Gödel Incompleteness Revisited Grégory Lafitte
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REFERENCE in ARITHMETIC §1. to Prove His Famous First
REFERENCE IN ARITHMETIC LAVINIA PICOLLO Abstract. Self-reference has played a prominent role in the development of metamath- ematics in the past century, starting with G¨odel'sfirst incompleteness theorem. Given the nature of this and other results in the area, the informal understanding of self-reference in arithmetic has sufficed so far. Recently, however, it has been argued that for other related issues in metamathematics and philosophical logic a precise notion of self-reference and, more generally, reference, is actually required. These notions have been so far elusive and are surrounded by an aura of scepticism that has kept most philosophers away. In this paper I suggest we shouldn't give up all hope. First, I introduce the reader to these issues. Second, I discuss the conditions a good notion of reference in arithmetic must satisfy. Accordingly, I then introduce adequate notions of reference for the language of first-order arithmetic, which I show to be fruitful for addressing the aforementioned issues in metamathematics. x1. To prove his famous first incompleteness result for arithmetic, G¨odel[5] developed a technique called \arithmetization" or “g¨odelization".It consists in codifying the expressions of the language of arithmetic with numbers, so that the language can `talk' about its own formulae. Then, he constructed a sentence in the language that he described as stating its own unprovability in a system satisfying certain conditions,1 and showed this sentence to be undecidable in the system. His method led to enormous progress in metamathematics and computer science, but also in philosophical logic and other areas of philosophy where formal methods became popular. -
Forcopy-Editing Only
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 Busy Beaver Frontier
Electronic Colloquium on Computational Complexity, Report No. 115 (2020) The Busy Beaver Frontier Scott Aaronson∗ Abstract The Busy Beaver function, with its incomprehensibly rapid growth, has captivated genera- tions of computer scientists, mathematicians, and hobbyists. In this survey, I offer a personal view of the BB function 58 years after its introduction, emphasizing lesser-known insights, re- cent progress, and especially favorite open problems. Examples of such problems include: when does the BB function first exceed the Ackermann function? Is the value of BB(20) independent of set theory? Can we prove that BB(n + 1) > 2BB(n) for large enough n? Given BB(n), how many advice bits are needed to compute BB(n + 1)? Do all Busy Beavers halt on all inputs, not just the 0 input? Is it decidable, given n, whether BB(n) is even or odd? 1 Introduction The Busy Beaver1 function, defined by Tibor Rad´o[13] in 1962, is an extremely rapidly-growing function, defined by maximizing over the running times of all n-state Turing machines that eventu- ally halt. In my opinion, the BB function makes the concepts of computability and uncomputability more vivid than anything else ever invented. When I recently taught my 7-year-old daughter Lily about computability, I did so almost entirely through the lens of the ancient quest to name the biggest numbers one can. Crucially, that childlike goal, if pursued doggedly enough, inevitably leads to something like the BB function, and hence to abstract reasoning about the space of possi- ble computer programs, the halting problem, and so on.2 Let's give a more careful definition. -
The Busy Beaver Competition: a Historical Survey Pascal Michel
The Busy Beaver Competition: a historical survey Pascal Michel To cite this version: Pascal Michel. The Busy Beaver Competition: a historical survey. 2017. hal-00396880v6 HAL Id: hal-00396880 https://hal.archives-ouvertes.fr/hal-00396880v6 Preprint submitted on 4 Sep 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The Busy Beaver Competition: a historical survey Pascal MICHEL∗ Equipe´ de Logique Math´ematique, Institut de Math´ematiques de Jussieu–Paris Rive Gauche, UMR 7586, Bˆatiment Sophie Germain, case 7012, 75205 Paris Cedex 13, France and Universit´ede Cergy-Pontoise, ESPE, F-95000 Cergy-Pontoise, France [email protected] Version 6 September 4, 2019 Abstract Tibor Rado defined the Busy Beaver Competition in 1962. He used Turing machines to give explicit definitions for some functions that are not computable and grow faster than any computable function. He put forward the problem of computing the values of these functions on numbers 1, 2, 3, . .. More and more powerful computers have made possible the computation of lower bounds for these values. In 1988, Brady extended the definitions to functions on two variables. We give a historical survey of these works. -
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. -
Gödel's Incompleteness Theorem for Mathematicians
G¨odel'sIncompleteness Theorem for Mathematicians Burak Kaya METU [email protected] November 23, 2016 Burak Kaya (METU) METU Math Club Student Seminars November 23, 2016 1 / 21 Hilbert wanted to formalize all mathematics in an axiomatic system which is consistent, i.e. no contradiction can be obtained from the axioms. complete, i.e. every true statement can be proved from the axioms. decidable, i.e. given a mathematical statement, there should be a procedure for deciding its truth or falsity. In 1931, Kurt G¨odelproved his famous incompleteness theorems and showed that Hilbert's program cannot be achieved. In 1936, Alan Turing proved that Hilbert's Entscheindungsproblem cannot be solved, i.e. there is no general algorithm which will decide whether a given mathematical statement is provable (from a given set of axioms.) Hilbert's program In 1920's, David Hilbert proposed a research program in the foundations of mathematics to provide secure foundations to mathematics and to eliminate the paradoxes and inconsistencies discovered by then. Burak Kaya (METU) METU Math Club Student Seminars November 23, 2016 2 / 21 consistent, i.e. no contradiction can be obtained from the axioms. complete, i.e. every true statement can be proved from the axioms. decidable, i.e. given a mathematical statement, there should be a procedure for deciding its truth or falsity. In 1931, Kurt G¨odelproved his famous incompleteness theorems and showed that Hilbert's program cannot be achieved. In 1936, Alan Turing proved that Hilbert's Entscheindungsproblem cannot be solved, i.e. there is no general algorithm which will decide whether a given mathematical statement is provable (from a given set of axioms.) Hilbert's program In 1920's, David Hilbert proposed a research program in the foundations of mathematics to provide secure foundations to mathematics and to eliminate the paradoxes and inconsistencies discovered by then. -
Handout 2: October 25 Three Proofs of Undecidability Of
COS 487: Theory of Computation Fall 2000 Handout 2: October 25 Sanjeev Arora Three proofs of Undecidability of ATM (From G. Chaitin, “G¨o del’s Theorem and Information” International J. Theor. Physics 22 (1982), pp. 941-954.) 1. Define a function F where F (N) is defined to be either 1 more than the value of the Nth computable function applied to the natural number N, or zero if this value is undefined because the Nth computer program does not halt on input N. F cannot be a computable function, for if program M calculated it, then one would have F (M)= F (M) + 1, which is impossible. But the only way that F can fail to be computable is because one cannot decide in general if the Nth program ever halts when given input N. 2. This proof runs along the lines of Bertrand Russell’s paradox of the set of all things that are not members of themselves. Consider programs for enumerating sets of natural numbers, and number these computer programs. Define a set of natural numbers consisting of the numbers of all programs which do not include their own number in their output set. This set of natural numbers cannot be recursively enumerable, for if it were listed by computer program N, one arrives at Russell’s paradox of the barber in a small town who shaves all those and only those who do not shave themselves, and can neither shave himself nor avoid doing so. But the only way that this set can fail to be recursively enumerable is if it is impossible to decide whether or not a program ever outputs a specific natural number, and this is a variant of the halting problem. -
Infinite Time Computable Model Theory
INFINITE TIME COMPUTABLE MODEL THEORY JOEL DAVID HAMKINS, RUSSELL MILLER, DANIEL SEABOLD, AND STEVE WARNER Abstract. We introduce infinite time computable model theory, the com- putable model theory arising with infinite time Turing machines, which provide infinitary notions of computability for structures built on the reals R. Much of the finite time theory generalizes to the infinite time context, but several fundamental questions, including the infinite time computable analogue of the Completeness Theorem, turn out to be independent of ZFC. 1. Introduction Computable model theory is model theory with a view to the computability of the structures and theories that arise (for a standard reference, see [EGNR98]). Infinite time computable model theory, which we introduce here, carries out this program with the infinitary notions of computability provided by infinite time Turing ma- chines. The motivation for a broader context is that, while finite time computable model theory is necessarily limited to countable models and theories, the infinitary context naturally allows for uncountable models and theories, while retaining the computational nature of the undertaking. Many constructions generalize from finite time computable model theory, with structures built on N, to the infinitary theory, with structures built on R. In this article, we introduce the basic theory and con- sider the infinitary analogues of the completeness theorem, the L¨owenheim-Skolem Theorem, Myhill’s theorem and others. It turns out that, when stated in their fully general infinitary forms, several of these fundamental questions are independent of ZFC. The analysis makes use of techniques both from computability theory and set theory. This article follows up [Ham05]. -
Notes on Incompleteness Theorems
The Incompleteness Theorems ● Here are some fundamental philosophical questions with mathematical answers: ○ (1) Is there a (recursive) algorithm for deciding whether an arbitrary sentence in the language of first-order arithmetic is true? ○ (2) Is there an algorithm for deciding whether an arbitrary sentence in the language of first-order arithmetic is a theorem of Peano or Robinson Arithmetic? ○ (3) Is there an algorithm for deciding whether an arbitrary sentence in the language of first-order arithmetic is a theorem of pure (first-order) logic? ○ (4) Is there a complete (even if not recursive) recursively axiomatizable theory in the language of first-order arithmetic? ○ (5) Is there a recursively axiomatizable sub-theory of Peano Arithmetic that proves the consistency of Peano Arithmetic (even if it leaves other questions undecided)? ○ (6) Is there a formula of arithmetic that defines arithmetic truth in the standard model, N (even if it does not represent it)? ○ (7) Is the (non-recursively enumerable) set of truths in the language of first-order arithmetic categorical? If not, is it ω-categorical (i.e., categorical in models of cardinality ω)? ● Questions (1) -- (7) turn out to be linked. Their philosophical interest depends partly on the following philosophical thesis, of which we will make frequent, but inessential, use. ○ Church-Turing Thesis:A function is (intuitively) computable if/f it is recursive. ■ Church: “[T]he notion of an effectively calculable function of positive integers should be identified with that of recursive function (quoted in Epstein & Carnielli, 223).” ○ Note: Since a function is recursive if/f it is Turing computable, the Church-Turing Thesis also implies that a function is computable if/f it is Turing computable. -
Arxiv:2009.00315V2 [Math.LO] 15 Sep 2020 Tarski's Undefinability Theorem and Diagonal Lemma
Tarski’s Undefinability Theorem and Diagonal Lemma SAEED SALEHI Research Institute for Fundamental Sciences (RIFS), University of Tabriz, P.O.Box 51666–16471, Tabriz, IRAN. E-mail:[email protected] Abstract We prove the equivalence of the semantic version of Tarski’s theorem on the undefinability of truth with a semantic version of the Diagonal Lemma, and also show the equivalence of syntactic Tarski’s Undefinability Theorem with a weak syntactic diagonal lemma. We outline two seemingly diagonal-free proofs for these theorems from the literature, and show that syntactic Tarski’s theorem can deliver G¨odel-Rosser’s Incompleteness Theorem. Keywords: Diagonal Lemma, Diagonal-Free Proofs, G¨odels Incomplteness Theorem, Rossers Theorem, Self-Reference, Tarskis Undefinability Theorem. 2020 AMS MSC: 03F40, 03A05, 03F30, 03C40. 1 Introduction ONE OF THE CORNERSTONES of modern logic (and theory of incompleteness after G¨odel) is the Diagonal Lemma (aka Self-Reference, or Fixed-Point Lemma) due to G¨odel and Carnap (see [10] and the references therein). The lemma states that (when α 7→ pαq is a suitable G¨odel coding which assigns the closed term pαq to a syntactic expression or object α) for a given formula Ψ(x) with the only free variable x, there exists some sentence θ such that the equivalence Ψ(pθq) ↔ θ holds; “holding” could mean either being true in the standard model of natural numbers N or being provable in a suitable theory T (which is usually taken to be a consistent extension of Robinson’s arithmetic). When the equivalence Ψ(pθq) ↔ θ holds in N we call it the Semantic Diagonal Lemma (studied in Section 2); when T proves the equivalence, we call it the Syntactic Diagonal Lemma. -
Modal Realism and Metaphysical Nihilism Gonzalo Rodriguez-Pereyra
Mind, 2004, 113 (452), pp. 683-704. Modal Realism and Metaphysical Nihilism Gonzalo Rodriguez-Pereyra 1. Modal Realism is an ontological doctrine whose most characteristic thesis is that there exist non-actual possible individuals which are of a kind with actual individuals. That is, there are non-actual chairs, tables, donkeys, people and stars. As developed by David Lewis, Modal Realism is accompanied by a cluster of theses, for instance that all possible worlds (i.e. actual and non-actual possible worlds) exist, that all possible worlds are of a kind, that possible worlds are maximal sums of spatiotemporally related objects, and that a sentence like ‘it is possible that p’ is true just in case there is a possible world where p. Modal Realism has, among its theoretical benefits, a reductive account, within limits, of modality. Among its costs, it counts clashing with several intuitive views. One of these is the view that it is possible that nothing exists, that is, that there could have been nothing. Lewis saw that his Modal Realism is incompatible with this view (Lewis 1986, p. 73 and Lewis 1991, p. 13, footnote 6). Another closely related intuitive view with which Lewis’s Modal Realism is incompatible is what has recently been called Metaphysical Nihilism, namely that it is possible that nothing concrete exists, that is, that there could have been nothing concrete. Metaphysical Nihilism is not only intuitive, there are persuasive arguments in its favour. So, other things being equal, to be compatible with Metaphysical Nihilism is a theoretical virtue. In this paper I shall argue that Modal Realism can be modified so as to be compatible with Metaphysical Nihilism.