Faculty of Science and Engineering
|
|
- Clement Hood
- 5 years ago
- Views:
Transcription
1 Faculty of Science and Engineering MATH1090 Solutions to Problem Set No 1 1. (3 marks) Consider the string ( ( (p q))), (a) Show that the above string is a well-formed formula (by the procedural definition). Consider the following (valid) formula-calculation:, p, q, (p q), ( (p q)), ( ( (p q))) Since the formula appears at some step of this formula calculation, it is therefore a wff. (b) Show the top-down parsing for this formula. (c) Show this formula in least parenthesized notation. (p q) 2. (3 marks) Prove by induction on formulae that the complexity of a wff equals the number of its left brackets. Proof. By Induction on formula A. Using notations introduced in the class, we want to prove comp(a)=left(a). Basis. If A is atomic, the complexity of A and the number of its left brackets are both zero. So we are okay. Page 1 of 6
2 Induction step. If A has complexity n, n > 0 I.H.: If formula X has complexity < n, comp(x)=left(x). (1) If A has the form ( B): Complexity of A is one more than complexity of B, in other words comp(a) = 1 + comp(b). Also, the number of left brackets of A is one more than the number of left brackets of B, or left(a) = 1 + left(b). We also know that the complexity of B is n 1 < n and I.H. applies to B. Therefore the complexity of B equals its number of left brackets, or comp(b) = lef t(b). We can conclude that comp(a) = left(a), in other words the complexity of A equals its number of left brackets. We are okay in this case. (2) If A has the form (BoC): Complexity of A is comp(a) = 1 + comp(b) + comp(c). Also, the number of left brackets of A is left(a) = 1 + left(b) + left(c). We also know that the complexity of B and C are both less than n and I.H. applies to B and C. Therefore by I.H., comp(b) = left(b) and comp(c) = left(c). We can conclude that comp(a) = left(a), in other words the complexity of A equals its number of left brackets. We are okay in this case. We are done! We proved the above statement by induction on formula A. 3. (3 marks) Prove that the last symbol of a Boolean formula is never the symbol. Hint. Use analysis of formula calculation, or prove by induction on formulae. First Proof. Proof by analysis of formula calculation. By definition, a wff is a string that is written in some step of formula calculation. We show that none of the rules of formula calculation can introduce the symbol as the last symbol of a formula. A formula can be written using one of these rules of formula calculation: (a) We may write a Boolean variable, or. None of these ends with. (b) We may write ( A) provided we have written A before. The last symbol in this case is ) and is not. (c) We may write (A B), {,,, } provided we have written A and B before. The last symbol in this case again is ) and is not. We showed that none of the steps in a formula calculation can introduce as the last symbol of a formula. Second Proof. Proof by induction on formula A. Basis. If A is atomic. Then A is p, or. None of these ends with. Page 2 of 6
3 Induction step. If has complexity n, n > 0. Then A is either of form ( B) or of form (B C), {,,, }. In both cases the formula ends with a ), and the last symbol is not a. We showed by induction on formula A that the last symbol of a formula is never the symbol. Note we did not need to use the I.H. for this proof. 4. (4 marks) Which of the following are tautologies? Show your work. Note that to prove that a schema is not a tautology, you must show an instance of it that is not a tautology. p q p q p q p q p q (p q) (p q) f f f f t f t f t t t f f t t t t t t t Since the above formula is true in all possible cases, it is therefore a tautology. p q As can be seen in he third column of above truth table, there are possible states for which p q is not true. It is therefore not a tautology. A B A B A B A B A B (A B) (A B) f f f f t f t t f f t f t f f t t t t t This schema is not a tautology, since there are possible instances of this schema that are not tautologies. for example if A is and B is, we have ( ) ( ) as an instance of above schema which is false and not a tautology. A (B C) A B A C Page 3 of 6
4 A B C A (B C) A B A C (2) (1) (6) (3) (5) (4) f f f t t t f t f f f t f f t f f t f t f f f t t f f f t t t t t t t t t f f t t t t t t t f t t f t t t t t t f t f t t t t t t t t t t t t t This schema is true in all possible states, it is therefore a tautology. 5. (4 marks) Use truth tables (with explanations) or truth table shortcuts to show if the following statements are valid. For any invalid schema, show an instance that is not a tautological implication. A, B = taut A B A B A B f f f t t f t t t Only the last row, shows a state that satisfies Γ = {A, B}. in this state, A B is also true. Therefore this is a valid tautological implication. p, q = taut q This is obviously a valid tautological implication. Any state that satisfies Γ = {p, q} satisfies q as well by definition. B A, A = taut B A B B A f f t f t f t f t t t t The third and fourth rows of the truth table satisfy Γ = {B A, A}. But in these states B is not necessarily true. To show an instance for which the tautological implication is not valid, consider A being and B being. Both and are true, but is false. We showed that this tautological implication is invalid. Page 4 of 6
5 A, A B C = taut C Assume A is, B is, and C is. Then A is true and (A (B C)) which is ( ( )) is true, but C is false. We showed an instance of the schema that is not a tautological implication. Therefore the schema is not a valid tautological implication. 6. (2 marks) Use the truth table shortcut method to show that C, A (B C) = taut A B Let s assume that the above is not a valid tautological implication. Therefore there exists a state v, for which the assumptions are true but the conclusion is false. In other words: v(c) = t (1) v(a (B C)) = t (2) { v(a) = t (3) v(a B) = f v(b) = f (4) v(b C) = t (By (2), (3)) (5) v(c) = f (By (4), (5)) (6) But (6) contradicts (1). Therefore our assumption must be incorrect, and the above statement is indeed a valid tautological implication. 7. (2 marks) Which of the following sets is satisfiable? {p q, q r, r p} Consider a state v for which v(p) = f, v(q) = t, v(r) = f In this state, all formulae in above set are true. Therefore this state satisfies above set and therefore the set is satisfiable. {p q, p p, } The formula p p is a contradiction and can never be true. Therefore no state can exist for which all formulae in above set are true. This set is not satisfiable. 8. (4 marks) Calculate the wff obtained after the following substitutions, if they are valid. Otherwise explain why the substitution is illegal. Show all steps for the first valid substitution only, and only the final answer for the rest. Page 5 of 6
6 p (q p)[p := ] = p (q[p := ] p[p := ]) = p (q ) (p q) p[p := t] This is an illegal substitution, since t is not a wff. ((p q) p)[(p q) := A] (where A is a formula) This is an illegal substitution, since we can only substitute for a Boolean variable, not a formula such as (p q) q[p := A B] (where A and B are formulae) = q (unchanged). Note this is a legal substitution. Page 6 of 6
Chapter 4: Classical Propositional Semantics
Chapter 4: Classical Propositional Semantics Language : L {,,, }. Classical Semantics assumptions: TWO VALUES: there are only two logical values: truth (T) and false (F), and EXTENSIONALITY: the logical
More informationPropositional Language - Semantics
Propositional Language - Semantics Lila Kari University of Waterloo Propositional Language - Semantics CS245, Logic and Computation 1 / 41 Syntax and semantics Syntax Semantics analyzes Form analyzes Meaning
More informationLecture 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 informationComputation and Logic Definitions
Computation and Logic Definitions True and False Also called Boolean truth values, True and False represent the two values or states an atom can assume. We can use any two distinct objects to represent
More informationTecniche di Verifica. Introduction to Propositional Logic
Tecniche di Verifica Introduction to Propositional Logic 1 Logic A formal logic is defined by its syntax and semantics. Syntax An alphabet is a set of symbols. A finite sequence of these symbols is called
More information10 Propositional logic
10 The study of how the truth value of compound statements depends on those of simple statements. A reminder of truth-tables. and A B A B F T F F F F or A B A B T F T F T T F F F not A A T F F T material
More informationLecture 11: Measuring the Complexity of Proofs
IAS/PCMI Summer Session 2000 Clay Mathematics Undergraduate Program Advanced Course on Computational Complexity Lecture 11: Measuring the Complexity of Proofs David Mix Barrington and Alexis Maciel July
More informationPropositional Logic. Yimei Xiang 11 February format strictly follow the laws and never skip any step.
Propositional Logic Yimei Xiang yxiang@fas.harvard.edu 11 February 2014 1 Review Recursive definition Set up the basis Generate new members with rules Exclude the rest Subsets vs. proper subsets Sets of
More informationPropositional and Predicate Logic - II
Propositional and Predicate Logic - II Petr Gregor KTIML MFF UK WS 2016/2017 Petr Gregor (KTIML MFF UK) Propositional and Predicate Logic - II WS 2016/2017 1 / 16 Basic syntax Language Propositional logic
More informationReview CHAPTER. 2.1 Definitions in Chapter Sample Exam Questions. 2.1 Set; Element; Member; Universal Set Partition. 2.
CHAPTER 2 Review 2.1 Definitions in Chapter 2 2.1 Set; Element; Member; Universal Set 2.2 Subset 2.3 Proper Subset 2.4 The Empty Set, 2.5 Set Equality 2.6 Cardinality; Infinite Set 2.7 Complement 2.8 Intersection
More informationMATH 1090 Problem Set #3 Solutions March York University
York University Faculties of Science and Engineering, Arts, Atkinson MATH 1090. Problem Set #3 Solutions Section M 1. Use Resolution (possibly in combination with the Deduction Theorem, Implication as
More informationCOT 2104 Homework Assignment 1 (Answers)
1) Classify true or false COT 2104 Homework Assignment 1 (Answers) a) 4 2 + 2 and 7 < 50. False because one of the two statements is false. b) 4 = 2 + 2 7 < 50. True because both statements are true. c)
More informationLanguage of Propositional Logic
Logic A logic has: 1. An alphabet that contains all the symbols of the language of the logic. 2. A syntax giving the rules that define the well formed expressions of the language of the logic (often called
More informationYork University. Faculty of Science and Engineering MATH 1090, Section M Final Examination, April NAME (print, in ink): Instructions, remarks:
York University Faculty of Science and Engineering MATH 1090, Section M ination, NAME (print, in ink): (Family name) (Given name) Instructions, remarks: 1. In general, carefully read all instructions in
More informationON1 Big Mock Test 4 October 2013 Answers This test counts 4% of assessment for the course. Time allowed: 10 minutes
ON1 Big Mock Test 4 October 2013 Answers This test counts 4% of assessment for the course. Time allowed: 10 minutes The actual test will contain only 2 questions. Marking scheme: In each multiple choice
More informationA 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 informationCSC 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 informationFormal (natural) deduction in propositional logic
Formal (natural) deduction in propositional logic Lila Kari University of Waterloo Formal (natural) deduction in propositional logic CS245, Logic and Computation 1 / 67 I know what you re thinking about,
More informationMath Final Exam December 14, 2009 Page 1 of 5
Math 201-803-Final Exam December 14, 2009 Page 1 of 5 (3) 1. Evaluate the expressions: (a) 10 C 4 (b) 10 P 4 (c) 15!4! 3!11! (4) 2. (a) In how many ways can a president, a vice president and a treasurer
More informationMat 243 Exam 1 Review
OBJECTIVES (Review problems: on next page) 1.1 Distinguish between propositions and non-propositions. Know the truth tables (i.e., the definitions) of the logical operators,,,, and Write truth tables for
More informationA NEW FOUNDATION OF A COMPLETE BOOLEAN EQUATIONAL LOGIC
Bulletin of the Section of Logic Volume 38:1/2 (2009), pp. 13 28 George Tourlakis A NEW FOUNDATION OF A COMPLETE BOOLEAN EQUATIONAL LOGIC Abstract We redefine the equational-proofs formalism of [2], [3],
More informationMaryam Al-Towailb (KSU) Discrete Mathematics and Its Applications Math. Rules Math. of1101 Inference 1 / 13
Maryam Al-Towailb (KSU) Discrete Mathematics and Its Applications Math. Rules 151 - Math. of1101 Inference 1 / 13 Maryam Al-Towailb (KSU) Discrete Mathematics and Its Applications Math. Rules 151 - Math.
More informationPropositional 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 informationChapter 1: Formal Logic
Chapter 1: Formal Logic Dr. Fang (Daisy) Tang ftang@cpp.edu www.cpp.edu/~ftang/ CS 130 Discrete Structures Logic: The Foundation of Reasoning Definition: the foundation for the organized, careful method
More informationPropositional logic. First order logic. Alexander Clark. Autumn 2014
Propositional logic First order logic Alexander Clark Autumn 2014 Formal Logic Logical arguments are valid because of their form. Formal languages are devised to express exactly that relevant form and
More informationCSC236H Lecture 2. Ilir Dema. September 19, 2018
CSC236H Lecture 2 Ilir Dema September 19, 2018 Simple Induction Useful to prove statements depending on natural numbers Define a predicate P(n) Prove the base case P(b) Prove that for all n b, P(n) P(n
More informationCS173 Lecture B, September 10, 2015
CS173 Lecture B, September 10, 2015 Tandy Warnow September 11, 2015 CS 173, Lecture B September 10, 2015 Tandy Warnow Examlet Today Four problems: One induction proof One problem on simplifying a logical
More informationDiscrete Mathematics and Its Applications
Discrete Mathematics and Its Applications Lecture 1: Proposition logic MING GAO DASE @ ECNU (for course related communications) mgao@dase.ecnu.edu.cn Sep. 12, 2017 Outline 1 Propositions 2 Connectives
More informationCHAPTER 10. Gentzen Style Proof Systems for Classical Logic
CHAPTER 10 Gentzen Style Proof Systems for Classical Logic Hilbert style systems are easy to define and admit a simple proof of the Completeness Theorem but they are difficult to use. By humans, not mentioning
More informationPHIL12A Section answers, 16 February 2011
PHIL12A Section answers, 16 February 2011 Julian Jonker 1 How much do you know? 1. Show that the following sentences are equivalent. (a) (Ex 4.16) A B A and A B A B (A B) A A B T T T T T T T T T T T F
More information4. Derived Leibniz rules
Bulletin of the Section of Logic Volume 29/1 (2000), pp. 75 87 George Tourlakis A BASIC FORMAL EQUATIONAL PREDICATE LOGIC PART II Abstract We continue our exploration of the Basic Formal Equational Predicate
More informationCSE 20: Discrete Mathematics
Spring 2018 Summary Last time: Today: Logical connectives: not, and, or, implies Using Turth Tables to define logical connectives Logical equivalences, tautologies Some applications Proofs in propositional
More informationPart I: Propositional Calculus
Logic Part I: Propositional Calculus Statements Undefined Terms True, T, #t, 1 False, F, #f, 0 Statement, Proposition Statement/Proposition -- Informal Definition Statement = anything that can meaningfully
More informationComputer Science Foundation Exam
Computer Science Foundation Exam August 2, 2002 Section II A DISCRETE STRUCTURES NO books, notes, or calculators may be used, and you must work entirely on your own. Name: SSN: In this section of the exam,
More informationLogic and Truth Tables
Logic and Truth Tables What is a Truth Table? A truth table is a tool that helps you analyze statements or arguments in order to verify whether or not they are logical, or true. There are five basic operations
More informationC. Modal Propositional Logic (MPL)
C. Modal Propositional Logic (MPL) Let s return to a bivalent setting. In this section, we ll take it for granted that PL gets the semantics and logic of and Ñ correct, and consider an extension of PL.
More informationPHI 120 Introductory Logic Consistency of the Calculus
PHI 120 Introductory Logic Consistency of the Calculus What we will show: 1. All derivable sequents are tautologous, i.e., valid. these results are metatheorems as they express results about the calculus,
More informationSemantics of intuitionistic propositional logic
Semantics of intuitionistic propositional logic Erik Palmgren Department of Mathematics, Uppsala University Lecture Notes for Applied Logic, Fall 2009 1 Introduction Intuitionistic logic is a weakening
More informationLogic as a Tool Chapter 1: Understanding Propositional Logic 1.1 Propositions and logical connectives. Truth tables and tautologies
Logic as a Tool Chapter 1: Understanding Propositional Logic 1.1 Propositions and logical connectives. Truth tables and tautologies Valentin Stockholm University September 2016 Propositions Proposition:
More informationLING 106. Knowledge of Meaning Lecture 3-1 Yimei Xiang Feb 6, Propositional logic
LING 106. Knowledge of Meaning Lecture 3-1 Yimei Xiang Feb 6, 2016 Propositional logic 1 Vocabulary of propositional logic Vocabulary (1) a. Propositional letters: p, q, r, s, t, p 1, q 1,..., p 2, q 2,...
More informationLecture 6: Formal Syntax & Propositional Logic. First: Laziness in Haskell. Lazy Lists. Monads Later. CS 181O Spring 2016 Kim Bruce
Lecture 6: Formal Syntax & CS 181O Spring 2016 Kim Bruce First: Laziness in Haskell Some slide content taken from Unger and Michaelis Lazy Lists Monads Later fib 0 = 1 fib 1 = 1 fib n = fib (n-1) + fib
More informationCHAPTER 4 CLASSICAL PROPOSITIONAL SEMANTICS
CHAPTER 4 CLASSICAL PROPOSITIONAL SEMANTICS 1 Language There are several propositional languages that are routinely called classical propositional logic languages. It is due to the functional dependency
More informationAdvanced 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 informationArtificial Intelligence
Artificial Intelligence Propositional Logic [1] Boolean algebras by examples U X U U = {a} U = {a, b} U = {a, b, c} {a} {b} {a, b} {a, c} {b, c}... {a} {b} {c} {a, b} {a} The arrows represents proper inclusion
More informationMidterm Exam Solution
Midterm Exam Solution Name PID Honor Code Pledge: I certify that I am aware of the Honor Code in effect in this course and observed the Honor Code in the completion of this exam. Signature Notes: 1. This
More informationPropositional Logic: Models and Proofs
Propositional Logic: Models and Proofs C. R. Ramakrishnan CSE 505 1 Syntax 2 Model Theory 3 Proof Theory and Resolution Compiled at 11:51 on 2016/11/02 Computing with Logic Propositional Logic CSE 505
More information1 Tautologies, contradictions and contingencies
DEDUCTION (I) TAUTOLOGIES, CONTRADICTIONS AND CONTINGENCIES & LOGICAL EQUIVALENCE AND LOGICAL CONSEQUENCE October 6, 2003 1 Tautologies, contradictions and contingencies Consider the truth table of the
More informationPropositional Logic Basics Propositional Equivalences Normal forms Boolean functions and digital circuits. Propositional Logic.
Propositional Logic Winter 2012 Propositional Logic: Section 1.1 Proposition A proposition is a declarative sentence that is either true or false. Which ones of the following sentences are propositions?
More informationAI Principles, Semester 2, Week 2, Lecture 5 Propositional Logic and Predicate Logic
AI Principles, Semester 2, Week 2, Lecture 5 Propositional Logic and Predicate Logic Propositional logic Logical connectives Rules for wffs Truth tables for the connectives Using Truth Tables to evaluate
More informationProofs Propositions and Calculuses
Lecture 2 CS 1813 Discrete Mathematics Proofs Propositions and Calculuses 1 City of Königsberg (Kaliningrad) 2 Bridges of Königsberg Problem Find a route that crosses each bridge exactly once Must the
More informationMath 267a - Propositional Proof Complexity. Lecture #1: 14 January 2002
Math 267a - Propositional Proof Complexity Lecture #1: 14 January 2002 Lecturer: Sam Buss Scribe Notes by: Robert Ellis 1 Introduction to Propositional Logic 1.1 Symbols and Definitions The language of
More informationPropositional Resolution Part 1. Short Review Professor Anita Wasilewska CSE 352 Artificial Intelligence
Propositional Resolution Part 1 Short Review Professor Anita Wasilewska CSE 352 Artificial Intelligence SYNTAX dictionary Literal any propositional VARIABLE a or negation of a variable a, a VAR, Example
More informationKP/Worksheets: Propositional Logic, Boolean Algebra and Computer Hardware Page 1 of 8
KP/Worksheets: Propositional Logic, Boolean Algebra and Computer Hardware Page 1 of 8 Q1. What is a Proposition? Q2. What are Simple and Compound Propositions? Q3. What is a Connective? Q4. What are Sentential
More informationPacket #1: Logic & Proofs. Applied Discrete Mathematics
Packet #1: Logic & Proofs Applied Discrete Mathematics Table of Contents Course Objectives Page 2 Propositional Calculus Information Pages 3-13 Course Objectives At the conclusion of this course, you should
More information2. 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 informationpractice: logic [159 marks]
practice: logic [159 marks] Consider two propositions p and q. Complete the truth table below. 1a. [4 marks] (A1)(A1)(ft)(A1)(A1)(ft) (C4) Note: Award (A1) for each correct column (second column (ft) from
More information2 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 informationIntelligent Systems. Propositional Logic. Dieter Fensel and Dumitru Roman. Copyright 2008 STI INNSBRUCK
Intelligent Systems Propositional Logic Dieter Fensel and Dumitru Roman www.sti-innsbruck.at Copyright 2008 STI INNSBRUCK www.sti-innsbruck.at Where are we? # Title 1 Introduction 2 Propositional Logic
More informationAnnouncements. CS311H: Discrete Mathematics. Propositional Logic II. Inverse of an Implication. Converse of a Implication
Announcements CS311H: Discrete Mathematics Propositional Logic II Instructor: Işıl Dillig First homework assignment out today! Due in one week, i.e., before lecture next Wed 09/13 Remember: Due before
More informationFormal Logic Lecture 11
Faculty of Philosophy Formal Logic Lecture 11 Peter Smith Peter Smith: Formal Logic, Lecture 11 1 Outline Where next? Introducing PL trees Branching trees Peter Smith: Formal Logic, Lecture 11 2 Where
More informationLearning Log Title: CHAPTER 6: SOLVING INEQUALITIES AND EQUATIONS. Date: Lesson: Chapter 6: Solving Inequalities and Equations
Chapter 6: Solving Inequalities and Equations CHAPTER 6: SOLVING INEQUALITIES AND EQUATIONS Date: Lesson: Learning Log Title: Date: Lesson: Learning Log Title: Chapter 6: Solving Inequalities and Equations
More informationPL: Truth Trees. Handout Truth Trees: The Setup
Handout 4 PL: Truth Trees Truth tables provide a mechanical method for determining whether a proposition, set of propositions, or argument has a particular logical property. For example, we can show that
More informationTECHNISCHE UNIVERSITEIT EINDHOVEN Faculteit Wiskunde en Informatica. Final exam Logic & Set Theory (2IT61) (correction model)
TECHNISCHE UNIVERSITEIT EINDHOVEN Faculteit Wiskunde en Informatica Final exam Logic & Set Theory (2IT61) (correction model) Thursday November 4, 2016, 9:00 12:00 hrs. (2) 1. Determine whether the abstract
More information1. Propositional Calculus
1. Propositional Calculus Some notes for Math 601, Fall 2010 based on Elliott Mendelson, Introduction to Mathematical Logic, Fifth edition, 2010, Chapman & Hall. 2. Syntax ( grammar ). 1.1, p. 1. Given:
More information1. Propositional Calculus
1. Propositional Calculus Some notes for Math 601, Fall 2010 based on Elliott Mendelson, Introduction to Mathematical Logic, Fifth edition, 2010, Chapman & Hall. 2. Syntax ( grammar ). 1.1, p. 1. Given:
More information2.2: Logical Equivalence: The Laws of Logic
Example (2.7) For primitive statement p and q, construct a truth table for each of the following compound statements. a) p q b) p q Here we see that the corresponding truth tables for two statement p q
More informationHomework 3: Solutions
Homework 3: Solutions ECS 20 (Fall 2014) Patrice Koehl koehl@cs.ucdavis.edu October 16, 2014 Exercise 1 Show that this implication is a tautology, by using a table of truth: [(p q) (p r) (q r)] r. p q
More information1 Completeness Theorem for Classical Predicate
1 Completeness Theorem for Classical Predicate Logic The relationship between the first order models defined in terms of structures M = [M, I] and valuations s : V AR M and propositional models defined
More informationMATH 13 SAMPLE FINAL EXAM SOLUTIONS
MATH 13 SAMPLE FINAL EXAM SOLUTIONS WINTER 2014 Problem 1 (15 points). For each statement below, circle T or F according to whether the statement is true or false. You do NOT need to justify your answers.
More informationEquivalence 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 information13.3 Truth Tables for the Conditional and the Biconditional
ruthablesconditionalbiconditional.nb 1 13.3 ruth ables for the Conditional and the Biconditional Conditional Earlier, we mentioned that the statement preceding the conditional symbol is called the antecedent
More informationPredicates and Quantifiers
Predicates and Quantifiers Lecture 9 Section 3.1 Robb T. Koether Hampden-Sydney College Wed, Jan 29, 2014 Robb T. Koether (Hampden-Sydney College) Predicates and Quantifiers Wed, Jan 29, 2014 1 / 32 1
More informationAutomated Reasoning Lecture 2: Propositional Logic and Natural Deduction
Automated Reasoning Lecture 2: Propositional Logic and Natural Deduction Jacques Fleuriot jdf@inf.ed.ac.uk Logic Puzzles 1. Tomorrow will be sunny or rainy. Tomorrow will not be sunny. What will the weather
More informationCombinational Digital Design. Laboratory Manual. Experiment #6. Simplification using Karnaugh Map
The Islamic University of Gaza Engineering Faculty Department of Computer Engineering Fall 2017 ECOM 2013 Khaleel I. Shaheen Combinational Digital Design Laboratory Manual Experiment #6 Simplification
More informationPropositional 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 informationPropositional Calculus: Formula Simplification, Essential Laws, Normal Forms
P Formula Simplification, Essential Laws, Normal Forms Lila Kari University of Waterloo P Formula Simplification, Essential Laws, Normal CS245, Forms Logic and Computation 1 / 26 Propositional calculus
More informationChapter 11: Automated Proof Systems
Chapter 11: Automated Proof Systems SYSTEM RS OVERVIEW Hilbert style systems are easy to define and admit a simple proof of the Completeness Theorem but they are difficult to use. Automated systems are
More informationSection 1.2: Propositional Logic
Section 1.2: Propositional Logic January 17, 2017 Abstract Now we re going to use the tools of formal logic to reach logical conclusions ( prove theorems ) based on wffs formed by some given statements.
More informationChapter 11: Automated Proof Systems (1)
Chapter 11: Automated Proof Systems (1) SYSTEM RS OVERVIEW Hilbert style systems are easy to define and admit a simple proof of the Completeness Theorem but they are difficult to use. Automated systems
More informationDepartment 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 informationHOMEWORK 1: SOLUTIONS - MATH 215 INSTRUCTOR: George Voutsadakis
HOMEWORK 1: SOLUTIONS - MATH 215 INSTRUCTOR: George Voutsadakis Problem 1 Make truth tables for the propositional forms (P Q) (P R) and (P Q) (R S). Solution: P Q R P Q P R (P Q) (P R) F F F F F F F F
More informationSAT Solvers: Theory and Practice
Summer School on Verification Technology, Systems & Applications, September 17, 2008 p. 1/98 SAT Solvers: Theory and Practice Clark Barrett barrett@cs.nyu.edu New York University Summer School on Verification
More informationhttps://vu5.sfc.keio.ac.jp/slide/
1 FUNDAMENTALS OF LOGIC NO.3 NORMAL FORMS Tatsuya Hagino hagino@sfc.keio.ac.jp lecture URL https://vu5.sfc.keio.ac.jp/slide/ 2 So Far What is Logic? mathematical logic symbolic logic Proposition A statement
More informationSolutions Manual. Selected odd-numbers problems from. Chapter 3. Proof: Introduction to Higher Mathematics. Seventh Edition
Solutions Manual Selected odd-numbers problems from Chapter 3 of Proof: Introduction to Higher Mathematics Seventh Edition Warren W. Esty and Norah C. Esty 5 4 3 2 1 2 Section 3.1. Inequalities Chapter
More informationPropositional Logic. Argument Forms. Ioan Despi. University of New England. July 19, 2013
Propositional Logic Argument Forms Ioan Despi despi@turing.une.edu.au University of New England July 19, 2013 Outline Ioan Despi Discrete Mathematics 2 of 1 Order of Precedence Ioan Despi Discrete Mathematics
More information1 Completeness Theorem for First Order Logic
1 Completeness Theorem for First Order Logic There are many proofs of the Completeness Theorem for First Order Logic. We follow here a version of Henkin s proof, as presented in the Handbook of Mathematical
More informationExercise Set 1 Solutions Math 2020 Due: January 30, Find the truth tables of each of the following compound statements.
1. Find the truth tables of each of the following compound statements. (a) ( (p q)) (p q), p q p q (p q) q p q ( (p q)) (p q) 0 0 0 1 1 1 1 0 1 0 1 0 0 0 1 0 0 1 1 1 1 1 1 1 0 0 1 0 (b) [p ( p q)] [( (p
More informationA statement is a sentence that is definitely either true or false but not both.
5 Logic In this part of the course we consider logic. Logic is used in many places in computer science including digital circuit design, relational databases, automata theory and computability, and artificial
More informationMathematics 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 informationExample. Logic. Logical Statements. Outline of logic topics. Logical Connectives. Logical Connectives
Logic Logic is study of abstract reasoning, specifically, concerned with whether reasoning is correct. Logic focuses on relationship among statements as opposed to the content of any particular statement.
More informationUnit 1. Propositional Logic Reading do all quick-checks Propositional Logic: Ch. 2.intro, 2.2, 2.3, 2.4. Review 2.9
Unit 1. Propositional Logic Reading do all quick-checks Propositional Logic: Ch. 2.intro, 2.2, 2.3, 2.4. Review 2.9 Typeset September 23, 2005 1 Statements or propositions Defn: A statement is an assertion
More informationPHIL12A Section answers, 28 Feb 2011
PHIL12A Section answers, 28 Feb 2011 Julian Jonker 1 How much do you know? Give formal proofs for the following arguments. 1. (Ex 6.18) 1 A B 2 A B 1 A B 2 A 3 A B Elim: 2 4 B 5 B 6 Intro: 4,5 7 B Intro:
More informationAnnouncements. CS243: Discrete Structures. Propositional Logic II. Review. Operator Precedence. Operator Precedence, cont. Operator Precedence Example
Announcements CS243: Discrete Structures Propositional Logic II Işıl Dillig First homework assignment out today! Due in one week, i.e., before lecture next Tuesday 09/11 Weilin s Tuesday office hours are
More informationCompound 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 informationDiscrete Structures & Algorithms. Propositional Logic EECE 320 // UBC
Discrete Structures & Algorithms Propositional Logic EECE 320 // UBC 1 Review of last lecture Pancake sorting A problem with many applications Bracketing (bounding a function) Proving bounds for pancake
More informationPropositional Logic. Fall () Propositional Logic Fall / 30
Propositional Logic Fall 2013 () Propositional Logic Fall 2013 1 / 30 1 Introduction Learning Outcomes for this Presentation 2 Definitions Statements Logical connectives Interpretations, contexts,... Logically
More informationHW1 graded review form? HW2 released CSE 20 DISCRETE MATH. Fall
CSE 20 HW1 graded review form? HW2 released DISCRETE MATH Fall 2017 http://cseweb.ucsd.edu/classes/fa17/cse20-ab/ Today's learning goals Translate sentences from English to propositional logic using appropriate
More informationArtificial Intelligence. Propositional Logic. Copyright 2011 Dieter Fensel and Florian Fischer
Artificial Intelligence Propositional Logic Copyright 2011 Dieter Fensel and Florian Fischer 1 Where are we? # Title 1 Introduction 2 Propositional Logic 3 Predicate Logic 4 Reasoning 5 Search Methods
More informationPropositional Logic and Semantics
Propositional Logic and Semantics English is naturally ambiguous. For example, consider the following employee (non)recommendations and their ambiguity in the English language: I can assure you that no
More informationConjunction: p q is true if both p, q are true, and false if at least one of p, q is false. The truth table for conjunction is as follows.
Chapter 1 Logic 1.1 Introduction and Definitions Definitions. A sentence (statement, proposition) is an utterance (that is, a string of characters) which is either true (T) or false (F). A predicate is
More information