1.7 Proof Methods and Strategy

Size: px
Start display at page:

Download "1.7 Proof Methods and Strategy"

Transcription

1 1.7 Proof Methods and Strategy Proof Strategies Finding proofs can be difficult. Usual process of proving: Replace terms by their definitions Analyze what the hypothesis and the conclusion mean Try to prove the result by using available methods of proof. FORWARD AND BACKWARD REASONING Independent of your choice of proof, you need a starting point for your proof. If the proof starts with the premises and constructs steps leading to the conclusion, then this type of reasoning is called forward reasoning. When forward reasoning is not working, then backward reasoning can be used. Example14. Given x, y R^{+} with x y, their arithmetic mean is (x+y)/2 and their geometric mean is (xy)^{1/2}. Can we prove that (x+y)/2>(xy)^{1/2}? Solution: Since it is not obvious how to reach the conclusion, we can work backwards-start working on the conclusion and then see if all the steps can be reverted. If the steps are revertible (equivalent), we can construct a forward reasoning. ADAPTING EXISTING PROOFS Existing proofs can be adapted to prove a new result or some of the ideas used in existing proofs can be helpful. Looking for Counterexamples A conjuncture ends up either with a proof or with a counterexample. In any case looking for counterexamples is extremely important. It provides insights into the problems. Example17. Every positive integer is the sum of the squares of two integers is proven to be false by a counterexample. Now what about Every positive integer is the sum of the squares of three integers? Solution: the first thing we would like to do is to check it for some integers to see if it is going to tend to be true or if we see one counterexample. (Check it until n=7). 1

2 What about Every positive integer is the sum of the squares of four integers? It is true. Proof Strategy in Action Usual mathematics texts formally present theorems and their proofs. Such presentations do not reveal the discovery process in mathematics. This process begins with exploring concepts and examples, asking questions, formulating conjunctures, and attempting settle these conjunctures either by proof or by counterexample. Conjunctures are formulated on the basis of many types of possible evidence. Once a conjuncture is formulated, people will look for a proof or for a counterexample. The Role of Open Problems Famous unsolved problems lead to advances in mathematics. Quote: As long as a branch of science offers an abundance of problems, so long is it alive; a lack of problems foreshadows extinction or the cessation of independent development. Theorem 1 Fermat s Last Theorem The equation x^{n}+ y^{n}=z^{n} has no solutions in x, y, z N with xyz 0 and n N with n>2. Remark: The equation x^{2}+ y^{2}=z^{2} has infinitely many solutions in x, y, z N with xyz 0. These solutions are called Pythagorean triples and correspond to the lengths of the sides of right triangles with integer length. Andrew Wiles has proven the Fermat s Last Theorem using the recently developed theory of elliptic curves of number theory. Example 23. The 3x+1 Conjuncture Let T be the transformation that sends an even integer x to x/2 and an odd integer x to 3x+1. The 3x+1 Conjuncture states that all positive integers x, when we repeatedly apply the transformation T, we will eventually reach the integer 1. For example x=13. This conjuncture has been verified for all integers x up to 5.6x10^{13}. 2

3 Additional Proof Methods In this chapter we have introduced the basic methods used in proofs. Note that we have not given a procedure that can be used to prove theorems in mathematics. Such a procedure is not existent! Chapter 2 Basic Structures: Sets, Functions, Sequences, and Sums 2.1 Sets Introduction In this section we study the set fundamental discrete structure on which all other discrete structures are built. Definition 1 A set is an unordered collection of objects. We will use Cantor s original version of set theory naive set theory. Definition 2 The objects in a set are called the elements, or members, of the set. A set is said to contain its elements. Notation: a A denotes that a is an element of the set A. Another way to describe a set is to use set builder notation. We characterize all elements in the set by stating the property they must have to be members. Important sets: N={0, 1, 2, 3, }- the set of natural numbers, Z={,-3,-2,-1, 0, 1, 2, 3, }- the set of integers Z^{+}={1, 2, 3, }- the set of positive integers, Q={x x=p/q and p, q Z with q 0} - the set of rational numbers, Q^{+}={x x=p/q and p, q Z^{+} } - the set of positive rational numbers, R, the set of real numbers. 3

4 Remark: Note that the concept of a datatype, or a type in computer science is built upon the concept of a set. Definition 3 Two sets are equal if and only if they have the same elements. That is, if A and B are sets, then A and B are equal if and only if x(x A x B). We write A=B, if A and B are equal sets. Example 6. The sets {1,3,5} and {5,3,1} are equal- they have the same elements. Definition 4 The set A is said to be a subset of B if and only if every element of A is also an element of B. We use the notation A B to indicate that A is a subset of the set B. Note that A B x(x A x B). Theorem 1 For every set S, (i) S and (ii) S S. Proof is straightforward by the Definition 4. When we wish to emphasize that a set A is a subset of B but that A B, we write A B and we say that A is a proper subset (real subset) of B. Note that A B x(x A x B) x(x B x A); A=B (A B) (B A) or "x(x A«x B) ( x(x A x B)) ( x(x B x A)). Sets may have other sets as members. A={, {a}, {b}, {a, b}} and B={x x is a subset of the set {a, b}}. Obviously A=B. 4

5 Definition 5-6 Let S be a set. If there are exactly n distinct elements in S where n is a nonnegative integer, we say that S is a finite set and that n is the cardinality of S. The cardinality of S denoted by S. A set is said to be infinite if it is not finite. Example 10. Let S be the set of letters in the English alphabet. Then S =26. Example 12. The set of positive integers Z^{+}={1, 2, 3, } is infinite. The Power Set Definition 7 Given a set S, the power set of S is the set of all subsets of the set S. The power set of S denoted by P(S). Example 13 What is the power set of the set {0,1,2}? Note that the empty set and the set itself are members of this set of subsets. Example 14 What is the power set of the empty set? What is the power set of the set { }? Solution: The empty set has exactly one subset. Consequently P( )(={, })={ }. The set { } has exactly two subsets, the empty set { } and itself { }. Therefore P({ })={, { }}. 5

1.7 Proof Methods and Strategy

1.7 Proof Methods and Strategy 1.7 Proof Methods and Strategy Introduction We will introduce several other important proof methods: Proofs where we consider different cases separately, Proofs where we prove the existence of objects

More information

CSI30. Chapter 2. Basic Structures: Sets, Functions, Sequences, Sums. 2.1 Sets and subsets 2.2 Sets of sets

CSI30. Chapter 2. Basic Structures: Sets, Functions, Sequences, Sums. 2.1 Sets and subsets 2.2 Sets of sets Chapter 2. Basic Structures: Sets, Functions, Sequences, Sums 2.1 Sets and subsets 2.2 Sets of sets 1 Set is an unordered collection of objects. - used to group objects together, - often the objects with

More information

Announcements. Read Section 2.1 (Sets), 2.2 (Set Operations) and 5.1 (Mathematical Induction) Existence Proofs. Non-constructive

Announcements. Read Section 2.1 (Sets), 2.2 (Set Operations) and 5.1 (Mathematical Induction) Existence Proofs. Non-constructive Announcements Homework 2 Due Homework 3 Posted Due next Monday Quiz 2 on Wednesday Read Section 2.1 (Sets), 2.2 (Set Operations) and 5.1 (Mathematical Induction) Exam 1 in two weeks Monday, February 19

More information

Sec$on Summary. Definition of sets Describing Sets

Sec$on Summary. Definition of sets Describing Sets Section 2.1 Sec$on Summary Definition of sets Describing Sets Roster Method Set-Builder Notation Some Important Sets in Mathematics Empty Set and Universal Set Subsets and Set Equality Cardinality of Sets

More information

MTHSC 3190 Section 2.9 Sets a first look

MTHSC 3190 Section 2.9 Sets a first look MTHSC 3190 Section 2.9 Sets a first look Definition A set is a repetition free unordered collection of objects called elements. Definition A set is a repetition free unordered collection of objects called

More information

With Question/Answer Animations. Chapter 2

With Question/Answer Animations. Chapter 2 With Question/Answer Animations Chapter 2 Chapter Summary Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Sequences and Summations Types of

More information

CHMC: Finite Fields 9/23/17

CHMC: Finite Fields 9/23/17 CHMC: Finite Fields 9/23/17 1 Introduction This worksheet is an introduction to the fascinating subject of finite fields. Finite fields have many important applications in coding theory and cryptography,

More information

Sets are one of the basic building blocks for the types of objects considered in discrete mathematics.

Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. Section 2.1 Introduction Sets are one of the basic building blocks for the types of objects considered in discrete mathematics. Important for counting. Programming languages have set operations. Set theory

More information

Final Exam Review. 2. Let A = {, { }}. What is the cardinality of A? Is

Final Exam Review. 2. Let A = {, { }}. What is the cardinality of A? Is 1. Describe the elements of the set (Z Q) R N. Is this set countable or uncountable? Solution: The set is equal to {(x, y) x Z, y N} = Z N. Since the Cartesian product of two denumerable sets is denumerable,

More information

Fermat s Last Theorem

Fermat s Last Theorem Fermat s Last Theorem T. Muthukumar tmk@iitk.ac.in 0 Jun 014 An ancient result states that a triangle with vertices A, B and C with lengths AB = a, BC = b and AC = c is right angled at B iff a + b = c.

More information

Introduction: Pythagorean Triplets

Introduction: Pythagorean Triplets Introduction: Pythagorean Triplets On this first day I want to give you an idea of what sorts of things we talk about in number theory. In number theory we want to study the natural numbers, and in particular

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I ICS141: Discrete Mathematics for Computer Science I Dept. Information & Computer Sci., Jan Stelovsky based on slides by Dr. Baek and Dr. Still Originals by Dr. M. P. Frank and Dr. J.L. Gross Provided by

More information

Elliptic Curves: An Introduction

Elliptic Curves: An Introduction Elliptic Curves: An Introduction Adam Block December 206 Introduction The goal of the following paper will be to explain some of the history of and motivation for elliptic curves, to provide examples and

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

Chapter Summary. Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability

Chapter Summary. Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability Chapter 2 1 Chapter Summary Sets The Language of Sets Set Operations Set Identities Functions Types of Functions Operations on Functions Computability Sequences and Summations Types of Sequences Summation

More information

Normal Forms Note: all ppts about normal forms are skipped.

Normal Forms Note: all ppts about normal forms are skipped. Normal Forms Note: all ppts about normal forms are skipped. Well formed formula (wff) also called formula, is a string consists of propositional variables, connectives, and parenthesis used in the proper

More information

Sets. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Fall 2007

Sets. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Fall 2007 Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Fall 2007 1 / 42 Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 2.1, 2.2 of Rosen Introduction I Introduction

More information

Sets. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006

Sets. Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry. Spring 2006 Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Spring 2006 1 / 1 Computer Science & Engineering 235 Introduction to Discrete Mathematics Sections 1.6 1.7 of Rosen Introduction I We ve already

More information

Chapter Summary. Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2.

Chapter Summary. Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2. Chapter 2 Chapter Summary Sets (2.1) Set Operations (2.2) Functions (2.3) Sequences and Summations (2.4) Cardinality of Sets (2.5) Matrices (2.6) Section 2.1 Section Summary Definition of sets Describing

More information

Ch 3.2: Direct proofs

Ch 3.2: Direct proofs Math 299 Lectures 8 and 9: Chapter 3 0. Ch3.1 A trivial proof and a vacuous proof (Reading assignment) 1. Ch3.2 Direct proofs 2. Ch3.3 Proof by contrapositive 3. Ch3.4 Proof by cases 4. Ch3.5 Proof evaluations

More information

A set is an unordered collection of objects.

A set is an unordered collection of objects. Section 2.1 Sets A set is an unordered collection of objects. the students in this class the chairs in this room The objects in a set are called the elements, or members of the set. A set is said to contain

More information

Discrete Mathematics: Lectures 6 and 7 Sets, Relations, Functions and Counting Instructor: Arijit Bishnu Date: August 4 and 6, 2009

Discrete Mathematics: Lectures 6 and 7 Sets, Relations, Functions and Counting Instructor: Arijit Bishnu Date: August 4 and 6, 2009 Discrete Mathematics: Lectures 6 and 7 Sets, Relations, Functions and Counting Instructor: Arijit Bishnu Date: August 4 and 6, 2009 Our main goal is here is to do counting using functions. For that, we

More information

2. Sets. 2.1&2.2: Sets and Subsets. Combining Sets. c Dr Oksana Shatalov, Spring

2. Sets. 2.1&2.2: Sets and Subsets. Combining Sets. c Dr Oksana Shatalov, Spring c Dr Oksana Shatalov, Spring 2015 1 2. Sets 2.1&2.2: Sets and Subsets. Combining Sets. Set Terminology and Notation DEFINITIONS: Set is well-defined collection of objects. Elements are objects or members

More information

A Readable Introduction to Real Mathematics

A Readable Introduction to Real Mathematics Solutions to selected problems in the book A Readable Introduction to Real Mathematics D. Rosenthal, D. Rosenthal, P. Rosenthal Chapter 10: Sizes of Infinite Sets 1. Show that the set of all polynomials

More information

Theorem. For every positive integer n, the sum of the positive integers from 1 to n is n(n+1)

Theorem. For every positive integer n, the sum of the positive integers from 1 to n is n(n+1) Week 1: Logic Lecture 1, 8/1 (Sections 1.1 and 1.3) Examples of theorems and proofs Theorem (Pythagoras). Let ABC be a right triangle, with legs of lengths a and b, and hypotenuse of length c. Then a +

More information

Introduction to Arithmetic Geometry

Introduction to Arithmetic Geometry Introduction to Arithmetic Geometry 18.782 Andrew V. Sutherland September 5, 2013 What is arithmetic geometry? Arithmetic geometry applies the techniques of algebraic geometry to problems in number theory

More information

586 Index. vertex, 369 disjoint, 236 pairwise, 272, 395 disjoint sets, 236 disjunction, 33, 36 distributive laws

586 Index. vertex, 369 disjoint, 236 pairwise, 272, 395 disjoint sets, 236 disjunction, 33, 36 distributive laws Index absolute value, 135 141 additive identity, 254 additive inverse, 254 aleph, 465 algebra of sets, 245, 278 antisymmetric relation, 387 arcsine function, 349 arithmetic sequence, 208 arrow diagram,

More information

Math 3361-Modern Algebra Lecture 08 9/26/ Cardinality

Math 3361-Modern Algebra Lecture 08 9/26/ Cardinality Math 336-Modern Algebra Lecture 08 9/26/4. Cardinality I started talking about cardinality last time, and you did some stuff with it in the Homework, so let s continue. I said that two sets have the same

More information

1 Implication and induction

1 Implication and induction 1 Implication and induction This chapter is about various kinds of argument which are used in mathematical proofs. When you have completed it, you should know what is meant by implication and equivalence,

More information

Some Highlights along a Path to Elliptic Curves

Some Highlights along a Path to Elliptic Curves 11/8/016 Some Highlights along a Path to Elliptic Curves Part : Conic Sections and Rational Points Steven J Wilson, Fall 016 Outline of the Series 1 The World of Algebraic Curves Conic Sections and Rational

More information

MAS114: Exercises. October 26, 2018

MAS114: Exercises. October 26, 2018 MAS114: Exercises October 26, 2018 Note that the challenge problems are intended to be difficult! Doing any of them is an achievement. Please hand them in on a separate piece of paper if you attempt them.

More information

= 5 2 and = 13 2 and = (1) = 10 2 and = 15 2 and = 25 2

= 5 2 and = 13 2 and = (1) = 10 2 and = 15 2 and = 25 2 BEGINNING ALGEBRAIC NUMBER THEORY Fermat s Last Theorem is one of the most famous problems in mathematics. Its origin can be traced back to the work of the Greek mathematician Diophantus (third century

More information

CHAPTER V Fermat s last theorem

CHAPTER V Fermat s last theorem 5.1 Introduction. CHAPTER V Fermat s last theorem We discuss elementary methods approaches to Fermat s last theorem, in which the game is we do not use complex numbers. In this chapter we use methods available

More information

Discrete Basic Structure: Sets

Discrete Basic Structure: Sets KS091201 MATEMATIKA DISKRIT (DISCRETE MATHEMATICS ) Discrete Basic Structure: Sets Discrete Math Team 2 -- KS091201 MD W-07 Outline What is a set? Set properties Specifying a set Often used sets The universal

More information

Web Solutions for How to Read and Do Proofs

Web Solutions for How to Read and Do Proofs Web Solutions for How to Read and Do Proofs An Introduction to Mathematical Thought Processes Sixth Edition Daniel Solow Department of Operations Weatherhead School of Management Case Western Reserve University

More information

1 The distributive law

1 The distributive law THINGS TO KNOW BEFORE GOING INTO DISCRETE MATHEMATICS The distributive law The distributive law is this: a(b + c) = ab + bc This can be generalized to any number of terms between parenthesis; for instance:

More information

In this initial chapter, you will be introduced to, or more than likely be reminded of, a

In this initial chapter, you will be introduced to, or more than likely be reminded of, a 1 Sets In this initial chapter, you will be introduced to, or more than likely be reminded of, a fundamental idea that occurs throughout mathematics: sets. Indeed, a set is an object from which every mathematical

More information

One-to-one functions and onto functions

One-to-one functions and onto functions MA 3362 Lecture 7 - One-to-one and Onto Wednesday, October 22, 2008. Objectives: Formalize definitions of one-to-one and onto One-to-one functions and onto functions At the level of set theory, there are

More information

D-MATH Algebra I HS18 Prof. Rahul Pandharipande. Solution 1. Arithmetic, Zorn s Lemma.

D-MATH Algebra I HS18 Prof. Rahul Pandharipande. Solution 1. Arithmetic, Zorn s Lemma. D-MATH Algebra I HS18 Prof. Rahul Pandharipande Solution 1 Arithmetic, Zorn s Lemma. 1. (a) Using the Euclidean division, determine gcd(160, 399). (b) Find m 0, n 0 Z such that gcd(160, 399) = 160m 0 +

More information

Elliptic Curves & Number Theory. R. Sujatha School of Mathematics TIFR

Elliptic Curves & Number Theory. R. Sujatha School of Mathematics TIFR Elliptic Curves & Number Theory R. Sujatha School of Mathematics TIFR Aim: To explain the connection between a simple ancient problem in number theory and a deep sophisticated conjecture about Elliptic

More information

About This Document. MTH299 - Examples Weeks 1-6; updated on January 5, 2018

About This Document. MTH299 - Examples Weeks 1-6; updated on January 5, 2018 About This Document This is the examples document for MTH 299. Basically it is a loosely organized universe of questions (examples) that we think are interesting, helpful, useful for practice, and serve

More information

2.1 Sets. Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R.

2.1 Sets. Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R. 2. Basic Structures 2.1 Sets Definition 1 A set is an unordered collection of objects. Important sets: N, Z, Z +, Q, R. Definition 2 Objects in a set are called elements or members of the set. A set is

More information

CSE 20 DISCRETE MATH WINTER

CSE 20 DISCRETE MATH WINTER CSE 20 DISCRETE MATH WINTER 2016 http://cseweb.ucsd.edu/classes/wi16/cse20-ab/ Today's learning goals Evaluate which proof technique(s) is appropriate for a given proposition Direct proof Proofs by contraposition

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

CSE 20 DISCRETE MATH SPRING

CSE 20 DISCRETE MATH SPRING CSE 20 DISCRETE MATH SPRING 2016 http://cseweb.ucsd.edu/classes/sp16/cse20-ac/ Today's learning goals Evaluate which proof technique(s) is appropriate for a given proposition Direct proof Proofs by contraposition

More information

MATH CSE20 Homework 5 Due Monday November 4

MATH CSE20 Homework 5 Due Monday November 4 MATH CSE20 Homework 5 Due Monday November 4 Assigned reading: NT Section 1 (1) Prove the statement if true, otherwise find a counterexample. (a) For all natural numbers x and y, x + y is odd if one of

More information

Preparing for the CS 173 (A) Fall 2018 Midterm 1

Preparing for the CS 173 (A) Fall 2018 Midterm 1 Preparing for the CS 173 (A) Fall 2018 Midterm 1 1 Basic information Midterm 1 is scheduled from 7:15-8:30 PM. We recommend you arrive early so that you can start exactly at 7:15. Exams will be collected

More information

Definitions Chapter 1 Proof Technique (Pg.1): Proof (Pg.2): Statement (Pg.2): Conditional Statement/Implication (Pg3.): Hypothesis(Pg.

Definitions Chapter 1 Proof Technique (Pg.1): Proof (Pg.2): Statement (Pg.2): Conditional Statement/Implication (Pg3.): Hypothesis(Pg. Definitions Chapter 1 Proof Technique (Pg.1): Any method for proving that the statement A implies B is true. Proof (Pg.2): A convincing argument expressed in the language of mathematics that a statement

More information

Packet #2: Set Theory & Predicate Calculus. Applied Discrete Mathematics

Packet #2: Set Theory & Predicate Calculus. Applied Discrete Mathematics CSC 224/226 Notes Packet #2: Set Theory & Predicate Calculus Barnes Packet #2: Set Theory & Predicate Calculus Applied Discrete Mathematics Table of Contents Full Adder Information Page 1 Predicate Calculus

More information

Finite and Infinite Sets

Finite and Infinite Sets Chapter 9 Finite and Infinite Sets 9. Finite Sets Preview Activity (Equivalent Sets, Part ). Let A and B be sets and let f be a function from A to B..f W A! B/. Carefully complete each of the following

More information

Propositional Logic, Predicates, and Equivalence

Propositional Logic, Predicates, and Equivalence Chapter 1 Propositional Logic, Predicates, and Equivalence A statement or a proposition is a sentence that is true (T) or false (F) but not both. The symbol denotes not, denotes and, and denotes or. If

More information

ELLIPTIC CURVES BJORN POONEN

ELLIPTIC CURVES BJORN POONEN ELLIPTIC CURVES BJORN POONEN 1. Introduction The theme of this lecture is to show how geometry can be used to understand the rational number solutions to a polynomial equation. We will illustrate this

More information

2.1 Affine and Projective Coordinates

2.1 Affine and Projective Coordinates 1 Introduction Depending how you look at them, elliptic curves can be deceptively simple. Using one of the easier definitions, we are just looking at points (x,y) that satisfy a cubic equation, something

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

CONGRUENT NUMBERS AND ELLIPTIC CURVES

CONGRUENT NUMBERS AND ELLIPTIC CURVES CONGRUENT NUMBERS AND ELLIPTIC CURVES JIM BROWN Abstract. In this short paper we consider congruent numbers and how they give rise to elliptic curves. We will begin with very basic notions before moving

More information

Grade 11/12 Math Circles Congruent Number Problem Dr. Carmen Bruni October 28, 2015

Grade 11/12 Math Circles Congruent Number Problem Dr. Carmen Bruni October 28, 2015 Faculty of Mathematics Waterloo, Ontario N2L 3G1 Number Theory Grade 11/12 Math Circles Congruent Number Problem Dr. Carmen Bruni October 28, 2015 Centre for Education in Mathematics and Computing Number

More information

Discrete Mathematical Structures: Theory and Applications

Discrete Mathematical Structures: Theory and Applications Chapter 1: Foundations: Sets, Logic, and Algorithms Discrete Mathematical Structures: Theory and Applications Learning Objectives Learn about sets Explore various operations on sets Become familiar with

More information

UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION B Sc (MATHEMATICS) I Semester Core Course. FOUNDATIONS OF MATHEMATICS (MODULE I & ii) QUESTION BANK

UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION B Sc (MATHEMATICS) I Semester Core Course. FOUNDATIONS OF MATHEMATICS (MODULE I & ii) QUESTION BANK UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION B Sc (MATHEMATICS) (2011 Admission Onwards) I Semester Core Course FOUNDATIONS OF MATHEMATICS (MODULE I & ii) QUESTION BANK 1) If A and B are two sets

More information

The Foundations: Logic and Proofs. Chapter 1, Part III: Proofs

The Foundations: Logic and Proofs. Chapter 1, Part III: Proofs The Foundations: Logic and Proofs Chapter 1, Part III: Proofs Summary Valid Arguments and Rules of Inference Proof Methods Proof Strategies Rules of Inference Section 1.6 Section Summary Valid Arguments

More information

Lesson 7: Algebraic Expressions The Commutative and Associative Properties

Lesson 7: Algebraic Expressions The Commutative and Associative Properties : Algebraic Expressions The Commutative and Associative Properties Four Properties of Arithmetic: The Commutative Property of Addition: If a and b are real numbers, then a + b = b + a. The Associative

More information

Intro to Logic and Proofs

Intro to Logic and Proofs Intro to Logic and Proofs Propositions A proposition is a declarative sentence (that is, a sentence that declares a fact) that is either true or false, but not both. Examples: It is raining today. Washington

More information

This is logically equivalent to the conjunction of the positive assertion Minimal Arithmetic and Representability

This is logically equivalent to the conjunction of the positive assertion Minimal Arithmetic and Representability 16.2. MINIMAL ARITHMETIC AND REPRESENTABILITY 207 If T is a consistent theory in the language of arithmetic, we say a set S is defined in T by D(x) if for all n, if n is in S, then D(n) is a theorem of

More information

Polynomials. In many problems, it is useful to write polynomials as products. For example, when solving equations: Example:

Polynomials. In many problems, it is useful to write polynomials as products. For example, when solving equations: Example: Polynomials Monomials: 10, 5x, 3x 2, x 3, 4x 2 y 6, or 5xyz 2. A monomial is a product of quantities some of which are unknown. Polynomials: 10 + 5x 3x 2 + x 3, or 4x 2 y 6 + 5xyz 2. A polynomial is a

More information

Vector Spaces. Chapter 1

Vector Spaces. Chapter 1 Chapter 1 Vector Spaces Linear algebra is the study of linear maps on finite-dimensional vector spaces. Eventually we will learn what all these terms mean. In this chapter we will define vector spaces

More information

Show Your Work! Point values are in square brackets. There are 35 points possible. Tables of tautologies and contradictions are on the last page.

Show Your Work! Point values are in square brackets. There are 35 points possible. Tables of tautologies and contradictions are on the last page. Formal Methods Midterm 1, Spring, 2007 Name Show Your Work! Point values are in square brackets. There are 35 points possible. Tables of tautologies and contradictions are on the last page. 1. Use truth

More information

1. SET 10/9/2013. Discrete Mathematics Fajrian Nur Adnan, M.CS

1. SET 10/9/2013. Discrete Mathematics Fajrian Nur Adnan, M.CS 1. SET 10/9/2013 Discrete Mathematics Fajrian Nur Adnan, M.CS 1 Discrete Mathematics 1. Set and Logic 2. Relation 3. Function 4. Induction 5. Boolean Algebra and Number Theory MID 6. Graf dan Tree/Pohon

More information

Section Summary. Sequences. Recurrence Relations. Summations. Examples: Geometric Progression, Arithmetic Progression. Example: Fibonacci Sequence

Section Summary. Sequences. Recurrence Relations. Summations. Examples: Geometric Progression, Arithmetic Progression. Example: Fibonacci Sequence Section 2.4 Section Summary Sequences. Examples: Geometric Progression, Arithmetic Progression Recurrence Relations Example: Fibonacci Sequence Summations Introduction Sequences are ordered lists of elements.

More information

Chapter-2 SETS In Mathematics, Set theory was developed by George Cantor ( ).

Chapter-2 SETS In Mathematics, Set theory was developed by George Cantor ( ). Chapter-2 SETS In Mathematics, Set theory was developed by George Cantor (1845 1918). Set: A well defined collections of objects is called a Set. Well defined means that (i) (ii) All the objects in the

More information

Example ( x.(p(x) Q(x))) ( x.p(x) x.q(x)) premise. 2. ( x.(p(x) Q(x))) -elim, 1 3. ( x.p(x) x.q(x)) -elim, x. P(x) x.

Example ( x.(p(x) Q(x))) ( x.p(x) x.q(x)) premise. 2. ( x.(p(x) Q(x))) -elim, 1 3. ( x.p(x) x.q(x)) -elim, x. P(x) x. Announcements CS311H: Discrete Mathematics More Logic Intro to Proof Techniques Homework due next lecture Instructor: Işıl Dillig Instructor: Işıl Dillig, CS311H: Discrete Mathematics More Logic Intro

More information

Mathmatics 239 solutions to Homework for Chapter 2

Mathmatics 239 solutions to Homework for Chapter 2 Mathmatics 239 solutions to Homework for Chapter 2 Old version of 8.5 My compact disc player has space for 5 CDs; there are five trays numbered 1 through 5 into which I load the CDs. I own 100 CDs. a)

More information

chapter 12 MORE MATRIX ALGEBRA 12.1 Systems of Linear Equations GOALS

chapter 12 MORE MATRIX ALGEBRA 12.1 Systems of Linear Equations GOALS chapter MORE MATRIX ALGEBRA GOALS In Chapter we studied matrix operations and the algebra of sets and logic. We also made note of the strong resemblance of matrix algebra to elementary algebra. The reader

More information

Number Theory. Jason Filippou UMCP. ason Filippou UMCP)Number Theory History & Definitions / 1

Number Theory. Jason Filippou UMCP. ason Filippou UMCP)Number Theory History & Definitions / 1 Number Theory Jason Filippou CMSC250 @ UMCP 06-08-2016 ason Filippou (CMSC250 @ UMCP)Number Theory History & Definitions 06-08-2016 1 / 1 Outline ason Filippou (CMSC250 @ UMCP)Number Theory History & Definitions

More information

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes These notes form a brief summary of what has been covered during the lectures. All the definitions must be memorized and understood. Statements

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

Shi Feng Sheng Danny Wong

Shi Feng Sheng Danny Wong Exhibit C A Proof of the Fermat s Last Theorem Shi Feng Sheng Danny Wong Abstract: Prior to the Diophantine geometry, number theory (or arithmetic) was to study the patterns of the numbers and elementary

More information

Section Summary. Proof by Cases Existence Proofs

Section Summary. Proof by Cases Existence Proofs Section 1.8 1 Section Summary Proof by Cases Existence Proofs Constructive Nonconstructive Disproof by Counterexample Uniqueness Proofs Proving Universally Quantified Assertions Proof Strategies sum up

More information

CS 173: Discrete Structures. Eric Shaffer Office Hour: Wed. 1-2, 2215 SC

CS 173: Discrete Structures. Eric Shaffer Office Hour: Wed. 1-2, 2215 SC CS 173: Discrete Structures Eric Shaffer Office Hour: Wed. 1-2, 2215 SC shaffer1@illinois.edu Agenda Sets (sections 2.1, 2.2) 2 Set Theory Sets you should know: Notation you should know: 3 Set Theory -

More information

a factors The exponential 0 is a special case. If b is any nonzero real number, then

a factors The exponential 0 is a special case. If b is any nonzero real number, then 0.1 Exponents The expression x a is an exponential expression with base x and exponent a. If the exponent a is a positive integer, then the expression is simply notation that counts how many times the

More information

Fundamentals of Pure Mathematics - Problem Sheet

Fundamentals of Pure Mathematics - Problem Sheet Fundamentals of Pure Mathematics - Problem Sheet ( ) = Straightforward but illustrates a basic idea (*) = Harder Note: R, Z denote the real numbers, integers, etc. assumed to be real numbers. In questions

More information

Definition: Let S and T be sets. A binary relation on SxT is any subset of SxT. A binary relation on S is any subset of SxS.

Definition: Let S and T be sets. A binary relation on SxT is any subset of SxT. A binary relation on S is any subset of SxS. 4 Functions Before studying functions we will first quickly define a more general idea, namely the notion of a relation. A function turns out to be a special type of relation. Definition: Let S and T be

More information

Sets. your school. A group of odd natural numbers less than 25.

Sets. your school. A group of odd natural numbers less than 25. 1 Sets The set theory was developed by German Mathematician Georg Cantor (1845-1918). He first encountered sets while working on problems on trigonometric series. This concept is used in every branch of

More information

1.3 Algebraic Expressions. Copyright Cengage Learning. All rights reserved.

1.3 Algebraic Expressions. Copyright Cengage Learning. All rights reserved. 1.3 Algebraic Expressions Copyright Cengage Learning. All rights reserved. Objectives Adding and Subtracting Polynomials Multiplying Algebraic Expressions Special Product Formulas Factoring Common Factors

More information

LECTURE 1: DIVISIBILITY. 1. Introduction Number theory concerns itself with studying the multiplicative and additive structure of the natural numbers

LECTURE 1: DIVISIBILITY. 1. Introduction Number theory concerns itself with studying the multiplicative and additive structure of the natural numbers LECTURE 1: DIVISIBILITY 1. Introduction Number theory concerns itself with studying the multiplicative and additive structure of the natural numbers N = {1, 2, 3,... }. Frequently, number theoretic questions

More information

8. Reductio ad absurdum

8. Reductio ad absurdum 8. Reductio ad absurdum 8.1 A historical example In his book, The Two New Sciences, 10 Galileo Galilea (1564-1642) gives several arguments meant to demonstrate that there can be no such thing as actual

More information

Review 1. Andreas Klappenecker

Review 1. Andreas Klappenecker Review 1 Andreas Klappenecker Summary Propositional Logic, Chapter 1 Predicate Logic, Chapter 1 Proofs, Chapter 1 Sets, Chapter 2 Functions, Chapter 2 Sequences and Sums, Chapter 2 Asymptotic Notations,

More information

24/10/ Dr Ray Adams

24/10/ Dr Ray Adams Fermat s Conjecture 24/10/2017 1 Dr Ray Adams Fermat s Conjecture 24/10/2017 2 Dr Ray Adams Fermat s Conjecture 24/10/2017 3 Dr Ray Adams Fermat s Conjecture 24/10/2017 4 Dr Ray Adams Fermat s Conjecture

More information

For all For every For each For any There exists at least one There exists There is Some

For all For every For each For any There exists at least one There exists There is Some Section 1.3 Predicates and Quantifiers Assume universe of discourse is all the people who are participating in this course. Also let us assume that we know each person in the course. Consider the following

More information

Elliptic Curves and Mordell s Theorem

Elliptic Curves and Mordell s Theorem Elliptic Curves and Mordell s Theorem Aurash Vatan, Andrew Yao MIT PRIMES December 16, 2017 Diophantine Equations Definition (Diophantine Equations) Diophantine Equations are polynomials of two or more

More information

Handout on Logic, Axiomatic Methods, and Proofs MATH Spring David C. Royster UNC Charlotte

Handout on Logic, Axiomatic Methods, and Proofs MATH Spring David C. Royster UNC Charlotte Handout on Logic, Axiomatic Methods, and Proofs MATH 3181 001 Spring 1999 David C. Royster UNC Charlotte January 18, 1999 Chapter 1 Logic and the Axiomatic Method 1.1 Introduction Mathematicians use a

More information

Ritangle - an A Level Maths Competition 2016

Ritangle - an A Level Maths Competition 2016 Ritangle - an A Level Maths Competition 2016 Questions and Answers - 12-12-16 A. The Taster Questions Answer: this sequence cycles. The first eight terms are, r, i, t, a, n, g, l, e, 1 while the ninth

More information

Unit 2, Ongoing Activity, Little Black Book of Algebra II Properties

Unit 2, Ongoing Activity, Little Black Book of Algebra II Properties Unit 2, Ongoing Activity, Little Black Book of Algebra II Properties Little Black Book of Algebra II Properties Unit 2 - Polynomial Equations & Inequalities 2.1 Laws of Exponents - record the rules for

More information

Axiomatic set theory. Chapter Why axiomatic set theory?

Axiomatic set theory. Chapter Why axiomatic set theory? Chapter 1 Axiomatic set theory 1.1 Why axiomatic set theory? Essentially all mathematical theories deal with sets in one way or another. In most cases, however, the use of set theory is limited to its

More information

Handout #6 INTRODUCTION TO ALGEBRAIC STRUCTURES: Prof. Moseley AN ALGEBRAIC FIELD

Handout #6 INTRODUCTION TO ALGEBRAIC STRUCTURES: Prof. Moseley AN ALGEBRAIC FIELD Handout #6 INTRODUCTION TO ALGEBRAIC STRUCTURES: Prof. Moseley Chap. 2 AN ALGEBRAIC FIELD To introduce the notion of an abstract algebraic structure we consider (algebraic) fields. (These should not to

More information

Mathematics Foundation for College. Lesson Number 1. Lesson Number 1 Page 1

Mathematics Foundation for College. Lesson Number 1. Lesson Number 1 Page 1 Mathematics Foundation for College Lesson Number 1 Lesson Number 1 Page 1 Lesson Number 1 Topics to be Covered in this Lesson Sets, number systems, axioms, arithmetic operations, prime numbers and divisibility,

More information

ADVANCED CALCULUS - MTH433 LECTURE 4 - FINITE AND INFINITE SETS

ADVANCED CALCULUS - MTH433 LECTURE 4 - FINITE AND INFINITE SETS ADVANCED CALCULUS - MTH433 LECTURE 4 - FINITE AND INFINITE SETS 1. Cardinal number of a set The cardinal number (or simply cardinal) of a set is a generalization of the concept of the number of elements

More information

Lecture Notes 1 Basic Concepts of Mathematics MATH 352

Lecture Notes 1 Basic Concepts of Mathematics MATH 352 Lecture Notes 1 Basic Concepts of Mathematics MATH 352 Ivan Avramidi New Mexico Institute of Mining and Technology Socorro, NM 87801 June 3, 2004 Author: Ivan Avramidi; File: absmath.tex; Date: June 11,

More information

Solutions, Project on p-adic Numbers, Real Analysis I, Fall, 2010.

Solutions, Project on p-adic Numbers, Real Analysis I, Fall, 2010. Solutions, Project on p-adic Numbers, Real Analysis I, Fall, 2010. (24) The p-adic numbers. Let p {2, 3, 5, 7, 11,... } be a prime number. (a) For x Q, define { 0 for x = 0, x p = p n for x = p n (a/b),

More information

Contribution of Problems

Contribution of Problems Exam topics 1. Basic structures: sets, lists, functions (a) Sets { }: write all elements, or define by condition (b) Set operations: A B, A B, A\B, A c (c) Lists ( ): Cartesian product A B (d) Functions

More information

Disjunction/Conjunction Normal Form

Disjunction/Conjunction Normal Form Normal Forms Well formed formula (wff) also called formula, is a string consists of propositional variables, connectives, and parenthesis used in the proper manner. E.g. ((p q) ( p r)) pq r is a disjunction

More information

CSC 7101: Programming Language Structures 1. Axiomatic Semantics. Stansifer Ch 2.4, Ch. 9 Winskel Ch.6 Slonneger and Kurtz Ch. 11.

CSC 7101: Programming Language Structures 1. Axiomatic Semantics. Stansifer Ch 2.4, Ch. 9 Winskel Ch.6 Slonneger and Kurtz Ch. 11. Axiomatic Semantics Stansifer Ch 2.4, Ch. 9 Winskel Ch.6 Slonneger and Kurtz Ch. 11 1 Overview We ll develop proof rules, such as: { I b } S { I } { I } while b do S end { I b } That allow us to verify

More information