Announcements & Such

Similar documents
Overview of Today s Lecture

Overview of Today s Lecture

2010 Part IA Formal Logic, Model Answers

I thank the author of the examination paper on which sample paper is based. VH

First-Order Logic with Identity

13. APPENDIX 1: THE SYNTAX OF PREDICATE LOGIC

Interpretations of PL (Model Theory)

1A Logic 2015 Model Answers

The Natural Deduction Pack

A Little Deductive Logic

Philosophy 148 Announcements & Such. The Probability Calculus: An Algebraic Approach XI. The Probability Calculus: An Algebraic Approach XII

A Little Deductive Logic

1A Logic 2013 Model Answers

FIRST PUBLIC EXAMINATION. Preliminary Examination in Philosophy, Politics and Economics INTRODUCTION TO PHILOSOPHY LONG VACATION 2014

Modal Logic. UIT2206: The Importance of Being Formal. Martin Henz. March 19, 2014

To every formula scheme there corresponds a property of R. This relationship helps one to understand the logic being studied.

Final Exam (100 points)

Philosophy 240: Symbolic Logic

CS 730/730W/830: Intro AI

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

Logic: Propositional Logic Truth Tables

Lecture 15: Validity and Predicate Logic

First Order Logic: Syntax and Semantics

DO NOT FORGET!!! WRITE YOUR NAME HERE. Philosophy 109 Final Exam, Spring 2007 (80 points total) ~ ( x)

Properties of Relational Logic

INTRODUCTION TO LOGIC 8 Identity and Definite Descriptions

Philosophy 240: Symbolic Logic

CHAPTER 2. FIRST ORDER LOGIC

Philosophy 148 Announcements & Such

Discrete Structures Proofwriting Checklist

Chapter 9. Modal Language, Syntax, and Semantics

On sets, functions and relations

Proseminar on Semantic Theory Fall 2013 Ling 720 Propositional Logic: Syntax and Natural Deduction 1

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

If you can figure out this derivation, better yet if you can reproduce it yourself, then you have truly mastered the universal-out rule!

Modal logics and their semantics

Philosophy 148 Announcements & Such. Independence, Correlation, and Anti-Correlation 1

Modal Logic: Exercises

Learning Goals of CS245 Logic and Computation

Propositional Logic. Jason Filippou UMCP. ason Filippou UMCP) Propositional Logic / 38

CS 730/830: Intro AI. 3 handouts: slides, asst 6, asst 7. Wheeler Ruml (UNH) Lecture 12, CS / 16. Reasoning.

CPPE TURN OVER

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

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

4 The semantics of full first-order logic

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

Predicate Logic & Quantification

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

Philosophy 148 Announcements & Such

PL: Truth Trees. Handout Truth Trees: The Setup

6. COMPLEX PREDICATES

Abstract model theory for extensions of modal logic

INTRODUCTION TO LOGIC 8 Identity and Definite Descriptions

Indicative conditionals

Classical Propositional Logic

Formal Methods in Philosophy

First-Order Logic First-Order Theories. Roopsha Samanta. Partly based on slides by Aaron Bradley and Isil Dillig

Mathematical Logic Part Three

CS 730/830: Intro AI. 1 handout: slides. Wheeler Ruml (UNH) Lecture 11, CS / 15. Propositional Logic. First-Order Logic

SYMBOLIC LOGIC UNIT 10: SINGULAR SENTENCES

Kaplan s Paradox and Epistemically Possible Worlds

Intermediate Logic Spring. Second-Order Logic

Identity. "At least one dog has fleas" is translated by an existential quantifier"

Deduction by Daniel Bonevac. Chapter 3 Truth Trees

Formal Logic: Quantifiers, Predicates, and Validity. CS 130 Discrete Structures

Predicates, Quantifiers and Nested Quantifiers

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

Propositional Logic Not Enough

CHAPTER 6 - THINKING ABOUT AND PRACTICING PROPOSITIONAL LOGIC

Overview, cont. Overview, cont. Logistics. Optional Reference #1. Optional Reference #2. Workload and Grading

Logic and Proofs 1. 1 Overview. 2 Sentential Connectives. John Nachbar Washington University December 26, 2014

GS03/4023: Validation and Verification Predicate Logic Jonathan P. Bowen Anthony Hall

Proseminar on Semantic Theory Fall 2013 Ling 720 First Order (Predicate) Logic: Syntax and Natural Deduction 1

Mat 243 Exam 1 Review

09 Modal Logic II. CS 3234: Logic and Formal Systems. October 14, Martin Henz and Aquinas Hobor

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

6c Lecture 14: May 14, 2014

Theorem. For every positive integer n, the sum of the positive integers from 1 to n is n(n+1)

MA103 STATEMENTS, PROOF, LOGIC

Predicate Calculus. Formal Methods in Verification of Computer Systems Jeremy Johnson

MAT2345 Discrete Math

Logic Overview, I. and T T T T F F F T F F F F

Meta-logic derivation rules

Introducing Proof 1. hsn.uk.net. Contents

Intermediate Logic. First-Order Logic

cis32-ai lecture # 18 mon-3-apr-2006

Logic I - Session 10 Thursday, October 15,

Realism and Idealism External Realism

Lecture 13: Soundness, Completeness and Compactness

Logical Structures in Natural Language: First order Logic (FoL)

Philosophy 148 Announcements & Such. Axiomatic Treatment of Probability Calculus I. Axiomatic Treatment of Probability Calculus II

Philosophy 148 Announcements & Such

Announcements & Overview

Handout: Proof of the completeness theorem

Intermediate Logic. Natural Deduction for TFL

Mathematical Logic Part Two

Today s Lecture 2/25/10. Truth Tables Continued Introduction to Proofs (the implicational rules of inference)

Foundation of proofs. Jim Hefferon.

Notes on Quantum Logic

GÖDEL S COMPLETENESS AND INCOMPLETENESS THEOREMS. Contents 1. Introduction Gödel s Completeness Theorem

Transcription:

Branden Fitelson Philosophy 12A Notes 1 Announcements & Such Administrative Stuff HW #6 to be handed back today. Resubs due Thursday. I will be posting both the sample in-class final and the take-home final on Thursday. [I ll discuss them Thursday.] I ll have office hours on Thursday from 2 4. [Not today.] Review session: Monday, May 10 @ 4 6pm @ Wheeler 213. GSI Office Hours: Tamar (W: 10 12 & next W: 10 12), Julia (W: 2 4 & Tu: 3 5), David (F: tba) In-class final: Thurs. May 13 @ 3 6pm here (A1 Hearst Annex). I ve posted my solutions to HW #4 (I ll post others before final). I ve posted a handout with all natural deduction rules (for final). Today: Beyond Chapter 6 L2PL Binary Relations

Branden Fitelson Philosophy 12A Notes 2 Abstract Argument Valid Abstract Argument? Articulation of Thought in English English Argument Symbolization Chapters 2, 5 & 7 Valid English Argument? Logical Form LSL / LMPL / L2PL Deciding Formal Validity Chapters 3, 4, 6 & 8 Valid Form?

Branden Fitelson Philosophy 12A Notes 3 Beyond LMPL: 2-Place Predicates (a.k.a., Relations) II From the point of view of logic (as opposed to mathematics) what matters is capturing validities. And, LMPL captures more than LSL. But, LMPL also has its own logical limitations. The problem: we can t capture some of the intuitively valid arguments involving relations. Consider the following argument, which involves a 2-place predicate: (1) Brutus killed Caesar. (2) Brutus killed someone and someone killed Caesar. If we were to symbolize this argument using monadic predicates, we would end-up with something like the following LMPL reconstruction: (1 ) Kb. (2 ) ( x)bx & ( y)ky. Where Kx: x killed Caesar, Bx: Brutus killed x, and b: Brutus. This argument is not valid in LMPL. But, the English argument is valid!

Branden Fitelson Philosophy 12A Notes 4 The problem here is that x killed y is a 2-place predicate (or relation). If we expand our language to include predicates that can take 2 arguments, then we can capture statements and arguments like these. In chapter 7, a more general language is introduced that allows n-place predicates, for any finite n. We will only discuss 2-place predicates. For instance, we can introduce the 2-place predicate Kxy: x killed y. With this relation in hand, we can express the above argument as: (1 ) Kbc. (2 ) ( x)kbx & ( y)kyc. In 2-place predicate logic ( L2PL ), this argument is valid. So, this is a more accurate and faithful formalization of the English argument. We will (in chapter 8) discuss the semantics for 2-place predicate logic (L2PL). The natural deduction system for L2PL is the same as LMPL s! Before that, we will look at various complexities of L2PL symbolization.

Branden Fitelson Philosophy 12A Notes 5 Some Sample L2PL Symbolization Problems 1. Someone loves someone. [Lxy: x loves y] First, work on the the quantifier with widest scope, then work in. There exists an x such that x loves someone. (i) ( x) x loves someone. Now, work on expression within the scope of the quantifier in (i). (ii) x loves someone there exists a y such that Lxy ( y)lxy Plugging the symbolization of (ii) into (i) yields the final product: ( x)( y)lxy

Branden Fitelson Philosophy 12A Notes 6 2. Everyone loves everyone. For all x, x loves everyone. ( x) x loves everyone. x loves everyone ( y)lxy ( x)( y)lxy 3. Everyone loves someone. For all x, x loves someone. ( x) x loves someone. x loves someone ( y)lxy ( x)( y)lxy 4. Someone loves everyone. There exists an x such that x loves everyone. ( x) x loves everyone. x loves everyone ( y)lxy ( x)( y)lxy

Branden Fitelson Philosophy 12A Notes 7 Four Important Properties of Binary Relations Reflexivity. A binary relation R is said to be reflexive iff ( x)rxx. Symmetry. R is symmetric iff ( x)( y)(rxy Ryx). Transitivity. R is transitive iff ( x)( y)( z)[(rxy & Ryz) Rxz]. If R has all three of these properties, then R is an equivalence relation. Fact. If R is Euclidean and reflexive, then R is an equivalence relation. Relation Reflexive? Symmetric? Transitive? Euclidean? x > y No No Yes No x y Yes No Yes No x is a sibling of y No Yes No No x y Yes Yes No No x respects y No No No No x = y Yes Yes Yes Yes

Branden Fitelson Philosophy 12A Notes 8 L2PL Interpretations I Here s an example L2PL interpretation. Oxy: x was older than y, D: The Three Stooges, Ref(a) = Curly, Ref(b) = Larry, and Ref(c) = Moe. The matrix representation of Ext(O) for this interpretation is: O α β γ α + + β + γ The pictorial or diagrammatic representation of Ext(O) is: β α

Branden Fitelson Philosophy 12A Notes 9 L2PL Interpretations III (I 1 ) Let D be the set consisting of George W. Bush (α) and Jeb Bush (β). And, let Bxy: x is a brother of y. Determine I 1 -truth-values for: 1. ( x)( y)bxy 2. ( y)( x)bxy α β (1) is on I 1, since both of its D-instances are on I 1. ( y)bay is on I 1 because its instance Bab is on I 1. That is, α, β Ext(B). Note: Ext(B) = { α, β, β, α }. ( y)bby is on I 1 because its instance Bba is on I 1. (2) is on I 1, since both of its D-instances are on I 1. ( x)bxa is on I 1 because its instance Baa is on I 1. That is, α, α Ext(B). ( x)bxb is on I 1 because its instance Bbb is on I 1.

Branden Fitelson Philosophy 12A Notes 10 L2PL Interpretations IV Just as with LMPL, L2PL interpretations can be used as counterexamples to validity claims. Establishing claims works just as you d expect. We have just seen an L2PL interpretation that shows the following: ( x)( y)rxy ( x)( y)rxy Interpretation I 1 on the previous slide is a counterexample. Why? ( x)( y)bxy is on I 1, since both of its instances are on I 1. ( x)( y)rxy is on I 1, since both of its instances are on I 1. Here is a very important L2PL invalidity: ( ) ( x)( y)rxy, ( x)( y)( z)[(rxy & Ryz) Rxz] ( x)rxx ( ) reveals a surprising difference between LMPL (and LSL) and L2PL sometimes infinite interpretations are needed to prove in L2PL!

Branden Fitelson Philosophy 12A Notes 11 Why ( ) is So Important L2PL vs LMPL: Infinite Domains In LMPL, if p is true on any interpretation I, then it is true on a finite interpretation. Indeed, p will be true on an interpretation of size no greater than 2 k, where k is the # of monadic predicate letters in p. In L2PL, some statements are true only on infinite interpretations. It is for this reason that there is no general decision procedure for validity (or logical truth) in L2PL. ( ) on the last slide is a good example of this. ( ) ( x)( y)rxy, ( x)( y)( z)[(rxy & Ryz) Rxz] ( x)rxx Fact. Only infinite interpretations I can be counterexamples to the validity in ( ). To see why, try to construct such an interpretation. We start by showing that no interpretation I 1 with a 1-element domain can be an interpretation on which the premises of ( ) are and its conclusion is. Then, we will repeat this argument for I 2 and I 3. This reasoning can, in fact, be shown correct for all (finite) n. So, only I s with infinite domains will work [e.g., D = N, Rxy: x < y]. Begin with a 1-element domain {α}. For the conclusion of (4) to be, no

Branden Fitelson Philosophy 12A Notes 12 object can be related to itself: ( x) Rxx. Thus, we must have Raa: But, to make the first premise, we need there to be some y such that Ray is. That means we need another object β to allow Rab. Thus: α α β Now, because we need the conclusion to remain, we must have Rbb. And, because we need the first premise to remain, we need there to be some y such that Rby is. We could try to make Rba, as follows: α β

Branden Fitelson Philosophy 12A Notes 13 But, this picture is not consistent with the second premise being and (at the same time) the conclusion being. If R is transitive, then Rab & Rba (as pictured) entails Raa, which makes the conclusion. Transitivity of R and entails: α β α β Thus, the only way to consistently ensure that there is some y such that Rby is to introduce yet another object γ (such that Rbc), which yields: α β Again, in order to make the conclusion, we must have Rcc, and in order to make the first premise, there must be some y such that Rcy. We could try to make either Rca or Rcb true. But, both of these choices will end-up with the same sort of inconsistency we just saw with β.

Branden Fitelson Philosophy 12A Notes 14 In other words, no finite interpretation will give us what we want here. However, if we let D = N and Rxy: x < y, then we get what we want. 0 1 2 3 That is, the relation Rxy: x < y on the natural numbers N is such that: For all x, there exists a y such that x < y. [seriality] For all x, y, z, if x < y and y < z, then x < z. [transitivity] For all x, x x. [irreflexivity] It is crucial that the set N of all natural numbers is infinite. The relation < cannot satisfy all three of these properties on any finite domain. I.e., no finite subset of N will suffice to show that the invalidity in (4) holds. Equivalently, the following sentence of L2PL is on all finite I s: p ( x)( y)rxy & ( x)( y)( z)[(rxy & Ryz) Rxz] & ( x) Rxx This sort of thing cannot happen in LMPL. In this sense, the introduction of a single 2-place predicate involves a quantum leap in complexity.

Branden Fitelson Philosophy 12A Notes 15 Some Further Remarks on Validity in L2PL As I just explained, there is no general decision procedure for claims in L2PL. This is because we can t always establish claims in finite time. However, there is a method for proving claims natural deduction. And, L2PL s natural deduction system is exactly the same as LMPL s! Before we get to proofs, however, I want to look at the alternating quantifier example that I said separates LMPL and L2PL. As we have seen, ( x)( y)rxy ( y)( x)rxy. But, the converse entailment does hold. That is, ( y)( x)rxy ( x)( y)rxy. We will prove i.e., deduce ( y)( x)rxy ( x)( y)rxy shortly. Before we do that, let s think about ( y)( x)rxy ( x)( y)rxy using our definitions, and our informal method of thinking of as & and as. This is interesting for both directions of the entailment. But, we need to be much more careful here than with LMPL!

Branden Fitelson Philosophy 12A Notes 16 First, consider what ( y)( x)rxy says on a domain of size n: ( y)( x)rxy n ( x)rxa ( x)rxb ( x)rxn n (Raa & & Rna) (Rab & & Rnb) (Ran & & Rnn) Next, consider what ( x)( y)rxy says on a domain of size n: ( x)( y)rxy n ( y)ray & ( y)rby & & ( y)rny n (Raa Ran) & (Rba Rbn) & & (Rna Rnn) Then, we notice that these two sentential forms are intimately related. Specifically, we note that ( y)( x)rxy has the following n-form: X n = (p 1 & p 2 & & p n ) (q 1 & q 2 & & q n ) (r 1 & r 2 & & r n ) And, we notice that ( x)( y)rxy has the following n-form: Y n = (p 1 q 1 r 1 ) & (p 2 q 2 r 2 ) & & (p n q n r n ) Fact. X n Y n, for any n. Each disjunct of X n entails every conjunct of Y n. Caution! This doesn t show that ( y)( x)rxy ( x)( y)rxy! Fact. Y n X n, for all n > 1. This can be shown (next slide) using only LSL reasoning. This does show that ( x)( y)rxy ( y)( x)rxy. The moral is that our informal semantical approach to the quantifiers works for LMPL, since no infinite domains are required for in LMPL.

Branden Fitelson Philosophy 12A Notes 17 However, our informal semantical approach breaks down for L2PL, since we sometimes need an infinite domain to establish in L2PL. In L2PL, if the informal method above reveals p n q n for some finite n, then it does follow that p q. For instance, Y 2 X 2 on the last slide: (Raa Rab) & (Rba Rbb) (Raa & Rba) (Rab & Rbb) This is just an LSL problem with 4-atoms [A = Raa, B = Rab, C = Rba, D = Rbb]. Truth-tables will generate a counterexample. On the other hand, if (in L2PL) our informal method indicates (as above) that p n q n for all finite n, this does not guarantee p q. E.g.: p = ( x)( y)rxy & ( x)( y)( z)[(rxy & Ryz) Rxz]. q = ( x)rxx. We showed above (informally) that p n q n for all finite n. But, we also saw that there are infinite interpretations on which p is but q is.