Section Summary. Predicate logic Quantifiers. Negating Quantifiers. Translating English to Logic. Universal Quantifier Existential Quantifier

Similar documents
Section Summary. Predicate logic Quantifiers. Negating Quantifiers. Translating English to Logic. Universal Quantifier Existential Quantifier

Propositional Logic Not Enough

Section Summary. Predicates Variables Quantifiers. Negating Quantifiers. Translating English to Logic Logic Programming (optional)

Proposi'onal Logic Not Enough

Announcements CompSci 102 Discrete Math for Computer Science

Chapter 1, Part II: Predicate Logic

Discrete Mathematics and Its Applications

Review. Propositional Logic. Propositions atomic and compound. Operators: negation, and, or, xor, implies, biconditional.

Introduction to Sets and Logic (MATH 1190)

Transparencies to accompany Rosen, Discrete Mathematics and Its Applications Section 1.3. Section 1.3 Predicates and Quantifiers

Section Summary. Section 1.5 9/9/2014

ICS141: Discrete Mathematics for Computer Science I

Discrete Structures Lecture Predicates and Quantifiers

! Predicates! Variables! Quantifiers. ! Universal Quantifier! Existential Quantifier. ! Negating Quantifiers. ! De Morgan s Laws for Quantifiers

Predicates and Quantifiers. Nested Quantifiers Discrete Mathematic. Chapter 1: Logic and Proof

Today s Lecture. ICS 6B Boolean Algebra & Logic. Predicates. Chapter 1: Section 1.3. Propositions. For Example. Socrates is Mortal

1.3 Predicates and Quantifiers

MAT2345 Discrete Math

Predicate Calculus lecture 1

Predicate Calculus - Syntax

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

Predicates and Quantifiers. CS 231 Dianna Xu

Recall that the expression x > 3 is not a proposition. Why?

Logical Operators. Conjunction Disjunction Negation Exclusive Or Implication Biconditional

Discrete Structures for Computer Science

Predicate Logic Thursday, January 17, 2013 Chittu Tripathy Lecture 04

3/29/2017. Logic. Propositions and logical operations. Main concepts: propositions truth values propositional variables logical operations

CS 220: Discrete Structures and their Applications. Predicate Logic Section in zybooks

Lecture Predicates and Quantifiers 1.5 Nested Quantifiers

PREDICATE LOGIC. Schaum's outline chapter 4 Rosen chapter 1. September 11, ioc.pdf

THE LOGIC OF QUANTIFIED STATEMENTS. Predicates and Quantified Statements I. Predicates and Quantified Statements I CHAPTER 3 SECTION 3.

Discrete Mathematics & Mathematical Reasoning Predicates, Quantifiers and Proof Techniques

Section 2.1: Introduction to the Logic of Quantified Statements

Chapter 1 Elementary Logic

3. The Logic of Quantified Statements Summary. Aaron Tan August 2017

Thinking of Nested Quantification

2. Use quantifiers to express the associative law for multiplication of real numbers.

Math.3336: Discrete Mathematics. Nested Quantifiers

Logical equivalences 12/8/2015. S T: Two statements S and T involving predicates and quantifiers are logically equivalent

Nested Quantifiers. Predicates and. Quantifiers. Agenda. Limitation of Propositional Logic. Try to represent them using propositional.

Why Learning Logic? Logic. Propositional Logic. Compound Propositions

Predicate Logic. CSE 191, Class Note 02: Predicate Logic Computer Sci & Eng Dept SUNY Buffalo

Mat 243 Exam 1 Review

Predicate Logic. Example. Statements in Predicate Logic. Some statements cannot be expressed in propositional logic, such as: Predicate Logic

DISCRETE MATHEMATICS BA202

Conjunction: 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 3. The Logic of Quantified Statements

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

1.1 Language and Logic

1 Predicates and Quantifiers

Predicate Logic: Sematics Part 1

Chapter 2: The Logic of Quantified Statements. January 22, 2010

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

Math.3336: Discrete Mathematics. Nested Quantifiers/Rules of Inference

2/18/14. What is logic? Proposi0onal Logic. Logic? Propositional Logic, Truth Tables, and Predicate Logic (Rosen, Sections 1.1, 1.2, 1.

COMP 182 Algorithmic Thinking. Proofs. Luay Nakhleh Computer Science Rice University

Denote John by j and Smith by s, is a bachelor by predicate letter B. The statements (1) and (2) may be written as B(j) and B(s).

First order Logic ( Predicate Logic) and Methods of Proof

Logic and Propositional Calculus

Predicate Logic. Predicates. Math 173 February 9, 2010

4 Quantifiers and Quantified Arguments 4.1 Quantifiers


THE LOGIC OF QUANTIFIED STATEMENTS

Predicate Logic & Quantification

2-4: The Use of Quantifiers

THE LOGIC OF QUANTIFIED STATEMENTS

Solutions to Exercises (Sections )

Logic and Propositional Calculus

University of Aberdeen, Computing Science CS2013 Predicate Logic 4 Kees van Deemter

III. Elementary Logic

Rosen, Discrete Mathematics and Its Applications, 6th edition Extra Examples

Discrete Mathematical Structures. Chapter 1 The Foundation: Logic

EECS 1028 M: Discrete Mathematics for Engineers

Logic. Logic is a discipline that studies the principles and methods used in correct reasoning. It includes:

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

LING 501, Fall 2004: Quantification


1 The Foundation: Logic and Proofs

Department of Computer Science & Software Engineering Comp232 Mathematics for Computer Science

First-Order Logic (FOL)

MACM 101 Discrete Mathematics I. Exercises on Predicates and Quantifiers. Due: Tuesday, October 13th (at the beginning of the class)

Math Fundamentals of Higher Math

Variable Names. Some Ques(ons about Quan(fiers (but answers are not proven just stated here!) x ( z Q(z) y P(x,y) )

Discrete Structures Lecture 5

STRATEGIES OF PROBLEM SOLVING

Predicates, Quantifiers and Nested Quantifiers

Predicate in English. Predicates and Quantifiers. Predicate in Logic. Propositional Functions: Prelude. Propositional Function

3. Only sequences that were formed by using finitely many applications of rules 1 and 2, are propositional formulas.

Today. Proof using contrapositive. Compound Propositions. Manipulating Propositions. Tautology

CS156: The Calculus of Computation Zohar Manna Winter 2010

With Question/Answer Animations. Chapter 2

Quantifiers. P. Danziger

Introduction to Predicate Logic Part 1. Professor Anita Wasilewska Lecture Notes (1)

CSC Discrete Math I, Spring Propositional Logic

1.1 Language and Logic

Section 1.3. Let I be a set. When I is used in the following context,

1 The Foundation: Logic and Proofs

ECOM Discrete Mathematics

Philosophy 240 Symbolic Logic Russell Marcus Hamilton College Fall 2014

Logic. Propositional Logic: Syntax

Transcription:

Section 1.4

Section Summary Predicate logic Quantifiers Universal Quantifier Existential Quantifier Negating Quantifiers De Morgan s Laws for Quantifiers Translating English to Logic

Propositional Logic is not Enough Propositional logic cannot adequately express the meaning of all statements in mathematics and in natural language No rules of propositional logic allow us to conclude the truth of the statement Every computer connected to the university network is functioning properly If we have: All men are mortal. Jason is a man. Statement with relation Does it follow that Jason is mortal? x>3 Variable

Predicates ways that propositions can be produced from the following statements Statements involving variables x is greater than 3 computer x is under attack by an intruder Neither true or false when the values of variables are not specified. Statements contain two parts: Variable: x is the subject of the statement Predicate: P is greater than 3 -- property that the subject of the statement can have propositional function: P(x)

Predicates Statements contain two parts: Variables: x, y, z, is the subject of the statement Predicate: P,M, property that the subject of the statement can have propositional function P(x), M(x), is said to be the value of the propositional function P at x

Propositional Functions Propositional functions are a generalization of propositions. They contain variables and a predicate, e.g., P(x) Variables can be replaced by elements from their domain. Propositional functions become propositions when their variables are each replaced by a value from the domain (or bound by a quantifier, as we will see later). The statement P(x) is said to be the value of the propositional function P at x. For example, let P(x) denote x > 0 and the domain be the integers. Then: P(-3) is false. P(0) is false. P(3) is true. Often the domain is denoted by U. So in this example U is the integers.

Propositional Functions A statement involving the n variables x 1,x 2,,x n can be denoted by P(x 1,x 2,,x n ), is the value of the propositional function P at the n-tuple(x 1,x 2,,x n ), and P is also called n-place predicate or a n- ary predicate. Example: Let x + y = z be denoted by R(x, y, z) and U (for all three variables) be the integers. Find these truth values: R(2,-1,5) R(3,4,7) Solution: F Solution: T R(x, 3, z) Solution: Not a Proposition

Propositional Functions Example: let x - y = z be denoted by Q(x, y, z), with U as the integers. Find these truth values: Q(2,-1,3) Solution: T Q(3,4,7) Solution: F Q(x, 3, z) Solution: Not a Proposition

Propositional Functions Let A(x) denote the statement Computer x is under attack by an intruder. Suppose that of the computers on campus, only CS2 and MATH1 are currently under attack by intruders. What are truth values of A(CS1), A(CS2), and A(MATH1) A(CS1) is false A(CS2) and A(MATH1) are true

Propositional Functions Let A(c, n) denote the statement Computer c is connected to network n, where c is a variable representing a computer and n is a variable representing a network. Suppose that the computer MATH1 is connected to network CAMPUS2, but not to network CAMPUS1. What are the values of A(MATH1, CAMPUS1) and A(MATH1, CAMPUS2)? A(MATH1, CAMPUS1) is false A(MATH1, CAMPUS2) is true

Compound Expressions Connectives from propositional logic carry over to predicate logic. If P(x) denotes x > 0, find these truth values: P(3) P(-1) T P(3) P(-1) F P(3) P(-1) F P(3) P(-1) F Expressions with variables are not propositions and therefore do not have truth values. For example, P(3) P(y), P(x) P(y)

Quantifiers Two ways to generate propositions Assign values to the variables Quantification: express the extent to which a predicate is true over a range of elements. Quantifiers to express the meaning of English words including all,some, many, none and few: All men are Mortal. Some cats do not have fur.

Quantifiers The two most important quantifiers are: Universal Quantifier, For all, symbol: A predicate is true for every element under consideration Existential Quantifier, There exists, symbol: One or more element under consideration for which the predicate is true The area of logic that deals with predicates and quantifiers is called the predicate calculus

Universal Quantification Definition 1: The universal quantification of P(x) is the statement P(x) for all values of x in the domain is denoted by x P(x), which is read as For all x, P(x) or For every x, P(x), where is called the universal quantifier. An element for which P(x) is false is called a counterexample ofx P(x) Examples: If P(x) denotes x > 0 and U is the integers, then x P(x) is false. If P(x) denotes x > 0 and U is the positive integers, then x P(x) is true. If P(x) denotes x is even and U is the integers, then x P(x) is false. Different expressions: for every, all of, for each, given any, for arbitrary, for each

Universal Quantification Example: what is the truth value of x P(x), where P(x) is the statement x 2 <10 and the domain consists of the positive integers not exceeding 4? Solution: P(1)ΛP(2)ΛP(3)ΛP(4) false What does the statement xn(x) mean if N(x) is computer x is connected to the network and the domain consists of all computer on campus? Solution: every computer on campus is connected to the network

Example

Existential Quantification Definition 2: the existential quantification of P(x) is the proposition There exists an element x in the domain such that P(x). It is denoted by x P(x),which is read as For some x, P(x), or as There is an x such that P(x), or For at least one x, P(x). Here is called the existential quantifier. A domain is always be specified when a statement x P(x) is used. Examples: If P(x) denotes x > 0 and U is the integers, then x P(x) is true. It is also true if U is the positive integers. If P(x) denotes x < 0 and U is the positive integers, then x P(x) is false. If P(x) denotes x is even and U is the integers, then x P(x) is true.

Example

Quantifiers We write as in x P(x) and x P(x). x P(x) asserts P(x) is true for every x in the domain. x P(x) asserts P(x) is true for some x in the domain. The quantifiers are said to bind the variable x in these expressions.

Uniqueness Quantification!x P(x) means that P(x) is true for one and only one x in the universe of discourse, where! is called the uniqueness quantifier. This is commonly expressed in English in the following equivalent ways: There is a unique x such that P(x). There is one and only one x such that P(x) Examples: 1. If P(x) denotes x + 1 = 0 and U is the integers, then!x P(x) is true. 2. But if P(x) denotes x > 0, then!x P(x) is false.

Thinking about Quantifiers When the domain of discourse is finite, we can think of quantification as looping through the elements of the domain. To evaluate x P(x) loop through all x in the domain. If at every step P(x) is true, then x P(x) is true. If at a step P(x) is false, then x P(x) is false and the loop terminates. To evaluate x P(x) loop through all x in the domain. If at some step, P(x) is true, then x P(x) is true and the loop terminates. If the loop ends without finding an x for which P(x) is true, then x P(x) is false. Even if the domains are infinite, we can still think of the quantifiers this fashion, but the loops will not terminate in some cases.

Thinking about Quantifiers as Conjunctions and Disjunctions If the domain is finite, a universally quantified proposition is equivalent to a conjunction of propositions without quantifiers and an existentially quantified proposition is equivalent to a disjunction of propositions without quantifiers. If U consists of the integers 1,2, and 3: Even if the domains are infinite, you can still think of the quantifiers in this fashion, but the equivalent expressions without quantifiers will be infinitely long.

Properties of Quantifiers The truth value of x P(x) and x P(x) depend on both the propositional function P(x) and on the domain U. Examples: If U is the positive integers and P(x) is the statement x < 2, then x P(x) True x P(x) false. If U is the negative integers and P(x) is the statement x < 2, then x P(x) true x P(x). true

Properties of Quantifiers Examples: If U consists of 3, 4, and 5, and P(x) is the statement x > 2, then x P(x) true. x P(x) true. if P(x) is the statement x < 2, then x P(x) false x P(x) false.

Precedence of Quantifiers The quantifiers and have higher precedence than all the logical operators. For example, x P(x) Q(x) means (x P(x)) Q(x) x (P(x) Q(x)) means something different.

Equivalences in Predicate Logic Statements involving predicates and quantifiers are logically equivalent if and only if they have the same truth value for every predicate substituted into these statements and for every domain used for the variables in the expressions. The notation S T indicates that S and T are logically equivalent. Example: x(p(x)λq(x)) x P(x)Λ x Q(x)

Negating Quantified Expressions Consider x J(x) Every student in your class has taken a course in calculus. Here J(x) is x has taken a course in calculus and the domain is students in your class. Negating the original statement gives It is not the case that every student in your class has taken calculus. This implies that There is a student in your class who has not taken calculus. Symbolically x J(x) and x J(x) are equivalent

Negating Quantified Expressions Now Consider x J(x) There is a student in this class who has taken a course in Java. Where J(x) is x has taken a course in Java. Negating the original statement gives It is not the case that there is a student in this class who has taken Java. This implies that Every student in this class has not taken Java Symbolically x J(x) and x J(x) are equivalent

De Morgan s Laws for Quantifiers The rules for negating quantifiers are: The reasoning in the table shows that:

Translating from English to Logic 1. Rewrite the statement so that we can clearly identify the appropriate quantifiers to use if necessary 2. Introduce variables x, y. 3. Introduce predicate P(x), Q(x). 4. Translate English statement to logic expression use predicate logic and quantifiers

Translating from English to Logic Example 1: Translate the following sentence into predicate logic: Every student in this class has taken a course in Java. Solution: Every student x in this class has taken a course in Java If U is all students in this class define a propositional function J(x) denoting x has taken a course in Java translate as x J(x). if U is all people define a propositional function S(x) denoting x is a student in this class translate as x (S(x) J(x)). x (S(x) J(x)) is not correct. What does it mean? All people are students in this class and have taken a course in Java.

Translating from English to Logic Example 2: Translate the following sentence into predicate logic: Some student in this class has taken a course in Java. Solution: There is a student in this class has taken a course in Java There is a student x in this class has taken a course in Java Solution 1: If U is all students in this class propositional function J(x) denoting x has taken a course in Java, translate as x J(x) Solution 2: if U is all people propositional function S(x) denoting x is a student in this class, then translate as x (S(x) J(x)) (some student in this class and has taken a course in Java) x (S(x) J(x)) is not correct. What does it mean? If a student in this class, than he/she has taken a course in Java

Translation from English to Logic Examples: Some student in this class has visited Mexico. U be all people Solution: Let M(x) denote x has visited Mexico and S(x) denote x is a student in this class, x (S(x) M(x)) Every student in this class has visited Canada or Mexico. Solution: Add C(x) denoting x has visited Canada. x (S(x) (M(x) C(x)))

Translation from English to Logic U = {fleegles, snurds, thingamabobs}, F(x): x is a fleegle, S(x): x is a snurd, T(x): x is a thingamabob 1. Translate Everything is a fleegle Solution: x F(x) 2. Nothing is a snurd. Solution: x S(x) What is this equivalent to? x S(x) 3. All fleegles are snurds. x (F(x) S(x)) 4. Some fleegles are thingamabobs. Solution: x (F(x) T(x)) 5. No snurd is a thingamabob. Solution: x (S(x) T(x)) is equivalent to x ( S(x) T(x)) 6. If any fleegle is a snurd then it is also a thingamabob. Solution: x ((F(x) S(x)) T(x))

System Specification Example For example, translate into predicate logic: Every mail message larger than one megabyte will be compressed. If a user is active, at least one network link will be available. Decide on predicates and domains (left implicit here) for the variables: Let L(m, y) be Mail message m is larger than y megabytes. Let C(m) denote Mail message m will be compressed. Let A(u) represent User u is active. Let S(n, x) represent Network link n is state x. Now we have: