You don't have to be a mathematician to have a feel for numbers. John Forbes Nash, Jr.

Size: px
Start display at page:

Download "You don't have to be a mathematician to have a feel for numbers. John Forbes Nash, Jr."

Transcription

1 Course Title: Real Analsis Course Code: MTH3 Course instructor: Dr. Atiq ur Rehman Class: MSc-II Course URL: You don't have to be a mathematician to have a feel for numbers. John Forbes Nash, Jr. To understand this chapter, one must deepl know about the different tpe of numbers sstems; especiall Rational numbers Irrational numbers Also one must know about rigorousl ( ). In mathematics, a real number is a value that represents a quantit along a continuous line. The real numbers include all the rational numbers, such as the integer 5 and the fraction 4/3, and all the irrational numbers such as (.44356, the square root of two, an irrational algebraic number) and π ( , a transcendental number). Real numbers can be thought of as points on an infinitel long line called the number line or real line, where the points corresponding to integers are equall spaced. An real number can be determined b a possibl infinite decimal representation such as that of 8.63, where each consecutive digit is measured in units one tenth the size of the previous one. The real number sstem can be describe as a complete ordered field. Therefore let s discusses and understand these notions first. Order Let S be a non-empt set. An order on a set S is a relation denoted b with the following two properties (i) If, S, then one and onl one of the statement,, is true. Available online at

2 Chap - (ii) If,, z S and if, z then z. Ordered Set A set is said to be ordered set if an order is defined on S. Eamples The set,4,6,7,8,9, and are eamples of ordered set with standard order relation. The set a, b, c, d and,,, are eamples of set with no order. Also set of comple numbers have no order. Bound Upper Bound Let S be an ordered set and E S. If there eists a S such that E, then we sa that E is bounded above. And is known as upper bound of E. Lower Bound Let S be an ordered set and E S. If there eists a S such that E, then we sa that E is bounded below. And is known as lower bound of E. Eample Consider S,,3,...,5 and 5,,5, Set of all lower bound of E,,3,4,5. Set of all upper bound of E,,,...,5. E. Least Upper Bound (Supremum) Suppose S is an ordered set, E S and E is bounded above. Suppose there eists an S such that (i) is an upper bound of E. (ii) If, then is not an upper bound of E. Then is called least upper bound of E or supremum of E and written as sup E In other words is the least member of the set of upper bound of E. Eample,,3,...,5 E 5,,5,. Consider S and (i) It is clear that is upper bound of E. (ii) If then clearl is not an upper bound of E. Hence sup E..

3 Chap - 3 Greatest Lower Bound (Infimum) Suppose S is an ordered set, E S and E is bounded below. Suppose there eists a S such that (i) is a lower bound of E. (ii) If, then is not a lower bound of E. Then is called greatest lower bound of E or infimum of E and written as inf E. In other words is the greatest member of the set of lower bound of E. Eample Consider S,,3,...,5 and 5,,5, E. (i) It is clear that 5 is lower bound of E. (ii) If 5, then clearl is not lower bound of E. Hence inf E 5. Eample If is supremum of E then ma or ma not belong to E. Let E r : r r and E r : r r. Then sup Einf E but E and E. Eample Let E be the set of all numbers of the form, where n is the natural n numbers, that is, E,,, 3 4,. Then sup E which is in E, but inf E which is not in E. Eample Consider the sets where A p p p : and B p p p :, is set of rational numbers. Then the set A is bounded above. The upper bound of A are the eactl the members of B. Since B contain no smallest member therefore A has no supremum in. Similarl B is bounded below. The set of all lower bounds of B consists of A and r with r. Since A has no largest member therefore B has no infimum in.

4 Chap - 4 Least Upper Bound Propert A set S is said to have the least upper bound propert if the followings is true (i) S is non-empt and ordered. (ii) If E S and E is non-empt and bounded above then supe eists in S. Greatest lower bound propert can be defined in a similar manner. Eample Let S be set of rational numbers and E p p p : then E, E is non-empt and also bounded above but supremum of E is not in S, this implies that the set of rational number does not posses the least upper bound propert. Theorem Suppose S is an ordered set with least upper bound propert. B S, B is nonempt and is bounded below. Let L be set of all lower bound of B then sup L eists in S and also inf B. In particular infimum of B eists in S. OR An ordered set which has the least upper bound propert has also the greatest lower bound propert. Since B is bounded below therefore L is non-empt. Since L consists of eactl those S which satisf the inequalit. B We see that ever B is an upper bound of L. L is bounded above. Since S is ordered and non-empt therefore L has a supremum in S. Let us call it. If, then is not upper bound of L. B, B L. Now if then L because sup L. We have shown that L but L if. In other words, if, then is a lower bound of B, but is not, this means that inf B.

5 Chap - 5 Field A set F with two operations called addition and multiplication satisfing the following aioms is known to be field. Aioms for Addition: (i) If, F then F. Closure Law (ii),, F. Commutative Law (iii) ( z) ( ) z,, z F. Associative Law (iv) For an F, F such that Additive Identit (v) For an F, F such that ( ) ( ) +tive Inverse Aioms for Multiplication: (i) If, F then F. Closure Law (ii),, F Commutative Law (iii) ( z) ( ) z,, z F (iv) For an F, F such that Multiplicative Identit (v) For an F,, Distributive Law For an,, z F, such that F, (i) ( z) z (ii) ( ) z z z Ordered Field An ordered field is a field F which is also an ordered set such that i) z if,, z F and z. ii) if, F, and. e.g the set of rational number is an ordered field. tive Inverse. Eistance of Real Field There eists an ordered field (set of real) which has the least upper bound propert and it contain (set of rationales) as a subfield. There are man other was to construct a set of real numbers. We are not interested to do so therefore we leave it on the reader if the are interested then following page is useful:

6 Chap - 6 Theorem Let,, z. Then aioms for addition impl the following. (a) If z then z (b) If then (c) If then. (d) ( ) (Note: We have given the proofs here just to show that the things which looks simple must have valid analtical proofs under some consistence theor of mathematics) (a) Suppose z. Since z (b) Take z in (a) ( ) ( ) b Associative law ( z) b supposition ( ) z b Associative law () z (c) Take z in (a) ( ) (d) Since ( ) then (c) gives ( ) Theorem Let,, z. Then aioms of multiplication impl the following. (a) If and z then z. (b) If and then. (c) If and then (d) If, then..

7 Chap - 7 (Note: We have given the proofs here just to show that the things which looks simple must have valid analtical proofs under some consistence theor of mathematics) (a) Suppose z Since b associative law z z z b associative law z z (b) Take z in (a) (c) Take z in (a) i.e. (d) Since then (c) give Theorem Let,, z. Then field aioms impl the following. (i) (ii) if, then. (iii) ( ) ( ) ( ) (iv) ( )( )

8 Chap - 8 (i) Since ( ) (ii) Suppose, but Since () from (i) a contradiction, thus (ii) is true. (iii) Since ( ) ( ).. () Also ( ) ( ) () Also ( ). (3) Combining () and () ( ) ( ) ( ) ( ) (4) Combining () and (3) ( ) ( ) ( ). (5) From (4) and (5) ( ) ( ) (iv) ( )( ) ( ) using (iii) Theorem Let,, z. Then the following statements are true in ever ordered field. i) If then and vice versa. ii) If and z then z. iii) If and z then z. iv) If then v) If then in particular..

9 Chap - 9 i) If then so that. If then so that. ii) Since z we have z which means that z also ( z ) z z z z iii) Since z z z Also Therefore ( z ) z z z z z iv) If then If then ( )( ) i.e. if then, since ( ) then. v) If and v then v, But Likewise as If we multipl both sides of the inequalit we obtain i.e. finall. b the positive quantit

10 Chap - Theorem (Archimedean Propert) If, and then there eists a positive integer n such that n. Let A n : n, Suppose the given statement is false i.e. n. is an upper bound of A. Since we are dealing with a set of real therefore it has the least upper bound propert. Let sup A is not an upper bound of A. m where m A for some positive integer m. ( m ) where m + is integer, therefore ( m ) A. This is impossible because is least upper bound of A i.e. sup A. Hence we conclude that the given statement is true i.e. n. The Densit Theorem If, and then there eists p such that p. i.e. between an two real numbers there is a rational number or is dense in. Since, therefore there eists a positive integer n such that n( ) (b Archimedean Propert) n n (i) We appl (a) part of the theorem again to obtain two +ive integers m and m such that m n and m n m n m, then there eists and integers m( m m m) such that m n m n m and m n n m n n m n from (i) m n

11 Chap - p where m p is a rational. n Theorem Given two real numbers and, there is an irrational number u such that u. Take, Then a rational number q such that q where is an irrational. q where u u, q is an irrational as product of rational and irrational is irrational. Theorem For ever real number there is a set E of rational number such that Take E { q : q } where is a real. sup E. Then E is bounded above. Since E therefore supremum of E eists in. Suppose sup E. It is clear that. If then there is nothing to prove. If then q such that q, which can not happened hence we conclude that real is supe. Question Let E be a non-empt subset of an ordered set, suppose is a lower bound of E and is an upper bound then prove that. Since E is a subset of an ordered set S i.e. E S. Also is a lower bound of E therefore b definition of lower bound E (i) Since is an upper bound of E therefore b the definition of upper bound E (ii) Combining (i) and (ii) as required.

12 Chap - The Etended Real Numbers The etended real number sstem consists of real field and, We preserve the original order in. and define and two smbols The etended real number sstem does not form a field. Mostl we write. We make following conventions: i) If is real the,,. ii) If then ( ), ( ). iii) If then ( ), ( ). Euclidean Space For each positive integer k, let k be the set of all ordered k-tuples (,,..., k ) where,,..., k are real numbers, called the coordinates of. The elements of k are called points, or vectors, especiall when k. (,,..., n ) and is a real number, put If (,,..., ) and (,,..., k ) So that k and k k k. These operations make over the real field. The inner product or scalar product of and is defined as k. (... ) i And the norm of is defined b The vector space Euclidean k-space. i i k k k ( ) i k with the above inner product and norm is called k into a vector space

13 Chap - 3 Theorem n Let, then i) i) Since ii) (Cauch-Schwarz s inequalit) ( ) therefore ii) If or, then Cauch-Schwarz s inequalit holds with equalit. If and, then for we have ( ) ( ) ( ) ( ) ( ) Now put (certain real number) 4. Which hold if and onl if Question i.e.. n Suppose,, z the prove that a) b) z z a) Consider a a a,

14 Chap - 4 a a a.. (i) b) We have z z z from (i) Relativel Prime Let ab,. Then a and b are said to be relativel prime or co-prime if a and b don t have common factor other than. If a and b are relativel prime then we write ( ab, ). Question If r is non-zero rational and is irrational then prove that r and r are irrational. Let r be rational. a r b where ab,, b such that ab,, a r b c Since r is rational therefore r where cd, d, d such that cd,, a c ad bc. b d bd Which is rational, which can not happened because is given to be irrational. Similarl let us suppose that r is rational then a r for some ab,, b a b r ab, b such that

15 Chap - 5 c Since r is rational therefore r where cd,, d such that cd, d a a d ad b c b c bc d Which shows that is rational, which is again contradiction; hence we conclude that r and r are irrational. References: () Principles of Mathematical Analsis Walter Rudin (McGraw-Hill, Inc.) () Introduction to Real Analsis R.G.Bartle, and D.R. Sherbert (John Wile & Sons, Inc.) (3) Mathematical Analsis, Tom M. Apostol, (Pearson; nd edition.) A password protected zip archive of above resources can be downloaded from the following URL:

Mathematics of Cryptography Part I

Mathematics of Cryptography Part I CHAPTER 2 Mathematics of Crptograph Part I (Solution to Practice Set) Review Questions 1. The set of integers is Z. It contains all integral numbers from negative infinit to positive infinit. The set of

More information

8. BOOLEAN ALGEBRAS x x

8. BOOLEAN ALGEBRAS x x 8. BOOLEAN ALGEBRAS 8.1. Definition of a Boolean Algebra There are man sstems of interest to computing scientists that have a common underling structure. It makes sense to describe such a mathematical

More information

Review Topics for MATH 1400 Elements of Calculus Table of Contents

Review Topics for MATH 1400 Elements of Calculus Table of Contents Math 1400 - Mano Table of Contents - Review - page 1 of 2 Review Topics for MATH 1400 Elements of Calculus Table of Contents MATH 1400 Elements of Calculus is one of the Marquette Core Courses for Mathematical

More information

Studying Rudin s Principles of Mathematical Analysis Through Questions. August 4, 2008

Studying Rudin s Principles of Mathematical Analysis Through Questions. August 4, 2008 Studying Rudin s Principles of Mathematical Analysis Through Questions Mesut B. Çakır c August 4, 2008 ii Contents 1 The Real and Complex Number Systems 3 1.1 Introduction............................................

More information

Structure of R. Chapter Algebraic and Order Properties of R

Structure of R. Chapter Algebraic and Order Properties of R Chapter Structure of R We will re-assemble calculus by first making assumptions about the real numbers. All subsequent results will be rigorously derived from these assumptions. Most of the assumptions

More information

Introduction to Vector Spaces Linear Algebra, Spring 2011

Introduction to Vector Spaces Linear Algebra, Spring 2011 Introduction to Vector Spaces Linear Algebra, Spring 2011 You probabl have heard the word vector before, perhaps in the contet of Calculus III or phsics. You probabl think of a vector like this: 5 3 or

More information

2.2 Some Consequences of the Completeness Axiom

2.2 Some Consequences of the Completeness Axiom 60 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.2 Some Consequences of the Completeness Axiom In this section, we use the fact that R is complete to establish some important results. First, we will prove that

More information

Lecture 2. Econ August 11

Lecture 2. Econ August 11 Lecture 2 Econ 2001 2015 August 11 Lecture 2 Outline 1 Fields 2 Vector Spaces 3 Real Numbers 4 Sup and Inf, Max and Min 5 Intermediate Value Theorem Announcements: - Friday s exam will be at 3pm, in WWPH

More information

Tensor products in Riesz space theory

Tensor products in Riesz space theory Tensor products in Riesz space theor Jan van Waaij Master thesis defended on Jul 16, 2013 Thesis advisors dr. O.W. van Gaans dr. M.F.E. de Jeu Mathematical Institute, Universit of Leiden CONTENTS 2 Contents

More information

MATH 102 INTRODUCTION TO MATHEMATICAL ANALYSIS. 1. Some Fundamentals

MATH 102 INTRODUCTION TO MATHEMATICAL ANALYSIS. 1. Some Fundamentals MATH 02 INTRODUCTION TO MATHEMATICAL ANALYSIS Properties of Real Numbers Some Fundamentals The whole course will be based entirely on the study of sequence of numbers and functions defined on the real

More information

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers

Theorems. Theorem 1.11: Greatest-Lower-Bound Property. Theorem 1.20: The Archimedean property of. Theorem 1.21: -th Root of Real Numbers Page 1 Theorems Wednesday, May 9, 2018 12:53 AM Theorem 1.11: Greatest-Lower-Bound Property Suppose is an ordered set with the least-upper-bound property Suppose, and is bounded below be the set of lower

More information

Flows and Connectivity

Flows and Connectivity Chapter 4 Flows and Connectivit 4. Network Flows Capacit Networks A network N is a connected weighted loopless graph (G,w) with two specified vertices and, called the source and the sink, respectivel,

More information

Chapter One. The Real Number System

Chapter One. The Real Number System Chapter One. The Real Number System We shall give a quick introduction to the real number system. It is imperative that we know how the set of real numbers behaves in the way that its completeness and

More information

1 The Real Number System

1 The Real Number System 1 The Real Number System The rational numbers are beautiful, but are not big enough for various purposes, and the set R of real numbers was constructed in the late nineteenth century, as a kind of an envelope

More information

Course 15 Numbers and Their Properties

Course 15 Numbers and Their Properties Course Numbers and Their Properties KEY Module: Objective: Rules for Eponents and Radicals To practice appling rules for eponents when the eponents are rational numbers Name: Date: Fill in the blanks.

More information

Eigenvectors and Eigenvalues 1

Eigenvectors and Eigenvalues 1 Ma 2015 page 1 Eigenvectors and Eigenvalues 1 In this handout, we will eplore eigenvectors and eigenvalues. We will begin with an eploration, then provide some direct eplanation and worked eamples, and

More information

Section 1.5 Formal definitions of limits

Section 1.5 Formal definitions of limits Section.5 Formal definitions of limits (3/908) Overview: The definitions of the various tpes of limits in previous sections involve phrases such as arbitraril close, sufficientl close, arbitraril large,

More information

General Vector Spaces

General Vector Spaces CHAPTER 4 General Vector Spaces CHAPTER CONTENTS 4. Real Vector Spaces 83 4. Subspaces 9 4.3 Linear Independence 4.4 Coordinates and Basis 4.5 Dimension 4.6 Change of Basis 9 4.7 Row Space, Column Space,

More information

Consequences of the Completeness Property

Consequences of the Completeness Property Consequences of the Completeness Property Philippe B. Laval KSU Today Philippe B. Laval (KSU) Consequences of the Completeness Property Today 1 / 10 Introduction In this section, we use the fact that R

More information

Fuzzy Topology On Fuzzy Sets: Regularity and Separation Axioms

Fuzzy Topology On Fuzzy Sets: Regularity and Separation Axioms wwwaasrcorg/aasrj American Academic & Scholarl Research Journal Vol 4, No 2, March 212 Fuzz Topolog n Fuzz Sets: Regularit and Separation Aioms AKandil 1, S Saleh 2 and MM Yakout 3 1 Mathematics Department,

More information

Finding Limits Graphically and Numerically. An Introduction to Limits

Finding Limits Graphically and Numerically. An Introduction to Limits 60_00.qd //0 :05 PM Page 8 8 CHAPTER Limits and Their Properties Section. Finding Limits Graphicall and Numericall Estimate a it using a numerical or graphical approach. Learn different was that a it can

More information

Chapter R REVIEW OF BASIC CONCEPTS. Section R.1: Sets

Chapter R REVIEW OF BASIC CONCEPTS. Section R.1: Sets Chapter R REVIEW OF BASIC CONCEPTS Section R.: Sets. The elements of the set {,,,, 0} are all the natural numbers from to 0 inclusive. There are 9 elements in the set, {,,,,, 7,, 9, 0}.. Each element of

More information

Finding Limits Graphically and Numerically. An Introduction to Limits

Finding Limits Graphically and Numerically. An Introduction to Limits 8 CHAPTER Limits and Their Properties Section Finding Limits Graphicall and Numericall Estimate a it using a numerical or graphical approach Learn different was that a it can fail to eist Stud and use

More information

Section 2.5 : The Completeness Axiom in R

Section 2.5 : The Completeness Axiom in R Section 2.5 : The Completeness Axiom in R The rational numbers and real numbers are closely related. The set Q of rational numbers is countable and the set R of real numbers is not, and in this sense there

More information

NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part I

NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Complex Analysis II Lecture Notes Part I NATIONAL UNIVERSITY OF SINGAPORE Department of Mathematics MA4247 Comple Analsis II Lecture Notes Part I Chapter 1 Preliminar results/review of Comple Analsis I These are more detailed notes for the results

More information

Lecture 2: A crash course in Real Analysis

Lecture 2: A crash course in Real Analysis EE5110: Probability Foundations for Electrical Engineers July-November 2015 Lecture 2: A crash course in Real Analysis Lecturer: Dr. Krishna Jagannathan Scribe: Sudharsan Parthasarathy This lecture is

More information

A.5. Complex Numbers AP-12. The Development of the Real Numbers

A.5. Complex Numbers AP-12. The Development of the Real Numbers AP- A.5 Comple Numbers Comple numbers are epressions of the form a + ib, where a and b are real numbers and i is a smbol for -. Unfortunatel, the words real and imaginar have connotations that somehow

More information

The Real Number System

The Real Number System MATH 337 The Real Number System Sets of Numbers Dr. Neal, WKU A set S is a well-defined collection of objects, with well-defined meaning that there is a specific description from which we can tell precisely

More information

Classify, graph, and compare real numbers. Find and estimate square roots Identify and apply properties of real numbers.

Classify, graph, and compare real numbers. Find and estimate square roots Identify and apply properties of real numbers. Real Numbers and The Number Line Properties of Real Numbers Classify, graph, and compare real numbers. Find and estimate square roots Identify and apply properties of real numbers. Square root, radicand,

More information

Coordinates for Projective Planes

Coordinates for Projective Planes Chapter 8 Coordinates for Projective Planes Math 4520, Fall 2017 8.1 The Affine plane We now have several eamples of fields, the reals, the comple numbers, the quaternions, and the finite fields. Given

More information

11.4 Polar Coordinates

11.4 Polar Coordinates 11. Polar Coordinates 917 11. Polar Coordinates In Section 1.1, we introduced the Cartesian coordinates of a point in the plane as a means of assigning ordered pairs of numbers to points in the plane.

More information

Sub chapter 1. Fundamentals. 1)If Z 2 = 0,1 then (Z 2, +) is group where. + is addition modulo 2. 2) Z 2 Z 2 = (0,0),(0,1)(1,0)(1,1)

Sub chapter 1. Fundamentals. 1)If Z 2 = 0,1 then (Z 2, +) is group where. + is addition modulo 2. 2) Z 2 Z 2 = (0,0),(0,1)(1,0)(1,1) DISCRETE MATHEMATICS CODING THEORY Sub chapter. Fundamentals. )If Z 2 =, then (Z 2, +) is group where + is addition modulo 2. 2) Z 2 Z 2 = (,),(,)(,)(,) Written for the sake of simplicit as Z 2 Z 2 =,,,

More information

WUCT121. Discrete Mathematics. Logic

WUCT121. Discrete Mathematics. Logic WUCT11 Discrete Mathematics Logic 1. Logic. Predicate Logic 3. Proofs 4. Set Theor 5. Relations and Functions WUCT11 Logic 1 Section 1. Logic 1.1. Introduction. In developing a mathematical theor, assertions

More information

Chapter 1. Sets and Numbers

Chapter 1. Sets and Numbers Chapter 1. Sets and Numbers 1. Sets A set is considered to be a collection of objects (elements). If A is a set and x is an element of the set A, we say x is a member of A or x belongs to A, and we write

More information

Glossary. Also available at BigIdeasMath.com: multi-language glossary vocabulary flash cards. An equation that contains an absolute value expression

Glossary. Also available at BigIdeasMath.com: multi-language glossary vocabulary flash cards. An equation that contains an absolute value expression Glossar This student friendl glossar is designed to be a reference for ke vocabular, properties, and mathematical terms. Several of the entries include a short eample to aid our understanding of important

More information

Properties of Limits

Properties of Limits 33460_003qd //04 :3 PM Page 59 SECTION 3 Evaluating Limits Analticall 59 Section 3 Evaluating Limits Analticall Evaluate a it using properties of its Develop and use a strateg for finding its Evaluate

More information

Roger Johnson Structure and Dynamics: The 230 space groups Lecture 3

Roger Johnson Structure and Dynamics: The 230 space groups Lecture 3 Roger Johnson Structure and Dnamics: The 23 space groups Lecture 3 3.1. Summar In the first two lectures we considered the structure and dnamics of single molecules. In this lecture we turn our attention

More information

Properties of Rational and Irrational Numbers

Properties of Rational and Irrational Numbers Properties of Rational and Irrational Numbers September 8, 2016 Definition: The natural numbers are the set of numbers N = {1, 2, 3,...}, and the integers are the set of numbers Z = {..., 2, 1, 0, 1, 2,...}.

More information

Chapter 4 Analytic Trigonometry

Chapter 4 Analytic Trigonometry Analtic Trigonometr Chapter Analtic Trigonometr Inverse Trigonometric Functions The trigonometric functions act as an operator on the variable (angle, resulting in an output value Suppose this process

More information

Algebra 2 Honors Summer Packet 2018

Algebra 2 Honors Summer Packet 2018 Algebra Honors Summer Packet 018 Solving Linear Equations with Fractional Coefficients For these problems, ou should be able to: A) determine the LCD when given two or more fractions B) solve a linear

More information

Infinite Continued Fractions

Infinite Continued Fractions Infinite Continued Fractions 8-5-200 The value of an infinite continued fraction [a 0 ; a, a 2, ] is lim c k, where c k is the k-th convergent k If [a 0 ; a, a 2, ] is an infinite continued fraction with

More information

Definition: div Let n, d 0. We define ndiv d as the least integer quotient obtained when n is divided by d. That is if

Definition: div Let n, d 0. We define ndiv d as the least integer quotient obtained when n is divided by d. That is if Section 5. Congruence Arithmetic A number of computer languages have built-in functions that compute the quotient and remainder of division. Definition: div Let n, d 0. We define ndiv d as the least integer

More information

Important Properties of R

Important Properties of R Chapter 2 Important Properties of R The purpose of this chapter is to explain to the reader why the set of real numbers is so special. By the end of this chapter, the reader should understand the difference

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter The Real Numbers.. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {, 2, 3, }. In N we can do addition, but in order to do subtraction we need to extend

More information

That is, there is an element

That is, there is an element Section 3.1: Mathematical Induction Let N denote the set of natural numbers (positive integers). N = {1, 2, 3, 4, } Axiom: If S is a nonempty subset of N, then S has a least element. That is, there is

More information

INTRODUCTION TO DIOPHANTINE EQUATIONS

INTRODUCTION TO DIOPHANTINE EQUATIONS INTRODUCTION TO DIOPHANTINE EQUATIONS In the earl 20th centur, Thue made an important breakthrough in the stud of diophantine equations. His proof is one of the first eamples of the polnomial method. His

More information

Part D. Complex Analysis

Part D. Complex Analysis Part D. Comple Analsis Chapter 3. Comple Numbers and Functions. Man engineering problems ma be treated and solved b using comple numbers and comple functions. First, comple numbers and the comple plane

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter 1 The Real Numbers 1.1. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {1, 2, 3, }. In N we can do addition, but in order to do subtraction we need

More information

Answer Explanations. The SAT Subject Tests. Mathematics Level 1 & 2 TO PRACTICE QUESTIONS FROM THE SAT SUBJECT TESTS STUDENT GUIDE

Answer Explanations. The SAT Subject Tests. Mathematics Level 1 & 2 TO PRACTICE QUESTIONS FROM THE SAT SUBJECT TESTS STUDENT GUIDE The SAT Subject Tests Answer Eplanations TO PRACTICE QUESTIONS FROM THE SAT SUBJECT TESTS STUDENT GUIDE Mathematics Level & Visit sat.org/stpractice to get more practice and stud tips for the Subject Test

More information

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT, OAKLAND UNIVERSITY ECE-2700: Digital Logic Design Winter Notes - Unit 2

ELECTRICAL AND COMPUTER ENGINEERING DEPARTMENT, OAKLAND UNIVERSITY ECE-2700: Digital Logic Design Winter Notes - Unit 2 ECE-7: Digital Logic Design Winter 8 Notes - Unit OPTIMIZED IMPLEMENTATION OF LOGIC FUNCTIONS BASIC TECHNIQUES: We can alas minimie logic unctions using the Boolean theorems. Hoever, more poerul methods

More information

Get Solution of These Packages & Learn by Video Tutorials on Matrices

Get Solution of These Packages & Learn by Video Tutorials on  Matrices FEE Download Stud Package from website: wwwtekoclassescom & wwwmathsbsuhagcom Get Solution of These Packages & Learn b Video Tutorials on wwwmathsbsuhagcom Matrices An rectangular arrangement of numbers

More information

TOLLESON UNION HIGH SCHOOL DISTRICT 8 th Grade Algebra 1 Study Guide. 1. Which of these graphs correctly represents the inequality

TOLLESON UNION HIGH SCHOOL DISTRICT 8 th Grade Algebra 1 Study Guide. 1. Which of these graphs correctly represents the inequality TOLLESON UNION HIGH SCHOOL DISTRICT 8 th Grade Algebra 1 Stud Guide 1. Which of these graphs correctl represents the inequalit? C. D.. Which method represents a correct wa to solve the equation? Method

More information

Chapter 5: Systems of Equations

Chapter 5: Systems of Equations Chapter : Sstems of Equations Section.: Sstems in Two Variables... 0 Section. Eercises... 9 Section.: Sstems in Three Variables... Section. Eercises... Section.: Linear Inequalities... Section.: Eercises.

More information

Mathematics Review for Business PhD Students

Mathematics Review for Business PhD Students Mathematics Review for Business PhD Students Anthony M. Marino Department of Finance and Business Economics Marshall School of Business Lecture 1: Introductory Material Sets The Real Number System Functions,

More information

FUNDAMENTALS Lines 1.11 Making Models Using Variation. FOCUS ON MODELING Fitting Lines to Data

FUNDAMENTALS Lines 1.11 Making Models Using Variation. FOCUS ON MODELING Fitting Lines to Data Image copright Monke Business Images. Used under license from Shutterstock.com C H A P T E R FUNDAMENTALS. Real Numbers. Eponents and Radicals.3 Algebraic Epressions.4 Rational Epressions.5 Equations.6

More information

Econ Lecture 2. Outline

Econ Lecture 2. Outline Econ 204 2010 Lecture 2 Outline 1. Cardinality (cont.) 2. Algebraic Structures: Fields and Vector Spaces 3. Axioms for R 4. Sup, Inf, and the Supremum Property 5. Intermediate Value Theorem 1 Cardinality

More information

We have examined power functions like f (x) = x 2. Interchanging x

We have examined power functions like f (x) = x 2. Interchanging x CHAPTER 5 Eponential and Logarithmic Functions We have eamined power functions like f =. Interchanging and ields a different function f =. This new function is radicall different from a power function

More information

Section 1.2: A Catalog of Functions

Section 1.2: A Catalog of Functions Section 1.: A Catalog of Functions As we discussed in the last section, in the sciences, we often tr to find an equation which models some given phenomenon in the real world - for eample, temperature as

More information

Economics 204 Summer/Fall 2011 Lecture 2 Tuesday July 26, 2011 N Now, on the main diagonal, change all the 0s to 1s and vice versa:

Economics 204 Summer/Fall 2011 Lecture 2 Tuesday July 26, 2011 N Now, on the main diagonal, change all the 0s to 1s and vice versa: Economics 04 Summer/Fall 011 Lecture Tuesday July 6, 011 Section 1.4. Cardinality (cont.) Theorem 1 (Cantor) N, the set of all subsets of N, is not countable. Proof: Suppose N is countable. Then there

More information

Math 320-2: Midterm 2 Practice Solutions Northwestern University, Winter 2015

Math 320-2: Midterm 2 Practice Solutions Northwestern University, Winter 2015 Math 30-: Midterm Practice Solutions Northwestern University, Winter 015 1. Give an example of each of the following. No justification is needed. (a) A metric on R with respect to which R is bounded. (b)

More information

Problems for Chapter 3.

Problems for Chapter 3. Problems for Chapter 3. Let A denote a nonempty set of reals. The complement of A, denoted by A, or A C is the set of all points not in A. We say that belongs to the interior of A, Int A, if there eists

More information

Minimal reductions of monomial ideals

Minimal reductions of monomial ideals ISSN: 1401-5617 Minimal reductions of monomial ideals Veronica Crispin Quiñonez Research Reports in Mathematics Number 10, 2004 Department of Mathematics Stocholm Universit Electronic versions of this

More information

2.5 CONTINUITY. a x. Notice that Definition l implicitly requires three things if f is continuous at a:

2.5 CONTINUITY. a x. Notice that Definition l implicitly requires three things if f is continuous at a: SECTION.5 CONTINUITY 9.5 CONTINUITY We noticed in Section.3 that the it of a function as approaches a can often be found simpl b calculating the value of the function at a. Functions with this propert

More information

4Cubic. polynomials UNCORRECTED PAGE PROOFS

4Cubic. polynomials UNCORRECTED PAGE PROOFS 4Cubic polnomials 4.1 Kick off with CAS 4. Polnomials 4.3 The remainder and factor theorems 4.4 Graphs of cubic polnomials 4.5 Equations of cubic polnomials 4.6 Cubic models and applications 4.7 Review

More information

A NEW SET THEORY FOR ANALYSIS

A NEW SET THEORY FOR ANALYSIS Article A NEW SET THEORY FOR ANALYSIS Juan Pablo Ramírez 0000-0002-4912-2952 Abstract: We present the real number system as a generalization of the natural numbers. First, we prove the co-finite topology,

More information

Chapter 1 The Real Numbers

Chapter 1 The Real Numbers Chapter 1 The Real Numbers In a beginning course in calculus, the emphasis is on introducing the techniques of the subject;i.e., differentiation and integration and their applications. An advanced calculus

More information

Symmetry Arguments and the Role They Play in Using Gauss Law

Symmetry Arguments and the Role They Play in Using Gauss Law Smmetr Arguments and the Role The la in Using Gauss Law K. M. Westerberg (9/2005) Smmetr plas a ver important role in science in general, and phsics in particular. Arguments based on smmetr can often simplif

More information

Foundations of Databases

Foundations of Databases Foundations of Databases (Slides adapted from Thomas Eiter, Leonid Libkin and Werner Nutt) Foundations of Databases 1 Quer optimization: finding a good wa to evaluate a quer Queries are declarative, and

More information

f(x) = 2x 2 + 2x - 4

f(x) = 2x 2 + 2x - 4 4-1 Graphing Quadratic Functions What You ll Learn Scan the tet under the Now heading. List two things ou will learn about in the lesson. 1. Active Vocabular 2. New Vocabular Label each bo with the terms

More information

MAT 1275: Introduction to Mathematical Analysis. Graphs and Simplest Equations for Basic Trigonometric Functions. y=sin( x) Function

MAT 1275: Introduction to Mathematical Analysis. Graphs and Simplest Equations for Basic Trigonometric Functions. y=sin( x) Function MAT 275: Introduction to Mathematical Analsis Dr. A. Rozenblum Graphs and Simplest Equations for Basic Trigonometric Functions We consider here three basic functions: sine, cosine and tangent. For them,

More information

1.3 LIMITS AT INFINITY; END BEHAVIOR OF A FUNCTION

1.3 LIMITS AT INFINITY; END BEHAVIOR OF A FUNCTION . Limits at Infinit; End Behavior of a Function 89. LIMITS AT INFINITY; END BEHAVIOR OF A FUNCTION Up to now we have been concerned with its that describe the behavior of a function f) as approaches some

More information

Section 1.2: Relations, from College Algebra: Corrected Edition by Carl Stitz, Ph.D. and Jeff Zeager, Ph.D. is available under a Creative Commons

Section 1.2: Relations, from College Algebra: Corrected Edition by Carl Stitz, Ph.D. and Jeff Zeager, Ph.D. is available under a Creative Commons Section.: Relations, from College Algebra: Corrected Edition b Carl Stitz, Ph.D. and Jeff Zeager, Ph.D. is available under a Creative Commons Attribution-NonCommercial-ShareAlike.0 license. 0, Carl Stitz.

More information

12.1 Systems of Linear equations: Substitution and Elimination

12.1 Systems of Linear equations: Substitution and Elimination . Sstems of Linear equations: Substitution and Elimination Sstems of two linear equations in two variables A sstem of equations is a collection of two or more equations. A solution of a sstem in two variables

More information

Mathematics Review for Business PhD Students Lecture Notes

Mathematics Review for Business PhD Students Lecture Notes Mathematics Review for Business PhD Students Lecture Notes Anthony M. Marino Department of Finance and Business Economics Marshall School of Business University of Southern California Los Angeles, CA 90089-0804

More information

Polynomial and Rational Functions

Polynomial and Rational Functions Name Date Chapter Polnomial and Rational Functions Section.1 Quadratic Functions Objective: In this lesson ou learned how to sketch and analze graphs of quadratic functions. Important Vocabular Define

More information

Associativity of triangular norms in light of web geometry

Associativity of triangular norms in light of web geometry Associativit of triangular norms in light of web geometr Milan Petrík 1,2 Peter Sarkoci 3 1. Institute of Computer Science, Academ of Sciences of the Czech Republic, Prague, Czech Republic 2. Center for

More information

Lebesgue Measure and The Cantor Set

Lebesgue Measure and The Cantor Set Math 0 Final year project Lebesgue Measure and The Cantor Set Jason Baker, Kyle Henke, Michael Sanchez Overview Define a measure Define when a set has measure zero Find the measure of [0, ], I and Q Construct

More information

THE REAL NUMBERS Chapter #4

THE REAL NUMBERS Chapter #4 FOUNDATIONS OF ANALYSIS FALL 2008 TRUE/FALSE QUESTIONS THE REAL NUMBERS Chapter #4 (1) Every element in a field has a multiplicative inverse. (2) In a field the additive inverse of 1 is 0. (3) In a field

More information

Time-Frequency Analysis: Fourier Transforms and Wavelets

Time-Frequency Analysis: Fourier Transforms and Wavelets Chapter 4 Time-Frequenc Analsis: Fourier Transforms and Wavelets 4. Basics of Fourier Series 4.. Introduction Joseph Fourier (768-83) who gave his name to Fourier series, was not the first to use Fourier

More information

6. Linear transformations. Consider the function. f : R 2 R 2 which sends (x, y) (x, y)

6. Linear transformations. Consider the function. f : R 2 R 2 which sends (x, y) (x, y) Consider the function 6 Linear transformations f : R 2 R 2 which sends (x, ) (, x) This is an example of a linear transformation Before we get into the definition of a linear transformation, let s investigate

More information

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics

Undergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights

More information

2.5. Infinite Limits and Vertical Asymptotes. Infinite Limits

2.5. Infinite Limits and Vertical Asymptotes. Infinite Limits . Infinite Limits and Vertical Asmptotes. Infinite Limits and Vertical Asmptotes In this section we etend the concept of it to infinite its, which are not its as before, but rather an entirel new use of

More information

Linear programming: Theory

Linear programming: Theory Division of the Humanities and Social Sciences Ec 181 KC Border Convex Analsis and Economic Theor Winter 2018 Topic 28: Linear programming: Theor 28.1 The saddlepoint theorem for linear programming The

More information

3.7 InveRSe FUnCTIOnS

3.7 InveRSe FUnCTIOnS CHAPTER functions learning ObjeCTIveS In this section, ou will: Verif inverse functions. Determine the domain and range of an inverse function, and restrict the domain of a function to make it one-to-one.

More information

INTRODUCTION TO DIFFERENTIAL EQUATIONS

INTRODUCTION TO DIFFERENTIAL EQUATIONS INTRODUCTION TO DIFFERENTIAL EQUATIONS. Definitions and Terminolog. Initial-Value Problems.3 Differential Equations as Mathematical Models CHAPTER IN REVIEW The words differential and equations certainl

More information

STA2112F99 ε δ Review

STA2112F99 ε δ Review STA2112F99 ε δ Review 1. Sequences of real numbers Definition: Let a 1, a 2,... be a sequence of real numbers. We will write a n a, or lim a n = a, if for n all ε > 0, there exists a real number N such

More information

4 Inverse function theorem

4 Inverse function theorem Tel Aviv Universit, 2013/14 Analsis-III,IV 53 4 Inverse function theorem 4a What is the problem................ 53 4b Simple observations before the theorem..... 54 4c The theorem.....................

More information

A number that can be written as, where p and q are integers and q Number.

A number that can be written as, where p and q are integers and q Number. RATIONAL NUMBERS 1.1 Definition of Rational Numbers: What are rational numbers? A number that can be written as, where p and q are integers and q Number. 0, is known as Rational Example:, 12, -18 etc.

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

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

Relations and Functions

Relations and Functions artesian product Relations and Functions Let and be two sets. Then the set of all ordered pairs ab where a and b is called the artesian Product or ross Product or Product set of and and is denoted b X.

More information

Logic and Computer Design Fundamentals. Chapter 2 Combinational Logic Circuits. Part 1 Gate Circuits and Boolean Equations

Logic and Computer Design Fundamentals. Chapter 2 Combinational Logic Circuits. Part 1 Gate Circuits and Boolean Equations Logic and Computer Design Fundamentals Chapter 2 Combinational Logic Circuits Part Gate Circuits and Boolean Equations Charles Kime & Thomas Kaminski 28 Pearson Education, Inc. (Hperlinks are active in

More information

Item 8. Constructing the Square Area of Two Proving No Irrationals. 6 Total Pages

Item 8. Constructing the Square Area of Two Proving No Irrationals. 6 Total Pages Item 8 Constructing the Square Area of Two Proving No Irrationals 6 Total Pages 1 2 We want to start with Pi. How Geometry Proves No Irrations They call Pi the ratio of the circumference of a circle to

More information

Appendix 2 Complex Analysis

Appendix 2 Complex Analysis Appendix Complex Analsis This section is intended to review several important theorems and definitions from complex analsis. Analtic function Let f be a complex variable function of a complex value, i.e.

More information

New types of bipolar fuzzy sets in -semihypergroups

New types of bipolar fuzzy sets in -semihypergroups Songlanaarin J. Sci. Technol. 38 (2) 119-127 Mar. - pr. 2016 http://www.sjst.psu.ac.th Original rticle New tpes of bipolar fu sets in -semihpergroups Naveed Yaqoob 1 * Muhammad slam 2 Inaatur Rehman 3

More information

Outline. We will now investigate the structure of this important set.

Outline. We will now investigate the structure of this important set. The Reals Outline As we have seen, the set of real numbers, R, has cardinality c. This doesn't tell us very much about the reals, since there are many sets with this cardinality and cardinality doesn't

More information

Physically Based Rendering ( ) Geometry and Transformations

Physically Based Rendering ( ) Geometry and Transformations Phsicall Based Rendering (6.657) Geometr and Transformations 3D Point Specifies a location Origin 3D Point Specifies a location Represented b three coordinates Infinitel small class Point3D { public: Coordinate

More information

REAL ANALYSIS: INTRODUCTION

REAL ANALYSIS: INTRODUCTION REAL ANALYSIS: INTRODUCTION DR. RITU AGARWAL EMAIL: RAGARWAL.MATHS@MNIT.AC.IN MALVIYA NATIONAL INSTITUTE OF TECHNOLOGY JAIPUR Contents 1. The real number system 1 2. Field Axioms 1 3. Order Axioms 2 4.

More information

Foundations of Databases

Foundations of Databases Foundations of Databases Free Universit of Bozen Bolzano, 2009 Werner Nutt (Most slides adapted from Thomas Eiter and Leonid Libkin) Foundations of Databases 1 Quer optimization: finding a good wa to evaluate

More information

Placement Test. Circle the letter of the correct answer.

Placement Test. Circle the letter of the correct answer. Week Unit 0. What is the place value where the numbers differ?,7,7 A ones tens hundreds thousands. 70 A 6,0 6,0,0,0. 7 A 00 909 999 99. Which of the following is equivalent to the product of? A ( ) (0

More information