Truth Tables for Propositions

Size: px
Start display at page:

Download "Truth Tables for Propositions"

Transcription

1 Truth Tables for Propositions 1. Truth Tables for 2-Letter Compound Statements: We have learned about truth tables for simple statements. For instance, the truth table for A B is the following: Conditional A B A B T T T T F F F T T F F T So, if I had told you that, If you come over and help me move my couch on Saturday, then I will buy you pizza, the ONLY way you might call me a liar is if you DID come over and help me, and I DID NOT buy you pizza. Now we will learn how to make truth tables for more complicated statements. Let s start with a compound statement which contains ONLY TWO distinct simple statements. Example #1: For instance, imagine that a bunch of people are invited to a party. You speculate about your friends: If Alice goes, then Brad will go; but, if Brad goes, then Alice WON T go. Let A = Alice goes to the party and B = Brad goes to the party, so that we get: (A B) (B A) The un-filled-in truth table for this proposition looks like this: A B (A B) (B A) T T? T F? F T? F F? Our job now is to figure out what goes in place of the question marks. We figure them out one line at a time. Let s start with the first line, where A and B are both true. In that case, we get the following: 1

2 Line 1: A=T, B=T (A B) (B A) becomes: (T T) (T T) (We replace the letters with T for True and F for False ) (T T) (T F) (We negate the last T ) T F (The first conditional is true, and the second one is false) F (A conjunction with one false conjunct is false) So, the right-hand column should have an F on the first line, like this: A B (A B) (B A) T T F T F? F T? F F? Let s do the other 3 lines: Line 2: A=T, B=F (A B) (B A) (T F) (F T) (T F) (F F) F T F Line 3: A=F, B=T (A B) (B A) (F T) (T F) (F T) (T T) T T T Line 4: A=F, B=F (A B) (B A) (F F) (F F) (F F) (F T) T T T 2

3 So, now that we have our truth values for lines 1-4, we can fill in the entire truth table: A B (A B) (B A) T T F T F F F T T F F T The bold values on the far right represents the truth table for the proposition. As we can see, your claim ONLY comes out true if Brad is the only one of the two who shows up, or if NEITHER Alice nor Brad show up. Example #2: We have seen this claim: Timmy is either five or six, but he s not both five AND six. Substituting F for Timmy is five and S for Timmy is six, we get the following symbolization: Again, these are the four possible combinations of truth and falsehood for F and S: F S T T? T F? F T? F F? But, typically, to save space we do not determine the truth table like we did in example #1. Usually, we put the T s and F s directly underneath the formula, all together, like this: T T T T T F T F F T F T F F F F First, let s determine the truth values of the disjunction and conjunction (the stuff inside of the parentheses), like this: T T T T T T T T F T F F F T T F F T F F F F F F 3

4 Above, the original truth values for the statements F and S are in black, and the truth values for the disjunction and the conjunction are in green. Note that the disjunction is only false on the fourth line, since disjunctions are only ever false when BOTH of their disjuncts are false. Also, the conjunction is only true on the first line, since conjunctions are only true when BOTH of their conjuncts are true. Next, we perform the negation on the stuff in parentheses on the right, like this: T T T F T T T T T F T T F F F T T T F F T F F F T F F F The solution for the truth values of the negation is in blue. For negation, we just write the opposite truth value of whatever is being negated (so the blue truth values are just the opposite of the green truth values listed underneath the conjunction). Last, let s solve for the main operator, the conjunction, : T T T F F T T T T T F T T T F F F T T T T F F T F F F F T F F F The bold, red letters are the truth function for the whole proposition, which was: Timmy is either five or six, but he s not both five AND six. The final truth table looks like this: F S T T F T F T F T T F F F 4

5 Notice that only the second and third lines are true. So, looking at the original truth values for the statements F and S (in black), we see that the whole statement is false ONLY WHEN it is true that Timmy is five, but false that he is six, OR when it is false that Timmy is five, but true when he is six. On the other hand, the statement would come out false if it was true that Timmy is five AND true that he is six, or if it were false that he is five AND false that he is six. Intuitively, this is the correct result. 2. Truth Tables for 3-Letter Compound Statements: Next, we will look at propositions containing THREE distinct statements. We ve seen that statements with only ONE letter get truth tables with TWO lines, and TWO letters gets a table with FOUR lines, like this: Negation: 1 Letter A A T F F T Conjunction: 2 Letters A B A B T T T T F F F T F F F F When there are THREE letters, there will be EIGHT lines. The basic formula is that there will be 2 n lines, where n=the number of statement letters. For, instance, we ll try: Warren will go to the party if and only if both Belinda and Tina go to the party Symbolized as: W (B T) ; And its truth table will look like this: W B T W (B T) T T T? T T F? T F T? T F F? F T T? F T F? F F T? F F F? 5

6 Let s determine the truth values which go in place of the question marks. We begin by writing out all 8 lines with the truth values for the three different statements filled in: W (B T) T T T T T F T F T T F F F T T F T F F F T F F F Next, let s fill in the truth values for the disjunction. The disjunction will ONLY be true when BOTH conjuncts are true. So, our table should look like this: W (B T) T T T T T T F F T F F T T F F F F T T T F T F F F F F T F F F F Next, let s fill in the final truth values for the bi-conditional. Bi-conditionals are ONLY true whenever the statements on either side of the bi-conditional have the SAME truth value. So, here, we should be comparing the letters underneath the W with the green letters underneath the. Here is the answer: W (B T) T T T T T T F T F F T F F F T T F F F F F F T T T F T T F F F T F F T F T F F F 6

7 This statement is true on the first line, and the last 3 lines. In other words, the entire proposition is true if: Line 1: W=true, B=true, T=true Line 6: W=false, B=true, T=false Line 7: W=false, B=false, T=true Line 8: W=false, B=false, T=false 3. Classifying Statements: In the truth table we just did, the red letters are an assortment of true and false. When this happens, we say that the proposition is contingent. But, sometimes, the column will be ALL T s, or ALL F s. When the truth table for the proposition is ALL T s, we say that the proposition is tautologous. When the truth table is ALL F s, we say that it is self-contradictory. So: Column Under the Main Operator All True All False At Least One True & At Least One False Statement Classification Tautologous (Logically True) Self-Contradictory (Logically False) Contingent Tautologous statements are true, but this truth depends ONLY on the FORM of the statement, and not at all on the content so they are true in a really uninteresting and uninformative way. They are trivially true. Self-Contradictory statements are always false, and their falsehood also depends upon their FORM. Since their FORM is what makes them false, they can NEVER be true, no matter WHAT the content is. Contingent statements have a form that allows for them to be EITHER true OR false, depending on whether the statements that make up its content are true or false. All of the statements we have examined so far have been contingent ones. (To see this, look at their truth tables, and notice that there are both T s and F s in the column under the main operator). Let s try one that is NOT contingent: Someone says: If you know, then you just know Symbolized as: K K 7

8 K K T T F F And, one step later: K K T T T F T F This is a tautology. The statement is true in all possible scenarios. It cannot be false. Try another: Dude It both is, and it isn t. Symbolized as: I I I I T T F F First, let s do the negation: I I T FT F TF The truth values for the negation are in green. Now, let s do the conjunction. To do that, we should compare the letters under the R and the green letters under the : I I TF FT FF TF Since conjunctions are ONLY true when BOTH conjuncts are true, there is no way that the conjunction can ever be true. So, if someone tells you that something is AND it isn t, they are claiming something impossible. Since all of the letters under the main operator (in red) are FALSE, this statement is self-contradictory. 8

Truth Table Definitions of Logical Connectives

Truth Table Definitions of Logical Connectives Truth Table Definitions of Logical Connectives 1. Truth Functions: Logicians DEFINE logical operators in terms of their relation to the truth or falsehood of the statement(s) that they are operating on.

More information

1.3 Propositional Equivalences

1.3 Propositional Equivalences 1 1.3 Propositional Equivalences The replacement of a statement with another statement with the same truth is an important step often used in Mathematical arguments. Due to this methods that produce propositions

More information

Truth Tables for Arguments

Truth Tables for Arguments ruth ables for Arguments 1. Comparing Statements: We ve looked at SINGLE propositions and assessed the truth values listed under their main operators to determine whether they were tautologous, self-contradictory,

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

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

Derivations, part 2. Let s dive in to some derivations that require the use of the last four rules:

Derivations, part 2. Let s dive in to some derivations that require the use of the last four rules: Derivations, part 2 Let s dive in to some derivations that require the use of the last four rules: 1. I Derivations: Let s start with some derivations that use conditional-introduction. (a) Here s an easy

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

Truth-Functional Logic

Truth-Functional Logic Truth-Functional Logic Syntax Every atomic sentence (A, B, C, ) is a sentence and are sentences With ϕ a sentence, the negation ϕ is a sentence With ϕ and ψ sentences, the conjunction ϕ ψ is a sentence

More information

Propositional Logic Review

Propositional Logic Review Propositional Logic Review UC Berkeley, Philosophy 142, Spring 2016 John MacFarlane The task of describing a logical system comes in three parts: Grammar Describing what counts as a formula Semantics Defining

More information

PL: Truth Trees. Handout Truth Trees: The Setup

PL: 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 information

PHIL12A Section answers, 16 February 2011

PHIL12A 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 information

THE LOGIC OF COMPOUND STATEMENTS

THE LOGIC OF COMPOUND STATEMENTS CHAPTER 2 THE LOGIC OF COMPOUND STATEMENTS Copyright Cengage Learning. All rights reserved. SECTION 2.1 Logical Form and Logical Equivalence Copyright Cengage Learning. All rights reserved. Logical Form

More information

Symbolic Logic 3. For an inference to be deductively valid it is impossible for the conclusion to be false if the premises are true.

Symbolic Logic 3. For an inference to be deductively valid it is impossible for the conclusion to be false if the premises are true. Symbolic Logic 3 Testing deductive validity with truth tables For an inference to be deductively valid it is impossible for the conclusion to be false if the premises are true. So, given that truth tables

More information

Propositional Equivalence

Propositional Equivalence Propositional Equivalence Tautologies and contradictions A compound proposition that is always true, regardless of the truth values of the individual propositions involved, is called a tautology. Example:

More information

Logic and Proofs. Jan COT3100: Applications of Discrete Structures Jan 2007

Logic and Proofs. Jan COT3100: Applications of Discrete Structures Jan 2007 COT3100: Propositional Equivalences 1 Logic and Proofs Jan 2007 COT3100: Propositional Equivalences 2 1 Translating from Natural Languages EXAMPLE. Translate the following sentence into a logical expression:

More information

Chapter 3: Logic. Diana Pell. A statement is a declarative sentence that is either true or false, but not both.

Chapter 3: Logic. Diana Pell. A statement is a declarative sentence that is either true or false, but not both. Chapter 3: Logic Diana Pell Section 3.1: Statements and Quantifiers A statement is a declarative sentence that is either true or false, but not both. Exercise 1. Decide which of the following are statements

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

2/2/2018. CS 103 Discrete Structures. Chapter 1. Propositional Logic. Chapter 1.1. Propositional Logic

2/2/2018. CS 103 Discrete Structures. Chapter 1. Propositional Logic. Chapter 1.1. Propositional Logic CS 103 Discrete Structures Chapter 1 Propositional Logic Chapter 1.1 Propositional Logic 1 1.1 Propositional Logic Definition: A proposition :is a declarative sentence (that is, a sentence that declares

More information

Choosing Logical Connectives

Choosing Logical Connectives Choosing Logical Connectives 1. Too Few Connectives?: We have chosen to use only 5 logical connectives in our constructed language of logic, L1 (they are:,,,, and ). But, we might ask, are these enough?

More information

Deduction by Daniel Bonevac. Chapter 3 Truth Trees

Deduction by Daniel Bonevac. Chapter 3 Truth Trees Deduction by Daniel Bonevac Chapter 3 Truth Trees Truth trees Truth trees provide an alternate decision procedure for assessing validity, logical equivalence, satisfiability and other logical properties

More information

Introducing Proof 1. hsn.uk.net. Contents

Introducing Proof 1. hsn.uk.net. Contents Contents 1 1 Introduction 1 What is proof? 1 Statements, Definitions and Euler Diagrams 1 Statements 1 Definitions Our first proof Euler diagrams 4 3 Logical Connectives 5 Negation 6 Conjunction 7 Disjunction

More information

1.1 Language and Logic

1.1 Language and Logic c Oksana Shatalov, Fall 2017 1 1.1 Language and Logic Mathematical Statements DEFINITION 1. A proposition is any declarative sentence (i.e. it has both a subject and a verb) that is either true or false,

More information

Logical Operators. Conjunction Disjunction Negation Exclusive Or Implication Biconditional

Logical Operators. Conjunction Disjunction Negation Exclusive Or Implication Biconditional Logical Operators Conjunction Disjunction Negation Exclusive Or Implication Biconditional 1 Statement meaning p q p implies q if p, then q if p, q when p, q whenever p, q q if p q when p q whenever p p

More information

Introduction to Sets and Logic (MATH 1190)

Introduction to Sets and Logic (MATH 1190) Introduction to Sets Logic () Instructor: Email: shenlili@yorku.ca Department of Mathematics Statistics York University Sept 18, 2014 Outline 1 2 Tautologies Definition A tautology is a compound proposition

More information

First Degree Entailment

First Degree Entailment First Degree Entailment Melvin Fitting March 30, 2018 1 Truth Tables First Degree Entailment is a four-valued logic whose importance has become ever more apparent over the years. It arose out of work on

More information

LOGIC CONNECTIVES. Students who have an ACT score of at least 30 OR a GPA of at least 3.5 can receive a college scholarship.

LOGIC CONNECTIVES. Students who have an ACT score of at least 30 OR a GPA of at least 3.5 can receive a college scholarship. LOGIC In mathematical and everyday English language, we frequently use logic to express our thoughts verbally and in writing. We also use logic in numerous other areas such as computer coding, probability,

More information

COM S 330 Homework 02 Solutions. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem.

COM S 330 Homework 02 Solutions. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem. Type your answers to the following questions and submit a PDF file to Blackboard. One page per problem. Problem 1. [5pts] Construct a truth table for the compound proposition (p q) ( p r). Solution: (only

More information

1.1 Statements and Compound Statements

1.1 Statements and Compound Statements Chapter 1 Propositional Logic 1.1 Statements and Compound Statements A statement or proposition is an assertion which is either true or false, though you may not know which. That is, a statement is something

More information

1.1 Language and Logic

1.1 Language and Logic c Oksana Shatalov, Spring 2018 1 1.1 Language and Logic Mathematical Statements DEFINITION 1. A proposition is any declarative sentence (i.e. it has both a subject and a verb) that is either true or false,

More information

Topic 1: Propositional logic

Topic 1: Propositional logic Topic 1: Propositional logic Guy McCusker 1 1 University of Bath Logic! This lecture is about the simplest kind of mathematical logic: propositional calculus. We discuss propositions, which are statements

More information

CHAPTER 6 - THINKING ABOUT AND PRACTICING PROPOSITIONAL LOGIC

CHAPTER 6 - THINKING ABOUT AND PRACTICING PROPOSITIONAL LOGIC 1 CHAPTER 6 - THINKING ABOUT AND PRACTICING PROPOSITIONAL LOGIC Here, you ll learn: what it means for a logic system to be finished some strategies for constructing proofs Congratulations! Our system of

More information

A Little Deductive Logic

A Little Deductive Logic A Little Deductive Logic In propositional or sentential deductive logic, we begin by specifying that we will use capital letters (like A, B, C, D, and so on) to stand in for sentences, and we assume that

More information

Chapter 1 Review of Equations and Inequalities

Chapter 1 Review of Equations and Inequalities Chapter 1 Review of Equations and Inequalities Part I Review of Basic Equations Recall that an equation is an expression with an equal sign in the middle. Also recall that, if a question asks you to solve

More information

Chapter 1: Formal Logic

Chapter 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 information

KB Agents and Propositional Logic

KB Agents and Propositional Logic Plan Knowledge-Based Agents Logics Propositional Logic KB Agents and Propositional Logic Announcements Assignment2 mailed out last week. Questions? Knowledge-Based Agents So far, what we ve done is look

More information

Ella failed to drop the class. Ella dropped the class.

Ella failed to drop the class. Ella dropped the class. Propositional logic In many cases, a sentence is built up from one or more simpler sentences. To see what follows from such a complicated sentence, it is helpful to distinguish the simpler sentences from

More information

Propositional logic ( ): Review from Mat 1348

Propositional logic ( ): Review from Mat 1348 CSI 2101 / Winter 2008: Discrete Structures. Propositional logic ( 1.1-1.2): Review from Mat 1348 Dr. Nejib Zaguia - Winter 2008 1 Propositional logic: Review Mathematical Logic is a tool for working with

More information

PHI Propositional Logic Lecture 2. Truth Tables

PHI Propositional Logic Lecture 2. Truth Tables PHI 103 - Propositional Logic Lecture 2 ruth ables ruth ables Part 1 - ruth unctions for Logical Operators ruth unction - the truth-value of any compound proposition determined solely by the truth-value

More information

PROPOSITIONAL CALCULUS

PROPOSITIONAL CALCULUS PROPOSITIONAL CALCULUS A proposition is a complete declarative sentence that is either TRUE (truth value T or 1) or FALSE (truth value F or 0), but not both. These are not propositions! Connectives and

More information

A Little Deductive Logic

A Little Deductive Logic A Little Deductive Logic In propositional or sentential deductive logic, we begin by specifying that we will use capital letters (like A, B, C, D, and so on) to stand in for sentences, and we assume that

More information

Discrete Mathematical Structures. Chapter 1 The Foundation: Logic

Discrete Mathematical Structures. Chapter 1 The Foundation: Logic Discrete Mathematical Structures Chapter 1 he oundation: Logic 1 Lecture Overview 1.1 Propositional Logic 1.2 Propositional Equivalences 1.3 Quantifiers l l l l l Statement Logical Connectives Conjunction

More information

5. And. 5.1 The conjunction

5. And. 5.1 The conjunction 5. And 5.1 The conjunction To make our logical language more easy and intuitive to use, we can now add to it elements that make it able to express the equivalents of other sentences from a natural language

More information

Tautologies, Contradictions, and Contingencies

Tautologies, Contradictions, and Contingencies Section 1.3 Tautologies, Contradictions, and Contingencies A tautology is a proposition which is always true. Example: p p A contradiction is a proposition which is always false. Example: p p A contingency

More information

The paradox of knowability, the knower, and the believer

The paradox of knowability, the knower, and the believer The paradox of knowability, the knower, and the believer Last time, when discussing the surprise exam paradox, we discussed the possibility that some claims could be true, but not knowable by certain individuals

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

Section 1.2 Propositional Equivalences. A tautology is a proposition which is always true. A contradiction is a proposition which is always false.

Section 1.2 Propositional Equivalences. A tautology is a proposition which is always true. A contradiction is a proposition which is always false. Section 1.2 Propositional Equivalences A tautology is a proposition which is always true. Classic Example: P P A contradiction is a proposition which is always false. Classic Example: P P A contingency

More information

Propositional Logic: Equivalence

Propositional Logic: Equivalence Propositional Logic: Equivalence Alice Gao Lecture 5 Based on work by J. Buss, L. Kari, A. Lubiw, B. Bonakdarpour, D. Maftuleac, C. Roberts, R. Trefler, and P. Van Beek 1/42 Outline Propositional Logic:

More information

Proving logical equivalencies (1.3)

Proving logical equivalencies (1.3) EECS 203 Spring 2016 Lecture 2 Page 1 of 6 Proving logical equivalencies (1.3) One thing we d like to do is prove that two logical statements are the same, or prove that they aren t. Vocabulary time In

More information

Gödel s Incompleteness Theorems

Gödel s Incompleteness Theorems Seminar Report Gödel s Incompleteness Theorems Ahmet Aspir Mark Nardi 28.02.2018 Supervisor: Dr. Georg Moser Abstract Gödel s incompleteness theorems are very fundamental for mathematics and computational

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

Logic. Definition [1] A logic is a formal language that comes with rules for deducing the truth of one proposition from the truth of another.

Logic. Definition [1] A logic is a formal language that comes with rules for deducing the truth of one proposition from the truth of another. Math 0413 Appendix A.0 Logic Definition [1] A logic is a formal language that comes with rules for deducing the truth of one proposition from the truth of another. This type of logic is called propositional.

More information

5. And. 5.1 The conjunction

5. And. 5.1 The conjunction 5. And 5.1 The conjunction To make our logical language more easy and intuitive to use, we can now add to it elements that make it able to express the equivalents of other sentences from a natural language

More information

DISCRETE MATHEMATICS BA202

DISCRETE MATHEMATICS BA202 TOPIC 1 BASIC LOGIC This topic deals with propositional logic, logical connectives and truth tables and validity. Predicate logic, universal and existential quantification are discussed 1.1 PROPOSITION

More information

EECS 1028 M: Discrete Mathematics for Engineers

EECS 1028 M: Discrete Mathematics for Engineers EECS 1028 M: Discrete Mathematics for Engineers Suprakash Datta Office: LAS 3043 Course page: http://www.eecs.yorku.ca/course/1028 Also on Moodle S. Datta (York Univ.) EECS 1028 W 18 1 / 26 Why Study Logic?

More information

3 The Semantics of the Propositional Calculus

3 The Semantics of the Propositional Calculus 3 The Semantics of the Propositional Calculus 1. Interpretations Formulas of the propositional calculus express statement forms. In chapter two, we gave informal descriptions of the meanings of the logical

More information

FUNDAMENTALS OF MATHEMATICS HANDOUT 1.3 DR. MCLOUGHLIN

FUNDAMENTALS OF MATHEMATICS HANDOUT 1.3 DR. MCLOUGHLIN 021 McLoughlin Handout 1.3, page 1 of 6 FUNDAMENTALS OF MATHEMATICS HANDOUT 1.3 DR. MCLOUGHLIN Truth Table for Not K K T F F T Truth Table for And B M B M T F F F T F F F F Truth Table for Or R S R S T

More information

Computation and Logic Definitions

Computation 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 information

Chapter 1. Foundations of GMAT Math. Arithmetic

Chapter 1. Foundations of GMAT Math. Arithmetic Chapter of Foundations of GMAT Math In This Chapter Quick-Start Definitions Basic Numbers Greater Than and Less Than Adding and Subtracting Positives and Negatives Multiplying and Dividing Distributing

More information

CHAPTER 1 - LOGIC OF COMPOUND STATEMENTS

CHAPTER 1 - LOGIC OF COMPOUND STATEMENTS CHAPTER 1 - LOGIC OF COMPOUND STATEMENTS 1.1 - Logical Form and Logical Equivalence Definition. A statement or proposition is a sentence that is either true or false, but not both. ex. 1 + 2 = 3 IS a statement

More information

Logic and Truth Tables

Logic 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 information

Arguments and Proofs. 1. A set of sentences (the premises) 2. A sentence (the conclusion)

Arguments and Proofs. 1. A set of sentences (the premises) 2. A sentence (the conclusion) Arguments and Proofs For the next section of this course, we will study PROOFS. A proof can be thought of as the formal representation of a process of reasoning. Proofs are comparable to arguments, since

More information

Properties of Arithmetic

Properties of Arithmetic Excerpt from "Prealgebra" 205 AoPS Inc. 4 6 7 4 5 8 22 23 5 7 0 Arithmetic is being able to count up to twenty without taking o your shoes. Mickey Mouse CHAPTER Properties of Arithmetic. Why Start with

More information

First Order Logic: Syntax and Semantics

First Order Logic: Syntax and Semantics irst Order Logic: Syntax and Semantics COMP30412 Sean Bechhofer sean.bechhofer@manchester.ac.uk Logic Recap You should already know the basics of irst Order Logic (OL) It s a prerequisite of this course!

More information

2.2: Logical Equivalence: The Laws of Logic

2.2: 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 information

Chapter 4: Classical Propositional Semantics

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 information

~ p is always false. Based on the basic truth table for disjunction, if q is true then p ~

~ p is always false. Based on the basic truth table for disjunction, if q is true then p ~ MAT 101 Solutions Exam 2 (Logic, Part I) Multiple-Choice Questions 1. D Because this sentence contains exactly ten words, it is stating that it is false. But if it is taken to be false, then it has to

More information

MAT 101 Exam 2 Logic (Part I) Fall Circle the correct answer on the following multiple-choice questions.

MAT 101 Exam 2 Logic (Part I) Fall Circle the correct answer on the following multiple-choice questions. Name: MA 101 Exam 2 Logic (Part I) all 2017 Multiple-Choice Questions [5 pts each] Circle the correct answer on the following multiple-choice questions. 1. Which of the following is not a statement? a)

More information

Chapter Summary. Propositional Logic. Predicate Logic. Proofs. The Language of Propositions (1.1) Applications (1.2) Logical Equivalences (1.

Chapter Summary. Propositional Logic. Predicate Logic. Proofs. The Language of Propositions (1.1) Applications (1.2) Logical Equivalences (1. Chapter 1 Chapter Summary Propositional Logic The Language of Propositions (1.1) Applications (1.2) Logical Equivalences (1.3) Predicate Logic The Language of Quantifiers (1.4) Logical Equivalences (1.4)

More information

Russell s logicism. Jeff Speaks. September 26, 2007

Russell s logicism. Jeff Speaks. September 26, 2007 Russell s logicism Jeff Speaks September 26, 2007 1 Russell s definition of number............................ 2 2 The idea of reducing one theory to another.................... 4 2.1 Axioms and theories.............................

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

THE LOGIC OF COMPOUND STATEMENTS

THE LOGIC OF COMPOUND STATEMENTS CHAPTER 2 THE LOGIC OF COMPOUND STATEMENTS Copyright Cengage Learning. All rights reserved. SECTION 2.4 Application: Digital Logic Circuits Copyright Cengage Learning. All rights reserved. Application:

More information

Unary negation: T F F T

Unary negation: T F F T Unary negation: ϕ 1 ϕ 1 T F F T Binary (inclusive) or: ϕ 1 ϕ 2 (ϕ 1 ϕ 2 ) T T T T F T F T T F F F Binary (exclusive) or: ϕ 1 ϕ 2 (ϕ 1 ϕ 2 ) T T F T F T F T T F F F Classical (material) conditional: ϕ 1

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

Chapter 5: Section 5-1 Mathematical Logic

Chapter 5: Section 5-1 Mathematical Logic Chapter 5: Section 5-1 Mathematical Logic D. S. Malik Creighton University, Omaha, NE D. S. Malik Creighton University, Omaha, NE Chapter () 5: Section 5-1 Mathematical Logic 1 / 29 Mathematical Logic

More information

MACM 101 Discrete Mathematics I. Exercises on Propositional Logic. Due: Tuesday, September 29th (at the beginning of the class)

MACM 101 Discrete Mathematics I. Exercises on Propositional Logic. Due: Tuesday, September 29th (at the beginning of the class) MACM 101 Discrete Mathematics I Exercises on Propositional Logic. Due: Tuesday, September 29th (at the beginning of the class) SOLUTIONS 1. Construct a truth table for the following compound proposition:

More information

Before you get started, make sure you ve read Chapter 1, which sets the tone for the work we will begin doing here.

Before you get started, make sure you ve read Chapter 1, which sets the tone for the work we will begin doing here. Chapter 2 Mathematics and Logic Before you get started, make sure you ve read Chapter 1, which sets the tone for the work we will begin doing here. 2.1 A Taste of Number Theory In this section, we will

More information

Logic I - Session 10 Thursday, October 15,

Logic I - Session 10 Thursday, October 15, Logic I - Session 10 Thursday, October 15, 2009 1 Plan Re: course feedback Review of course structure Recap of truth-functional completeness? Soundness of SD Thursday, October 15, 2009 2 The course structure

More information

Section L.1- Introduction to Logic

Section L.1- Introduction to Logic Section L.1- Introduction to Logic Definition: A statement, or proposition, is a declarative sentence that can be classified as either true or false, but not both. Example 1: Which of the following are

More information

CS1021. Why logic? Logic about inference or argument. Start from assumptions or axioms. Make deductions according to rules of reasoning.

CS1021. Why logic? Logic about inference or argument. Start from assumptions or axioms. Make deductions according to rules of reasoning. 3: Logic Why logic? Logic about inference or argument Start from assumptions or axioms Make deductions according to rules of reasoning Logic 3-1 Why logic? (continued) If I don t buy a lottery ticket on

More information

Supplementary Logic Notes CSE 321 Winter 2009

Supplementary Logic Notes CSE 321 Winter 2009 1 Propositional Logic Supplementary Logic Notes CSE 321 Winter 2009 1.1 More efficient truth table methods The method of using truth tables to prove facts about propositional formulas can be a very tedious

More information

n logical not (negation) n logical or (disjunction) n logical and (conjunction) n logical exclusive or n logical implication (conditional)

n logical not (negation) n logical or (disjunction) n logical and (conjunction) n logical exclusive or n logical implication (conditional) Discrete Math Review Discrete Math Review (Rosen, Chapter 1.1 1.6) TOPICS Propositional Logic Logical Operators Truth Tables Implication Logical Equivalence Inference Rules What you should know about propositional

More information

Chapter 1: The Logic of Compound Statements. January 7, 2008

Chapter 1: The Logic of Compound Statements. January 7, 2008 Chapter 1: The Logic of Compound Statements January 7, 2008 Outline 1 1.1 Logical Form and Logical Equivalence 2 1.2 Conditional Statements 3 1.3 Valid and Invalid Arguments Central notion of deductive

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

CSE 20 DISCRETE MATH WINTER

CSE 20 DISCRETE MATH WINTER CSE 20 DISCRETE MATH WINTER 2016 http://cseweb.ucsd.edu/classes/wi16/cse20-ab/ Reminders Exam 1 in one week One note sheet ok Review sessions Saturday / Sunday Assigned seats: seat map on Piazza shortly

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

a. ~p : if p is T, then ~p is F, and vice versa

a. ~p : if p is T, then ~p is F, and vice versa Lecture 10: Propositional Logic II Philosophy 130 3 & 8 November 2016 O Rourke & Gibson I. Administrative A. Group papers back to you on November 3. B. Questions? II. The Meaning of the Conditional III.

More information

Unit 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 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 information

Section 3.1 Statements, Negations, and Quantified Statements

Section 3.1 Statements, Negations, and Quantified Statements Section 3.1 Statements, Negations, and Quantified Statements Objectives 1. Identify English sentences that are statements. 2. Express statements using symbols. 3. Form the negation of a statement 4. Express

More information

Predicate Logic & Quantification

Predicate Logic & Quantification Predicate Logic & Quantification Things you should do Homework 1 due today at 3pm Via gradescope. Directions posted on the website. Group homework 1 posted, due Tuesday. Groups of 1-3. We suggest 3. In

More information

CSE 20: Discrete Mathematics

CSE 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 information

Formal Logic. Critical Thinking

Formal Logic. Critical Thinking ormal Logic Critical hinking Recap: ormal Logic If I win the lottery, then I am poor. I win the lottery. Hence, I am poor. his argument has the following abstract structure or form: If P then Q. P. Hence,

More information

Final Exam Theory Quiz Answer Page

Final Exam Theory Quiz Answer Page Philosophy 120 Introduction to Logic Final Exam Theory Quiz Answer Page 1. (a) is a wff (and a sentence); its outer parentheses have been omitted, which is permissible. (b) is also a wff; the variable

More information

Mathematical Reasoning (Part I) 1

Mathematical Reasoning (Part I) 1 c Oksana Shatalov, Spring 2017 1 Mathematical Reasoning (art I) 1 Statements DEFINITION 1. A statement is any declarative sentence 2 that is either true or false, but not both. A statement cannot be neither

More information

STRATEGIES OF PROBLEM SOLVING

STRATEGIES OF PROBLEM SOLVING STRATEGIES OF PROBLEM SOLVING Second Edition Maria Nogin Department of Mathematics College of Science and Mathematics California State University, Fresno 2014 2 Chapter 1 Introduction Solving mathematical

More information

Announcements For Methods of Proof for Boolean Logic Proof by Contradiction. Outline. The Big Picture Where is Today? William Starr

Announcements For Methods of Proof for Boolean Logic Proof by Contradiction. Outline. The Big Picture Where is Today? William Starr Announcements For 09.22 Methods of for Boolean Logic William Starr 1 HW1 grades will be on Bb by end of week 2 HW4 is due on Tuesday This one is mostly written Feel free to type it out! 3 If you have problems

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

2/13/2012. Logic: Truth Tables. CS160 Rosen Chapter 1. Logic?

2/13/2012. Logic: Truth Tables. CS160 Rosen Chapter 1. Logic? Logic: Truth Tables CS160 Rosen Chapter 1 Logic? 1 What is logic? Logic is a truth-preserving system of inference Truth-preserving: If the initial statements are true, the inferred statements will be true

More information

THE LOGIC OF COMPOUND STATEMENTS

THE LOGIC OF COMPOUND STATEMENTS THE LOGIC OF COMPOUND STATEMENTS All dogs have four legs. All tables have four legs. Therefore, all dogs are tables LOGIC Logic is a science of the necessary laws of thought, without which no employment

More information

Language of Propositional Logic

Language 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 information

UNIT-I: Propositional Logic

UNIT-I: Propositional Logic 1. Introduction to Logic: UNIT-I: Propositional Logic Logic: logic comprises a (formal) language for making statements about objects and reasoning about properties of these objects. Statements in a logical

More information