A Classical Defense Against Mathematical Empiricism
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i i “Abstractionism_OUP_for_copyediting” — 2016/4/20 — 11:40 — page 1 — #10 i i 1 Introduction to Abstractionism Philip A. Ebert and Marcus Rossberg 1.1 WHAT IS ABSTRACTIONISM? Abstractionism in philosophy of mathematics has its origins in Gottlob Frege’s logicism—a position Frege developed in the late nineteenth and early twenti- eth century. Frege’s main aim wasfor to reduce copy-editing arithmetic and analysis to only logic in order to provide a secure foundation for mathematical knowledge. As is well known, Frege’s development of logicism failed. The infamous Basic Law V— one of the six basic laws of logic— Frege proposed in his magnum opus Grund- gesetze der Arithmetik—is subject to Russell’s Paradox. The striking feature of Frege’s Basic Law V is that it takes the form of an abstraction principle. The general form of an abstraction principle can by symbolised like this:1 ↵ = β ↵ β §( ) §( ) $ ⇠ where ‘ ’ is a term-forming operator applicable to expression of the type of ↵ § and β, and is an equivalence relation on entities denoted by expressions of ⇠ that type. Accordingly, abstraction principles are biconditionals that feature an equivalence relation on the right-hand side and an identity statement on the left-hand side. The abstracta denoted by the terms featuring in the identity statement on the left are taken to be introduced, in some sense, by the ab- straction principle, giving the equivalence on the right-hand side conceptual priority over them. More on this below. Frege’s ill-fated Basic Law V, involves co-extentionality (of functions) as the relevant equivalence relation on the right-hand side, introducing, what Frege – termed value-ranges, "' " , on the left:2 ( ) 1Here and below, we will omit prefixed universal quantifiers in abstraction principles. -
The Logic of Provability
The Logic of Provability Notes by R.J. Buehler Based on The Logic of Provability by George Boolos September 16, 2014 ii Contents Preface v 1 GL and Modal Logic1 1.1 Introduction..........................................1 1.2 Natural Deduction......................................2 1.2.1 ...........................................2 1.2.2 3 ...........................................2 1.3 Definitions and Terms....................................3 1.4 Normality...........................................4 1.5 Refining The System.....................................6 2 Peano Arithmetic 9 2.1 Introduction..........................................9 2.2 Basic Model Theory..................................... 10 2.3 The Theorems of PA..................................... 10 2.3.1 P-Terms........................................ 10 2.3.2Σ,Π, and∆ Formulas................................ 11 2.3.3 G¨odelNumbering................................... 12 2.3.4 Bew(x)........................................ 12 2.4 On the Choice of PA..................................... 13 3 The Box as Bew(x) 15 3.1 Realizations and Translations................................ 15 3.2 The Generalized Diagonal Lemma............................. 16 3.3 L¨ob'sTheorem........................................ 17 3.4 K4LR............................................. 19 3.5 The Box as Provability.................................... 20 3.6 GLS.............................................. 21 4 Model Theory for GL 23 5 Completeness & Decidability of GL 25 6 Canonical Models 27 7 On -
Yesterday's Algorithm: Penrose on the Gödel Argument
Yesterday’s Algorithm: Penrose and the Gödel Argument §1. The Gödel Argument. Roger Penrose is justly famous for his work in physics and mathematics but he is notorious for his endorsement of the Gödel argument (see his 1989, 1994, 1997). This argument, first advanced by J. R. Lucas (in 1961), attempts to show that Gödel’s (first) incompleteness theorem can be seen to reveal that the human mind transcends all algorithmic models of it1. Penrose's version of the argument has been seen to fall victim to the original objections raised against Lucas (see Boolos (1990) and for a particularly intemperate review, Putnam (1994)). Yet I believe that more can and should be said about the argument. Only a brief review is necessary here although I wish to present the argument in a somewhat peculiar form. Let us suppose that the human cognitive abilities that underlie our propensities to acquire mathematical beliefs on the basis of what we call proofs can be given a classical cognitive psychological or computational explanation (henceforth I will often use ‘belief’ as short for ‘belief on the basis of proof’). These propensities are of at least two types: the ability to appreciate chains of logical reasoning but also the ability to recognise ‘elementary proofs’ or, it would perhaps be better to say, elementary truths, such as if a = b and b = c then a = c, without any need or, often, any possibility of proof in the first sense. On this supposition, these propensities are the realization of a certain definite algorithm or program somehow implemented by the neural hardware of the brain. -
Ground and Explanation in Mathematics
volume 19, no. 33 ncreased attention has recently been paid to the fact that in math- august 2019 ematical practice, certain mathematical proofs but not others are I recognized as explaining why the theorems they prove obtain (Mancosu 2008; Lange 2010, 2015a, 2016; Pincock 2015). Such “math- ematical explanation” is presumably not a variety of causal explana- tion. In addition, the role of metaphysical grounding as underwriting a variety of explanations has also recently received increased attention Ground and Explanation (Correia and Schnieder 2012; Fine 2001, 2012; Rosen 2010; Schaffer 2016). Accordingly, it is natural to wonder whether mathematical ex- planation is a variety of grounding explanation. This paper will offer several arguments that it is not. in Mathematics One obstacle facing these arguments is that there is currently no widely accepted account of either mathematical explanation or grounding. In the case of mathematical explanation, I will try to avoid this obstacle by appealing to examples of proofs that mathematicians themselves have characterized as explanatory (or as non-explanatory). I will offer many examples to avoid making my argument too dependent on any single one of them. I will also try to motivate these characterizations of various proofs as (non-) explanatory by proposing an account of what makes a proof explanatory. In the case of grounding, I will try to stick with features of grounding that are relatively uncontroversial among grounding theorists. But I will also Marc Lange look briefly at how some of my arguments would fare under alternative views of grounding. I hope at least to reveal something about what University of North Carolina at Chapel Hill grounding would have to look like in order for a theorem’s grounds to mathematically explain why that theorem obtains. -
Imre Lakatos's Philosophy of Mathematics
Imre Lakatos’s Philosophy of Mathematics Gábor Kutrovátz Eötvös Loránd University, Budapest e-mail: [email protected] Introduction Imre Lakatos (1922-1974) is known world-wide by at least two different groups of philosophers. For the philosophers of science, he was a great defender of scientific rationality: he gave up the idea of ‘instant’ methodological rationality and substituted it with the historiographical methodology based on the notion of ‘rational reconstruction’. For the philosophers of mathematics, he was a great attacker at the formalist school, and instead of the formal-axiomatic features of mathematics he put the emphasis on heuristics, the historical processes of theory building and conceptualisation. These two ‘incarnations’ of Lakatos are rarely discussed within a unique philosophical framework, and not without reason: Lakatos himself never really tried to harmonise these two fields of interest. There are signs showing that he intended to build a common ground for them, but perhaps this project could not even take a very definite shape before his early death. In this paper I shall concentrate on only one of these topics: his philosophy of mathematics; and my primary aim is to give a brief and coherent summary of his ideas concerning this field. It should be noted, however, that his philosophy of mathematics and that of science obviously have some characteristics in common, since they were contrived by the same man, and not at a great temporal distance in his academic life, when he was under very similar intellectual influences. My secondary purpose therefore is to build this summary in a way that is in accordance with his general philosophical theory of science, that is, to give a mild ‘rational reconstruction’ of his ideas.1 The context of Lakatos’s philosophy of mathematics In the Acknowledgements of his doctoral thesis wrote on the philosophy of mathematics, Lakatos mentions three authors as the most influential sources for his philosophy. -
Measure Theory and Probability
Measure theory and probability Alexander Grigoryan University of Bielefeld Lecture Notes, October 2007 - February 2008 Contents 1 Construction of measures 3 1.1Introductionandexamples........................... 3 1.2 σ-additive measures ............................... 5 1.3 An example of using probability theory . .................. 7 1.4Extensionofmeasurefromsemi-ringtoaring................ 8 1.5 Extension of measure to a σ-algebra...................... 11 1.5.1 σ-rings and σ-algebras......................... 11 1.5.2 Outermeasure............................. 13 1.5.3 Symmetric difference.......................... 14 1.5.4 Measurable sets . ............................ 16 1.6 σ-finitemeasures................................ 20 1.7Nullsets..................................... 23 1.8 Lebesgue measure in Rn ............................ 25 1.8.1 Productmeasure............................ 25 1.8.2 Construction of measure in Rn. .................... 26 1.9 Probability spaces ................................ 28 1.10 Independence . ................................. 29 2 Integration 38 2.1 Measurable functions.............................. 38 2.2Sequencesofmeasurablefunctions....................... 42 2.3 The Lebesgue integral for finitemeasures................... 47 2.3.1 Simplefunctions............................ 47 2.3.2 Positivemeasurablefunctions..................... 49 2.3.3 Integrablefunctions........................... 52 2.4Integrationoversubsets............................ 56 2.5 The Lebesgue integral for σ-finitemeasure................. -
The Development of Mathematical Logic from Russell to Tarski: 1900–1935
The Development of Mathematical Logic from Russell to Tarski: 1900–1935 Paolo Mancosu Richard Zach Calixto Badesa The Development of Mathematical Logic from Russell to Tarski: 1900–1935 Paolo Mancosu (University of California, Berkeley) Richard Zach (University of Calgary) Calixto Badesa (Universitat de Barcelona) Final Draft—May 2004 To appear in: Leila Haaparanta, ed., The Development of Modern Logic. New York and Oxford: Oxford University Press, 2004 Contents Contents i Introduction 1 1 Itinerary I: Metatheoretical Properties of Axiomatic Systems 3 1.1 Introduction . 3 1.2 Peano’s school on the logical structure of theories . 4 1.3 Hilbert on axiomatization . 8 1.4 Completeness and categoricity in the work of Veblen and Huntington . 10 1.5 Truth in a structure . 12 2 Itinerary II: Bertrand Russell’s Mathematical Logic 15 2.1 From the Paris congress to the Principles of Mathematics 1900–1903 . 15 2.2 Russell and Poincar´e on predicativity . 19 2.3 On Denoting . 21 2.4 Russell’s ramified type theory . 22 2.5 The logic of Principia ......................... 25 2.6 Further developments . 26 3 Itinerary III: Zermelo’s Axiomatization of Set Theory and Re- lated Foundational Issues 29 3.1 The debate on the axiom of choice . 29 3.2 Zermelo’s axiomatization of set theory . 32 3.3 The discussion on the notion of “definit” . 35 3.4 Metatheoretical studies of Zermelo’s axiomatization . 38 4 Itinerary IV: The Theory of Relatives and Lowenheim’s¨ Theorem 41 4.1 Theory of relatives and model theory . 41 4.2 The logic of relatives . -
Plato on the Foundations of Modern Theorem Provers
The Mathematics Enthusiast Volume 13 Number 3 Number 3 Article 8 8-2016 Plato on the foundations of Modern Theorem Provers Ines Hipolito Follow this and additional works at: https://scholarworks.umt.edu/tme Part of the Mathematics Commons Let us know how access to this document benefits ou.y Recommended Citation Hipolito, Ines (2016) "Plato on the foundations of Modern Theorem Provers," The Mathematics Enthusiast: Vol. 13 : No. 3 , Article 8. Available at: https://scholarworks.umt.edu/tme/vol13/iss3/8 This Article is brought to you for free and open access by ScholarWorks at University of Montana. It has been accepted for inclusion in The Mathematics Enthusiast by an authorized editor of ScholarWorks at University of Montana. For more information, please contact [email protected]. TME, vol. 13, no.3, p.303 Plato on the foundations of Modern Theorem Provers Inês Hipolito1 Nova University of Lisbon Abstract: Is it possible to achieve such a proof that is independent of both acts and dispositions of the human mind? Plato is one of the great contributors to the foundations of mathematics. He discussed, 2400 years ago, the importance of clear and precise definitions as fundamental entities in mathematics, independent of the human mind. In the seventh book of his masterpiece, The Republic, Plato states “arithmetic has a very great and elevating effect, compelling the soul to reason about abstract number, and rebelling against the introduction of visible or tangible objects into the argument” (525c). In the light of this thought, I will discuss the status of mathematical entities in the twentieth first century, an era when it is already possible to demonstrate theorems and construct formal axiomatic derivations of remarkable complexity with artificial intelligent agents the modern theorem provers. -
The Constituents of the Propositions of Logic Kevin C
10 The Constituents of the Propositions of Logic Kevin C. Klement 1 Introduction Many founders of modern logic—Frege and Russell among them—bemoan- ed the tendency, still found in most textbook treatments, to define the subject matter of logic as “the laws of thought” or “the principles of inference”. Such descriptions fail to capture logic’s objective nature; they make it too dependent on human psychology or linguistic practices. It is one thing to identify what logic is not about. It is another to say what it is about. I tell my students that logic studies relationships between the truth-values of propositions that hold in virtue of their form. But even this characterization leaves me uneasy. I don’t really know what a “form” is, and even worse perhaps, I don’t really know what these “propositions” are that have these forms. If propositions are considered merely as sentences or linguistic assertions, the definition does not seem like much of an improvement over the psychological definitions. Language is a human invention, but logic is more than that, or so it seems. It is perhaps forgiveable then that at certain times Russell would not have been prepared to give a very good answer to the question “What is Logic?”, such as when he attempted, but failed, to compose a paper with that title in October 1912. Given that Russell had recently completed Principia Mathematica, a work alleging to establish the reducibility of mathematics to logic, one might think this overly generous. What does the claim that mathematics reduces to logic come to if we cannot independently speci- Published in Acquaintance, Knowledge and Logic: New Essays on Bertrand Russell’s Problems of Philosophy, edited by Donovan Wishon and Bernard Linsky. -
Kuhn Versus Lakatos, Or Paradigms Ver Su S Research Programmes in the History of Economics
[HOPE Vol. 7 (1975) No. 41 Kuhn versus Lakatos, or paradigms ver su s research programmes in the history of economics Mark Blaug In the 1950’s and 1960’s economists learned their methodology from Popper. Not that many of them read Popper. Instead, they read Friedman, and perhaps few of them realized that Friedman is simply Popper-with-a-twist applied to economics. To be sure, Friedman was criticized, but the “Essay on the Methodology of Positive Economics” nevertheless survived to become the one arti- cle on methodology that virtually every economist has read at some stage in his career. The idea that unrealistic “assumptions” are nothing to worry about, provided that the theory deduced from them culminates in falsifiable predictions, carried conviction to economists long inclined by habit and tradition to take a purely instrumentalist view of their subject. All that is almost ancient history, however. The new wave is not Popper’s “falsifiability” but Kuhn’s “paradigms.” Again, it is un- likely that many economists read The Structure oj Scientific Revolu- tions (1962). Nevertheless, appeal to paradigmatic reasoning quickly became a regular feature of controversies in economics and “paradigm” is now the byword of every historian of economic thought.’ Recently, however, some commentators have expressed misgivings about Kuhnian methodology applied to economics, throw- ing doubt in particular on the view that “scientific revolutions” characterize the history of economic thought.* With these doubts I heartily concur. I will argue that the term “paradigm” ought to be banished from economic literature, unless surrounded by inverted commas. Suitably qualified, however, the term retains a function in the historical exposition of economic doctrines as a reminder of the Copyright 1976 by Mark Blaug MARKBLAUG is Head of the Research Unit in the Economics of Education at the University of London. -
PHI230 Philosophy of Science
Department of Philosophy Level 2 Module PHI230 Philosophy of Science LECTURER: George Botterill Office Hours Wed 12-1, Fri 1-2; external tel: (0114)2220580; email: [email protected] Lectures: Monday 2-3 in Hicks Building LT6 Friday 11-12 in Hicks Building LT5 Seminars: See MOLE unit to join: Monday 4-5 Jessop Building 215, Friday 12-1 Jessop Building 215 GENERAL OUTLINE This course will deal with major issues in the philosophy of science, with particular emphasis on the rationality of theory-change, explanation, the status of scientific laws, observation, and the structure of scientific theories. Most of the course will be devoted to the methodology of natural science, though we may also discuss some issues in the philosophy of the social sciences. Most of the issues presented revolve around two major debates in the philosophy of science: (1) the dispute between Kuhn and Popper about theory change (2) disagreements between positivist (or instrumentalist) and realist conceptions of science. Modern philosophy of science has become closely linked with the history of science. The course will reflect this by considering how well major developments in the history of science fit proposed methodological rules about how science ought to proceed. The Copernican Revolution in astronomy will be used as a case-study. 1 AIMS AND OBJECTIVES The main aims of this module are: • to introduce students to the debate about theory-change in science, deriving from the work of Popper, Kuhn, Feyerabend and Lakatos • to help students acquire an understanding of some important problems in the philosophy of science (concerning the topics of: explanation, observation, scientific realism, and the nature of laws) • to encourage students to enter into serious engagement with some of the major problems in the philosophy of science. -
Logic and Proof Release 3.18.4
Logic and Proof Release 3.18.4 Jeremy Avigad, Robert Y. Lewis, and Floris van Doorn Sep 10, 2021 CONTENTS 1 Introduction 1 1.1 Mathematical Proof ............................................ 1 1.2 Symbolic Logic .............................................. 2 1.3 Interactive Theorem Proving ....................................... 4 1.4 The Semantic Point of View ....................................... 5 1.5 Goals Summarized ............................................ 6 1.6 About this Textbook ........................................... 6 2 Propositional Logic 7 2.1 A Puzzle ................................................. 7 2.2 A Solution ................................................ 7 2.3 Rules of Inference ............................................ 8 2.4 The Language of Propositional Logic ................................... 15 2.5 Exercises ................................................. 16 3 Natural Deduction for Propositional Logic 17 3.1 Derivations in Natural Deduction ..................................... 17 3.2 Examples ................................................. 19 3.3 Forward and Backward Reasoning .................................... 20 3.4 Reasoning by Cases ............................................ 22 3.5 Some Logical Identities .......................................... 23 3.6 Exercises ................................................. 24 4 Propositional Logic in Lean 25 4.1 Expressions for Propositions and Proofs ................................. 25 4.2 More commands ............................................