Beginning Mathematical Logic: a Study Guide
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Calibrating Determinacy Strength in Borel Hierarchies
University of California Los Angeles Calibrating Determinacy Strength in Borel Hierarchies A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Mathematics by Sherwood Julius Hachtman 2015 c Copyright by Sherwood Julius Hachtman 2015 Abstract of the Dissertation Calibrating Determinacy Strength in Borel Hierarchies by Sherwood Julius Hachtman Doctor of Philosophy in Mathematics University of California, Los Angeles, 2015 Professor Itay Neeman, Chair We study the strength of determinacy hypotheses in levels of two hierarchies of subsets of 0 0 1 Baire space: the standard Borel hierarchy hΣαiα<ω1 , and the hierarchy of sets hΣα(Π1)iα<ω1 in the Borel σ-algebra generated by coanalytic sets. 0 We begin with Σ3, the lowest level at which the strength of determinacy had not yet been characterized in terms of a natural theory. Building on work of Philip Welch [Wel11], 0 [Wel12], we show that Σ3 determinacy is equivalent to the existence of a β-model of the 1 axiom of Π2 monotone induction. 0 For the levels Σ4 and above, we prove best-possible refinements of old bounds due to Harvey Friedman [Fri71] and Donald A. Martin [Mar85, Mar] on the strength of determinacy in terms of iterations of the Power Set axiom. We introduce a novel family of reflection 0 principles, Π1-RAPα, and prove a level-by-level equivalence between determinacy for Σ1+α+3 and existence of a wellfounded model of Π1-RAPα. For α = 0, we have the following concise 0 result: Σ4 determinacy is equivalent to the existence of an ordinal θ so that Lθ satisfies \P(!) exists, and all wellfounded trees are ranked." 0 We connect our result on Σ4 determinacy to work of Noah Schweber [Sch13] on higher order reverse mathematics. -
Arxiv:1901.02074V1 [Math.LO] 4 Jan 2019 a Xoskona Lrecrias Ih Eal Ogv Entv a Definitive a Give T to of Able Basis Be the Might Cardinals” [17]
GENERIC LARGE CARDINALS AS AXIOMS MONROE ESKEW Abstract. We argue against Foreman’s proposal to settle the continuum hy- pothesis and other classical independent questions via the adoption of generic large cardinal axioms. Shortly after proving that the set of all real numbers has a strictly larger car- dinality than the set of integers, Cantor conjectured his Continuum Hypothesis (CH): that there is no set of a size strictly in between that of the integers and the real numbers [1]. A resolution of CH was the first problem on Hilbert’s famous list presented in 1900 [19]. G¨odel made a major advance by constructing a model of the Zermelo-Frankel (ZF) axioms for set theory in which the Axiom of Choice and CH both hold, starting from a model of ZF. This showed that the axiom system ZF, if consistent on its own, could not disprove Choice, and that ZF with Choice (ZFC), a system which suffices to formalize the methods of ordinary mathematics, could not disprove CH [16]. It remained unknown at the time whether models of ZFC could be found in which CH was false, but G¨odel began to suspect that this was possible, and hence that CH could not be settled on the basis of the normal methods of mathematics. G¨odel remained hopeful, however, that new mathemati- cal axioms known as “large cardinals” might be able to give a definitive answer on CH [17]. The independence of CH from ZFC was finally solved by Cohen’s invention of the method of forcing [2]. Cohen’s method showed that ZFC could not prove CH either, and in fact could not put any kind of bound on the possible number of cardinals between the sizes of the integers and the reals. -
Introduction to Formal Logic II (3 Credit
PHILOSOPHY 115 INTRODUCTION TO FORMAL LOGIC II BULLETIN INFORMATION PHIL 115 – Introduction to Formal Logic II (3 credit hrs) Course Description: Intermediate topics in predicate logic, including second-order predicate logic; meta-theory, including soundness and completeness; introduction to non-classical logic. SAMPLE COURSE OVERVIEW Building on the material from PHIL 114, this course introduces new topics in logic and applies them to both propositional and first-order predicate logic. These topics include argument by induction, duality, compactness, and others. We will carefully prove important meta-logical results, including soundness and completeness for both propositional logic and first-order predicate logic. We will also learn a new system of proof, the Gentzen-calculus, and explore first-order predicate logic with functions and identity. Finally, we will discuss potential motivations for alternatives to classical logic, and examine how those motivations lead to the development of intuitionistic logic, including a formal system for intuitionistic logic, comparing the features of that formal system to those of classical first-order predicate logic. ITEMIZED LEARNING OUTCOMES Upon successful completion of PHIL 115, students will be able to: 1. Apply, as appropriate, principles of analytical reasoning, using as a foundation the knowledge of mathematical, logical, and algorithmic principles 2. Recognize and use connections among mathematical, logical, and algorithmic methods across disciplines 3. Identify and describe problems using formal symbolic methods and assess the appropriateness of these methods for the available data 4. Effectively communicate the results of such analytical reasoning and problem solving 5. Explain and apply important concepts from first-order logic, including duality, compactness, soundness, and completeness 6. -
Intuitionistic Logic
Intuitionistic Logic Nick Bezhanishvili and Dick de Jongh Institute for Logic, Language and Computation Universiteit van Amsterdam Contents 1 Introduction 2 2 Intuitionism 3 3 Kripke models, Proof systems and Metatheorems 8 3.1 Other proof systems . 8 3.2 Arithmetic and analysis . 10 3.3 Kripke models . 15 3.4 The Disjunction Property, Admissible Rules . 20 3.5 Translations . 22 3.6 The Rieger-Nishimura Lattice and Ladder . 24 3.7 Complexity of IPC . 25 3.8 Mezhirov's game for IPC . 28 4 Heyting algebras 30 4.1 Lattices, distributive lattices and Heyting algebras . 30 4.2 The connection of Heyting algebras with Kripke frames and topologies . 33 4.3 Algebraic completeness of IPC and its extensions . 38 4.4 The connection of Heyting and closure algebras . 40 5 Jankov formulas and intermediate logics 42 5.1 n-universal models . 42 5.2 Formulas characterizing point generated subsets . 44 5.3 The Jankov formulas . 46 5.4 Applications of Jankov formulas . 47 5.5 The logic of the Rieger-Nishimura ladder . 52 1 1 Introduction In this course we give an introduction to intuitionistic logic. We concentrate on the propositional calculus mostly, make some minor excursions to the predicate calculus and to the use of intuitionistic logic in intuitionistic formal systems, in particular Heyting Arithmetic. We have chosen a selection of topics that show various sides of intuitionistic logic. In no way we strive for a complete overview in this short course. Even though we approach the subject for the most part only formally, it is good to have a general introduction to intuitionism. -
Peter Koellner
Peter Koellner Department of Philosophy 50 Follen St. 320 Emerson Hall, Harvard University Cambridge, MA, 02138 Cambridge, MA 02138 (617) 821-4688 (617) 495-3970 [email protected] Employment Professor of Philosophy, Harvard University, (2010{) John L. Loeb Associate Professor of the Humanities, Harvard University, (2008{2010) Assistant Professor of Philosophy, Harvard University, (2003{2008) Education Ph.D. in Philosophy Massachusetts Institute of Technology, 2003 (Minor: Mathematical Logic) Research in Logic University of California, Berkeley Logic Group: 1998{2002 M.A. in Philosophy University of Western Ontario, 1996 B.A. in Philosophy University of Toronto, 1995 Research Interests Primary: Set Theory, Foundations of Mathematics, Philosophy of Mathematics Secondary: Foundations of Physics, Early Analytic Philosophy, History of Philosophy and the Exact Sciences Academic Awards and Honors • John Templeton Foundation Research Grant: Exploring the Frontiers of Incompleteness; 2011-2013 |$195,029 • Kurt G¨odelCentenary Research Fellowship Prize; 2008{2011 |$130,000 • John Templeton Foundation Research Grant: Exploring the Infinite (with W. Hugh Woodin); 2008{2009 |$50,000 • Clarke-Cooke Fellowships; 2005{2006, 2006{2007 • Social Sciences and Humanities Research Council of Canada Scholarship, 1996{2000 (tenure 1998{2000: Berkeley) Peter Koellner Curriculum Vitae 2 of 4 Teaching Experience Courses taught at Harvard: Set Theory (Phil 143, Fall 2003) Set Theory: Large Cardinals from Determinacy (Math 242, Fall 2004) Set Theory: Inner Model -
The Higher Infinite in Proof Theory
The Higher Infinite in Proof Theory∗y Michael Rathjen Department of Pure Mathematics, University of Leeds Leeds LS2 9JT, United Kingdom 1 Introduction The higher infinite usually refers to the lofty reaches of Cantor's paradise, notably to the realm of large cardinals whose existence cannot be proved in the established for- malisation of Cantorian set theory, i.e. Zermelo-Fraenkel set theory with the axiom of choice. Proof theory, on the other hand, is commonly associated with the manipula- tion of syntactic objects, that is finite objects par excellence. However, finitary proof theory became already infinitary in the 1950's when Sch¨uttere-obtained Gentzen's ordinal analysis for number theory in a particular transparent way through the use of an infinitary proof system with the so-called !-rule (cf. [54]). Nowadays one even finds vestiges of large cardinals in ordinal-theoretic proof theory. Large cardinals have worked their way down through generalized recursion (in the shape of recursively large ordinals) to proof theory wherein they appear in the definition procedures of so-called collapsing functions which give rise to ordinal representation systems. The surprising use of ordinal representation systems employing \names" for large cardinals in current proof-theoretic ordinal analyses is the main theme of this paper. The exposition here diverges from the presentation given at the conference in two regards. Firstly, the talk began with a broad introduction, explaining the current rationale and goals of ordinal-theoretic proof theory, which take the place of the original Hilbert Program. Since this part of the talk is now incorporated in the first two sections of the BSL-paper [48] there is no point in reproducing it here. -
On the Intermediate Logic of Open Subsets of Metric Spaces Timofei Shatrov
On the intermediate logic of open subsets of metric spaces Timofei Shatrov abstract. In this paper we study the intermediate logic MLO( ) of open subsets of a metric space . This logic is closely related to Medvedev’sX logic X of finite problems ML. We prove several facts about this logic: its inclusion in ML, impossibility of its finite axiomatization and indistinguishability from ML within some large class of propositional formulas. Keywords: intermediate logic, Medvedev’s logic, axiomatization, indistin- guishability 1 Introduction In this paper we introduce and study a new intermediate logic MLO( ), which we first define using Kripke semantics and then we will try to ratio-X nalize this definition using the concepts from prior research in this field. An (intuitionistic) Kripke frame is a partially ordered set (F, ). A Kripke model is a Kripke frame with a valuation θ (a function which≤ maps propositional variables to upward-closed subsets of the Kripke frame). The notion of a propositional formula being true at some point w F of a model M = (F,θ) is defined recursively as follows: ∈ For propositional letter p , M, w p iff w θ(p ) i i ∈ i M, w ψ χ iff M, w ψ and M, w χ ∧ M, w ψ χ iff M, w ψ or M, w χ ∨ M, w ψ χ iff for any w′ w, M, w ψ implies M, w′ χ → ≥ M, w 6 ⊥ A formula is true in a model M if it is true in each point of M. A formula is valid in a frame F if it is true in all models based on that frame. -
Intermediate Logic
Intermediate Logic Richard Zach Philosophy 310 Winter Term 2015 McGill University Intermediate Logic by Richard Zach is licensed under a Creative Commons Attribution 4.0 International License. It is based on The Open Logic Text by the Open Logic Project, used under a Creative Commons Attribution 4.0 In- ternational License. Contents Prefacev I Sets, Relations, Functions1 1 Sets2 1.1 Basics ................................. 2 1.2 Some Important Sets......................... 3 1.3 Subsets ................................ 4 1.4 Unions and Intersections...................... 5 1.5 Pairs, Tuples, Cartesian Products ................. 7 1.6 Russell’s Paradox .......................... 9 2 Relations 10 2.1 Relations as Sets........................... 10 2.2 Special Properties of Relations................... 11 2.3 Orders................................. 12 2.4 Graphs ................................ 14 2.5 Operations on Relations....................... 15 3 Functions 17 3.1 Basics ................................. 17 3.2 Kinds of Functions.......................... 19 3.3 Inverses of Functions ........................ 20 3.4 Composition of Functions ..................... 21 3.5 Isomorphism............................. 22 3.6 Partial Functions........................... 22 3.7 Functions and Relations....................... 23 4 The Size of Sets 24 4.1 Introduction ............................. 24 4.2 Enumerable Sets........................... 24 4.3 Non-enumerable Sets........................ 28 i CONTENTS 4.4 Reduction.............................. -
Admissible Rules in Logic and Algebra
Admissible Rules in Logic and Algebra George Metcalfe Mathematics Institute University of Bern Pisa Summer Workshop on Proof Theory 12-15 June 2012, Pisa George Metcalfe (University of Bern) Admissible Rules in Logic and Algebra June2012,Pisa 1/107 Derivability vs Admissibility Consider a system defined by two rules: Nat(0) and Nat(x) ⊲ Nat(s(x)). The following rule is derivable: Nat(x) ⊲ Nat(s(s(x))). However, this rule is only admissible: Nat(s(x)) ⊲ Nat(x). But what if we add to the system: Nat(s(−1)) ??? George Metcalfe (University of Bern) Admissible Rules in Logic and Algebra June2012,Pisa 2/107 Derivability vs Admissibility Consider a system defined by two rules: Nat(0) and Nat(x) ⊲ Nat(s(x)). The following rule is derivable: Nat(x) ⊲ Nat(s(s(x))). However, this rule is only admissible: Nat(s(x)) ⊲ Nat(x). But what if we add to the system: Nat(s(−1)) ??? George Metcalfe (University of Bern) Admissible Rules in Logic and Algebra June2012,Pisa 2/107 Derivability vs Admissibility Consider a system defined by two rules: Nat(0) and Nat(x) ⊲ Nat(s(x)). The following rule is derivable: Nat(x) ⊲ Nat(s(s(x))). However, this rule is only admissible: Nat(s(x)) ⊲ Nat(x). But what if we add to the system: Nat(s(−1)) ??? George Metcalfe (University of Bern) Admissible Rules in Logic and Algebra June2012,Pisa 2/107 Derivability vs Admissibility Consider a system defined by two rules: Nat(0) and Nat(x) ⊲ Nat(s(x)). The following rule is derivable: Nat(x) ⊲ Nat(s(s(x))). -
Teach Yourself Logic 2016: a Study Guide
Teach Yourself Logic 2016: A Study Guide Peter Smith University of Cambridge Version of January 1, 2016 Pass it on, . That's the game I want you to learn. Pass it on. Alan Bennett, The History Boys c Peter Smith 2016 The latest version of this Guide can always be downloaded from logicmatters.net/tyl/ URLs in blue are live links to external web-pages or PDF documents. Internal cross-references to sections etc. are also live. But to avoid the text being covered in ugly red rashes internal links are not coloured { if you are reading onscreen, your cursor should change as you hover over such live links: try here. The Guide's layout is optimized for reading on-screen: try, for example, reading in iBooks on an iPad, or in double-page mode in Adobe Reader on a laptop. Contents A very quick introduction iii 1 Preliminaries1 1.1 Why this Guide for philosophers? ..................... 1 1.2 Why this Guide for mathematicians too?................. 2 1.3 A strategy for reading logic books (and why this Guide is so long)... 3 1.4 On the question of exercises ........................ 3 1.5 Assumed background ............................ 4 1.6 Do you really need more logic?....................... 6 1.7 How to prove it ............................... 7 2 How the Guide is structured9 2.1 Logic, in the broad sense .......................... 9 2.2 Mapping the field .............................. 10 2.3 Three comments on the Guide's structure................. 12 2.4 Choices, choices ............................... 13 3 First order logic 15 3.1 FOL: the basic topics............................ 15 3.2 The main recommendations on FOL................... -
Large Cardinals in Set Theory from Their Beginnings
208 BOOK REVIEWS MASON, L. J. and WOODHOUSE, N. M. J. Integrability, self-duality and twistor theory (London Mathematical Society Monographs (New Series) No. 15, Clarendon Press, Oxford, 1996), x + 364pp., 0 19 853498 1, (hardback) £45. Integrable systems of PDEs have come a long way for a subject where the object of study lacks a definition. In medicine it is common to define a condition by saying that to qualify a patient must exhibit (say) four out of six given symptoms and perhaps we should do something analogous to define integrability of a system of PDEs, the symptoms being things like: the existence of nonlinear "superpositions" of solutions; existence of "sufficient" constants of the motion; existence of a "Lax pair"; satisfying analogues of the Painleve condition for ODEs; etc. The unifying idea behind this book is the suggestion that one particular feature that is particularly important in integrability is the existence of a "twistor construction" for the system. The authors' hope (I am perhaps putting words into their mouths here) is that, if one knew how to say this correctly, it might serve as a single feature characterising integrable systems. The chain of ideas which has lead to this is as follows. One example of an integrable system is the self-dual Yang-Mills equations for a connection on a vector bundle over R4. One has a twistor construction for this system (the Ward correspondence) which puts solutions of this system in one-to-one correspondence with a certain set of holomorphic vector bundles over a subset of complex projective 3-space. -
Interpolation for Intermediate Logics Via Hyper- and Linear Nested Sequents
Interpolation for Intermediate Logics via Hyper- and Linear Nested Sequents Roman Kuznetsa1 Bj¨ornLellmanna2 a TU Wien, Austria Abstract The goal of this paper is extending to intermediate logics the constructive proof- theoretic method of proving Craig and Lyndon interpolation via hypersequents and nested sequents developed earlier for classical modal logics. While both Jankov and G¨odellogics possess hypersequent systems, we show that our method can only be applied to the former. To tackle the latter, we switch to linear nested sequents, demonstrate syntactic cut elimination for them, and use it to prove interpolation for G¨odellogic. Thereby, we answer in the positive the open question of whether G¨odel logic enjoys the Lyndon interpolation property. Keywords: Intermediate logics, hypersequents, linear nested sequents, interpolation, cut elimination, G¨odellogic, Lyndon interpolation 1 Introduction The Craig Interpolation Property (CIP) is one of the fundamental properties of for logics, alongside decidability, compactness, etc. It states that for any theorem A Ñ B of the logic, there must exist an interpolant C that only uses propositional variables common to A and B such that both A Ñ C and C Ñ B are theorems. The Lyndon Interpolation Property (LIP) strengthens the com- mon language requirement by demanding that each variable in C occur in both A and B with the same polarity as it does in C. One of the more ro- bust constructive methods of proving interpolation, which unlike many other methods, can yield both CIP and LIP, is the so-called proof-theoretic method, whereby an interpolant is constructed by induction on a given analytic sequent derivation of (a representation of) A Ñ B.