COMP2411 Lecture 6: Soundness and Completeness. Reading: Huth and Ryan, Sections 1.4

Size: px
Start display at page:

Download "COMP2411 Lecture 6: Soundness and Completeness. Reading: Huth and Ryan, Sections 1.4"

Transcription

1 COMP2411 Lecture 6: Soundness and Completeness Reading: Huth and Ryan, Sections 14 Arithmetic is useful in the world because it is an example of the diagram: symbols - symbolic manipulation -> symbols relationship relationship v v world physical operation/relation > world 1

2 Notation: We write φ 1, φ k ψ when there exists a natural deduction proof with premises φ 1, φ k and conclusion ψ Note: this relation talks only about symbolic manipulation, not the meaning of the formulas But there is a connection to the relation φ 1, φ k = ψ We say is sound if for all formulas φ 1, φ k and conclusion ψ, if φ 1, φ k ψ then φ 1, φ k = ψ (Only valid conclusions can be derived) We say is complete if for all formulas φ 1, φ k and conclusion ψ, if φ 1, φ k = ψ then φ 1, φ k ψ (All valid conclusions can be derived) Theorem: is both sound and complete 2

3 This result can be understood as an example of a commutative diagram: φ 1,, φ n - natural deduction -> ψ truth truth v set of worlds satisfying φ 1,, φ n is a subset of > v set of worlds satisfying ψ The proof of this result uses mathematical induction: Let P be some property of the natural numbers 0, 1, 2, If 1 Base case: it can be shown that 0 has property P 2 Inductive Case: Assuming P is true for n, it can be shown that P is true for n + 1 (for any natural number n) then all natural numbers satisfy P 3

4 Proof of Soundness To prove soundness, we take P(K) = For all formulas φ 1,, φ n, ψ, for all natural deduction proofs for φ 1, φ n ψ containing K or fewer steps, we have φ 1, φ n = ψ The base case is trivial there are no proofs of 0 steps! Proof of Soundness: Inductive Step For the inductive step, we have to show that if P(K) then P(K+1), ie: Assuming (Inductive Hypothesis): For all formulas φ 1,, φ n, ψ, for all natural deduction proofs for φ 1, φ n ψ containing K or fewer steps, we have φ 1, φ n = ψ We have to prove For all formulas φ 1,, φ n, ψ, for all natural deduction proofs for φ 1, φ n ψ containing K + 1 or fewer steps, we have φ 1, φ n = ψ 4

5 So consider a proof for φ 1, φ n ψ of length K+1 (or less) For all but the last step, if α is the conlusion reached at that step, we get φ 1, φ n = α direct from the induction hypothesis Consider the last step Suppose the rule applied is where A 1 and A 2 are formulae A 1 A 2 It is enough to show that for all formulas φ 1,, φ n, if (1) φ 1,, φ n = A 1, and (2) φ 1,, φ n = A 2, then φ 1,, φ n = A (We know (1) and (2) by the induction hypothesis) We have to show this for every proof rule A Example: i A 1 A 2 A 1 A 2 Suppose (1) φ 1,, φ n = A 1, and (2) φ 1,, φ n = A 2 Then (1) On every line of the truth table where φ 1,, φ n are true, A 1 is true, and (2) On every line of the truth table where φ 1,, φ n are true, A 2 is true SO (by the truth table for ), on every line of the truth table where φ 1,, φ n are true, A 1 A 2 is true 5

6 Rules like e and e are a bit more complicated, we skip the details Completeness Proof For completeness, we need to show that if φ 1,, φ n = ψ then φ 1,, φ n ψ The proof has three steps: 1 If φ 1,, φ n = ψ then = φ 1 (φ 2 (φ n ψ)) 2 If = φ 1 (φ 2 (φ n ψ)) then φ 1 (φ 2 (φ n ψ)) 3 If φ 1 (φ 2 (φ n ψ)) then φ 1,, φ n ψ Step 1 is trivial from the truth table for 6

7 Completeness: Step 2 For step 2, we prove something slightly more general: Proposition 1: If = φ then φ To show this, we first prove: Proposition 2: Let p 1,, p n be the propositional atoms (constants) in the formula φ Consider a line l of the truth table of φ Define the formulae ˆp i by ˆp i is p i if p i is true on l, ˆp i is p i if p i is false on l Then If φ is true on l then ˆp 1,, ˆp n φ If φ is false on l then ˆp 1,, ˆp n φ The proof of this is another induction Example Consider φ = (p q) p: p q p q (p q) p F F F T F T T F T F T T T T T T We consider lines 1 and 2 7

8 On line 1, p and q are both false, so ˆp = p and ˆq = q We show p, q (p q), then use this to show p, q (p q) p On line 2, p is false, so ˆp = p and q is true, so ˆq = q We show p, q p q, then use this to show p, q ((p q) p) 1 : p Premise 2 : q Premise 3 : (p q) Assumption 4 : p Assumption 5 : 1, 4, e 6 : q Assumption 7 : 2, 6, e 8 : 3, 4 5, 6 7, e 9 : (p q) 3 8, i 10 : (p q) Assumption 11 : 9, 10, e 12 : p e 13 : (p q) p i 8

9 For line 2: 1 : p Premise 2 : q Premise 3 : p q 2, i 2 4 : (p q) p Assumption 5 : p 3, 4, e 6 : 1, 5, e 7 : ((p q) p) 4 5, i Suppose now that = φ, ie, φ is true on every line of the truth table Suppose φ has just two propositional constants p 1 and p 2 Then we can construct the following natural deduction proof: (Inside the inner boxes, we use Proposition 2 and the fact that φ is true on every line of the truth table Eg, the leftmost inner box corresponds to the fact that φ holds on the line of the truth table where p 1 and p 2 are both true, and we put the proof for p 1, p 2 φ there) 9

10 1 : p 1 p 1 LEM 2 : p 1 Asn 3 : p 2 p 2 LEM 4 : p 2 Asn x : φ x + 1 : φ x + 2 : φ 4 : p 2 Asn x : φ e 2 : p 1 Asn 3 : p 2 p 2 LEM 2 : p 2 Asn x : φ x + 1 : φ 2 : p 2 Asn x : φ e e Completeness: Step 3 Suppose φ 1 (φ 2 (φ n ψ)) with proof PP A proof of the following form establishes φ 1,, φ n ψ 1 : φ 1 Premise n : φ n Premise x : P P φ 1 (φ 2 (φ n ψ)) x + 1 : φ 2 (φ n ψ) 1, x, e x + n : ψ n, x + n 1, e 10

Overview. I Review of natural deduction. I Soundness and completeness. I Semantics of propositional formulas. I Soundness proof. I Completeness proof.

Overview. I Review of natural deduction. I Soundness and completeness. I Semantics of propositional formulas. I Soundness proof. I Completeness proof. Overview I Review of natural deduction. I Soundness and completeness. I Semantics of propositional formulas. I Soundness proof. I Completeness proof. Propositional formulas Grammar: ::= p j (:) j ( ^ )

More information

The semantics of propositional logic

The semantics of propositional logic The semantics of propositional logic Readings: Sections 1.3 and 1.4 of Huth and Ryan. In this module, we will nail down the formal definition of a logical formula, and describe the semantics of propositional

More information

Natural Deduction for Propositional Logic

Natural Deduction for Propositional Logic Natural Deduction for Propositional Logic Bow-Yaw Wang Institute of Information Science Academia Sinica, Taiwan September 10, 2018 Bow-Yaw Wang (Academia Sinica) Natural Deduction for Propositional Logic

More information

Natural Deduction. Formal Methods in Verification of Computer Systems Jeremy Johnson

Natural Deduction. Formal Methods in Verification of Computer Systems Jeremy Johnson Natural Deduction Formal Methods in Verification of Computer Systems Jeremy Johnson Outline 1. An example 1. Validity by truth table 2. Validity by proof 2. What s a proof 1. Proof checker 3. Rules of

More information

Discrete Mathematics. Instructor: Sourav Chakraborty. Lecture 4: Propositional Logic and Predicate Lo

Discrete Mathematics. Instructor: Sourav Chakraborty. Lecture 4: Propositional Logic and Predicate Lo gic Instructor: Sourav Chakraborty Propositional logic and Predicate Logic Propositional logic and Predicate Logic Every statement (or proposition) is either TRUE or FALSE. Propositional logic and Predicate

More information

Logic for Computer Science - Week 5 Natural Deduction

Logic for Computer Science - Week 5 Natural Deduction Logic for Computer Science - Week 5 Natural Deduction Ștefan Ciobâcă November 30, 2017 1 An Alternative View of Implication and Double Implication So far, we have understood as a shorthand of However,

More information

Lecture 2. Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits. Reading (Epp s textbook)

Lecture 2. Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits. Reading (Epp s textbook) Lecture 2 Logic Compound Statements Conditional Statements Valid & Invalid Arguments Digital Logic Circuits Reading (Epp s textbook) 2.1-2.4 1 Logic Logic is a system based on statements. A statement (or

More information

CISC-102 Fall 2017 Week 3. Principle of Mathematical Induction

CISC-102 Fall 2017 Week 3. Principle of Mathematical Induction Week 3 1 of 17 CISC-102 Fall 2017 Week 3 Principle of Mathematical Induction A proposition is defined as a statement that is either true or false. We will at times make a declarative statement as a proposition

More information

2. The Logic of Compound Statements Summary. Aaron Tan August 2017

2. The Logic of Compound Statements Summary. Aaron Tan August 2017 2. The Logic of Compound Statements Summary Aaron Tan 21 25 August 2017 1 2. The Logic of Compound Statements 2.1 Logical Form and Logical Equivalence Statements; Compound Statements; Statement Form (Propositional

More information

Propositional Logic: Part II - Syntax & Proofs 0-0

Propositional Logic: Part II - Syntax & Proofs 0-0 Propositional Logic: Part II - Syntax & Proofs 0-0 Outline Syntax of Propositional Formulas Motivating Proofs Syntactic Entailment and Proofs Proof Rules for Natural Deduction Axioms, theories and theorems

More information

A Weak Post s Theorem and the Deduction Theorem Retold

A Weak Post s Theorem and the Deduction Theorem Retold Chapter I A Weak Post s Theorem and the Deduction Theorem Retold This note retells (1) A weak form of Post s theorem: If Γ is finite and Γ = taut A, then Γ A and derives as a corollary the Deduction Theorem:

More information

Propositional Logic Arguments (5A) Young W. Lim 10/11/16

Propositional Logic Arguments (5A) Young W. Lim 10/11/16 Propositional Logic (5A) Young W. Lim Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

Computational Logic Lecture 3. Logical Entailment. Michael Genesereth Autumn Logical Reasoning

Computational Logic Lecture 3. Logical Entailment. Michael Genesereth Autumn Logical Reasoning Computational Logic Lecture 3 Logical Entailment Michael Genesereth Autumn 2010 Logical Reasoning Logical Reasoning relates premises and conclusion does not say whether conclusion is true in general says

More information

1 Propositional Logic

1 Propositional Logic 1 Propositional Logic Required reading: Foundations of Computation. Sections 1.1 and 1.2. 1. Introduction to Logic a. Logical consequences. If you know all humans are mortal, and you know that you are

More information

CSE 20. Final Review. CSE 20: Final Review

CSE 20. Final Review. CSE 20: Final Review CSE 20 Final Review Final Review Representation of integers in base b Logic Proof systems: Direct Proof Proof by contradiction Contraposetive Sets Theory Functions Induction Final Review Representation

More information

PRINCIPLE OF MATHEMATICAL INDUCTION

PRINCIPLE OF MATHEMATICAL INDUCTION Chapter 4 PRINCIPLE OF MATHEMATICAL INDUCTION 4.1 Overview Mathematical induction is one of the techniques which can be used to prove variety of mathematical statements which are formulated in terms of

More information

PROOFS IN PREDICATE LOGIC AND COMPLETENESS; WHAT DECIDABILITY MEANS HUTH AND RYAN 2.3, SUPPLEMENTARY NOTES 2

PROOFS IN PREDICATE LOGIC AND COMPLETENESS; WHAT DECIDABILITY MEANS HUTH AND RYAN 2.3, SUPPLEMENTARY NOTES 2 PROOFS IN PREDICATE LOGIC AND COMPLETENESS; WHAT DECIDABILITY MEANS HUTH AND RYAN 2.3, SUPPLEMENTARY NOTES 2 Neil D. Jones DIKU 2005 12 September, 2005 Some slides today new, some based on logic 2004 (Nils

More information

INF3170 Logikk Spring Homework #8 For Friday, March 18

INF3170 Logikk Spring Homework #8 For Friday, March 18 INF3170 Logikk Spring 2011 Homework #8 For Friday, March 18 Problems 2 6 have to do with a more explicit proof of the restricted version of the completeness theorem: if = ϕ, then ϕ. Note that, other than

More information

Lecture 4: Proposition, Connectives and Truth Tables

Lecture 4: Proposition, Connectives and Truth Tables Discrete Mathematics (II) Spring 2017 Lecture 4: Proposition, Connectives and Truth Tables Lecturer: Yi Li 1 Overview In last lecture, we give a brief introduction to mathematical logic and then redefine

More information

Propositional Logics and their Algebraic Equivalents

Propositional Logics and their Algebraic Equivalents Propositional Logics and their Algebraic Equivalents Kyle Brooks April 18, 2012 Contents 1 Introduction 1 2 Formal Logic Systems 1 2.1 Consequence Relations......................... 2 3 Propositional Logic

More information

Logic: Propositional Logic (Part I)

Logic: Propositional Logic (Part I) Logic: Propositional Logic (Part I) Alessandro Artale Free University of Bozen-Bolzano Faculty of Computer Science http://www.inf.unibz.it/ artale Descrete Mathematics and Logic BSc course Thanks to Prof.

More information

Discrete Mathematics. Spring 2017

Discrete Mathematics. Spring 2017 Discrete Mathematics Spring 2017 Previous Lecture Principle of Mathematical Induction Mathematical Induction: Rule of Inference Mathematical Induction: Conjecturing and Proving Mathematical Induction:

More information

Description Logics. Foundations of Propositional Logic. franconi. Enrico Franconi

Description Logics. Foundations of Propositional Logic.   franconi. Enrico Franconi (1/27) Description Logics Foundations of Propositional Logic Enrico Franconi franconi@cs.man.ac.uk http://www.cs.man.ac.uk/ franconi Department of Computer Science, University of Manchester (2/27) Knowledge

More information

2 Truth Tables, Equivalences and the Contrapositive

2 Truth Tables, Equivalences and the Contrapositive 2 Truth Tables, Equivalences and the Contrapositive 12 2 Truth Tables, Equivalences and the Contrapositive 2.1 Truth Tables In a mathematical system, true and false statements are the statements of the

More information

CMPSCI 601: Tarski s Truth Definition Lecture 15. where

CMPSCI 601: Tarski s Truth Definition Lecture 15. where @ CMPSCI 601: Tarski s Truth Definition Lecture 15! "$#&%(') *+,-!".#/%0'!12 43 5 6 7 8:9 4; 9 9 < = 9 = or 5 6?>A@B!9 2 D for all C @B 9 CFE where ) CGE @B-HI LJKK MKK )HG if H ; C if H @ 1 > > > Fitch

More information

02 Propositional Logic

02 Propositional Logic SE 2F03 Fall 2005 02 Propositional Logic Instructor: W. M. Farmer Revised: 25 September 2005 1 What is Propositional Logic? Propositional logic is the study of the truth or falsehood of propositions or

More information

Climbing an Infinite Ladder

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

More information

Advanced Topics in LP and FP

Advanced Topics in LP and FP Lecture 1: Prolog and Summary of this lecture 1 Introduction to Prolog 2 3 Truth value evaluation 4 Prolog Logic programming language Introduction to Prolog Introduced in the 1970s Program = collection

More information

Mathematical Induction

Mathematical Induction Mathematical Induction MAT30 Discrete Mathematics Fall 018 MAT30 (Discrete Math) Mathematical Induction Fall 018 1 / 19 Outline 1 Mathematical Induction Strong Mathematical Induction MAT30 (Discrete Math)

More information

Logic I - Session 22. Meta-theory for predicate logic

Logic I - Session 22. Meta-theory for predicate logic Logic I - Session 22 Meta-theory for predicate logic 1 The course so far Syntax and semantics of SL English / SL translations TT tests for semantic properties of SL sentences Derivations in SD Meta-theory:

More information

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

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

More information

CSC Discrete Math I, Spring Propositional Logic

CSC Discrete Math I, Spring Propositional Logic CSC 125 - Discrete Math I, Spring 2017 Propositional Logic Propositions A proposition is a declarative sentence that is either true or false Propositional Variables A propositional variable (p, q, r, s,...)

More information

AMTH140 Lecture 8. Symbolic Logic

AMTH140 Lecture 8. Symbolic Logic AMTH140 Lecture 8 Slide 1 Symbolic Logic March 10, 2006 Reading: Lecture Notes 6.2, 6.3; Epp 1.1, 1.2 Logical Connectives Let p and q denote propositions, then: 1. p q is conjunction of p and q, meaning

More information

Section 1.1: Logical Form and Logical Equivalence

Section 1.1: Logical Form and Logical Equivalence Section 1.1: Logical Form and Logical Equivalence An argument is a sequence of statements aimed at demonstrating the truth of an assertion. The assertion at the end of an argument is called the conclusion,

More information

Learning Goals of CS245 Logic and Computation

Learning Goals of CS245 Logic and Computation Learning Goals of CS245 Logic and Computation Alice Gao April 27, 2018 Contents 1 Propositional Logic 2 2 Predicate Logic 4 3 Program Verification 6 4 Undecidability 7 1 1 Propositional Logic Introduction

More information

Propositional Calculus - Soundness & Completeness of H

Propositional Calculus - Soundness & Completeness of H Propositional Calculus - Soundness & Completeness of H Moonzoo Kim CS Dept. KAIST moonzoo@cs.kaist.ac.kr 1 Review Goal of logic To check whether given a formula Á is valid To prove a given formula Á `

More information

SKETCHY NOTES FOR WEEKS 7 AND 8

SKETCHY NOTES FOR WEEKS 7 AND 8 SKETCHY NOTES FOR WEEKS 7 AND 8 We are now ready to start work on the proof of the Completeness Theorem for first order logic. Before we start a couple of remarks are in order (1) When we studied propositional

More information

1. Propositions: Contrapositives and Converses

1. Propositions: Contrapositives and Converses Preliminaries 1 1. Propositions: Contrapositives and Converses Given two propositions P and Q, the statement If P, then Q is interpreted as the statement that if the proposition P is true, then the statement

More information

First-Order Logic. 1 Syntax. Domain of Discourse. FO Vocabulary. Terms

First-Order Logic. 1 Syntax. Domain of Discourse. FO Vocabulary. Terms First-Order Logic 1 Syntax Domain of Discourse The domain of discourse for first order logic is FO structures or models. A FO structure contains Relations Functions Constants (functions of arity 0) FO

More information

Section 4.2: Mathematical Induction 1

Section 4.2: Mathematical Induction 1 Section 4.: Mathematical Induction 1 Over the next couple of sections, we shall consider a method of proof called mathematical induction. Induction is fairly complicated, but a very useful proof technique,

More information

Your quiz in recitation on Tuesday will cover 3.1: Arguments and inference. Your also have an online quiz, covering 3.1, due by 11:59 p.m., Tuesday.

Your quiz in recitation on Tuesday will cover 3.1: Arguments and inference. Your also have an online quiz, covering 3.1, due by 11:59 p.m., Tuesday. Friday, February 15 Today we will begin Course Notes 3.2: Methods of Proof. Your quiz in recitation on Tuesday will cover 3.1: Arguments and inference. Your also have an online quiz, covering 3.1, due

More information

CS 220: Discrete Structures and their Applications. Mathematical Induction in zybooks

CS 220: Discrete Structures and their Applications. Mathematical Induction in zybooks CS 220: Discrete Structures and their Applications Mathematical Induction 6.4 6.6 in zybooks Why induction? Prove algorithm correctness (CS320 is full of it) The inductive proof will sometimes point out

More information

Discrete Mathematics. Spring 2017

Discrete Mathematics. Spring 2017 Discrete Mathematics Spring 2017 Previous Lecture Principle of Mathematical Induction Mathematical Induction: rule of inference Mathematical Induction: Conjecturing and Proving Climbing an Infinite Ladder

More information

Propositional Logic Arguments (5A) Young W. Lim 11/8/16

Propositional Logic Arguments (5A) Young W. Lim 11/8/16 Propositional Logic (5A) Young W. Lim Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

A simple proof that super-consistency implies cut elimination

A simple proof that super-consistency implies cut elimination A simple proof that super-consistency implies cut elimination Gilles Dowek 1 and Olivier Hermant 2 1 École polytechnique and INRIA, LIX, École polytechnique, 91128 Palaiseau Cedex, France gilles.dowek@polytechnique.edu

More information

The Inclusion Exclusion Principle and Its More General Version

The Inclusion Exclusion Principle and Its More General Version The Inclusion Exclusion Principle and Its More General Version Stewart Weiss June 28, 2009 1 Introduction The Inclusion-Exclusion Principle is typically seen in the context of combinatorics or probability

More information

Lecture 3: Semantics of Propositional Logic

Lecture 3: Semantics of Propositional Logic Lecture 3: Semantics of Propositional Logic 1 Semantics of Propositional Logic Every language has two aspects: syntax and semantics. While syntax deals with the form or structure of the language, it is

More information

COMP2411 Lecture 10: Propositional Logic Programming. Note: This material is not covered in the book. Resolution Applied to Horn Clauses

COMP2411 Lecture 10: Propositional Logic Programming. Note: This material is not covered in the book. Resolution Applied to Horn Clauses COMP2411 Lecture 10: Propositional Logic Programming Note: This material is not covered in the book Consider two Horn clauses Resolution Applied to Horn Clauses p p 1... p n and q q 1... q m Suppose these

More information

Outline. Overview. Syntax Semantics. Introduction Hilbert Calculus Natural Deduction. 1 Introduction. 2 Language: Syntax and Semantics

Outline. Overview. Syntax Semantics. Introduction Hilbert Calculus Natural Deduction. 1 Introduction. 2 Language: Syntax and Semantics Introduction Arnd Poetzsch-Heffter Software Technology Group Fachbereich Informatik Technische Universität Kaiserslautern Sommersemester 2010 Arnd Poetzsch-Heffter ( Software Technology Group Fachbereich

More information

PROOFS IN MATHEMATICS

PROOFS IN MATHEMATICS Appendix 1 PROOFS IN MATHEMATICS Proofs are to Mathematics what calligraphy is to poetry. Mathematical works do consist of proofs just as poems do consist of characters. VLADIMIR ARNOLD A.1.1 Introduction

More information

Mathematics 114L Spring 2018 D.A. Martin. Mathematical Logic

Mathematics 114L Spring 2018 D.A. Martin. Mathematical Logic Mathematics 114L Spring 2018 D.A. Martin Mathematical Logic 1 First-Order Languages. Symbols. All first-order languages we consider will have the following symbols: (i) variables v 1, v 2, v 3,... ; (ii)

More information

S C F F F T T F T T S C B F F F F F T F T F F T T T F F T F T T T F T T T

S C F F F T T F T T S C B F F F F F T F T F F T T T F F T F T T T F T T T EECS 270, Winter 2017, Lecture 1 Page 1 of 6 Use pencil! Say we live in the rather black and white world where things (variables) are either true (T) or false (F). So if S is Mark is going to the Store

More information

Applied Logic. Lecture 1 - Propositional logic. Marcin Szczuka. Institute of Informatics, The University of Warsaw

Applied Logic. Lecture 1 - Propositional logic. Marcin Szczuka. Institute of Informatics, The University of Warsaw Applied Logic Lecture 1 - Propositional logic Marcin Szczuka Institute of Informatics, The University of Warsaw Monographic lecture, Spring semester 2017/2018 Marcin Szczuka (MIMUW) Applied Logic 2018

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

Part Two: The Basic Components of the SOFL Specification Language

Part Two: The Basic Components of the SOFL Specification Language Part Two: The Basic Components of the SOFL Specification Language SOFL logic Module Condition Data Flow Diagrams Process specification Function definition and specification Process decomposition Other

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

Meaning of Proof Methods of Proof

Meaning of Proof Methods of Proof Mathematical Proof Meaning of Proof Methods of Proof 1 Dr. Priya Mathew SJCE Mysore Mathematics Education 4/7/2016 2 Introduction Proposition: Proposition or a Statement is a grammatically correct declarative

More information

CS720 Class Notes. Steve Revilak

CS720 Class Notes. Steve Revilak CS720 Class Notes Steve Revilak Jan 2007 May 2007 This are Stephen Revilak s course notes from CS720, Logical Foundations of Computer Science. This course was taught by Professor Peter Fejer at UMass

More information

COMP219: Artificial Intelligence. Lecture 19: Logic for KR

COMP219: Artificial Intelligence. Lecture 19: Logic for KR COMP219: Artificial Intelligence Lecture 19: Logic for KR 1 Overview Last time Expert Systems and Ontologies Today Logic as a knowledge representation scheme Propositional Logic Syntax Semantics Proof

More information

Chapter 2 Section 2.1: Proofs Proof Techniques. CS 130 Discrete Structures

Chapter 2 Section 2.1: Proofs Proof Techniques. CS 130 Discrete Structures Chapter 2 Section 2.1: Proofs Proof Techniques CS 130 Discrete Structures Some Terminologies Axioms: Statements that are always true. Example: Given two distinct points, there is exactly one line that

More information

COMP219: Artificial Intelligence. Lecture 19: Logic for KR

COMP219: Artificial Intelligence. Lecture 19: Logic for KR COMP219: Artificial Intelligence Lecture 19: Logic for KR 1 Overview Last time Expert Systems and Ontologies Today Logic as a knowledge representation scheme Propositional Logic Syntax Semantics Proof

More information

PREDICATE LOGIC: UNDECIDABILITY AND INCOMPLETENESS HUTH AND RYAN 2.5, SUPPLEMENTARY NOTES 2

PREDICATE LOGIC: UNDECIDABILITY AND INCOMPLETENESS HUTH AND RYAN 2.5, SUPPLEMENTARY NOTES 2 PREDICATE LOGIC: UNDECIDABILITY AND INCOMPLETENESS HUTH AND RYAN 2.5, SUPPLEMENTARY NOTES 2 Neil D. Jones DIKU 2005 14 September, 2005 Some slides today new, some based on logic 2004 (Nils Andersen) OUTLINE,

More information

22c:145 Artificial Intelligence

22c:145 Artificial Intelligence 22c:145 Artificial Intelligence Fall 2005 Propositional Logic Cesare Tinelli The University of Iowa Copyright 2001-05 Cesare Tinelli and Hantao Zhang. a a These notes are copyrighted material and may not

More information

Logic in Computer Science (COMP118) Tutorial Problems 1

Logic in Computer Science (COMP118) Tutorial Problems 1 Logic in Computer Science (COMP118) Tutorial Problems 1 1. Let p 1 denote the proposition: Tom s house is red; p 2 denote the proposition: Jim s house is red; p 3 denote the proposition: Mary s house is

More information

Propositions and Proofs

Propositions and Proofs Chapter 2 Propositions and Proofs The goal of this chapter is to develop the two principal notions of logic, namely propositions and proofs There is no universal agreement about the proper foundations

More information

Warm-Up Problem. Is the following true or false? 1/35

Warm-Up Problem. Is the following true or false? 1/35 Warm-Up Problem Is the following true or false? 1/35 Propositional Logic: Resolution Carmen Bruni Lecture 6 Based on work by J Buss, A Gao, L Kari, A Lubiw, B Bonakdarpour, D Maftuleac, C Roberts, R Trefler,

More information

FORMAL PROOFS DONU ARAPURA

FORMAL PROOFS DONU ARAPURA FORMAL PROOFS DONU ARAPURA This is a supplement for M385 on formal proofs in propositional logic. Rather than following the presentation of Rubin, I want to use a slightly different set of rules which

More information

Equivalence and Implication

Equivalence and Implication Equivalence and Alice E. Fischer CSCI 1166 Discrete Mathematics for Computing February 7 8, 2018 Alice E. Fischer Laws of Logic... 1/33 1 Logical Equivalence Contradictions and Tautologies 2 3 4 Necessary

More information

Logic As Algebra COMP1600 / COMP6260. Dirk Pattinson Australian National University. Semester 2, 2017

Logic As Algebra COMP1600 / COMP6260. Dirk Pattinson Australian National University. Semester 2, 2017 Logic As Algebra COMP1600 / COMP6260 Dirk Pattinson Australian National University Semester 2, 2017 Recap: And, Or, and Not x AND y x y x y 0 0 0 0 1 0 1 0 0 1 1 1 x OR y x y x y 0 0 0 0 1 1 1 0 1 1 1

More information

Gödel s Incompleteness Theorem. Overview. Computability and Logic

Gödel s Incompleteness Theorem. Overview. Computability and Logic Gödel s Incompleteness Theorem Overview Computability and Logic Recap Remember what we set out to do in this course: Trying to find a systematic method (algorithm, procedure) which we can use to decide,

More information

Comp487/587 - Boolean Formulas

Comp487/587 - Boolean Formulas Comp487/587 - Boolean Formulas 1 Logic and SAT 1.1 What is a Boolean Formula Logic is a way through which we can analyze and reason about simple or complicated events. In particular, we are interested

More information

Logic for Computer Science - Week 4 Natural Deduction

Logic for Computer Science - Week 4 Natural Deduction Logic for Computer Science - Week 4 Natural Deduction 1 Introduction In the previous lecture we have discussed some important notions about the semantics of propositional logic. 1. the truth value of a

More information

CSE 20. Lecture 4: Introduction to Boolean algebra. CSE 20: Lecture4

CSE 20. Lecture 4: Introduction to Boolean algebra. CSE 20: Lecture4 CSE 20 Lecture 4: Introduction to Boolean algebra Reminder First quiz will be on Friday (17th January) in class. It is a paper quiz. Syllabus is all that has been done till Wednesday. If you want you may

More information

CS 486: Lecture 2, Thursday, Jan 22, 2009

CS 486: Lecture 2, Thursday, Jan 22, 2009 CS 486: Lecture 2, Thursday, Jan 22, 2009 Mark Bickford January 22, 2009 1 Outline Propositional formulas Interpretations and Valuations Validity and Satisfiability Truth tables and Disjunctive Normal

More information

Propositional Logic Arguments (5A) Young W. Lim 11/30/16

Propositional Logic Arguments (5A) Young W. Lim 11/30/16 Propositional Logic (5A) Young W. Lim Copyright (c) 2016 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version

More information

Compound Propositions

Compound Propositions Discrete Structures Compound Propositions Producing new propositions from existing propositions. Logical Operators or Connectives 1. Not 2. And 3. Or 4. Exclusive or 5. Implication 6. Biconditional Truth

More information

Proving simple set properties...

Proving simple set properties... Proving simple set properties... Part 1: Some examples of proofs over sets Fall 2013 Proving simple set properties... Fall 2013 1 / 17 Introduction Overview: Learning outcomes In this session we will...

More information

Basic Algebraic Logic

Basic Algebraic Logic ELTE 2013. September Today Past 1 Universal Algebra 1 Algebra 2 Transforming Algebras... Past 1 Homomorphism 2 Subalgebras 3 Direct products 3 Varieties 1 Algebraic Model Theory 1 Term Algebras 2 Meanings

More information

a. See the textbook for examples of proving logical equivalence using truth tables. b. There is a real number x for which f (x) < 0. (x 1) 2 > 0.

a. See the textbook for examples of proving logical equivalence using truth tables. b. There is a real number x for which f (x) < 0. (x 1) 2 > 0. For some problems, several sample proofs are given here. Problem 1. a. See the textbook for examples of proving logical equivalence using truth tables. b. There is a real number x for which f (x) < 0.

More information

COMP Intro to Logic for Computer Scientists. Lecture 6

COMP Intro to Logic for Computer Scientists. Lecture 6 COMP 1002 Intro to Logic for Computer Scientists Lecture 6 B 5 2 J Treasure hunt In the back of an old cupboard you discover a note signed by a pirate famous for his bizarre sense of humour and love of

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

Formalising the Completeness Theorem of Classical Propositional Logic in Agda (Proof Pearl)

Formalising the Completeness Theorem of Classical Propositional Logic in Agda (Proof Pearl) Formalising the Completeness Theorem of Classical Propositional Logic in Agda (Proof Pearl) Leran Cai, Ambrus Kaposi, and Thorsten Altenkirch University of Nottingham {psylc5, psxak8, psztxa}@nottingham.ac.uk

More information

Filtrations and Basic Proof Theory Notes for Lecture 5

Filtrations and Basic Proof Theory Notes for Lecture 5 Filtrations and Basic Proof Theory Notes for Lecture 5 Eric Pacuit March 13, 2012 1 Filtration Let M = W, R, V be a Kripke model. Suppose that Σ is a set of formulas closed under subformulas. We write

More information

Trees and generic absoluteness

Trees and generic absoluteness in ZFC University of California, Irvine Logic in Southern California University of California, Los Angeles November 6, 03 in ZFC Forcing and generic absoluteness Trees and branches The method of forcing

More information

Lecture Notes on Linear Logic

Lecture Notes on Linear Logic Lecture Notes on Linear Logic 15-816: Modal Logic Frank Pfenning Lecture 23 April 20, 2010 1 Introduction In this lecture we will introduce linear logic [?] in its judgmental formulation [?,?]. Linear

More information

Sec$on Summary. Mathematical Proofs Forms of Theorems Trivial & Vacuous Proofs Direct Proofs Indirect Proofs

Sec$on Summary. Mathematical Proofs Forms of Theorems Trivial & Vacuous Proofs Direct Proofs Indirect Proofs Section 1.7 Sec$on Summary Mathematical Proofs Forms of Theorems Trivial & Vacuous Proofs Direct Proofs Indirect Proofs Proof of the Contrapositive Proof by Contradiction 2 Proofs of Mathema$cal Statements

More information

Hoare Examples & Proof Theory. COS 441 Slides 11

Hoare Examples & Proof Theory. COS 441 Slides 11 Hoare Examples & Proof Theory COS 441 Slides 11 The last several lectures: Agenda Denotational semantics of formulae in Haskell Reasoning using Hoare Logic This lecture: Exercises A further introduction

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

Mathematical Induction. Defining Functions. Overview. Notation for recursive functions. Base case Sn(0) = 0 S(n) = S(n 1) + n for n > 0

Mathematical Induction. Defining Functions. Overview. Notation for recursive functions. Base case Sn(0) = 0 S(n) = S(n 1) + n for n > 0 Readings on induction. Mathematical Induction (a) Weiss, Sec. 7.2, page 233 (b) Course slides f lecture and notes recitation. Every criticism from a good man is of value to me. What you hint at generally

More information

CITS2211 Discrete Structures Proofs

CITS2211 Discrete Structures Proofs CITS2211 Discrete Structures Proofs Unit coordinator: Rachel Cardell-Oliver August 13, 2017 Highlights 1 Arguments vs Proofs. 2 Proof strategies 3 Famous proofs Reading Chapter 1: What is a proof? Mathematics

More information

MAI0203 Lecture 7: Inference and Predicate Calculus

MAI0203 Lecture 7: Inference and Predicate Calculus MAI0203 Lecture 7: Inference and Predicate Calculus Methods of Artificial Intelligence WS 2002/2003 Part II: Inference and Knowledge Representation II.7 Inference and Predicate Calculus MAI0203 Lecture

More information

Mathematical Logic. Reasoning in First Order Logic. Chiara Ghidini. FBK-IRST, Trento, Italy

Mathematical Logic. Reasoning in First Order Logic. Chiara Ghidini. FBK-IRST, Trento, Italy Reasoning in First Order Logic FBK-IRST, Trento, Italy April 12, 2013 Reasoning tasks in FOL Model checking Question: Is φ true in the interpretation I with the assignment a? Answer: Yes if I = φ[a]. No

More information

The natural numbers. The natural numbers come with an addition +, a multiplication and an order < p < q, q < p, p = q.

The natural numbers. The natural numbers come with an addition +, a multiplication and an order < p < q, q < p, p = q. The natural numbers N = {0, 1,, 3, } The natural numbers come with an addition +, a multiplication and an order < p, q N, p + q N. p, q N, p q N. p, q N, exactly one of the following holds: p < q, q

More information

Overview. Knowledge-Based Agents. Introduction. COMP219: Artificial Intelligence. Lecture 19: Logic for KR

Overview. Knowledge-Based Agents. Introduction. COMP219: Artificial Intelligence. Lecture 19: Logic for KR COMP219: Artificial Intelligence Lecture 19: Logic for KR Last time Expert Systems and Ontologies oday Logic as a knowledge representation scheme Propositional Logic Syntax Semantics Proof theory Natural

More information

Propositional Calculus - Hilbert system H Moonzoo Kim CS Division of EECS Dept. KAIST

Propositional Calculus - Hilbert system H Moonzoo Kim CS Division of EECS Dept. KAIST Propositional Calculus - Hilbert system H Moonzoo Kim CS Division of EECS Dept. KAIST moonzoo@cs.kaist.ac.kr http://pswlab.kaist.ac.kr/courses/cs402-07 1 Review Goal of logic To check whether given a formula

More information

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

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

More information

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

Logical Structures in Natural Language: Propositional Logic II (Truth Tables and Reasoning

Logical Structures in Natural Language: Propositional Logic II (Truth Tables and Reasoning Logical Structures in Natural Language: Propositional Logic II (Truth Tables and Reasoning Raffaella Bernardi Università degli Studi di Trento e-mail: bernardi@disi.unitn.it Contents 1 What we have said

More information

Set Theory Basics of Set Theory. mjarrar Watch this lecture and download the slides

Set Theory Basics of Set Theory. mjarrar Watch this lecture and download the slides 9/6/17 Birzeit University Palestine 2015 6.1. Basics of 6.2 Properties of Sets and Element Argument 6.3 Algebraic Proofs mjarrar 2015 1 Watch this lecture and download the slides Course Page: http://www.jarrar.info/courses/dmath/

More information

15414/614 Optional Lecture 1: Propositional Logic

15414/614 Optional Lecture 1: Propositional Logic 15414/614 Optional Lecture 1: Propositional Logic Qinsi Wang Logic is the study of information encoded in the form of logical sentences. We use the language of Logic to state observations, to define concepts,

More information