In case (1) 1 = 0. Then using and from Friday,

Size: px
Start display at page:

Download "In case (1) 1 = 0. Then using and from Friday,"

Transcription

1 Math 316, Intro to Analysis The order of the real numbers. The field axioms are not enough to give R, as an extra credit problem will show. Definition 1. An ordered field F is a field together with a nonempty subset P F (called the set of positive elements) such that (1) P is Closed under addition: For all a, b P (2) P is Closed under multiplication: For all a, b P (3) The Trichotomy law: For all x F exactly one of the following holds: (a) (b) (c) Proposition 2 (1 is positive.). Let F be an ordered field and 1 be the multiplicative identity, then 1 P Proof. Suppose for the sake of contradiction that 1 / P. According to the trichotomy law then either (1) 1 = 0 or (2) 1 P. Since P, we let p P. In case (1) 1 = 0. Then using and from Friday, p = 1 p = =, contradicting the trichotomy law because. In case (2) 1 P. Then using from Friday, p = p, Since 1 P we see by closure under multiplication that contradicting the trichotomy law because. The additive and order properties of R can be summarized as: Axiom (2). R is an ordered field. This doesn t look like an ordering does it? involving the symbol <. You might have been expecting something Definition 3. Let F be an ordered field and P be its set of positive elements. If a, b F then we say that a < b if, a > b if a b if, and a b if 1

2 2 Let s begin by proving some properties which inequality should have. Theorem 4 (Properties of <). Let F be an ordered field and a, b, c F. Then (1) (Additivity) If a < b then a + c b + c. (Fill in the blank) (2) (Transitivity) If a < b and b < c then a c. (Fill in the blank) (3) (Multiplicativity) If a < b and 0 < c then a c b c. (Fill in the blank) (4) (Multiplicativity II) If a < b and c < 0 then a c b c. (Fill in the blank) (5) If a 0 then a 2 := a a 0 Together we will prove (1) and (5) Proof. Start by writing down the assumption (at the top) and the conclusion (at the bottom). Then do some magic to get from the start to the end. We ll start with the proof of the first claim: That for all a, b, c F if a < b then a + c b + c. Consider any a, b, c F. Assume that. This means that. Thus,. From this it follows that. This completes the proof of the first result. Now we will prove the fifth claim. Consider any a F. Assume a 0. According to the trichotomy law, since a 0, either (1) or (2). In case (1) by closure under multiplication, it follows that, and we are done. In case (2) by closure under multiplication, it follows that additive inverse it follows that. ( Which property? Name it which means that. By properties of ) Thus, in either case. This completes the proof.

3 Our next goal is a discussion of the action of raising real numbers (or any element of an ordered field) to a natural number. Definition 5. Let F be a field. For any x F and any natural number n N we define x n recursively by x 1 = x and x n = x x n 1 if n > 1. How should order behave under exponentiation? Theorem 6. Let F be an ordered field (1) Let x F and n be a natural number. If x > 1 then 1 x n (2) Let x F and n be natural number. If 0 < x < 1 then 1 x n (3) Let x = 1 and n be a natural number. Then 1 x n In order to prove this we will need to recall the proof technique called mathematical induction. Proof technique. Let P (n) be a statement which makes sense for every natural number n N. (For example P (n) might be n is even. ) If you can prove that (Base Case) P (1) is true and (Inductive step) For all n N P (n) implies P (n + 1) then you have proven that P (n) is true for all n. Let s prove claims (3) and (1) of Theorem 6: Proof of claim 3. Let F be a field and x = 1. Base Case We must show that x Inductive step Consider any n N. Assume that x n 1. We must show that x n+1 1. Thus, by the principle of mathematics induction, If x = 1 then x n+1 1 for all n N. That was the easy step, though. Now let s see how well the proof generalizes to the first claim Proof of claim 1. Let F be an ordered field and x > 1. Base Case We must show that x 1 1.

4 4 Inductive step Consider any n N. Assume that x n 1. We must show that x n+1 1. Thus, by the principle of mathematics induction, If x > 1 then x n+1 1 for all n N. Absolute value. Continuing from last time, let F be an ordered field. The following function should be familiar. Definition 7 (Absolute Value). The absolute value function on the ordered field F, is defined by if x 0 x = if x < 0 Let s begin by proving some basic (and hopefully familiar) properties of the absolute value. Theorem 8. Let F be an ordered field. let a, b F. Then (1) a 0 (2) a a (3) a a a (4) ab a b (5) If b 0 (b 1 ) ( b ) 1 (6) a b if and only if b a b. (7) The Triangle inequality. a + b a + b (8) a b a b The Triangle inequality is by far the most important (and hardest to prove) of these. We ll talk though the proof of (3) and (6) because we ll need them in the proof of the triangle inequality (7). Proof of claim 3. Let F be an ordered field. Let a F. There are two cases: (1) a 0 or (2) a < 0. In case (1) a =, so that the claimed inequality amounts to proving the inequalities and. One of these is a truism since a = a. To see the second notice that since a 0, a a a, completing the proof in case (1). In case (2) a = 0. By the transitivity law, then, so that the claimed inequality amounts to proving the inequalities and. One of these is a truism since

5 a = a. To see the second notice that since a 0, a a a, completing the proof in case (1). 0. By the transitivity law, then Proof of claim 6. Let F be an ordered field and consider any a, b F. ( ) Assume that a b. We must show that b < a and a < b. Since a 0 and b a we have that b 0. Again we will make a case-wise attack. Either (1) a 0 or (2) a < 0. In case 1, a = so that the assumption a b becomes, which proves one of the needed inequalities. By the trichotomy law, a 0. Since b 0, it follows that b 0 a and by transitivity completing the proof in this case. In case 1, a = so that the assumption a b becomes. 5 Multiplying both sides by 1 and using Theorem 4, claim (4) we see. This proves one of the desired inequlities. Since b 0, it follows that b 0 a and by transitivity completing the proof in this case. Thus, if a b then b a b. Suppose now that b a and a b. We must show that a < b. Again we make a case-by-case proof. Either (1) a 0 or (2) a < 0. In the first case a = and the inequality to be proven become which is precisely the (first or second?) of the assumed inequalities. In the second case a = and the inequality to be proven become which is precisely the (first or second?) of the assumed inequalities. Proof of the triangle inequality. Let F be an ordered field and a, b F. We wish to show that a + b a + b. According to claim (6) this is equivalent to proving that or by factoring out the negative sign that Now using claim (3) a a a and b b b. Adding these inequalities together and using the additivity property of Theorem 4 we see that, which we have already seen to be equivalent to the claimed inequality.

In case (1) 1 = 0. Then using and from the previous lecture,

In case (1) 1 = 0. Then using and from the previous lecture, Math 316, Intro to Analysis The order of the real numbers. The field axioms are not enough to give R, as an extra credit problem will show. Definition 1. An ordered field F is a field together with a nonempty

More information

A lower bound for X is an element z F such that

A lower bound for X is an element z F such that Math 316, Intro to Analysis Completeness. Definition 1 (Upper bounds). Let F be an ordered field. For a subset X F an upper bound for X is an element y F such that A lower bound for X is an element z F

More information

Axioms for the Real Number System

Axioms for the Real Number System Axioms for the Real Number System Math 361 Fall 2003 Page 1 of 9 The Real Number System The real number system consists of four parts: 1. A set (R). We will call the elements of this set real numbers,

More information

A lower bound for X is an element z F such that

A lower bound for X is an element z F such that Math 316, Intro to Analysis Completeness. Definition 1 (Upper bounds). Let F be an ordered field. For a subset X F an upper bound for X is an element y F such that A lower bound for X is an element z F

More information

µ (X) := inf l(i k ) where X k=1 I k, I k an open interval Notice that is a map from subsets of R to non-negative number together with infinity

µ (X) := inf l(i k ) where X k=1 I k, I k an open interval Notice that is a map from subsets of R to non-negative number together with infinity A crash course in Lebesgue measure theory, Math 317, Intro to Analysis II These lecture notes are inspired by the third edition of Royden s Real analysis. The Jordan content is an attempt to extend the

More information

CHAPTER 8: EXPLORING R

CHAPTER 8: EXPLORING R CHAPTER 8: EXPLORING R LECTURE NOTES FOR MATH 378 (CSUSM, SPRING 2009). WAYNE AITKEN In the previous chapter we discussed the need for a complete ordered field. The field Q is not complete, so we constructed

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

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

n n P} is a bounded subset Proof. Let A be a nonempty subset of Z, bounded above. Define the set

n n P} is a bounded subset Proof. Let A be a nonempty subset of Z, bounded above. Define the set 1 Mathematical Induction We assume that the set Z of integers are well defined, and we are familiar with the addition, subtraction, multiplication, and division. In particular, we assume the following

More information

Math 242: Principles of Analysis Fall 2016 Homework 1 Part B solutions

Math 242: Principles of Analysis Fall 2016 Homework 1 Part B solutions Math 4: Principles of Analysis Fall 0 Homework Part B solutions. Let x, y, z R. Use the axioms of the real numbers to prove the following. a) If x + y = x + z then y = z. Solution. By Axiom a), there is

More information

We want to show P (n) is true for all integers

We want to show P (n) is true for all integers Generalized Induction Proof: Let P (n) be the proposition 1 + 2 + 2 2 + + 2 n = 2 n+1 1. We want to show P (n) is true for all integers n 0. Generalized Induction Example: Use generalized induction to

More information

Divisibility = 16, = 9, = 2, = 5. (Negative!)

Divisibility = 16, = 9, = 2, = 5. (Negative!) Divisibility 1-17-2018 You probably know that division can be defined in terms of multiplication. If m and n are integers, m divides n if n = mk for some integer k. In this section, I ll look at properties

More information

Homework #2 Solutions Due: September 5, for all n N n 3 = n2 (n + 1) 2 4

Homework #2 Solutions Due: September 5, for all n N n 3 = n2 (n + 1) 2 4 Do the following exercises from the text: Chapter (Section 3):, 1, 17(a)-(b), 3 Prove that 1 3 + 3 + + n 3 n (n + 1) for all n N Proof The proof is by induction on n For n N, let S(n) be the statement

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

Math 10850, fall 2017, University of Notre Dame

Math 10850, fall 2017, University of Notre Dame Math 10850, fall 2017, University of Notre Dame Notes on first exam September 22, 2017 The key facts The first midterm will be on Thursday, September 28, 6.15pm-7.45pm in Hayes-Healy 127. What you need

More information

Lecture 6: Finite Fields

Lecture 6: Finite Fields CCS Discrete Math I Professor: Padraic Bartlett Lecture 6: Finite Fields Week 6 UCSB 2014 It ain t what they call you, it s what you answer to. W. C. Fields 1 Fields In the next two weeks, we re going

More information

Well-Ordering Principle. Axiom: Every nonempty subset of Z + has a least element. That is, if S Z + and S, then S has a smallest element.

Well-Ordering Principle. Axiom: Every nonempty subset of Z + has a least element. That is, if S Z + and S, then S has a smallest element. Well-Ordering Principle Axiom: Every nonempty subset of Z + has a least element. That is, if S Z + and S, then S has a smallest element. Well-Ordering Principle Example: Use well-ordering property to prove

More information

Complete Induction and the Well- Ordering Principle

Complete Induction and the Well- Ordering Principle Complete Induction and the Well- Ordering Principle Complete Induction as a Rule of Inference In mathematical proofs, complete induction (PCI) is a rule of inference of the form P (a) P (a + 1) P (b) k

More information

WORKSHEET MATH 215, FALL 15, WHYTE. We begin our course with the natural numbers:

WORKSHEET MATH 215, FALL 15, WHYTE. We begin our course with the natural numbers: WORKSHEET MATH 215, FALL 15, WHYTE We begin our course with the natural numbers: N = {1, 2, 3,...} which are a subset of the integers: Z = {..., 2, 1, 0, 1, 2, 3,... } We will assume familiarity with their

More information

Induction 1 = 1(1+1) = 2(2+1) = 3(3+1) 2

Induction 1 = 1(1+1) = 2(2+1) = 3(3+1) 2 Induction 0-8-08 Induction is used to prove a sequence of statements P(), P(), P(3),... There may be finitely many statements, but often there are infinitely many. For example, consider the statement ++3+

More information

Math 104: Homework 1 solutions

Math 104: Homework 1 solutions Math 10: Homework 1 solutions 1. The basis for induction, P 1, is true, since 1 3 = 1. Now consider the induction step, assuming P n is true and examining P n+1. By making use of the result (1 + +... +

More information

Lecture 4: Constructing the Integers, Rationals and Reals

Lecture 4: Constructing the Integers, Rationals and Reals Math/CS 20: Intro. to Math Professor: Padraic Bartlett Lecture 4: Constructing the Integers, Rationals and Reals Week 5 UCSB 204 The Integers Normally, using the natural numbers, you can easily define

More information

Exercise 2. Prove that [ 1, 1] is the set of all the limit points of ( 1, 1] = {x R : 1 <

Exercise 2. Prove that [ 1, 1] is the set of all the limit points of ( 1, 1] = {x R : 1 < Math 316, Intro to Analysis Limits of functions We are experts at taking limits of sequences as the indexing parameter gets close to infinity. What about limits of functions as the independent variable

More information

Solutions for Homework Assignment 2

Solutions for Homework Assignment 2 Solutions for Homework Assignment 2 Problem 1. If a,b R, then a+b a + b. This fact is called the Triangle Inequality. By using the Triangle Inequality, prove that a b a b for all a,b R. Solution. To prove

More information

Chapter 5: The Integers

Chapter 5: The Integers c Dr Oksana Shatalov, Fall 2014 1 Chapter 5: The Integers 5.1: Axioms and Basic Properties Operations on the set of integers, Z: addition and multiplication with the following properties: A1. Addition

More information

Math 414, Fall 2016, Test I

Math 414, Fall 2016, Test I Math 414, Fall 2016, Test I Dr. Holmes September 23, 2016 The test begins at 10:30 am and ends officially at 11:45 am: what will actually happen at 11:45 is that I will give a five minute warning. The

More information

MATH 2400: PRACTICE PROBLEMS FOR EXAM 1

MATH 2400: PRACTICE PROBLEMS FOR EXAM 1 MATH 2400: PRACTICE PROBLEMS FOR EXAM 1 PETE L. CLARK 1) Find all real numbers x such that x 3 = x. Prove your answer! Solution: If x 3 = x, then 0 = x 3 x = x(x + 1)(x 1). Earlier we showed using the

More information

Math 300 Introduction to Mathematical Reasoning Autumn 2017 Axioms for the Real Numbers

Math 300 Introduction to Mathematical Reasoning Autumn 2017 Axioms for the Real Numbers Math 300 Introduction to Mathematical Reasoning Autumn 2017 Axioms for the Real Numbers PRIMITIVE TERMS To avoid circularity, we cannot give every term a rigorous mathematical definition; we have to accept

More information

Seunghee Ye Ma 8: Week 2 Oct 6

Seunghee Ye Ma 8: Week 2 Oct 6 Week 2 Summary This week, we will learn about sequences and real numbers. We first define what we mean by a sequence and discuss several properties of sequences. Then, we will talk about what it means

More information

Principles of Real Analysis I Fall I. The Real Number System

Principles of Real Analysis I Fall I. The Real Number System 21-355 Principles of Real Analysis I Fall 2004 I. The Real Number System The main goal of this course is to develop the theory of real-valued functions of one real variable in a systematic and rigorous

More information

Math 421, Homework #6 Solutions. (1) Let E R n Show that = (E c ) o, i.e. the complement of the closure is the interior of the complement.

Math 421, Homework #6 Solutions. (1) Let E R n Show that = (E c ) o, i.e. the complement of the closure is the interior of the complement. Math 421, Homework #6 Solutions (1) Let E R n Show that (Ē) c = (E c ) o, i.e. the complement of the closure is the interior of the complement. 1 Proof. Before giving the proof we recall characterizations

More information

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous:

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous: MATH 51H Section 4 October 16, 2015 1 Continuity Recall what it means for a function between metric spaces to be continuous: Definition. Let (X, d X ), (Y, d Y ) be metric spaces. A function f : X Y is

More information

means is a subset of. So we say A B for sets A and B if x A we have x B holds. BY CONTRAST, a S means that a is a member of S.

means is a subset of. So we say A B for sets A and B if x A we have x B holds. BY CONTRAST, a S means that a is a member of S. 1 Notation For those unfamiliar, we have := means equal by definition, N := {0, 1,... } or {1, 2,... } depending on context. (i.e. N is the set or collection of counting numbers.) In addition, means for

More information

Scalar multiplication and addition of sequences 9

Scalar multiplication and addition of sequences 9 8 Sequences 1.2.7. Proposition. Every subsequence of a convergent sequence (a n ) n N converges to lim n a n. Proof. If (a nk ) k N is a subsequence of (a n ) n N, then n k k for every k. Hence if ε >

More information

1 Take-home exam and final exam study guide

1 Take-home exam and final exam study guide Math 215 - Introduction to Advanced Mathematics Fall 2013 1 Take-home exam and final exam study guide 1.1 Problems The following are some problems, some of which will appear on the final exam. 1.1.1 Number

More information

Math 410 Homework 6 Due Monday, October 26

Math 410 Homework 6 Due Monday, October 26 Math 40 Homework 6 Due Monday, October 26. Let c be any constant and assume that lim s n = s and lim t n = t. Prove that: a) lim c s n = c s We talked about these in class: We want to show that for all

More information

Proof by Contradiction

Proof by Contradiction Proof by Contradiction MAT231 Transition to Higher Mathematics Fall 2014 MAT231 (Transition to Higher Math) Proof by Contradiction Fall 2014 1 / 12 Outline 1 Proving Statements with Contradiction 2 Proving

More information

Math 324 Summer 2012 Elementary Number Theory Notes on Mathematical Induction

Math 324 Summer 2012 Elementary Number Theory Notes on Mathematical Induction Math 4 Summer 01 Elementary Number Theory Notes on Mathematical Induction Principle of Mathematical Induction Recall the following axiom for the set of integers. Well-Ordering Axiom for the Integers If

More information

MATH 301 INTRO TO ANALYSIS FALL 2016

MATH 301 INTRO TO ANALYSIS FALL 2016 MATH 301 INTRO TO ANALYSIS FALL 016 Homework 04 Professional Problem Consider the recursive sequence defined by x 1 = 3 and +1 = 1 4 for n 1. (a) Prove that ( ) converges. (Hint: show that ( ) is decreasing

More information

California: Algebra 1

California: Algebra 1 Algebra Discovering Algebra An Investigative Approach California: Algebra 1 Grades Eight Through Twelve Mathematics Content Standards 1.0 Students identify and use the arithmetic properties of subsets

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

0.Axioms for the Integers 1

0.Axioms for the Integers 1 0.Axioms for the Integers 1 Number theory is the study of the arithmetical properties of the integers. You have been doing arithmetic with integers since you were a young child, but these mathematical

More information

MATH 324 Summer 2011 Elementary Number Theory. Notes on Mathematical Induction. Recall the following axiom for the set of integers.

MATH 324 Summer 2011 Elementary Number Theory. Notes on Mathematical Induction. Recall the following axiom for the set of integers. MATH 4 Summer 011 Elementary Number Theory Notes on Mathematical Induction Principle of Mathematical Induction Recall the following axiom for the set of integers. Well-Ordering Axiom for the Integers If

More information

Definition 2.1. A metric (or distance function) defined on a non-empty set X is a function d: X X R that satisfies: For all x, y, and z in X :

Definition 2.1. A metric (or distance function) defined on a non-empty set X is a function d: X X R that satisfies: For all x, y, and z in X : MATH 337 Metric Spaces Dr. Neal, WKU Let X be a non-empty set. The elements of X shall be called points. We shall define the general means of determining the distance between two points. Throughout we

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

Supremum and Infimum

Supremum and Infimum Supremum and Infimum UBC M0 Lecture Notes by Philip D. Loewen The Real Number System. Work hard to construct from the axioms a set R with special elements O and I, and a subset P R, and mappings A: R R

More information

MAT115A-21 COMPLETE LECTURE NOTES

MAT115A-21 COMPLETE LECTURE NOTES MAT115A-21 COMPLETE LECTURE NOTES NATHANIEL GALLUP 1. Introduction Number theory begins as the study of the natural numbers the integers N = {1, 2, 3,...}, Z = { 3, 2, 1, 0, 1, 2, 3,...}, and sometimes

More information

Lecture 3. Theorem 1: D 6

Lecture 3. Theorem 1: D 6 Lecture 3 This week we have a longer section on homomorphisms and isomorphisms and start formally working with subgroups even though we have been using them in Chapter 1. First, let s finish what was claimed

More information

Introduction to Mathematical Programming IE406. Lecture 3. Dr. Ted Ralphs

Introduction to Mathematical Programming IE406. Lecture 3. Dr. Ted Ralphs Introduction to Mathematical Programming IE406 Lecture 3 Dr. Ted Ralphs IE406 Lecture 3 1 Reading for This Lecture Bertsimas 2.1-2.2 IE406 Lecture 3 2 From Last Time Recall the Two Crude Petroleum example.

More information

MATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017

MATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017 MATH 220 (all sections) Homework #12 not to be turned in posted Friday, November 24, 2017 Definition: A set A is finite if there exists a nonnegative integer c such that there exists a bijection from A

More information

Math 4310 Solutions to homework 1 Due 9/1/16

Math 4310 Solutions to homework 1 Due 9/1/16 Math 0 Solutions to homework Due 9//6. An element [a] Z/nZ is idempotent if [a] 2 [a]. Find all idempotent elements in Z/0Z and in Z/Z. Solution. First note we clearly have [0] 2 [0] so [0] is idempotent

More information

Basics of Proofs. 1 The Basics. 2 Proof Strategies. 2.1 Understand What s Going On

Basics of Proofs. 1 The Basics. 2 Proof Strategies. 2.1 Understand What s Going On Basics of Proofs The Putnam is a proof based exam and will expect you to write proofs in your solutions Similarly, Math 96 will also require you to write proofs in your homework solutions If you ve seen

More information

a = qb + r where 0 r < b. Proof. We first prove this result under the additional assumption that b > 0 is a natural number. Let

a = qb + r where 0 r < b. Proof. We first prove this result under the additional assumption that b > 0 is a natural number. Let 2. Induction and the division algorithm The main method to prove results about the natural numbers is to use induction. We recall some of the details and at the same time present the material in a different

More information

Contradiction MATH Contradiction. Benjamin V.C. Collins, James A. Swenson MATH 2730

Contradiction MATH Contradiction. Benjamin V.C. Collins, James A. Swenson MATH 2730 MATH 2730 Contradiction Benjamin V.C. Collins James A. Swenson Contrapositive The contrapositive of the statement If A, then B is the statement If not B, then not A. A statement and its contrapositive

More information

Distance in the Plane

Distance in the Plane Distance in the Plane The absolute value function is defined as { x if x 0; and x = x if x < 0. If the number a is positive or zero, then a = a. If a is negative, then a is the number you d get by erasing

More information

(a) We need to prove that is reflexive, symmetric and transitive. 2b + a = 3a + 3b (2a + b) = 3a + 3b 3k = 3(a + b k)

(a) We need to prove that is reflexive, symmetric and transitive. 2b + a = 3a + 3b (2a + b) = 3a + 3b 3k = 3(a + b k) MATH 111 Optional Exam 3 lutions 1. (0 pts) We define a relation on Z as follows: a b if a + b is divisible by 3. (a) (1 pts) Prove that is an equivalence relation. (b) (8 pts) Determine all equivalence

More information

Math 421, Homework #7 Solutions. We can then us the triangle inequality to find for k N that (x k + y k ) (L + M) = (x k L) + (y k M) x k L + y k M

Math 421, Homework #7 Solutions. We can then us the triangle inequality to find for k N that (x k + y k ) (L + M) = (x k L) + (y k M) x k L + y k M Math 421, Homework #7 Solutions (1) Let {x k } and {y k } be convergent sequences in R n, and assume that lim k x k = L and that lim k y k = M. Prove directly from definition 9.1 (i.e. don t use Theorem

More information

Lecture 8: A Crash Course in Linear Algebra

Lecture 8: A Crash Course in Linear Algebra Math/CS 120: Intro. to Math Professor: Padraic Bartlett Lecture 8: A Crash Course in Linear Algebra Week 9 UCSB 2014 Qué sed de saber cuánto! Pablo Neruda, Oda a los Números 1 Linear Algebra In the past

More information

The following techniques for methods of proofs are discussed in our text: - Vacuous proof - Trivial proof

The following techniques for methods of proofs are discussed in our text: - Vacuous proof - Trivial proof Ch. 1.6 Introduction to Proofs The following techniques for methods of proofs are discussed in our text - Vacuous proof - Trivial proof - Direct proof - Indirect proof (our book calls this by contraposition)

More information

20 Ordinals. Definition A set α is an ordinal iff: (i) α is transitive; and. (ii) α is linearly ordered by. Example 20.2.

20 Ordinals. Definition A set α is an ordinal iff: (i) α is transitive; and. (ii) α is linearly ordered by. Example 20.2. 20 Definition 20.1. A set α is an ordinal iff: (i) α is transitive; and (ii) α is linearly ordered by. Example 20.2. (a) Each natural number n is an ordinal. (b) ω is an ordinal. (a) ω {ω} is an ordinal.

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

2. Introduction to commutative rings (continued)

2. Introduction to commutative rings (continued) 2. Introduction to commutative rings (continued) 2.1. New examples of commutative rings. Recall that in the first lecture we defined the notions of commutative rings and field and gave some examples of

More information

Mathematics 96 (3581) CA 6: Property Identification Mt. San Jacinto College Menifee Valley Campus Spring 2013

Mathematics 96 (3581) CA 6: Property Identification Mt. San Jacinto College Menifee Valley Campus Spring 2013 Mathematics 96 (358) CA 6: Property Identification Mt. San Jacinto College Menifee Valley Campus Spring 203 Name This class addendum is worth a maximum of five (5) points. It is due no later than the end

More information

Bob Brown, CCBC Essex Math 163 College Algebra, Chapter 1 Section 7 COMPLETED 1 Linear, Compound, and Absolute Value Inequalities

Bob Brown, CCBC Essex Math 163 College Algebra, Chapter 1 Section 7 COMPLETED 1 Linear, Compound, and Absolute Value Inequalities Bob Brown, CCBC Essex Math 163 College Algebra, Chapter 1 Section 7 COMPLETED 1 What is the following symbol? < The inequality symbols < > are used to compare two real numbers. The meaning of anyone of

More information

M17 MAT25-21 HOMEWORK 6

M17 MAT25-21 HOMEWORK 6 M17 MAT25-21 HOMEWORK 6 DUE 10:00AM WEDNESDAY SEPTEMBER 13TH 1. To Hand In Double Series. The exercises in this section will guide you to complete the proof of the following theorem: Theorem 1: Absolute

More information

Mathematical Reasoning & Proofs

Mathematical Reasoning & Proofs Mathematical Reasoning & Proofs MAT 1362 Fall 2018 Alistair Savage Department of Mathematics and Statistics University of Ottawa This work is licensed under a Creative Commons Attribution-ShareAlike 4.0

More information

SOME TRANSFINITE INDUCTION DEDUCTIONS

SOME TRANSFINITE INDUCTION DEDUCTIONS SOME TRANSFINITE INDUCTION DEDUCTIONS SYLVIA DURIAN Abstract. This paper develops the ordinal numbers and transfinite induction, then demonstrates some interesting applications of transfinite induction.

More information

MATH 131A: REAL ANALYSIS

MATH 131A: REAL ANALYSIS MATH 131A: REAL ANALYSIS NICKOLAS ANDERSEN The textbook for the course is Ross, Elementary Analysis [2], but in these notes I have also borrowed from Tao, Analysis I [3], and Abbott, Understanding Analysis

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

Proofs. 29th January 2014

Proofs. 29th January 2014 Proofs 29th January 2014 Housekeeping Your solutions to Problem Sheet 2 are due today at the start of class. Please make sure you have your name on them and that you put them in the correct pile! Don t

More information

Math Lecture 3 Notes

Math Lecture 3 Notes Math 1010 - Lecture 3 Notes Dylan Zwick Fall 2009 1 Operations with Real Numbers In our last lecture we covered some basic operations with real numbers like addition, subtraction and multiplication. This

More information

Math From Scratch Lesson 24: The Rational Numbers

Math From Scratch Lesson 24: The Rational Numbers Math From Scratch Lesson 24: The Rational Numbers W. Blaine Dowler May 23, 2012 Contents 1 Defining the Rational Numbers 1 1.1 Defining inverses........................... 2 1.2 Alternative Definition

More information

Sequences. We know that the functions can be defined on any subsets of R. As the set of positive integers

Sequences. We know that the functions can be defined on any subsets of R. As the set of positive integers Sequences We know that the functions can be defined on any subsets of R. As the set of positive integers Z + is a subset of R, we can define a function on it in the following manner. f: Z + R f(n) = a

More information

1.2 Functions What is a Function? 1.2. FUNCTIONS 11

1.2 Functions What is a Function? 1.2. FUNCTIONS 11 1.2. FUNCTIONS 11 1.2 Functions 1.2.1 What is a Function? In this section, we only consider functions of one variable. Loosely speaking, a function is a special relation which exists between two variables.

More information

Tutorial on Axiomatic Set Theory. Javier R. Movellan

Tutorial on Axiomatic Set Theory. Javier R. Movellan Tutorial on Axiomatic Set Theory Javier R. Movellan Intuitively we think of sets as collections of elements. The crucial part of this intuitive concept is that we are willing to treat sets as entities

More information

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1.

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1. Chapter 3 Sequences Both the main elements of calculus (differentiation and integration) require the notion of a limit. Sequences will play a central role when we work with limits. Definition 3.. A Sequence

More information

S15 MA 274: Exam 3 Study Questions

S15 MA 274: Exam 3 Study Questions S15 MA 274: Exam 3 Study Questions You can find solutions to some of these problems on the next page. These questions only pertain to material covered since Exam 2. The final exam is cumulative, so you

More information

Cardinality and ordinal numbers

Cardinality and ordinal numbers Cardinality and ordinal numbers The cardinality A of a finite set A is simply the number of elements in it. When it comes to infinite sets, we no longer can speak of the number of elements in such a set.

More information

Math 328 Course Notes

Math 328 Course Notes Math 328 Course Notes Ian Robertson March 3, 2006 3 Properties of C[0, 1]: Sup-norm and Completeness In this chapter we are going to examine the vector space of all continuous functions defined on the

More information

Lecture 2: Change of Basis

Lecture 2: Change of Basis Math 108 Lecture 2: Change of asis Professor: Padraic artlett Week 2 UCS 2014 On Friday of last week, we asked the following question: given the matrix A, 1 0 is there a quick way to calculate large powers

More information

Quiz 1, Mon CS 2050, Intro Discrete Math for Computer Science

Quiz 1, Mon CS 2050, Intro Discrete Math for Computer Science Quiz 1, Mon 09-6-11 CS 050, Intro Discrete Math for Computer Science This quiz has 10 pages (including this cover page) and 5 Problems: Problems 1,, 3 and 4 are mandatory ( pages each.) Problem 5 is optional,

More information

PEANO AXIOMS FOR THE NATURAL NUMBERS AND PROOFS BY INDUCTION. The Peano axioms

PEANO AXIOMS FOR THE NATURAL NUMBERS AND PROOFS BY INDUCTION. The Peano axioms PEANO AXIOMS FOR THE NATURAL NUMBERS AND PROOFS BY INDUCTION The Peano axioms The following are the axioms for the natural numbers N. You might think of N as the set of integers {0, 1, 2,...}, but it turns

More information

Lecture 16 : Definitions, theorems, proofs. MTH299 Transition to Formal Mathematics Michigan State University 1 / 8

Lecture 16 : Definitions, theorems, proofs. MTH299 Transition to Formal Mathematics Michigan State University 1 / 8 Lecture 16 : Definitions, theorems, proofs MTH299 Transition to Formal Mathematics Michigan State University 1 / 8 Meanings Definition : an explanation of the mathematical meaning of a word. Theorem :

More information

Math 118: Advanced Number Theory. Samit Dasgupta and Gary Kirby

Math 118: Advanced Number Theory. Samit Dasgupta and Gary Kirby Math 8: Advanced Number Theory Samit Dasgupta and Gary Kirby April, 05 Contents Basics of Number Theory. The Fundamental Theorem of Arithmetic......................... The Euclidean Algorithm and Unique

More information

CMSC 27130: Honors Discrete Mathematics

CMSC 27130: Honors Discrete Mathematics CMSC 27130: Honors Discrete Mathematics Lectures by Alexander Razborov Notes by Geelon So, Isaac Friend, Warren Mo University of Chicago, Fall 2016 Lecture 1 (Monday, September 26) 1 Mathematical Induction.................................

More information

MIDTERM REVIEW FOR MATH The limit

MIDTERM REVIEW FOR MATH The limit MIDTERM REVIEW FOR MATH 500 SHUANGLIN SHAO. The limit Define lim n a n = A: For any ε > 0, there exists N N such that for any n N, a n A < ε. The key in this definition is to realize that the choice of

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

Peano Axioms. 1. IfS x S y then x y (we say that S is one to one).

Peano Axioms. 1. IfS x S y then x y (we say that S is one to one). Peano Axioms To present a rigorous introduction to the natural numbers would take us too far afield. We will however, give a short introduction to one axiomatic approach that yields a system that is quite

More information

Mathematical Induction

Mathematical Induction Mathematical Induction MAT231 Transition to Higher Mathematics Fall 2014 MAT231 (Transition to Higher Math) Mathematical Induction Fall 2014 1 / 21 Outline 1 Mathematical Induction 2 Strong Mathematical

More information

NOTES (1) FOR MATH 375, FALL 2012

NOTES (1) FOR MATH 375, FALL 2012 NOTES 1) FOR MATH 375, FALL 2012 1 Vector Spaces 11 Axioms Linear algebra grows out of the problem of solving simultaneous systems of linear equations such as 3x + 2y = 5, 111) x 3y = 9, or 2x + 3y z =

More information

Essential Background for Real Analysis I (MATH 5210)

Essential Background for Real Analysis I (MATH 5210) Background Material 1 Essential Background for Real Analysis I (MATH 5210) Note. These notes contain several definitions, theorems, and examples from Analysis I (MATH 4217/5217) which you must know for

More information

Section 3.1: Definition and Examples (Vector Spaces), Completed

Section 3.1: Definition and Examples (Vector Spaces), Completed Section 3.1: Definition and Examples (Vector Spaces), Completed 1. Examples Euclidean Vector Spaces: The set of n-length vectors that we denoted by R n is a vector space. For simplicity, let s consider

More information

Exercises 1 - Solutions

Exercises 1 - Solutions Exercises 1 - Solutions SAV 2013 1 PL validity For each of the following propositional logic formulae determine whether it is valid or not. If it is valid prove it, otherwise give a counterexample. Note

More information

Research Methods in Mathematics Homework 4 solutions

Research Methods in Mathematics Homework 4 solutions Research Methods in Mathematics Homework 4 solutions T. PERUTZ (1) Solution. (a) Since x 2 = 2, we have (p/q) 2 = 2, so p 2 = 2q 2. By definition, an integer is even if it is twice another integer. Since

More information

Basic Proof Examples

Basic Proof Examples Basic Proof Examples Lisa Oberbroeckling Loyola University Maryland Fall 2015 Note. In this document, we use the symbol as the negation symbol. Thus p means not p. There are four basic proof techniques

More information

Math 31 Lesson Plan. Day 5: Intro to Groups. Elizabeth Gillaspy. September 28, 2011

Math 31 Lesson Plan. Day 5: Intro to Groups. Elizabeth Gillaspy. September 28, 2011 Math 31 Lesson Plan Day 5: Intro to Groups Elizabeth Gillaspy September 28, 2011 Supplies needed: Sign in sheet Goals for students: Students will: Improve the clarity of their proof-writing. Gain confidence

More information

Ron Paul Curriculum Mathematics 8 Lesson List

Ron Paul Curriculum Mathematics 8 Lesson List Ron Paul Curriculum Mathematics 8 Lesson List 1 Introduction 2 Algebraic Addition 3 Algebraic Subtraction 4 Algebraic Multiplication 5 Week 1 Review 6 Algebraic Division 7 Powers and Exponents 8 Order

More information

Climbing an Infinite Ladder

Climbing an Infinite Ladder Section 5.1 Section Summary Mathematical Induction Examples of Proof by Mathematical Induction Mistaken Proofs by Mathematical Induction Guidelines for Proofs by Mathematical Induction Climbing an Infinite

More information

11.1 Vectors in the plane

11.1 Vectors in the plane 11.1 Vectors in the plane What is a vector? It is an object having direction and length. Geometric way to represent vectors It is represented by an arrow. The direction of the arrow is the direction of

More information

n(n + 1). 2 . If n = 3, then 1+2+3=6= 3(3+1) . If n = 2, then = 3 = 2(2+1)

n(n + 1). 2 . If n = 3, then 1+2+3=6= 3(3+1) . If n = 2, then = 3 = 2(2+1) Chapter 4 Induction In this chapter, we introduce mathematical induction, which is a proof technique that is useful for proving statements of the form (8n N)P(n), or more generally (8n Z)(n a =) P(n)),

More information