Hardegree, Set Theory; Rules of Derivation 1 of 8 A =========== A & ~B

Size: px
Start display at page:

Download "Hardegree, Set Theory; Rules of Derivation 1 of 8 A =========== A & ~B"

Transcription

1 Hardegree, Set Theory; Rules of Derivation 1 of 8 1. Sentential Logic Henceforth,,, C, D are closed formulas. 1. Inference Rules &I &O &I/O & & & ~(&) =========== ~ vi vo vi/o ~( ) =========== & ~ I O I/O ~( ) =========== & ~ I O I/O ~( ) =========== I O DN ~ ===== Note: The ~O and ~I rules are combined, using a long equals sign ===. Henceforth, any rule that is displayed with === is a bi-directional rule, which can be used both as an in-rule and as an out-rule.

2 Hardegree, Set Theory; Rules of Derivation 2 of 8 2. Strategic Rules Direct Derivation (DD) : DD Indirect Derivation (ID) : ID ~ s : Conditional Derivation (CD) Tilde Indirect Derivation ( D) : : CD s : : D s mpersand Derivation (&D) iconditional Derivation ( D) : & : &D : : D : : Wedge Indirect Derivation ( ID) Separation of Cases (SC) : D 1 D 2... D k ID ~D 1 s D 2 s D k : D 1 D 2... D k : C SC c1: D 1 s : C c2: D 2 s : C... ck: D k : C s

3 Hardegree, Set Theory; Rules of Derivation 3 of 8 2. Quantifier Logic (Free Logic Version) 1. Introduction Classical first-order logic is based on the following two presuppositions: (C1) (C2) The domain (universe) of discourse is not empty; accordingly, the sentence there is something is logically true, even though it is not necessarily true. Every singular term, no matter how silly, denotes an existing object (i.e., element of the domain). In contrast to classical logic, there is Free Logic, of which there are two variants. The more radical version (Universally-Free Logic) denies both (C1) and (C2). The less radical version of Free Logic denies (C2), but accepts (C1). In what follows, we pursue the more radical variant. 2. Constants In intro logic, the distinction between unquantified variables ("constants") ( a, b, c, etc.) and proper nouns ( Jay, Kay, the U.S., etc.) is not important. y contrast, in free logic, the distinction is very important. In particular, whereas constants always denote existing objects (in the domain of quantification), proper nouns need not denote anything. In doing derivations in free logic, one treats constants as purely intra-derivational symbols. In particular, we have the following definition. constant is an atomic singular-term that is introduced by UD or O. Ordinarily, any atomic singular-term that occurs in the premises or conclusion is regarded as a proper noun, not a constant. However, in mathematics (including set theory), one often does derivations in which universal quantification is taken for granted, so constants are allowed in premises and show-lines. These are understood as having been introduced by UD. constant counts as old precisely when it occurs in a line that is neither boxed nor cancelled; otherwise, it counts as new. (as before)

4 Hardegree, Set Theory; Rules of Derivation 4 of 8 3. Quantifier Rules In what follows, Φ is a formula, in which ν is the only variable (if any) that occurs free, and Φ[ε/ν] is the formula that results when ε replaces every occurrence of ν that is free in Φ. n expression is closed iff it contains no free occurrence of any variable. n occurrence of a variable ν is free in expression ℇ iff that occurrence does not lie within the scope of an operator binding ν i.e., ν, ν, or ν. Universal-Out ( O) νφ Φ[o/ν] Existential-In ( I) Φ[o/ν] νφ o is any old constant. Universal-Derivation (UD) : νφ : Φ[n/ν] Existential-Out ( O) νφ Φ[n/ν] n is any new constant. Quantifier-Negation (QN) ~ νφ ν~φ ~ νφ ν~φ Tilde-Universal-Out ( O) O = QN+ O ~ νφ Φ[n/ν] n is any new constant. Tilde-Existential-Out ( O) O = QN+ O ~ νφ Φ[o/ν] o is any old constant.

5 Hardegree, Set Theory; Rules of Derivation 5 of 8 3. Identity Logic Reflexivity (R=) Symmetry (S=) Transitivity (T=) LL σ = σ σ = τ τ = σ ρ = σ σ = τ ρ = τ σ, τ, and ρ are any closed singular-terms. σ = τ Φ[σ/ν] Φ[τ/ν] σ = τ Φ[τ/ν] Φ[σ/ν] 4. Description Logic Iota-Out ( O) c = νφ ν(φ ν=c) Iota-In ( I) ν(φ ν=c) c = νφ c must be a constant. 5. Short-Cut Rules 1. The Immediate Show-Cancel Rule If a show-line follows from available lines (earlier or later!) by a rule, then it can be cancelled by that rule. nnotation: cite the line number(s) and the rule. 2. The Conjunction Rule ny available conjunctive line (with any number of conjuncts) can be treated as the appropriate number of separate lines, numbered (e.g.) 7a, 7b, 7c. nd conversely, any number of available lines can be treated as the corresponding conjunction. 3. Rule-Multiplication ny one-place rule can be multiplied, provided the particular rule also applies to the intermediate line. For example, O+ O = O2; UD+UD = U2D; ~ O+~ O = ~ O2.

6 Hardegree, Set Theory; Rules of Derivation 6 of 8 4. Further Rule Combinations O, O2, etc. can be combined with O to produce O, 2 O, etc., and UD, UD2, etc., can be combined with CD to produce UCD, U2CD, etc. Similarly, UD, UD2, etc., can be combined with D to produce UD, U2D, etc. 5. Contraposition Rule For every genuine one-place rule, there is an associated contrapositive rule ( ), which is obtained by reversing and negating and the premise and conclusion. NOTE CREFULLY: O is not a genuine inference rule, but is rather an assumption rule. 6. lphabetic Variance (V) Φ[u] Φ[v] Here, u, v are variables, Φ[u] is a formula in which v does not occur, Φ[v] is a formula in which u does not occur, and Φ[v] results when every occurrence of u in Φ[u] is replaced by an occurrence of v. 7. The Rule SL If a line can be derived from available lines using only SL rules, then it may be written down by the rule SL. This rule may be used in place of any combination of SL rules, including inference rules and show rules. 8. The Rule QL If a line can be derived from previous available lines using only quantifier rules, but it cannot be derived using just SL rules, then it may be written down by the rule QL. This rule may be used in place of any QL inference rule, as well as any combination of QL rules, including inference rules and show rules. NOTE CREFULLY: The rule O, and hence ~ O, are not genuine inference rules, but assumption rules. No instance of O is valid by QL! So when you cite O or ~ O, do not cite it as QL. 9. The Rule IL If a line can be derived from previous available lines using only identity rules, but it cannot be derived using just QL rules, then it may be written down by the rule IL. This rule may be used in place of any IL inference rule, as well as any combination of IL rules, including inference rules and show rules.

7 Hardegree, Set Theory; Rules of Derivation 7 of 8 6. Theories (including Set Theory) 1. ppealing to a Definition Sentential definitions may be used like rules; each such definition serves as three different rules; out-rule, in-rule, show-rule. The annotation is the same for all three uses Def, where is filled by the particular defined symbol; see examples below. sentential definition is one in which the definiens and definiendum are both sentences (formulas). General form of rule: Given an instance of a definition Φ 1 Φ 2, where Φ 1 and Φ 2 are formulas, Out-Rule: In-Rule: Show-Rule: Examples from Set Theory: If one has a line Φ 1, then one may infer Φ 2. If one has a line Φ 2, then one may infer Φ 1. If one has a show-line show: Φ 1, then one can resolve this show-line to the show-line show: Φ 2. Note: there is a single associated box for both show-lines. Def : x(x x ) [note: and are schematic.] Instance: C x(x x C) [note: and are constants.] out: 1. C given 2. x(x x C) 1, Def in: 1. x(x x C) given 2. C 1, Def show: 1. C Def 2. x(x x C) 2. ppealing to an xiom or Previously Proved Theorem xioms and previously proved theorems can be treated as (unstated) premises. The annotation cites the axiom/theorem and line numbers (optional when line is directly below). Example from Set Theory: show: 1. = E (axiom of extentionality) 2. x(x x )

8 Hardegree, Set Theory; Rules of Derivation 8 of 8 7. xioms a1. x y[ z(z x z y) x=y] [Extensionality] a2. x y[y x] [Empty Set] a3. x y z[z y (z x & )] [[y nor free in ] [Separation] a4. x y z w(w z [w x w y]) [Simple Unions] a5. x y z(z y z=x) [Singletons] a6. x y z[z y w(w x & z w)] [General Unions] a7. x y z[z y w(w z w x)] [Power Sets] 8. Definitions d0.1 a b [a = b] [negation] d0.2 a b [a b] [negation] d1.!ν x ν( ν=x) [unique existence] d2. Σν!S ν(ν S ) [legitimacy] d3. x(x x ) [inclusion] d4. & [proper inclusion] d5. [converse inclusion] d6. [converse proper inclusion] d7. x(x & x ) [exclusion] d8. {ν: } S ν(ν S ) [set-abstract] d9.1 {a} {x : x=a} [singleton] d9.2 {a,b} {x : x=a x=b} [doubleton] d9.3 {a,b,c} {x : x=a x=b x=c} [tripleton] etc. d10. {x : x=x} [universal set] d11. {x : x x} [empty set] d12. {x : x & x } [simple intersection] d13. {x : x & x } [set-difference] d14. {x : x x } [simple union] d15. + ( ) ( ) [oolean sum] d16. C {x : y(y C & x y)} [general union] d17. C {x : y(y C x y)} [gen intersection] d18. () {X : X } [power set] 9. Definitions (Sentential Versions) cd8. a {ν: } [a/ν] cd9.1 a {b} a=b cd9.2 a {b,c} a=b a=c cd9.3 a {b,c,d} a=b a=c a=d etc. cd11. a a a cd12. a a & a cd13. a a & a cd14. a a a cd16. a C X(X C & a X) cd17. a C X(X C a X) [provided C ] cd18. ()

Deductive Characterization of Logic

Deductive Characterization of Logic 6 The Deductive Characterization of Logic 1. Derivations...2 2. Deductive Systems...3 3. Axioms in Deductive Systems...4 4. Axiomatic Systems...5 5. Validity and Entailment in the Deductive Context...6

More information

1. The Semantic Enterprise. 2. Semantic Values Intensions and Extensions. 3. Situations

1. The Semantic Enterprise. 2. Semantic Values Intensions and Extensions. 3. Situations Hardegree, Formal Semantics, Handout, 2015-02-03 1 of 8 1. The Semantic Enterprise The semantic-analysis of a phrase φ consists in the following. (1) providing a semantic-value for φ, and each of its component

More information

Second-Order Modal Logic

Second-Order Modal Logic Hardegree, Modal Logic, 11: Second-Order Modal Logic 16 XI-1 11 Second-Order Modal Logic 1. Introduction...2 2. Second-Order Considerations...2 3. Monadic Plurals...4 4. Syntax for Modal Logic with Plurals

More information

Classical Sentential Logic

Classical Sentential Logic II-1 2 Classical Sentential Logic 1. Introduction...2 2. Sentences and Connectives...2 3. Declarative Sentences and Truth-Values...3 4. Truth-Functional Connectives...4 5. Sentence Forms and rgument Forms...5

More information

Axiomatic set theory. Chapter Why axiomatic set theory?

Axiomatic set theory. Chapter Why axiomatic set theory? Chapter 1 Axiomatic set theory 1.1 Why axiomatic set theory? Essentially all mathematical theories deal with sets in one way or another. In most cases, however, the use of set theory is limited to its

More information

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

3. The Logic of Quantified Statements Summary. Aaron Tan August 2017 3. The Logic of Quantified Statements Summary Aaron Tan 28 31 August 2017 1 3. The Logic of Quantified Statements 3.1 Predicates and Quantified Statements I Predicate; domain; truth set Universal quantifier,

More information

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

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

More information

Second-Order Modal Logic

Second-Order Modal Logic Hardegree, Modal Logic, Chapter 11: Second-Order Modal Logic 1 of 17 11 Second-Order Modal Logic 1. Introduction...2 2. Second-Order Considerations...2 3. Monadic Plurals...3 4. Syntax for Modal Logic

More information

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes

Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes Foundations of Mathematics MATH 220 FALL 2017 Lecture Notes These notes form a brief summary of what has been covered during the lectures. All the definitions must be memorized and understood. Statements

More information

7 Classical Quantified Logic

7 Classical Quantified Logic 7 Classical Quantified Logic efore examining quantified modal logic, we review a bare-bones system for first-order predicate or quantificational logic, i.e., that involving the quantifiers x... and x...,

More information

6. THE OFFICIAL INFERENCE RULES

6. THE OFFICIAL INFERENCE RULES 154 Hardegree, Symbolic Logic 6. THE OFFICIAL INFERENCE RULES So far, we have discussed only four inference rules: modus ponens, modus tollens, and the two forms of modus tollendo ponens. In the present

More information

Two-Dimensional Modal Logic

Two-Dimensional Modal Logic Hardegree, Modal Logic, Chapter 10: Two-Dimensional Modal Logic 1 of 12 10 Two-Dimensional Modal Logic 1. Introduction...2 2. Scoped-Actuality...2 3. System 2D(1)...2 4. Examples of Derivations in 2D(1)...3

More information

Two-Dimensional Modal Logic

Two-Dimensional Modal Logic Hardegree, Modal Logic, 10: Two-Dimensional Modal Logic 13 X-1 10 Two-Dimensional Modal Logic 1. Introduction...2 2. Scoped-Actuality...2 3. System 2D(1)...3 4. Examples of Derivations in 2D(1)...4 5.

More information

Discrete Mathematical Structures: Theory and Applications

Discrete Mathematical Structures: Theory and Applications Chapter 1: Foundations: Sets, Logic, and Algorithms Discrete Mathematical Structures: Theory and Applications Learning Objectives Learn about sets Explore various operations on sets Become familiar with

More information

Logic and Proof. On my first day of school my parents dropped me off at the wrong nursery. There I was...surrounded by trees and bushes!

Logic and Proof. On my first day of school my parents dropped me off at the wrong nursery. There I was...surrounded by trees and bushes! Logic and Proof On my first day of school my parents dropped me off at the wrong nursery. There I was...surrounded by trees and bushes! 26-Aug-2011 MA 341 001 2 Requirements for Proof 1. Mutual understanding

More information

Generic Size Theory Gary Hardegree Department of Philosophy University of Massachusetts Amherst, MA 01003

Generic Size Theory Gary Hardegree Department of Philosophy University of Massachusetts Amherst, MA 01003 Generic Size Theory Gary Hardegree Department of Philosophy University of Massachusetts Amherst, MA 01003 1. Introduction The Euclidian Paradigm...1 2. A Simple Example A Generic Theory of Size...1 1.

More information

Lecture 3. Logic Predicates and Quantified Statements Statements with Multiple Quantifiers. Introduction to Proofs. Reading (Epp s textbook)

Lecture 3. Logic Predicates and Quantified Statements Statements with Multiple Quantifiers. Introduction to Proofs. Reading (Epp s textbook) Lecture 3 Logic Predicates and Quantified Statements Statements with Multiple Quantifiers Reading (Epp s textbook) 3.1-3.3 Introduction to Proofs Reading (Epp s textbook) 4.1-4.2 1 Propositional Functions

More information

On my first day of school my parents dropped me off at the wrong nursery. There I was...surrounded by trees and bushes! 26-Aug-2011 MA

On my first day of school my parents dropped me off at the wrong nursery. There I was...surrounded by trees and bushes! 26-Aug-2011 MA Logic and Proof On my first day of school my parents dropped me off at the wrong nursery. There I was...surrounded by trees and bushes! 26-Aug-2011 MA 341 001 2 Requirements for Proof 1. Mutual understanding

More information

CSC384: Intro to Artificial Intelligence Knowledge Representation II. Required Readings: 9.1, 9.2, and 9.5 Announcements:

CSC384: Intro to Artificial Intelligence Knowledge Representation II. Required Readings: 9.1, 9.2, and 9.5 Announcements: CSC384: Intro to Artificial Intelligence Knowledge Representation II Required Readings: 9.1, 9.2, and 9.5 Announcements: 1 Models Examples. Environment A Language (Syntax) Constants: a,b,c,e Functions:

More information

Axiom Systems For Classical Sentential Logic

Axiom Systems For Classical Sentential Logic 8 Axiom Systems For Classical Sentential Logic 1. Introduction...2 2. Axiom System AS1...2 3. Examples of Derivations in System AS1...3 4. Other Axiom Systems for CSL...6 2 Hardegree, MetaLogic 1. Introduction

More information

Topics in Logic, Set Theory and Computability

Topics in Logic, Set Theory and Computability Topics in Logic, Set Theory and Computability Homework Set #3 Due Friday 4/6 at 3pm (by email or in person at 08-3234) Exercises from Handouts 7-C-2 7-E-6 7-E-7(a) 8-A-4 8-A-9(a) 8-B-2 8-C-2(a,b,c) 8-D-4(a)

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

Modal Predicate Logic

Modal Predicate Logic Hardegree, Modal Logic, Chapter 06: Modal Predicate Logic 1 of 26 6 Modal Predicate Logic 1. Overview...2 A. Ordinary Predicate Logic...2 2. Introduction...2 3. Noun Phrases...2 4. Two Key Simplifications

More information

Introduction to Metalogic

Introduction to Metalogic Philosophy 135 Spring 2008 Tony Martin Introduction to Metalogic 1 The semantics of sentential logic. The language L of sentential logic. Symbols of L: Remarks: (i) sentence letters p 0, p 1, p 2,... (ii)

More information

PART II QUANTIFICATIONAL LOGIC

PART II QUANTIFICATIONAL LOGIC Page 1 PART II QUANTIFICATIONAL LOGIC The language m of part I was built from sentence letters, symbols that stand in for sentences. The logical truth of a sentence or the logical validity of an argument,

More information

CLASSICAL EXTENSIONAL MEREOLOGY. Mereology

CLASSICAL EXTENSIONAL MEREOLOGY. Mereology 1 Mereology Core axioms and concepts parthood sum Higher order properties: cumulativity divisivity (aka divisiveness) atomicity 2 Mereology is the theory of parthood derived from the Greek µέρος (meros)

More information

Logic, Sets, and Proofs

Logic, Sets, and Proofs Logic, Sets, and Proofs David A. Cox and Catherine C. McGeoch Amherst College 1 Logic Logical Operators. A logical statement is a mathematical statement that can be assigned a value either true or false.

More information

Propositions and Proofs

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

More information

Packet #1: Logic & Proofs. Applied Discrete Mathematics

Packet #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 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

Propositional Logic Not Enough

Propositional Logic Not Enough Section 1.4 Propositional Logic Not Enough If we have: All men are mortal. Socrates is a man. Does it follow that Socrates is mortal? Can t be represented in propositional logic. Need a language that talks

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

Relative Modal Logic System K

Relative Modal Logic System K Hardegree, Modal Logic, Chapter 04: Relative Modal Logic 1 of 28 4 Relative Modal Logic System K A. System K...2 1. Absolute versus Relative Modalities...2 2. Index Points in Relative Modal Logic...2 3.

More information

13. APPENDIX 1: THE SYNTAX OF PREDICATE LOGIC

13. APPENDIX 1: THE SYNTAX OF PREDICATE LOGIC 394 Hardegree, Symbolic Logic 13. APPENDIX 1: THE SYNTAX OF PREDICATE LOGIC In this appendix, we review the syntactic features of predicate logic that are crucial to understanding derivations in predicate

More information

Packet #2: Set Theory & Predicate Calculus. Applied Discrete Mathematics

Packet #2: Set Theory & Predicate Calculus. Applied Discrete Mathematics CSC 224/226 Notes Packet #2: Set Theory & Predicate Calculus Barnes Packet #2: Set Theory & Predicate Calculus Applied Discrete Mathematics Table of Contents Full Adder Information Page 1 Predicate Calculus

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

Soundness Theorem for System AS1

Soundness Theorem for System AS1 10 The Soundness Theorem for System AS1 1. Introduction...2 2. Soundness, Completeness, and Mutual Consistency...2 3. The Weak Soundness Theorem...4 4. The Strong Soundness Theorem...6 5. Appendix: Supporting

More information

6. COMPLEX PREDICATES

6. COMPLEX PREDICATES 318 Hardegree, Symbolic Logic (1) x... y...rxy (1a) x(sx & y(py Rxy)) (1b) x(px & y(sy Rxy)) (2) x... y...ryx (2a) x(sx & y(py Ryx)) (2b) x(px & y(sy Ryx)) (3) x... y...rxy (3a) x(sx y(py & Rxy)) (3b)

More information

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

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

More information

Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr.

Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr. Notes for Math 290 using Introduction to Mathematical Proofs by Charles E. Roberts, Jr. Chapter : Logic Topics:. Statements, Negation, and Compound Statements.2 Truth Tables and Logical Equivalences.3

More information

Learning Goals of CS245 Logic and Computation

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

More information

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

Mat 243 Exam 1 Review

Mat 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 information

arxiv: v1 [cs.lo] 1 Sep 2017

arxiv: v1 [cs.lo] 1 Sep 2017 A DECISION PROCEDURE FOR HERBRAND FORMULAE WITHOUT SKOLEMIZATION arxiv:1709.00191v1 [cs.lo] 1 Sep 2017 TIMM LAMPERT Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin e-mail address: lampertt@staff.hu-berlin.de

More information

2.3 Exercises. (a) F P(A). (Solution)

2.3 Exercises. (a) F P(A). (Solution) 2.3 Exercises 1. Analyze the logical forms of the following statements. You may use the symbols, /, =,,,,,,, and in your answers, but not,, P,,, {, }, or. (Thus, you must write out the definitions of some

More information

Basic Propositional Logic. Inductive Theory of the Natural Numbers. Conjunction. Equivalence. Negation and Inequivalence. Implication.

Basic Propositional Logic. Inductive Theory of the Natural Numbers. Conjunction. Equivalence. Negation and Inequivalence. Implication. McMaster University COMPSCI&SFWRENG 2DM3 Dept. of Computing and Software Theorem List 4 Dr. W. Kahl 2017-12-09 The names listed here are precisely the names used in the preloaded material you are already

More information

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

Logic Overview, I. and T T T T F F F T F F F F Logic Overview, I DEFINITIONS A statement (proposition) is a declarative sentence that can be assigned a truth value T or F, but not both. Statements are denoted by letters p, q, r, s,... The 5 basic logical

More information

Part I: Propositional Calculus

Part 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 information

Mathematical Preliminaries. Sipser pages 1-28

Mathematical Preliminaries. Sipser pages 1-28 Mathematical Preliminaries Sipser pages 1-28 Mathematical Preliminaries This course is about the fundamental capabilities and limitations of computers. It has 3 parts 1. Automata Models of computation

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

For all For every For each For any There exists at least one There exists There is Some

For all For every For each For any There exists at least one There exists There is Some Section 1.3 Predicates and Quantifiers Assume universe of discourse is all the people who are participating in this course. Also let us assume that we know each person in the course. Consider the following

More information

Section 1.1 Propositions

Section 1.1 Propositions Set Theory & Logic Section 1.1 Propositions Fall, 2009 Section 1.1 Propositions In Chapter 1, our main goals are to prove sentences about numbers, equations or functions and to write the proofs. Definition.

More information

Some Review Problems for Exam 1: Solutions

Some Review Problems for Exam 1: Solutions Math 3355 Fall 2018 Some Review Problems for Exam 1: Solutions Here is my quick review of proof techniques. I will focus exclusively on propositions of the form p q, or more properly, x P (x) Q(x) or x

More information

Quantifiers. P. Danziger

Quantifiers. P. Danziger - 2 Quantifiers P. Danziger 1 Elementary Quantifiers (2.1) We wish to be able to use variables, such as x or n in logical statements. We do this by using the two quantifiers: 1. - There Exists 2. - For

More information

SYMBOLIC LOGIC UNIT 10: SINGULAR SENTENCES

SYMBOLIC LOGIC UNIT 10: SINGULAR SENTENCES SYMBOLIC LOGIC UNIT 10: SINGULAR SENTENCES Singular Sentences name Paris is beautiful (monadic) predicate (monadic) predicate letter Bp individual constant Singular Sentences Bp These are our new simple

More information

DERIVATIONS AND TRUTH TABLES

DERIVATIONS AND TRUTH TABLES DERIVATIONS AND TRUTH TABLES Tomoya Sato Department of Philosophy University of California, San Diego Phil120: Symbolic Logic Summer 2014 TOMOYA SATO LECTURE 3: DERIVATIONS AND TRUTH TABLES 1 / 65 WHAT

More information

Discrete Structures Lecture 5

Discrete Structures Lecture 5 Introduction EXAMPLE 1 Express xx yy(xx + yy = 0) without the existential quantifier. Solution: xx yy(xx + yy = 0) is the same as xxxx(xx) where QQ(xx) is yyyy(xx, yy) and PP(xx, yy) = xx + yy = 0 EXAMPLE

More information

Deductive reasoning is the process of reasoning from accepted facts to a conclusion. if a = b and c = d, c 0, then a/c = b/d

Deductive reasoning is the process of reasoning from accepted facts to a conclusion. if a = b and c = d, c 0, then a/c = b/d Chapter 2 Reasoning Suppose you know the following two statements are true. 1. Every board member read their back-up material 2. Tom is a board member You can conclude: 3. Tom read his back-up material.

More information

Summary of basic probability theory Math 218, Mathematical Statistics D Joyce, Spring 2016

Summary of basic probability theory Math 218, Mathematical Statistics D Joyce, Spring 2016 8. For any two events E and F, P (E) = P (E F ) + P (E F c ). Summary of basic probability theory Math 218, Mathematical Statistics D Joyce, Spring 2016 Sample space. A sample space consists of a underlying

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

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

Predicate in English. Predicates and Quantifiers. Predicate in Logic. Propositional Functions: Prelude. Propositional Function Predicates and Quantifiers Chuck Cusack Predicate in English In English, a sentence has 2 parts: the subject and the predicate. The predicate is the part of the sentence that states something about the

More information

Chapter 1 Elementary Logic

Chapter 1 Elementary Logic 2017-2018 Chapter 1 Elementary Logic The study of logic is the study of the principles and methods used in distinguishing valid arguments from those that are not valid. The aim of this chapter is to help

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

1. Propositions: Contrapositives and Converses

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

More information

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

Logic. Logic is a discipline that studies the principles and methods used in correct reasoning. It includes: Logic Logic is a discipline that studies the principles and methods used in correct reasoning It includes: A formal language for expressing statements. An inference mechanism (a collection of rules) to

More information

ECOM Discrete Mathematics

ECOM Discrete Mathematics ECOM 2311- Discrete Mathematics Chapter # 1 : The Foundations: Logic and Proofs Fall, 2013/2014 ECOM 2311- Discrete Mathematics - Ch.1 Dr. Musbah Shaat 1 / 85 Outline 1 Propositional Logic 2 Propositional

More information

CHAPTER 1 SETS AND EVENTS

CHAPTER 1 SETS AND EVENTS CHPTER 1 SETS ND EVENTS 1.1 Universal Set and Subsets DEFINITION: set is a well-defined collection of distinct elements in the universal set. This is denoted by capital latin letters, B, C, If an element

More information

COMP 409: Logic Homework 5

COMP 409: Logic Homework 5 COMP 409: Logic Homework 5 Note: The pages below refer to the text from the book by Enderton. 1. Exercises 1-6 on p. 78. 1. Translate into this language the English sentences listed below. If the English

More information

Relative Modal Logic System K

Relative Modal Logic System K IV-1 4 Relative Modal Logic System K A. System K...2 1. Absolute versus Relative Modalities...2 2. Index Points in Relative Modal Logic...2 3. A Potential Notational Problem...3 4. The Official Technical

More information

Math 535: Topology Homework 1. Mueen Nawaz

Math 535: Topology Homework 1. Mueen Nawaz Math 535: Topology Homework 1 Mueen Nawaz Mueen Nawaz Math 535 Topology Homework 1 Problem 1 Problem 1 Find all topologies on the set X = {0, 1, 2}. In the list below, a, b, c X and it is assumed that

More information

A Guide to Proof-Writing

A Guide to Proof-Writing A Guide to Proof-Writing 437 A Guide to Proof-Writing by Ron Morash, University of Michigan Dearborn Toward the end of Section 1.5, the text states that there is no algorithm for proving theorems.... Such

More information

Answers to the Exercises -- Chapter 1

Answers to the Exercises -- Chapter 1 Answers to the Exercises -- Chapter 1 SECTION 1 1. a Sentence, official notation ~~~P ~~P ~P P Sentence, informal notation ~Q ~R /\ ~Q ~R Q R c d e Not a sentence; it is impossile to construct "~ " Not

More information

Two Posts to Fill On School Board

Two Posts to Fill On School Board Y Y 9 86 4 4 qz 86 x : ( ) z 7 854 Y x 4 z z x x 4 87 88 Y 5 x q x 8 Y 8 x x : 6 ; : 5 x ; 4 ( z ; ( ) ) x ; z 94 ; x 3 3 3 5 94 ; ; ; ; 3 x : 5 89 q ; ; x ; x ; ; x : ; ; ; ; ; ; 87 47% : () : / : 83

More information

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

Theorem. For every positive integer n, the sum of the positive integers from 1 to n is n(n+1) Week 1: Logic Lecture 1, 8/1 (Sections 1.1 and 1.3) Examples of theorems and proofs Theorem (Pythagoras). Let ABC be a right triangle, with legs of lengths a and b, and hypotenuse of length c. Then a +

More information

Logic and Proof. Aiichiro Nakano

Logic and Proof. Aiichiro Nakano Logic and Proof Aiichiro Nakano Collaboratory for Advanced Computing & Simulations Department of Computer Science Department of Physics & Astronomy Department of Chemical Engineering & Materials Science

More information

Chapter 5 Vocabulary:

Chapter 5 Vocabulary: Geometry Week 11 ch. 5 review sec. 6.3 ch. 5 review Chapter 5 Vocabulary: biconditional conclusion conditional conjunction connective contrapositive converse deductive reasoning disjunction existential

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

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I ICS141: Discrete Mathematics for Computer Science I Dept. Information & Computer Sci., Originals slides by Dr. Baek and Dr. Still, adapted by J. Stelovsky Based on slides Dr. M. P. Frank and Dr. J.L. Gross

More information

Chapter 1 : The language of mathematics.

Chapter 1 : The language of mathematics. MAT 200, Logic, Language and Proof, Fall 2015 Summary Chapter 1 : The language of mathematics. Definition. A proposition is a sentence which is either true or false. Truth table for the connective or :

More information

Mathematical Reasoning. The Foundation of Algorithmics

Mathematical Reasoning. The Foundation of Algorithmics Mathematical Reasoning The Foundation of Algorithmics The Nature of Truth In mathematics, we deal with statements that are True or False This is known as The Law of the Excluded Middle Despite the fact

More information

Introduction to Metalogic 1

Introduction to Metalogic 1 Philosophy 135 Spring 2012 Tony Martin Introduction to Metalogic 1 1 The semantics of sentential logic. The language L of sentential logic. Symbols of L: (i) sentence letters p 0, p 1, p 2,... (ii) connectives,

More information

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

Section 1.3. Let I be a set. When I is used in the following context, Section 1.3. Let I be a set. When I is used in the following context, {B i } i I, we call I the index set. The set {B i } i I is the family of sets of the form B i where i I. One could also use set builder

More information

The Lambek-Grishin calculus for unary connectives

The Lambek-Grishin calculus for unary connectives The Lambek-Grishin calculus for unary connectives Anna Chernilovskaya Utrecht Institute of Linguistics OTS, Utrecht University, the Netherlands anna.chernilovskaya@let.uu.nl Introduction In traditional

More information

Today s topics. Introduction to Set Theory ( 1.6) Naïve set theory. Basic notations for sets

Today s topics. Introduction to Set Theory ( 1.6) Naïve set theory. Basic notations for sets Today s topics Introduction to Set Theory ( 1.6) Sets Definitions Operations Proving Set Identities Reading: Sections 1.6-1.7 Upcoming Functions A set is a new type of structure, representing an unordered

More information

Predicate Logic: Sematics Part 1

Predicate Logic: Sematics Part 1 Predicate Logic: Sematics Part 1 CS402, Spring 2018 Shin Yoo Predicate Calculus Propositional logic is also called sentential logic, i.e. a logical system that deals with whole sentences connected with

More information

CHAPTER 0: BACKGROUND (SPRING 2009 DRAFT)

CHAPTER 0: BACKGROUND (SPRING 2009 DRAFT) CHAPTER 0: BACKGROUND (SPRING 2009 DRAFT) MATH 378, CSUSM. SPRING 2009. AITKEN This chapter reviews some of the background concepts needed for Math 378. This chapter is new to the course (added Spring

More information

Absolute Modal Logic System L

Absolute Modal Logic System L Hardegree, Modal Logic, Chapter 03: Absolute Modal Logic 1 of 30 3 Absolute Modal Logic System L A. Leibnizian World Theory...2 1. Introduction...2 2. Direct and Indirect Quotation...2 3. Sentences and

More information

arxiv: v2 [cs.lo] 22 Nov 2017

arxiv: v2 [cs.lo] 22 Nov 2017 A DECISION PROCEDURE FOR HERBRAND FORMULAE WITHOUT SKOLEMIZATION arxiv:1709.00191v2 [cs.lo] 22 Nov 2017 TIMM LAMPERT Humboldt University Berlin, Unter den Linden 6, D-10099 Berlin e-mail address: lampertt@staff.hu-berlin.de

More information

First order Logic ( Predicate Logic) and Methods of Proof

First order Logic ( Predicate Logic) and Methods of Proof First order Logic ( Predicate Logic) and Methods of Proof 1 Outline Introduction Terminology: Propositional functions; arguments; arity; universe of discourse Quantifiers Definition; using, mixing, negating

More information

Informal Statement Calculus

Informal Statement Calculus FOUNDATIONS OF MATHEMATICS Branches of Logic 1. Theory of Computations (i.e. Recursion Theory). 2. Proof Theory. 3. Model Theory. 4. Set Theory. Informal Statement Calculus STATEMENTS AND CONNECTIVES Example

More information

Lecture Notes 1 Basic Concepts of Mathematics MATH 352

Lecture Notes 1 Basic Concepts of Mathematics MATH 352 Lecture Notes 1 Basic Concepts of Mathematics MATH 352 Ivan Avramidi New Mexico Institute of Mining and Technology Socorro, NM 87801 June 3, 2004 Author: Ivan Avramidi; File: absmath.tex; Date: June 11,

More information

Resolution for mixed Post logic

Resolution for mixed Post logic Resolution for mixed Post logic Vladimir Komendantsky Institute of Philosophy of Russian Academy of Science, Volkhonka 14, 119992 Moscow, Russia vycom@pochtamt.ru Abstract. In this paper we present a resolution

More information

DERIVATIONS IN SENTENTIAL LOGIC

DERIVATIONS IN SENTENTIAL LOGIC 5 DERIVATIONS IN SENTENTIAL LOGIC 1. Introduction... 142 2. The Basic Idea... 143 3. Argument Forms and Substitution Instances... 145 4. Simple Inference Rules... 147 5. Simple Derivations... 151 6. The

More information

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

Recall that the expression x > 3 is not a proposition. Why? Predicates and Quantifiers Predicates and Quantifiers 1 Recall that the expression x > 3 is not a proposition. Why? Notation: We will use the propositional function notation to denote the expression "

More information

Three Profound Theorems about Mathematical Logic

Three Profound Theorems about Mathematical Logic Power & Limits of Logic Three Profound Theorems about Mathematical Logic Gödel's Completeness Theorem Thm 1, good news: only need to know* a few axioms & rules, to prove all validities. *Theoretically

More information

PHIL 50 INTRODUCTION TO LOGIC 1 FREE AND BOUND VARIABLES MARCELLO DI BELLO STANFORD UNIVERSITY DERIVATIONS IN PREDICATE LOGIC WEEK #8

PHIL 50 INTRODUCTION TO LOGIC 1 FREE AND BOUND VARIABLES MARCELLO DI BELLO STANFORD UNIVERSITY DERIVATIONS IN PREDICATE LOGIC WEEK #8 PHIL 50 INTRODUCTION TO LOGIC MARCELLO DI BELLO STANFORD UNIVERSITY DERIVATIONS IN PREDICATE LOGIC WEEK #8 1 FREE AND BOUND VARIABLES Before discussing the derivation rules for predicate logic, we should

More information

software design & management Gachon University Chulyun Kim

software design & management Gachon University Chulyun Kim Gachon University Chulyun Kim 2 Outline Propositional Logic Propositional Equivalences Predicates and Quantifiers Nested Quantifiers Rules of Inference Introduction to Proofs 3 1.1 Propositional Logic

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

Discrete Mathematics and Its Applications

Discrete Mathematics and Its Applications Discrete Mathematics and Its Applications Lecture 1: The Foundations: Logic and Proofs (1.3-1.5) MING GAO DASE @ ECNU (for course related communications) mgao@dase.ecnu.edu.cn Sep. 19, 2017 Outline 1 Logical

More information

Semantics of Classical First- Order Logic

Semantics of Classical First- Order Logic 14 The Semantics of Classical First- Order Logic 1. Introduction...2 2. Semantic Evaluations...2 3. Semantic Items and their Categories...2 4. Official versus Conventional Identifications of Semantic Items...3

More information