Three Profound Theorems about Mathematical Logic

Size: px
Start display at page:

Download "Three Profound Theorems about Mathematical Logic"

Transcription

1 Power & Limits of Logic Three Profound Theorems about Mathematical Logic Gödel's Completeness Theorem Thm 1, good news: only need to know* a few axioms & rules, to prove all validities. *Theoretically only: having more rules is convenient. lec 2F.1 Copyright lbert R. Meyer, lec 2F.2 xioms & Inference Rules Namely, starting from a few propositional & simple predicate validities, every valid assertion can be proved using just UG and modus ponens repeatedly! Cannot Determine Validity Thm 2, ad News: there is no procedure that determines when quantified assertions are valid (in contrast to propositional formulas). lec 2F.3 Copyright lbert R. Meyer, lec 2F.4 Gödel's Incompleteness Theorem for rithmetic Thm 3, Worse News: if we stick to domain, N, with predicates x + y = z, x y = z, then no proof system can prove all the true assertions! Three Profound Theorems We won't prove these Theorems. Their proofs usually require half a term in an intro logic course after lec 2F.5 Copyright lbert R. Meyer, lec 2F.6 1

2 Mathematics for Computer Science MIT 6.042J/18.062J Sets & Functions collection? Sets Informally, a set is a collection of mathematical objects with the collection treated as a single mathematical object. This is circular of course: what s a lec 2F.7 Copyright lbert R. Meyer, lec 2F.8 Some sets Real numbers, R complex numbers, C integers, Z the emptyset, the set, pow(z) of all sets of integers the power set lec 2F.9 Some sets {7, lbert R., π/2, Τ} set with 4 elements: two numbers, a string, and a oolean value. Same as { lbert R.,7,Τ, π/2} -- order doesn t matter Copyright lbert R. Meyer, lec 2F.10 Membership Membership x x is an element of π/2 {7, lbert R.,π/2, Τ} x x is a member of shorter: x is in π/3 {7, lbert R.,π/2, Τ} 14/2 {7, lbert R.,π/2, Τ} 7 Z 2/3 Z Z pow(r) lec 2F.11 lec 2F.12 2

3 In or Not In {7, π/2, 7} is same as {7, π/2} n element, like 7, is in a set, or not in the set. (No notion of being in the set more than once) is a subset of is contained in Every element of is also an element of. Z R, R C, {3} {5,7,3} every set Containment lec 2F.13 lec 2F.14 Team Problem Problem 1 Defining Sets The set of elements, x, in such that P(x) is true. { x P( x )} lec 2F.15.. Copyright lbert R. Meyer, 2005 lec 2F.16 Copyright lbert R. Meyer, 2005 Defining Sets The set of even integers: { n Z n is even } { n Z m Z. n = 2m} New sets from old Venn Diagram for and lec 2F.17 lec 2F.19 3

4 union intersection :: = { x ( x ) ( x )} :: = { x x x } lec 2F.20 lec 2F.21 set difference complement = D known domain D :: = { x ( x ) ( x )} :: = { x D x } = D lec 2F.22 lec 2F.23 power set pw o ( ):: = { S S } { } { ab} { ab} { a} { b} pow(, ) =,,,, Quickie What is Pow( )? ns: { } What is Pow(Pow( ))? ns: {{ }, } lec 2F.24 lec 2F.25 4

5 Russell s Paradox Let W :: = { S Sets S S } so S W S S Let S be W and reach a contradiction: W W W W Russell s Paradox So the collection, Sets, of all sets, cannot be considered a set! lec 2F.26 lec 2F.27 Mathematics for Computer Science MIT 6.042J/18.062J Functions f : function, f, from set to set associates an element, f ( a ) with an element a. Example: f is the string-length function: f( aabd )=4 lec 2F.31 lec 2F.32 f : f is the string-length function., the domain of f, is the set of strings., the codomain of f, is N 2 g : 1 R R gxy (, ) = x y domain(g) = all pairs of reals codomain(g)= all reals ut g is partial: not defined on all pairs of reals lec 2F.33 lec 2F.34 5

6 g : D R g ( x, y ) = 1 x y { } 2 where D = R ( xy, ) y = x Then g is total: defined on all pairs in domain D. f : Total functions is total iff every element of is assigned a -value by f a b. f( a ) = b lec 2F.35 lec 2F.36 f : Onto functions is onto iff every element of is f of something b a. f( a ) = b a surjection f : 1-1 functions is 1-1 iff every element of is f of at most 1 thing aa,.( f( a ) = f( a ')) ( a = a ') an injection lec 2F.37 lec 2F.38 ijections f : is a bijection iff it is all those good things: total, onto, and 1-1 ijections f : is a bijection iff it is an exact correspondence: f( )= lec 2F.39 lec 2F.40 6

7 ijections Team Problem exactly one arrow out f( )= exactly one arrow in Problem 2 lec 2F.41 lec 2F.42 7

Sets & Functions. x A. 7 Z, 2/3 Z, Z pow(r) Examples: {7, Albert R., π/2, T} x is a member of A: x A

Sets & Functions. x A. 7 Z, 2/3 Z, Z pow(r) Examples: {7, Albert R., π/2, T} x is a member of A: x A Mathematics for Computer Science MIT 6.042J/18.062J Sets & Functions What is a Set? Informally: set is a collection of mathematical objects, with the collection treated as a single mathematical object.

More information

CSCE 222 Discrete Structures for Computing. Review for Exam 1. Dr. Hyunyoung Lee !!!

CSCE 222 Discrete Structures for Computing. Review for Exam 1. Dr. Hyunyoung Lee !!! CSCE 222 Discrete Structures for Computing Review for Exam 1 Dr. Hyunyoung Lee 1 Topics Propositional Logic (Sections 1.1, 1.2 and 1.3) Predicate Logic (Sections 1.4 and 1.5) Rules of Inferences and Proofs

More information

Equivalence of Propositions

Equivalence of Propositions Equivalence of Propositions 1. Truth tables: two same columns 2. Sequence of logical equivalences: from one to the other using equivalence laws 1 Equivalence laws Table 6 & 7 in 1.2, some often used: Associative:

More information

Sets, Proofs and Functions. Anton Velinov

Sets, Proofs and Functions. Anton Velinov Sets, Proofs and Functions Anton Velinov DIW WS 2018 Takeaways Sets and set operations. De Morgan s laws. Logical quantifiers and operators. Implication. Methods of proof, deduction, induction, contradiction.

More information

Argument. whenever all the assumptions are true, then the conclusion is true. If today is Wednesday, then yesterday is Tuesday. Today is Wednesday.

Argument. whenever all the assumptions are true, then the conclusion is true. If today is Wednesday, then yesterday is Tuesday. Today is Wednesday. Logic and Proof Argument An argument is a sequence of statements. All statements but the first one are called assumptions or hypothesis. The final statement is called the conclusion. An argument is valid

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

Background for Discrete Mathematics

Background for Discrete Mathematics Background for Discrete Mathematics Huck Bennett Northwestern University These notes give a terse summary of basic notation and definitions related to three topics in discrete mathematics: logic, sets,

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

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

Lecture 2: Axiomatic semantics

Lecture 2: Axiomatic semantics Chair of Software Engineering Trusted Components Prof. Dr. Bertrand Meyer Lecture 2: Axiomatic semantics Reading assignment for next week Ariane paper and response (see course page) Axiomatic semantics

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

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

18.S097 Introduction to Proofs IAP 2015 Lecture Notes 1 (1/5/2015)

18.S097 Introduction to Proofs IAP 2015 Lecture Notes 1 (1/5/2015) 18.S097 Introduction to Proofs IAP 2015 Lecture Notes 1 (1/5/2015) 1. Introduction The goal for this course is to provide a quick, and hopefully somewhat gentle, introduction to the task of formulating

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

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

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

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

Discrete Mathematics. W. Ethan Duckworth. Fall 2017, Loyola University Maryland Discrete Mathematics W. Ethan Duckworth Fall 2017, Loyola University Maryland Contents 1 Introduction 4 1.1 Statements......................................... 4 1.2 Constructing Direct Proofs................................

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

Department of Computer Science University at Albany, State University of New York Solutions to Sample Discrete Mathematics Examination II (Fall 2007)

Department of Computer Science University at Albany, State University of New York Solutions to Sample Discrete Mathematics Examination II (Fall 2007) Department of Computer Science University at Albany, State University of New York Solutions to Sample Discrete Mathematics Examination II (Fall 2007) Problem 1: Specify two different predicates P (x) and

More information

This section will take the very naive point of view that a set is a collection of objects, the collection being regarded as a single object.

This section will take the very naive point of view that a set is a collection of objects, the collection being regarded as a single object. 1.10. BASICS CONCEPTS OF SET THEORY 193 1.10 Basics Concepts of Set Theory Having learned some fundamental notions of logic, it is now a good place before proceeding to more interesting things, such as

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

SETS AND FUNCTIONS JOSHUA BALLEW

SETS AND FUNCTIONS JOSHUA BALLEW SETS AND FUNCTIONS JOSHUA BALLEW 1. Sets As a review, we begin by considering a naive look at set theory. For our purposes, we define a set as a collection of objects. Except for certain sets like N, Z,

More information

Review 3. Andreas Klappenecker

Review 3. Andreas Klappenecker Review 3 Andreas Klappenecker Final Exam Friday, May 4, 2012, starting at 12:30pm, usual classroom Topics Topic Reading Algorithms and their Complexity Chapter 3 Logic and Proofs Chapter 1 Logic and Proofs

More information

Foundations of Mathematics

Foundations of Mathematics Foundations of Mathematics Andrew Monnot 1 Construction of the Language Loop We must yield to a cyclic approach in the foundations of mathematics. In this respect we begin with some assumptions of language

More information

cse 311: foundations of computing Fall 2015 Lecture 6: Predicate Logic, Logical Inference

cse 311: foundations of computing Fall 2015 Lecture 6: Predicate Logic, Logical Inference cse 311: foundations of computing Fall 2015 Lecture 6: Predicate Logic, Logical Inference quantifiers x P(x) P(x) is true for every x in the domain read as for all x, P of x x P x There is an x in the

More information

CS2742 midterm test 2 study sheet. Boolean circuits: Predicate logic:

CS2742 midterm test 2 study sheet. Boolean circuits: Predicate logic: x NOT ~x x y AND x /\ y x y OR x \/ y Figure 1: Types of gates in a digital circuit. CS2742 midterm test 2 study sheet Boolean circuits: Boolean circuits is a generalization of Boolean formulas in which

More information

Mathematical Preliminaries. Sipser pages 1-28

Mathematical Preliminaries. Sipser pages 1-28 Mathematical Preliminaries Sipser pages 1-28 Mathematical Preliminaries This course is about the fundamental capabilities and limitations of computers. It has 3 parts 1. Automata Models of computation

More information

Mathematics Review for Business PhD Students

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

More information

CM10196 Topic 2: Sets, Predicates, Boolean algebras

CM10196 Topic 2: Sets, Predicates, Boolean algebras CM10196 Topic 2: Sets, Predicates, oolean algebras Guy McCusker 1W2.1 Sets Most of the things mathematicians talk about are built out of sets. The idea of a set is a simple one: a set is just a collection

More information

Solutions to Problem Set 1

Solutions to Problem Set 1 Massachusetts Institute of Technology 6.042J/18.062J, Fall 05: Mathematics for Computer Science September 21 Prof. Albert R. Meyer and Prof. Ronitt Rubinfeld revised September 21, 2005, 1076 minutes Problem

More information

HANDOUT AND SET THEORY. Ariyadi Wijaya

HANDOUT AND SET THEORY. Ariyadi Wijaya HANDOUT LOGIC AND SET THEORY Ariyadi Wijaya Mathematics Education Department Faculty of Mathematics and Natural Science Yogyakarta State University 2009 1 Mathematics Education Department Faculty of Mathematics

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

Section 2.2 Set Operations. Propositional calculus and set theory are both instances of an algebraic system called a. Boolean Algebra.

Section 2.2 Set Operations. Propositional calculus and set theory are both instances of an algebraic system called a. Boolean Algebra. Section 2.2 Set Operations Propositional calculus and set theory are both instances of an algebraic system called a Boolean Algebra. The operators in set theory are defined in terms of the corresponding

More information

The discrete and indiscrete topologies on any set are zero-dimensional. The Sorgenfrey line

The discrete and indiscrete topologies on any set are zero-dimensional. The Sorgenfrey line p. 1 Math 525 Notes on section 17 Isolated points In general, a point x in a topological space (X,τ) is called an isolated point iff the set {x} is τ-open. A topological space is called discrete iff every

More information

CITS2211 Discrete Structures (2017) Cardinality and Countability

CITS2211 Discrete Structures (2017) Cardinality and Countability CITS2211 Discrete Structures (2017) Cardinality and Countability Highlights What is cardinality? Is it the same as size? Types of cardinality and infinite sets Reading Sections 45 and 81 84 of Mathematics

More information

Sets, Logic, Relations, and Functions

Sets, Logic, Relations, and Functions Sets, Logic, Relations, and Functions Andrew Kay September 28, 2014 Abstract This is an introductory text, not a comprehensive study; these notes contain mainly definitions, basic results, and examples.

More information

LECTURE NOTES DISCRETE MATHEMATICS. Eusebius Doedel

LECTURE NOTES DISCRETE MATHEMATICS. Eusebius Doedel LECTURE NOTES on DISCRETE MATHEMATICS Eusebius Doedel 1 LOGIC Introduction. First we introduce some basic concepts needed in our discussion of logic. These will be covered in more detail later. A set is

More information

Section 1.7 Proof Methods and Strategy. Existence Proofs. xp(x). Constructive existence proof:

Section 1.7 Proof Methods and Strategy. Existence Proofs. xp(x). Constructive existence proof: Section 1.7 Proof Methods and Strategy Existence Proofs We wish to establish the truth of xp(x). Constructive existence proof: - Establish P(c) is true for some c in the universe. - Then xp(x) is true

More information

Chapter 0. Introduction: Prerequisites and Preliminaries

Chapter 0. Introduction: Prerequisites and Preliminaries Chapter 0. Sections 0.1 to 0.5 1 Chapter 0. Introduction: Prerequisites and Preliminaries Note. The content of Sections 0.1 through 0.6 should be very familiar to you. However, in order to keep these notes

More information

Show Your Work! Point values are in square brackets. There are 35 points possible. Some facts about sets are on the last page.

Show Your Work! Point values are in square brackets. There are 35 points possible. Some facts about sets are on the last page. Formal Methods Name: Key Midterm 2, Spring, 2007 Show Your Work! Point values are in square brackets. There are 35 points possible. Some facts about sets are on the last page.. Determine whether each of

More information

Theory of Languages and Automata

Theory of Languages and Automata Theory of Languages and Automata Chapter 0 - Introduction Sharif University of Technology References Main Reference M. Sipser, Introduction to the Theory of Computation, 3 nd Ed., Cengage Learning, 2013.

More information

Meta-logic derivation rules

Meta-logic derivation rules Meta-logic derivation rules Hans Halvorson February 19, 2013 Recall that the goal of this course is to learn how to prove things about (as opposed to by means of ) classical first-order logic. So, we will

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

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

Today s Topics. Methods of proof Relationships to logical equivalences. Important definitions Relationships to sets, relations Special functions

Today s Topics. Methods of proof Relationships to logical equivalences. Important definitions Relationships to sets, relations Special functions Today s Topics Set identities Methods of proof Relationships to logical equivalences Functions Important definitions Relationships to sets, relations Special functions Set identities help us manipulate

More information

MAGIC Set theory. lecture 1

MAGIC Set theory. lecture 1 MAGIC Set theory lecture 1 David Asperó University of East Anglia 15 October 2014 Welcome Welcome to this set theory course. This will be a 10 hour introduction to set theory. The only prerequisite is

More information

Lecture Notes on DISCRETE MATHEMATICS. Eusebius Doedel

Lecture Notes on DISCRETE MATHEMATICS. Eusebius Doedel Lecture Notes on DISCRETE MATHEMATICS Eusebius Doedel c Eusebius J. Doedel, 009 Contents Logic. Introduction............................................................................... Basic logical

More information

3.4 Set Operations Given a set A, the complement (in the Universal set U) A c is the set of all elements of U that are not in A. So A c = {x x / A}.

3.4 Set Operations Given a set A, the complement (in the Universal set U) A c is the set of all elements of U that are not in A. So A c = {x x / A}. 3.4 Set Operations Given a set, the complement (in the niversal set ) c is the set of all elements of that are not in. So c = {x x /. (This type of picture is called a Venn diagram.) Example 39 Let = {1,

More information

Digital Logic Design: a rigorous approach c

Digital Logic Design: a rigorous approach c Digital Logic Design: a rigorous approach c Chapter 1: Sets and Functions Guy Even Moti Medina School of Electrical Engineering Tel-Aviv Univ. October 25, 2017 Book Homepage: http://www.eng.tau.ac.il/~guy/even-medina

More information

Automata Theory and Formal Grammars: Lecture 1

Automata Theory and Formal Grammars: Lecture 1 Automata Theory and Formal Grammars: Lecture 1 Sets, Languages, Logic Automata Theory and Formal Grammars: Lecture 1 p.1/72 Sets, Languages, Logic Today Course Overview Administrivia Sets Theory (Review?)

More information

Logic, Sets, and Proofs

Logic, Sets, and Proofs Logic, Sets, and Proofs David A. Cox and Catherine C. McGeoch Amherst College 1 Logic Logical Operators. A logical statement is a mathematical statement that can be assigned a value either true or false.

More information

n Empty Set:, or { }, subset of all sets n Cardinality: V = {a, e, i, o, u}, so V = 5 n Subset: A B, all elements in A are in B

n Empty Set:, or { }, subset of all sets n Cardinality: V = {a, e, i, o, u}, so V = 5 n Subset: A B, all elements in A are in B Discrete Math Review Discrete Math Review (Rosen, Chapter 1.1 1.7, 5.5) TOPICS Sets and Functions Propositional and Predicate Logic Logical Operators and Truth Tables Logical Equivalences and Inference

More information

9/21/2018. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions

9/21/2018. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions. Properties of Functions How can we prove that a function f is one-to-one? Whenever you want to prove something, first take a look at the relevant definition(s): x, y A (f(x) = f(y) x = y) f:r R f(x) = x 2 Disproof by counterexample:

More information

CSCE 222 Discrete Structures for Computing. Review for the Final. Hyunyoung Lee

CSCE 222 Discrete Structures for Computing. Review for the Final. Hyunyoung Lee CSCE 222 Discrete Structures for Computing Review for the Final! Hyunyoung Lee! 1 Final Exam Section 501 (regular class time 8:00am) Friday, May 8, starting at 1:00pm in our classroom!! Section 502 (regular

More information

Informal Statement Calculus

Informal Statement Calculus FOUNDATIONS OF MATHEMATICS Branches of Logic 1. Theory of Computations (i.e. Recursion Theory). 2. Proof Theory. 3. Model Theory. 4. Set Theory. Informal Statement Calculus STATEMENTS AND CONNECTIVES Example

More information

UNIVERSITY OF EAST ANGLIA. School of Mathematics UG End of Year Examination MATHEMATICAL LOGIC WITH ADVANCED TOPICS MTH-4D23

UNIVERSITY OF EAST ANGLIA. School of Mathematics UG End of Year Examination MATHEMATICAL LOGIC WITH ADVANCED TOPICS MTH-4D23 UNIVERSITY OF EAST ANGLIA School of Mathematics UG End of Year Examination 2003-2004 MATHEMATICAL LOGIC WITH ADVANCED TOPICS Time allowed: 3 hours Attempt Question ONE and FOUR other questions. Candidates

More information

Sets McGraw-Hill Education

Sets McGraw-Hill Education Sets A set is an unordered collection of objects. The objects in a set are called the elements, or members of the set. A set is said to contain its elements. The notation a A denotes that a is an element

More information

Contents Propositional Logic: Proofs from Axioms and Inference Rules

Contents Propositional Logic: Proofs from Axioms and Inference Rules Contents 1 Propositional Logic: Proofs from Axioms and Inference Rules... 1 1.1 Introduction... 1 1.1.1 An Example Demonstrating the Use of Logic in Real Life... 2 1.2 The Pure Propositional Calculus...

More information

Victoria Gitman and Thomas Johnstone. New York City College of Technology, CUNY

Victoria Gitman and Thomas Johnstone. New York City College of Technology, CUNY Gödel s Proof Victoria Gitman and Thomas Johnstone New York City College of Technology, CUNY vgitman@nylogic.org http://websupport1.citytech.cuny.edu/faculty/vgitman tjohnstone@citytech.cuny.edu March

More information

Rules of Inference. Lecture 1 Tuesday, September 24. Rosalie Iemhoff Utrecht University, The Netherlands

Rules of Inference. Lecture 1 Tuesday, September 24. Rosalie Iemhoff Utrecht University, The Netherlands Rules of Inference Lecture 1 Tuesday, September 24 Rosalie Iemhoff Utrecht University, The Netherlands TbiLLC 2013 Gudauri, Georgia, September 23-27, 2013 1 / 26 Questions Given a theorem, what are the

More information

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

POL502: Foundations. Kosuke Imai Department of Politics, Princeton University. October 10, 2005 POL502: Foundations Kosuke Imai Department of Politics, Princeton University October 10, 2005 Our first task is to develop the foundations that are necessary for the materials covered in this course. 1

More information

9/19/2018. Cartesian Product. Cartesian Product. Partitions

9/19/2018. Cartesian Product. Cartesian Product. Partitions Cartesian Product The ordered n-tuple (a 1, a 2, a 3,, a n ) is an ordered collection of objects. Two ordered n-tuples (a 1, a 2, a 3,, a n ) and (b 1, b 2, b 3,, b n ) are equal if and only if they contain

More information

Handbook of Logic and Proof Techniques for Computer Science

Handbook of Logic and Proof Techniques for Computer Science Steven G. Krantz Handbook of Logic and Proof Techniques for Computer Science With 16 Figures BIRKHAUSER SPRINGER BOSTON * NEW YORK Preface xvii 1 Notation and First-Order Logic 1 1.1 The Use of Connectives

More information

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

Sets and Functions. MATH 464/506, Real Analysis. J. Robert Buchanan. Summer Department of Mathematics. J. Robert Buchanan Sets and Functions Sets and Functions MATH 464/506, Real Analysis J. Robert Buchanan Department of Mathematics Summer 2007 Notation x A means that element x is a member of set A. x / A means that x is not a member of A.

More information

Chapter 2 - Basics Structures MATH 213. Chapter 2: Basic Structures. Dr. Eric Bancroft. Fall Dr. Eric Bancroft MATH 213 Fall / 60

Chapter 2 - Basics Structures MATH 213. Chapter 2: Basic Structures. Dr. Eric Bancroft. Fall Dr. Eric Bancroft MATH 213 Fall / 60 MATH 213 Chapter 2: Basic Structures Dr. Eric Bancroft Fall 2013 Dr. Eric Bancroft MATH 213 Fall 2013 1 / 60 Chapter 2 - Basics Structures 2.1 - Sets 2.2 - Set Operations 2.3 - Functions 2.4 - Sequences

More information

Gödel s Completeness Theorem

Gödel s Completeness Theorem A.Miller M571 Spring 2002 Gödel s Completeness Theorem We only consider countable languages L for first order logic with equality which have only predicate symbols and constant symbols. We regard the symbols

More information

Chapter 2 - Basics Structures

Chapter 2 - Basics Structures Chapter 2 - Basics Structures 2.1 - Sets Definitions and Notation Definition 1 (Set). A set is an of. These are called the or of the set. We ll typically use uppercase letters to denote sets: S, A, B,...

More information

Logic and Mathematics:

Logic and Mathematics: Logic and Mathematics: Mathematicians in Schools Program Lashi Bandara Mathematical Sciences Institute, Australian National University April 21, 2011 Contents 1 Russell s Paradox 1 2 Propositional Logic

More information

Math 5801 General Topology and Knot Theory

Math 5801 General Topology and Knot Theory Lecture 2-8/24/2012 Math 5801 Ohio State University August 24, 2012 Course Info Textbook (required) J. R. Munkres, Topology (2nd Edition), Prentice Hall, Englewood Cliffs, NJ, 2000. ISBN-10: 0131816292

More information

Adam Blank Spring 2017 CSE 311. Foundations of Computing I

Adam Blank Spring 2017 CSE 311. Foundations of Computing I Adam Blank Spring 2017 CSE 311 Foundations of Computing I Pre-Lecture Problem Suppose that p, and p (q r) are true. Is q true? Can you prove it with equivalences? CSE 311: Foundations of Computing Lecture

More information

Sets, Functions and Relations

Sets, Functions and Relations Chapter 2 Sets, Functions and Relations A set is any collection of distinct objects. Here is some notation for some special sets of numbers: Z denotes the set of integers (whole numbers), that is, Z =

More information

Completeness for FOL

Completeness for FOL Completeness for FOL Completeness Theorem for F Theorem. Let T be a set of sentences of a firstorder language L and let S be a sentence of the same language. If S is a first-order consequence of T, then

More information

Set Theory History. Martin Bunder. September 2015

Set Theory History. Martin Bunder. September 2015 Set Theory History Martin Bunder September 2015 What is a set? Possible Definition A set is a collection of elements having a common property Abstraction Axiom If a(x) is a property ( y)( x)(x y a(x))

More information

Logic. Propositional Logic: Syntax. Wffs

Logic. Propositional Logic: Syntax. Wffs Logic Propositional Logic: Syntax Logic is a tool for formalizing reasoning. There are lots of different logics: probabilistic logic: for reasoning about probability temporal logic: for reasoning about

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

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

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 Define and differentiate between important sets Use correct notation when describing sets: {...}, intervals

More information

Chapter 1 : The language of mathematics.

Chapter 1 : The language of mathematics. 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 :

More information

Reading 11 : Relations and Functions

Reading 11 : Relations and Functions CS/Math 240: Introduction to Discrete Mathematics Fall 2015 Reading 11 : Relations and Functions Instructor: Beck Hasti and Gautam Prakriya In reading 3, we described a correspondence between predicates

More information

Supplementary Material for MTH 299 Online Edition

Supplementary Material for MTH 299 Online Edition Supplementary Material for MTH 299 Online Edition Abstract This document contains supplementary material, such as definitions, explanations, examples, etc., to complement that of the text, How to Think

More information

LECTURE NOTES DISCRETE MATHEMATICS. Eusebius Doedel

LECTURE NOTES DISCRETE MATHEMATICS. Eusebius Doedel LECTURE NOTES on DISCRETE MATHEMATICS Eusebius Doedel 1 LOGIC Introduction. First we introduce some basic concepts needed in our discussion of logic. These will be covered in more detail later. A set is

More information

Postulate 2 [Order Axioms] in WRW the usual rules for inequalities

Postulate 2 [Order Axioms] in WRW the usual rules for inequalities Number Systems N 1,2,3,... the positive integers Z 3, 2, 1,0,1,2,3,... the integers Q p q : p,q Z with q 0 the rational numbers R {numbers expressible by finite or unending decimal expansions} makes sense

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

Introduction to Automata

Introduction to Automata Introduction to Automata Seungjin Choi Department of Computer Science and Engineering Pohang University of Science and Technology 77 Cheongam-ro, Nam-gu, Pohang 37673, Korea seungjin@postech.ac.kr 1 /

More information

Mathematics Review for Business PhD Students Lecture Notes

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

More information

0 Logical Background. 0.1 Sets

0 Logical Background. 0.1 Sets 0 Logical Background 0.1 Sets In this course we will use the term set to simply mean a collection of things which have a common property such as the totality of positive integers or the collection of points

More information

Propositional Logic: Syntax

Propositional Logic: Syntax Logic Logic is a tool for formalizing reasoning. There are lots of different logics: probabilistic logic: for reasoning about probability temporal logic: for reasoning about time (and programs) epistemic

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

Lecture 3: the classification of equivalence relations and the definition of a topological space

Lecture 3: the classification of equivalence relations and the definition of a topological space Lecture 3: the classification of equivalence relations and the definition of a topological space Saul Glasman September 12, 2016 If there s a bijection f : X Y, we ll often say that X and Y are in bijection,

More information

Math 109 September 1, 2016

Math 109 September 1, 2016 Math 109 September 1, 2016 Question 1 Given that the proposition P Q is true. Which of the following must also be true? A. (not P ) or Q. B. (not Q) implies (not P ). C. Q implies P. D. A and B E. A, B,

More information

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

Copyright c 2007 Jason Underdown Some rights reserved. statement. sentential connectives. negation. conjunction. disjunction Copyright & License Copyright c 2007 Jason Underdown Some rights reserved. statement sentential connectives negation conjunction disjunction implication or conditional antecedant & consequent hypothesis

More information

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

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 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 century. Most students have seen sets before. This is intended

More information

Gödel s First Incompleteness Theorem (excerpted from Gödel s Great Theorems) Selmer Bringsjord Intro to Logic May RPI Troy NY USA

Gödel s First Incompleteness Theorem (excerpted from Gödel s Great Theorems) Selmer Bringsjord Intro to Logic May RPI Troy NY USA Gödel s First Incompleteness Theorem (excerpted from Gödel s Great Theorems) Selmer Bringsjord Intro to Logic May 2 2016 RPI Troy NY USA Thursday: Can a machine match Gödel? Grade roundup (not today; let

More information

Math 5801 General Topology and Knot Theory

Math 5801 General Topology and Knot Theory Lecture 3-8/27/2012 Math 5801 Ohio State University August 27, 2012 Course Info Textbook (required) J. R. Munkres, Topology (2nd Edition), Prentice Hall, Englewood Cliffs, NJ, 2000. ISBN-10: 0131816292

More information

COMP9020 Lecture 3 Session 2, 2016 Sets, Functions, and Sequences. Revision: 1.3

COMP9020 Lecture 3 Session 2, 2016 Sets, Functions, and Sequences. Revision: 1.3 1 COMP9020 Lecture 3 Session 2, 2016 Sets, Functions, and Sequences Revision: 1.3 2 Divisibility Let m, n Z. m n means m is a divisor of n, defined by n = km for some k Z (Also stated as: n is divisible

More information

Fuzzy and Rough Sets Part I

Fuzzy and Rough Sets Part I Fuzzy and Rough Sets Part I Decision Systems Group Brigham and Women s Hospital, Harvard Medical School Harvard-MIT Division of Health Sciences and Technology Aim Present aspects of fuzzy and rough sets.

More information

software design & management Gachon University Chulyun Kim

software design & management Gachon University Chulyun Kim Gachon University Chulyun Kim 2 Outline Propositional Logic Propositional Equivalences Predicates and Quantifiers Nested Quantifiers Rules of Inference Introduction to Proofs 3 1.1 Propositional Logic

More information

A function is a special kind of relation. More precisely... A function f from A to B is a relation on A B such that. f (x) = y

A function is a special kind of relation. More precisely... A function f from A to B is a relation on A B such that. f (x) = y Functions A function is a special kind of relation. More precisely... A function f from A to B is a relation on A B such that for all x A, there is exactly one y B s.t. (x, y) f. The set A is called the

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

Lecture Notes for MATH Mathematical Logic 1

Lecture Notes for MATH Mathematical Logic 1 Lecture Notes for MATH2040 - Mathematical Logic 1 Michael Rathjen School of Mathematics University of Leeds Autumn 2009 Chapter 0. Introduction Maybe not all areas of human endeavour, but certainly the

More information