I geeral, ay liear combiatio of y1 ad y, cy 1 1 cy where c1, c is also a solutio to the equatio above The reaso

More information

A brief introduction to linear algebra

A brief introduction to linear algebra CHAPTER 6 A brief itroductio to liear algebra 1. Vector spaces ad liear maps I what follows, fix K 2{Q, R, C}. More geerally, K ca be ay field. 1.1. Vector spaces. Motivated by our ituitio of addig ad

More information

Name of the Student:

Name of the Student: SUBJECT NAME : Discrete Mathematics SUBJECT CODE : MA 65 MATERIAL NAME : Part A questios MATERIAL CODE : JM08AM1013 REGULATION : R008 UPDATED ON : May-Jue 016 (Sca the above Q.R code for the direct dowload

More information

MAS111 Convergence and Continuity

MAS111 Convergence and Continuity MAS Covergece ad Cotiuity Key Objectives At the ed of the course, studets should kow the followig topics ad be able to apply the basic priciples ad theorems therei to solvig various problems cocerig covergece

More information

Injections, Surjections, and the Pigeonhole Principle

Injections, Surjections, and the Pigeonhole Principle Ijectios, Surjectios, ad the Pigeohole Priciple 1 (10 poits Here we will come up with a sloppy boud o the umber of parethesisestigs (a (5 poits Describe a ijectio from the set of possible ways to est pairs

More information

SEQUENCES AND SERIES

SEQUENCES AND SERIES 9 SEQUENCES AND SERIES INTRODUCTION Sequeces have may importat applicatios i several spheres of huma activities Whe a collectio of objects is arraged i a defiite order such that it has a idetified first

More information

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4.

11. FINITE FIELDS. Example 1: The following tables define addition and multiplication for a field of order 4. 11. FINITE FIELDS 11.1. A Field With 4 Elemets Probably the oly fiite fields which you ll kow about at this stage are the fields of itegers modulo a prime p, deoted by Z p. But there are others. Now although

More information

LinearAlgebra DMTH502

LinearAlgebra DMTH502 LiearAlgebra DMTH50 LINEAR ALGEBRA Copyright 0 J D Aad All rights reserved Produced & Prited by EXCEL BOOKS PRIVATE LIMITED A-45, Naraia, Phase-I, New Delhi-008 for Lovely Professioal Uiversity Phagwara

More information

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

APPENDIX F Complex Numbers

APPENDIX F Complex Numbers APPENDIX F Complex Numbers Operatios with Complex Numbers Complex Solutios of Quadratic Equatios Polar Form of a Complex Number Powers ad Roots of Complex Numbers Operatios with Complex Numbers Some equatios

More information

The Boolean Ring of Intervals

The Boolean Ring of Intervals MATH 532 Lebesgue Measure Dr. Neal, WKU We ow shall apply the results obtaied about outer measure to the legth measure o the real lie. Throughout, our space X will be the set of real umbers R. Whe ecessary,

More information

September 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1

September 2012 C1 Note. C1 Notes (Edexcel) Copyright   - For AS, A2 notes and IGCSE / GCSE worksheets 1 September 0 s (Edecel) Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright www.pgmaths.co.uk - For AS, A otes ad IGCSE / GCSE worksheets September 0 Copyright

More information

Inverse Matrix. A meaning that matrix B is an inverse of matrix A.

Inverse Matrix. A meaning that matrix B is an inverse of matrix A. Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix

More information

18.S34 (FALL, 2007) GREATEST INTEGER PROBLEMS. n + n + 1 = 4n + 2.

18.S34 (FALL, 2007) GREATEST INTEGER PROBLEMS. n + n + 1 = 4n + 2. 18.S34 (FALL, 007) GREATEST INTEGER PROBLEMS Note: We use the otatio x for the greatest iteger x, eve if the origial source used the older otatio [x]. 1. (48P) If is a positive iteger, prove that + + 1

More information

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n Review of Power Series, Power Series Solutios A power series i x - a is a ifiite series of the form c (x a) =c +c (x a)+(x a) +... We also call this a power series cetered at a. Ex. (x+) is cetered at

More information

FUNDAMENTALS OF REAL ANALYSIS by

FUNDAMENTALS OF REAL ANALYSIS by FUNDAMENTALS OF REAL ANALYSIS by Doğa Çömez Backgroud: All of Math 450/1 material. Namely: basic set theory, relatios ad PMI, structure of N, Z, Q ad R, basic properties of (cotiuous ad differetiable)

More information

CALCULATION OF FIBONACCI VECTORS

CALCULATION OF FIBONACCI VECTORS CALCULATION OF FIBONACCI VECTORS Stuart D. Aderso Departmet of Physics, Ithaca College 953 Daby Road, Ithaca NY 14850, USA email: saderso@ithaca.edu ad Dai Novak Departmet of Mathematics, Ithaca College

More information

1 Lecture 2: Sequence, Series and power series (8/14/2012)

1 Lecture 2: Sequence, Series and power series (8/14/2012) Summer Jump-Start Program for Aalysis, 202 Sog-Yig Li Lecture 2: Sequece, Series ad power series (8/4/202). More o sequeces Example.. Let {x } ad {y } be two bouded sequeces. Show lim sup (x + y ) lim

More information

1 Introduction. 1.1 Notation and Terminology

1 Introduction. 1.1 Notation and Terminology 1 Itroductio You have already leared some cocepts of calculus such as limit of a sequece, limit, cotiuity, derivative, ad itegral of a fuctio etc. Real Aalysis studies them more rigorously usig a laguage

More information

Chapter 7 COMBINATIONS AND PERMUTATIONS. where we have the specific formula for the binomial coefficients:

Chapter 7 COMBINATIONS AND PERMUTATIONS. where we have the specific formula for the binomial coefficients: Chapter 7 COMBINATIONS AND PERMUTATIONS We have see i the previous chapter that (a + b) ca be writte as 0 a % a & b%þ% a & b %þ% b where we have the specific formula for the biomial coefficiets: '!!(&)!

More information