Chapter 1 : The language of mathematics.

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

Lecture Notes 1 Basic Concepts of Mathematics MATH 352

Math 109 September 1, 2016

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

Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr.

Part IA Numbers and Sets

Introduction to Proofs

Discrete Mathematics. W. Ethan Duckworth. Fall 2017, Loyola University Maryland

Sets. We discuss an informal (naive) set theory as needed in Computer Science. It was introduced by G. Cantor in the second half of the nineteenth

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

Copyright c 2007 Jason Underdown Some rights reserved. statement. sentential connectives. negation. conjunction. disjunction

Chapter 1. Sets and Mappings

Name (please print) Mathematics Final Examination December 14, 2005 I. (4)

MATH 363: Discrete Mathematics

Section 0. Sets and Relations

SETS AND FUNCTIONS JOSHUA BALLEW

Contribution of Problems

5 Set Operations, Functions, and Counting

FOUNDATIONS & PROOF LECTURE NOTES by Dr Lynne Walling

Prof. Ila Varma HW 8 Solutions MATH 109. A B, h(i) := g(i n) if i > n. h : Z + f((i + 1)/2) if i is odd, g(i/2) if i is even.

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes

Part IA Numbers and Sets

Notation Index. gcd(a, b) (greatest common divisor) NT-16

MATH FINAL EXAM REVIEW HINTS

1.4 Cardinality. Tom Lewis. Fall Term Tom Lewis () 1.4 Cardinality Fall Term / 9

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

RED. Name: Instructor: Pace Nielsen Math 290 Section 1: Winter 2014 Final Exam

Foundations Revision Notes

MATH 215 Sets (S) Definition 1 A set is a collection of objects. The objects in a set X are called elements of X.

Discrete Mathematics

MAT115A-21 COMPLETE LECTURE NOTES

Discrete Math Notes. Contents. William Farmer. April 8, Overview 3

MATH 2200 Final Review

Propositional Logic, Predicates, and Equivalence

0 Sets and Induction. Sets

Exercises for Unit VI (Infinite constructions in set theory)

MATH 3300 Test 1. Name: Student Id:

Discussion Summary 10/16/2018

A Semester Course in Basic Abstract Algebra

1. (B) The union of sets A and B is the set whose elements belong to at least one of A

MATH1240 Definitions and Theorems

6 CARDINALITY OF SETS

There are seven questions, of varying point-value. Each question is worth the indicated number of points.

Foundations of Mathematics

Functions and cardinality (solutions) sections A and F TA: Clive Newstead 6 th May 2014

Analysis I. Classroom Notes. H.-D. Alber

Equivalence of Propositions

Contribution of Problems

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions

INFINITY: CARDINAL NUMBERS

Contents Propositional Logic: Proofs from Axioms and Inference Rules

CS Discrete Mathematics Dr. D. Manivannan (Mani)

Background for Discrete Mathematics

MATH 101: ALGEBRA I WORKSHEET, DAY #1. We review the prerequisites for the course in set theory and beginning a first pass on group. 1.

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

Review Problems for Midterm Exam II MTH 299 Spring n(n + 1) 2. = 1. So assume there is some k 1 for which

Mathematics Course 111: Algebra I Part I: Algebraic Structures, Sets and Permutations

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

Functions. Definition 1 Let A and B be sets. A relation between A and B is any subset of A B.

Lecture Notes on DISCRETE MATHEMATICS. Eusebius Doedel

MATH 2200 Final LC Review

Lecture Notes on Discrete Mathematics. October 15, 2018 DRAFT

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

Math 3000 Section 003 Intro to Abstract Math Final Exam

Math 105A HW 1 Solutions

Week Some Warm-up Questions

MATH 215 Final. M4. For all a, b in Z, a b = b a.

MATH 13 FINAL EXAM SOLUTIONS

Definitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations

LECTURE NOTES DISCRETE MATHEMATICS. Eusebius Doedel

Chapter 0. Introduction: Prerequisites and Preliminaries

7.11 A proof involving composition Variation in terminology... 88

POL502: Foundations. Kosuke Imai Department of Politics, Princeton University. October 10, 2005

MATH 3330 ABSTRACT ALGEBRA SPRING Definition. A statement is a declarative sentence that is either true or false.

MATH 433 Applied Algebra Lecture 4: Modular arithmetic (continued). Linear congruences.

Introduction to Abstract Mathematics

Know the Well-ordering principle: Any set of positive integers which has at least one element contains a smallest element.

Mathematical Reasoning & Proofs

Sets McGraw-Hill Education

Exploring the infinite : an introduction to proof and analysis / Jennifer Brooks. Boca Raton [etc.], cop Spis treści

Axioms for Set Theory

Mathematics Review for Business PhD Students

REVIEW QUESTIONS. Chapter 1: Foundations: Sets, Logic, and Algorithms

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

Part II. Logic and Set Theory. Year

HANDOUT AND SET THEORY. Ariyadi Wijaya

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 1. I. Foundational material

MATH 13 SAMPLE FINAL EXAM SOLUTIONS

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

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

9 FUNCTIONS. 9.1 The Definition of Function. c Dr Oksana Shatalov, Fall

Mathematics 220 Midterm Practice problems from old exams Page 1 of 8

Mathematics Review for Business PhD Students Lecture Notes

Analysis 1. Lecture Notes 2013/2014. The original version of these Notes was written by. Vitali Liskevich

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

Part IA. Numbers and Sets. Year

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

IVA S STUDY GUIDE FOR THE DISCRETE FINAL EXAM - SELECTED SOLUTIONS. 1. Combinatorics

Transcription:

MAT 200, Logic, Language and Proof, Fall 2015 Summary Chapter 1 : The language of mathematics. Definition. A proposition is a sentence which is either true or false. Truth table for the connective or : P Q P or Q T T T T F T F T T F F F Truth table for the connective and : P Q P and Q T T T T F F F T F F F F Truth table for the connective not : P T F not P F T Chapter 2 : Implications. Truth table for the implication : P Q P Q T T T T F F F T T F F T Chapter 3 : Proofs. Trichotomy law : For real numbers a and b, one and only one of the three possibilities a < b, a = b, a > b is true. 1

2 Addition law : For real numbers a, b and c, a < b a + c < b + c. Multiplication law : For real numbers a, b and c, a < b ac < bc if c > 0; a < b ac > bc if c < 0. Transitive law : For real numbers a, b and c, a < b and b < c a < c. Chapter 4 : Proof by contradiction. Consists of proving the statement (not P ) Q where Q is a false statement. Proving an implication P Q by contradiction : assume P is true and Q is false, and obtain a contradiction. Proof by contrapositive : based on the fact that the statements P Q and its contrapositive (not Q) (not P ) are logically equivalent. Proving or statements : based on the fact that the statements P or Q and (not P ) Q are logically equivalent. Proposition. Given non-zero real numbers a and b, we have ab > 0 if and only if a and b have the same sign, and ab < 0 if and only if a and b have opposite signs. Chapter 5 : The Induction Principle. Axiom (The induction principle). Suppose that P (n) is a statement involving a general positive integer n. Then P (n) is true for all positive integers 1, 2, 3,... if (i) P (1) is true, (ii) P (k) P (k + 1) for all positive integers k. Chapter 6 : The language of set theory. Definition. A set is any well-defined collection of objects. Examples : Z is the set of all integers.

Z is the set of all non-negative integers 0, 1, 2, 3,... N is the set of all positive integers 1, 2, 3,... Q is the set of all rational numbers (fractions). R is the set of all real numbers. Definition. The objects in a set are called elements, members or points. We write x E to denote the fact that the object x is an element of the set E. Specifying a set : Listing the elements, example : A = {1, 3, π, 5}. The order is not important and there is no repetition. Conditional definition, example : A = {n N : 1 < n < 8}. Constructive definition, example : A = {n 2 +1 : n N} = {2, 5, 10, 17,... }. Definition. Two sets A and B are equal, written A = B, if they have precisely the same elements, i.e. x A x B. Definition. The empty set is the unique set which has no elements at all. It is denoted by. Definition. Given sets A and B, we say that A is a subset of B, written A B, if every element of A is an element of B, i.e. x A x B. In this case, if in addition A is not equal to B (so that B contains an element which is not an element of A), then we say that A is a proper subset of B and write A B. Thus A = B if and only if A B and B A. Operations on sets : Intersection : A B = {x : x A and x B}. Union : A B = {x : x A or x B}. Difference : A \ B = {x : x A and x / B}. Definition. Two sets A and B are said to be disjoint if A B =. Definition. The power set of a set X, denoted by P(X), is the set of all subsets of X. Thus A P(X) if and only if A X. Definition. Once we have fixed a universal set U, we can define the complement of any A P(U), denoted by A c, by A c = U \ A. Theorem. Let A, B, C be subsets of some universal set U. Then (i) Associativity : A (B C) = (A B) C, A (B C) = (A B) C; (ii) Commutativity : A B = B A, A B = B A; (iii) Distributivity : A (B C) = (A B) (A C), A (B C) = (A B) (A C); (iv) De Morgan laws : (A B) c = A c B c, (A B) c = A c B c ; 3

4 (v) Complementation : A A c = U, A A c = ; (vi) Double complements : (A c ) c = A. Chapter 7 : Quantifiers. Universal statement : a A, P (a) means that for all elements a in the set A, the proposition P (a) is true. Example : n N, n > 0. Existential statement : a A, P (a) means that there exists an element a in the set A for which the proposition P (a) is true. Example : x R, x 2 = π. Proving and disproving statements involving quantifiers : Proving statements of the form a A, P (a) : it suffices to prove the implication a A P (a). Proving statements of the form a A, P (a) : it suffices to exhibit a particular element a A for which P (a) is true. Disproving statements of the form a A, P (a) : we prove the negation a A, not P (a) by giving a counterexample, i.e. an element in A for which P (a) is false. Disproving statements of the form a A, P (a) : we prove the negation a A, not P (a). Definition. Given sets X and Y, the Cartesian product of X and Y, denoted by X Y, is the set of all ordered pairs (x, y) where x X and y Y X Y = {(x, y) : x X, y Y }. When Y = X, we write X X = X 2. Chapter 8 : Functions. Definition. Let X and Y be sets. A function f : X Y is the assignment of a unique element of Y to each element of X. We denote the element of Y assigned to x X by f(x); it is called the value of f at x or the image of x under f. The set X is called the domain of the function f and the set Y is called the codomain. Definition. The identity function I X : X X is defined by I X (x) = x for all x X. Definition. Two functions f : X Y and g : X Y are equal, written f = g, if they have the same value at each point of the domain X, i.e. f(x) = g(x) for all x X.

Definition. Given two functions f : X Y and g : Y Z, the composite of f and g, denoted by g f : X Z, is the function defined by (g f)(x) = g(f(x)) (x X). Proposition. Suppose that f : X Y, g : Y Z and h : Z W are functions. Then (i) (h g) f = h (g f). (ii) f I X = f = I Y f. Definition. Given a function f : X Y, we define its image by Im f = {f(x) : x X}. It is the subset of the codomain Y consisting of all values of f. Definition. Suppose that f : X Y is a function. Then we define the graph of f to be the subset of X Y given by G f = {(x, f(x)) : x X}. 5 Chapter 9 : Injections, surjections and bijections. Definition. Suppose that f : X Y is a function. (i) We say that f is injective if x 1, x 2 X, (f(x 1 ) = f(x 2 ) x 1 = x 2 ); (ii) We say that f is surjective if y Y, x X, y = f(x); (iii) We say that f is bijective if it is both injective and surjective. Definition. For a function f : X Y and an element y Y, we say that an element x X is a preimage of y under f if y = f(x). Thus f is injective if and only if every element of Y has at most one preimage. f is surjective if and only if every element of Y as at least one preimage. f is bijective if and only if every element of Y has exactly one preimage. Definition. A function f : X Y is invertible if there exists a function g : Y X such that y = f(x) x = g(y) ( x X, y Y ). In this case, we say that g is the inverse of f and write g = f 1. The symmetry of the definition shows that in this case g is also invertible and f is the inverse of g.

6 Theorem. Let f : X Y be a function. Then f is invertible if and only if it is bijective. Furthermore, if this is the case, then the inverse of f is unique. Proposition. The functions f : X Y and g : Y X are inverses to each other if and only if g f = I X and f g = I Y. Definition. Let f : X Y be a function. (i) The function f : P(X) P(Y ) is defined by f(a) = {f(x) : x A} for A P(X); (ii) The function f 1 : P(Y ) P(X) is defined by f 1 (B) = {x X : f(x) B}. Chapter 10 : Counting. Given n N, we define N n = {1, 2,..., n}. Definition. Let X be a set. If there is a bijection f : N n X, then we say that the cardinality of X is n and write X = n. The cardinality of the empty set is defined to be 0. Proposition. Suppose that f : N m X and g : N n X are bijections. Them m = n. Definition. Let X be a set. If X = n for some non-negative integer n, then we say that X is finite. Otherwise, we say that X is infinite. Theorem (Addition principle). Suppose that X and Y are disjoint finite sets. Then X Y is finite and X Y = X + Y. Corollary. Suppose that X 1, X 2,..., X n are pairwise disjoint finite sets. Then X 1 X 2 X n is finite and X 1 X 2 X n = X 1 + X 2 + + X n. Theorem (Multiplication principle). Suppose that X and Y are finite sets. Then X Y is finite and X Y = X Y. Proposition (Inclusion-exclusion principle for two sets). Suppose that X and Y are finite sets. Then X Y is finite and X Y = X + Y X Y.

Proposition (Inclusion-exclusion principle for three sets). Suppose that X, Y and Z are finite sets. Then X Y Z is finite and X Y Z = X + Y + Z X Y X Z Y Z + X Y Z. 7 Chapter 11 : Properties of finite sets. Theorem (Pigeonhole principle). Let X and Y be non-empty finite sets. If there exists an injection X Y, then X Y. Equivalently, if X > Y, then every function f : X Y is not injective. Theorem. Let X and Y be non-empty finite sets. If there exists a surjection X Y, then X Y. Equivalently, if X < Y, then every function f : X Y is not surjective. Proposition. Suppose that X Y where Y is a finite set. Then X is also finite and X Y. Theorem. Let X and Y be two non-empty finite sets and suppose that X = Y. Then a function f : X Y is injective if and only if it is surjective. Definition. Let A R. We say that b is a minimal element of A, written b = min A, if (i) b A; (ii) a A b a. Similarly, we say that c is a maximal element of A, written c = max A, if (i) c A; (ii) a A c a. The maximal element and minimal element, if they exist, are unique. Proposition. Let A be a finite non-empty set of real numbers. Then A has a minimum element and a maximum element. Chapter 12 : Counting functions and subsets. Proposition (Number of functions). Suppose that X and Y are non-empty finite sets with X = m and Y = n. Then Fun(X, Y ) = n m. Proposition (Number of injective functions). Let X and Y be non-empty finite sets with X = m and Y = n. Suppose that m n. Then Inj(X, Y ) = n! (n m)!.

8 Definition. Given a set X, a bijection X X is called a permutation of the set X. Proposition (Number of permutations). Suppose that X is a finite nonempty set of cardinality n. Then the number of permutations of X is n!. Proposition (Number of subsets). Suppose that X is a finite non-empty set. Then P(X) = 2 X. Definition. Given a set X and a non-negative integer r, an r-subset of X is a subset A X of cardinality r. We denote by P r (X) the set of all r-subsets of X : P r (X) = {A X : A = r}. We define the binomial coefficient ( n r) to be the cardinality of Pr (X) when X = n. Proposition. For n and r non-negative integers, we have (i) ( n r) = 0 if r > n; (ii) ( ( n 0) = 1, n ( 1) = n, n n) = 1; (iii) ( ) ( n r = n n r) for 0 r n. Proposition. n j=0 ( ) n = 2 n. j Proposition (Pascal s law). For positive integers n and r such that 1 r n, we have ( ) ( ) ( ) n n 1 n 1 = +. r r 1 r Theorem. For non-negative integers n and r such that r n, we have ( ) n n! = r r!(n r)!. Theorem (Binomial theorem). For all real numbers a and b and nonnegative integers n, we have n ( ) n (a + b) n = a n j b j. j j=0 Chapter 13 : Number systems. Theorem (Irrationality of 2). There does not exist a rational number whose square is 2.

9 Chapter 14 : Counting infinite sets. Definition. Two sets X and Y are equipotent if there is a bijection X Y. Definition. A set X is said to be denumerable if there is a bijection N X. A set is countable if it is either finite or denumerable. A set is uncountable if it is not countable. If X is denumerable, then we say that its cardinality is ℵ 0 and we write X = ℵ 0. Examples of denumerable sets : Z. Z. the set of even integers. Proposition. Let X and Y be sets and suppose that X is denumerable. Then Y is also denumerable if and only if it is equipotent to X. Proposition. If A and B are denumerable, then so is their union A B and their Cartesian product A B. Proposition. A subset of a denumerable set is countable. Theorem (Denumerability of the rationals). The set of rational numbers Q is denumerable. Theorem (Uncountability of the reals). The set of real numbers R is uncountable. Definition. We say that two (possibly infinite) sets X and Y have the same cardinality, written X = Y, if they are equipotent. If there is an injection X Y, then we write X Y. We write X < Y to mean that X Y but X Y. Theorem. For any set X, we have X < P(X). Theorem (Cantor Schröder Bernstein theorem). Suppose that X and Y are non-empty sets with X > Y. Then any function f : X Y is not injective. Corollary. Let X and Y be non-empty sets. If X Y and Y X, then X = Y. Definition. A real number x is called algebraic if it satisfies a polynomial equation a 0 + a 1 x + + a n x n = 0, where the coefficients a 0, a 1,..., a n are integers. If x is not algebraic, then we say that it is transcendental.

10 Examples of algebraic numbers : any rational number. the square root of any integer. Proposition. The set of algebraic numbers is denumerable. Chapter 15 : The division theorem. Theorem. Let a, b be integers with b > 0. Then there are unique integers q and r such that a = qb + r and 0 r < b. The integer q is called the quotient and r is called the remainder. Note that b divides a if and only if r = 0. Chapter 16 : The Euclidean algorithm. Definition. Let a and b be two integers, not both zero. The greatest common divisor of a and b, noted (a, b), is the unique positive integer d such that (i) d divides b and d divides a; (ii) If c divides a and c divides b, then c d. The Euclidean algorithm is a procedure which gives the greatest common divisor of two integers a and b. It is based on the following lemmas. Lemma. If a positive integer b divides a, then (a, b) = b. Lemma. Let a and b be non-zero integers and suppose that a = qb + r for some q, r Z. Then (a, b) = (b, r). Chapter 17 : Consequences of the Euclidean algorithm. Theorem. Let a and b be integers not both zero. Then there exist integers m and n such that ma + nb = (a, b). The integers m, n can be obtained by going backwards in the Euclidean algorithm. Corollary. Let a and b be integers not both zero. divisor of a and b if and only if c divides (a, b). Then c is a common

Definition. Two integers a and b not both zero are called coprime if (a, b) = 1, in other words their only common divisors are 1 and 1. Proposition. Let a and b be two integers not both zero. Then a and b are coprime if and only if there exist integers m and n such that ma + nb = 1. Theorem. Let a, b and c be positive integers with a and b coprime. If a divides bc, then a divides c. 11 Chapter 18 : Linear Diophantine equations. Theorem. For positive integers a, b and c, there exist integers m and n such that ma + nb = c if and only if (a, b) divides c. Theorem. Let a, b, c be positive integers and suppose that (a, b) divides c. Let m 0, n 0 be integers such that Then m, n is another solution to if and only if and for some q Z. m 0 a + n 0 b = c. ma + nb = c m = m 0 + n = n 0 b (a, b) q a (a, b) q Chapter 19 : Congruence of integers. Definition. Let m be an integer greater than one. We say that the integers a and b are congruent modulo m if m divides a b. In this case, we write a b mod m. Proposition. (i) Reflexive property : For all integers a, a a mod m; (ii) Symmetric property : If a and b are integers such that a b mod m, then b a mod m; (iii) Transitive property : If a, b and c are integers such that a b mod m and b c mod m, then a c mod m.

12 Proposition (Modular arithmetic). Suppose that a 1, a 2, b 1, b 2 are integers such that a 1 a 2 mod m and b 1 b 2 mod m. Then (i) a 1 + b 1 a 2 + b 2 mod m; (ii) a 1 b 1 a 2 b 2 mod m; (iii) a 1 b 1 a 2 b 2 mod m. Definition. The set of integers R m = {0, 1, 2,..., m 1} is called the set of residues modulo m. Proposition. Given an integer a, there is a unique r R m such that a r mod m. Proposition (Division in congruences). We have ab 1 ab 2 mod m b 1 b 2 mod m/(a, m). In particular, if a divides m, then ab 1 ab 2 mod m b 1 b 2 mod m/a and if a and m are coprime, then ab 1 ab 2 mod m b 1 b 2 mod m. Chapter 23 : The sequence of prime numbers. Definition. A positive integer n is said to be prime if n > 1 and the only positive divisors of n are 1 and n. If an integer n > 1 is not prime, then it is said to be composite. Proposition. Every integer greater than 1 can be written as a product of prime numbers. Theorem. Let a, b be positive integers and let p be a prime number. If p divides ab, then p divides a or p divides b. Proposition. If n 2 is a composite number, then it has a prime divisor not exceeding n. Theorem (Fundamental theorem of arithmetic). Every positive integer greater than 1 can be written uniquely as a product of prime numbers with the prime factors in the product written in non-decreasing order. Theorem. There are infinitely many prime numbers.