A Framework for Metamathematics
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Revisiting Gödel and the Mechanistic Thesis Alessandro Aldini, Vincenzo Fano, Pierluigi Graziani
Theory of Knowing Machines: Revisiting Gödel and the Mechanistic Thesis Alessandro Aldini, Vincenzo Fano, Pierluigi Graziani To cite this version: Alessandro Aldini, Vincenzo Fano, Pierluigi Graziani. Theory of Knowing Machines: Revisiting Gödel and the Mechanistic Thesis. 3rd International Conference on History and Philosophy of Computing (HaPoC), Oct 2015, Pisa, Italy. pp.57-70, 10.1007/978-3-319-47286-7_4. hal-01615307 HAL Id: hal-01615307 https://hal.inria.fr/hal-01615307 Submitted on 12 Oct 2017 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. Distributed under a Creative Commons Attribution| 4.0 International License Theory of Knowing Machines: Revisiting G¨odeland the Mechanistic Thesis Alessandro Aldini1, Vincenzo Fano1, and Pierluigi Graziani2 1 University of Urbino \Carlo Bo", Urbino, Italy falessandro.aldini, [email protected] 2 University of Chieti-Pescara \G. D'Annunzio", Chieti, Italy [email protected] Abstract. Church-Turing Thesis, mechanistic project, and G¨odelian Arguments offer different perspectives of informal intuitions behind the relationship existing between the notion of intuitively provable and the definition of decidability by some Turing machine. One of the most for- mal lines of research in this setting is represented by the theory of know- ing machines, based on an extension of Peano Arithmetic, encompassing an epistemic notion of knowledge formalized through a modal operator denoting intuitive provability. -
Specifying Verified X86 Software from Scratch
Specifying verified x86 software from scratch Mario Carneiro Carnegie Mellon University, Pittsburgh, PA, USA [email protected] Abstract We present a simple framework for specifying and proving facts about the input/output behavior of ELF binary files on the x86-64 architecture. A strong emphasis has been placed on simplicity at all levels: the specification says only what it needs to about the target executable, the specification is performed inside a simple logic (equivalent to first-order Peano Arithmetic), and the verification language and proof checker are custom-designed to have only what is necessary to perform efficient general purpose verification. This forms a part of the Metamath Zero project, to build a minimal verifier that is capable of verifying its own binary. In this paper, we will present the specification of the dynamic semantics of x86 machine code, together with enough information about Linux system calls to perform simple IO. 2012 ACM Subject Classification Theory of computation → Program verification; Theory of com- putation → Abstract machines Keywords and phrases x86-64, ISA specification, Metamath Zero, self-verification Digital Object Identifier 10.4230/LIPIcs.ITP.2019.19 Supplement Material The formalization is a part of the Metamath Zero project at https://github. com/digama0/mm0. Funding This material is based upon work supported by AFOSR grant FA9550-18-1-0120 and a grant from the Sloan Foundation. Acknowledgements I would like to thank my advisor Jeremy Avigad for his support and encourage- ment, and for his reviews of early drafts of this work. 1 Introduction The field of software verification is on the verge of a breakthrough. -
Number Theory
“mcs-ftl” — 2010/9/8 — 0:40 — page 81 — #87 4 Number Theory Number theory is the study of the integers. Why anyone would want to study the integers is not immediately obvious. First of all, what’s to know? There’s 0, there’s 1, 2, 3, and so on, and, oh yeah, -1, -2, . Which one don’t you understand? Sec- ond, what practical value is there in it? The mathematician G. H. Hardy expressed pleasure in its impracticality when he wrote: [Number theorists] may be justified in rejoicing that there is one sci- ence, at any rate, and that their own, whose very remoteness from or- dinary human activities should keep it gentle and clean. Hardy was specially concerned that number theory not be used in warfare; he was a pacifist. You may applaud his sentiments, but he got it wrong: Number Theory underlies modern cryptography, which is what makes secure online communication possible. Secure communication is of course crucial in war—which may leave poor Hardy spinning in his grave. It’s also central to online commerce. Every time you buy a book from Amazon, check your grades on WebSIS, or use a PayPal account, you are relying on number theoretic algorithms. Number theory also provides an excellent environment for us to practice and apply the proof techniques that we developed in Chapters 2 and 3. Since we’ll be focusing on properties of the integers, we’ll adopt the default convention in this chapter that variables range over the set of integers, Z. 4.1 Divisibility The nature of number theory emerges as soon as we consider the divides relation a divides b iff ak b for some k: D The notation, a b, is an abbreviation for “a divides b.” If a b, then we also j j say that b is a multiple of a. -
An Un-Rigorous Introduction to the Incompleteness Theorems∗
An un-rigorous introduction to the incompleteness theorems∗ phil 43904 Jeff Speaks October 8, 2007 1 Soundness and completeness When discussing Russell's logical system and its relation to Peano's axioms of arithmetic, we distinguished between the axioms of Russell's system, and the theorems of that system. Roughly, the axioms of a theory are that theory's basic assumptions, and the theorems are the formulae provable from the axioms using the rules provided by the theory. Suppose we are talking about the theory A of arithmetic. Then, if we express the idea that a certain sentence p is a theorem of A | i.e., provable from A's axioms | as follows: `A p Now we can introduce the notion of the valid sentences of a theory. For our purposes, think of a valid sentence as a sentence in the language of the theory that can't be false. For example, consider a simple logical language which contains some predicates (written as upper-case letters), `not', `&', and some names, each of which is assigned some object or other in each interpretation. Now consider a sentence like F n In most cases, a sentence like this is going to be true on some interpretations, and false in others | it depends on which object is assigned to `n', and whether it is in the set of things assigned to `F '. However, if we consider a sentence like ∗The source for much of what follows is Michael Detlefsen's (much less un-rigorous) “G¨odel'stheorems", available at http://www.rep.routledge.com/article/Y005. -
The Metamathematics of Putnam's Model-Theoretic Arguments
The Metamathematics of Putnam's Model-Theoretic Arguments Tim Button Abstract. Putnam famously attempted to use model theory to draw metaphysical conclusions. His Skolemisation argument sought to show metaphysical realists that their favourite theories have countable models. His permutation argument sought to show that they have permuted mod- els. His constructivisation argument sought to show that any empirical evidence is compatible with the Axiom of Constructibility. Here, I exam- ine the metamathematics of all three model-theoretic arguments, and I argue against Bays (2001, 2007) that Putnam is largely immune to meta- mathematical challenges. Copyright notice. This paper is due to appear in Erkenntnis. This is a pre-print, and may be subject to minor changes. The authoritative version should be obtained from Erkenntnis, once it has been published. Hilary Putnam famously attempted to use model theory to draw metaphys- ical conclusions. Specifically, he attacked metaphysical realism, a position characterised by the following credo: [T]he world consists of a fixed totality of mind-independent objects. (Putnam 1981, p. 49; cf. 1978, p. 125). Truth involves some sort of correspondence relation between words or thought-signs and external things and sets of things. (1981, p. 49; cf. 1989, p. 214) [W]hat is epistemically most justifiable to believe may nonetheless be false. (1980, p. 473; cf. 1978, p. 125) To sum up these claims, Putnam characterised metaphysical realism as an \externalist perspective" whose \favorite point of view is a God's Eye point of view" (1981, p. 49). Putnam sought to show that this externalist perspective is deeply untenable. To this end, he treated correspondence in terms of model-theoretic satisfaction. -
Set-Theoretic Geology, the Ultimate Inner Model, and New Axioms
Set-theoretic Geology, the Ultimate Inner Model, and New Axioms Justin William Henry Cavitt (860) 949-5686 [email protected] Advisor: W. Hugh Woodin Harvard University March 20, 2017 Submitted in partial fulfillment of the requirements for the degree of Bachelor of Arts in Mathematics and Philosophy Contents 1 Introduction 2 1.1 Author’s Note . .4 1.2 Acknowledgements . .4 2 The Independence Problem 5 2.1 Gödelian Independence and Consistency Strength . .5 2.2 Forcing and Natural Independence . .7 2.2.1 Basics of Forcing . .8 2.2.2 Forcing Facts . 11 2.2.3 The Space of All Forcing Extensions: The Generic Multiverse 15 2.3 Recap . 16 3 Approaches to New Axioms 17 3.1 Large Cardinals . 17 3.2 Inner Model Theory . 25 3.2.1 Basic Facts . 26 3.2.2 The Constructible Universe . 30 3.2.3 Other Inner Models . 35 3.2.4 Relative Constructibility . 38 3.3 Recap . 39 4 Ultimate L 40 4.1 The Axiom V = Ultimate L ..................... 41 4.2 Central Features of Ultimate L .................... 42 4.3 Further Philosophical Considerations . 47 4.4 Recap . 51 1 5 Set-theoretic Geology 52 5.1 Preliminaries . 52 5.2 The Downward Directed Grounds Hypothesis . 54 5.2.1 Bukovský’s Theorem . 54 5.2.2 The Main Argument . 61 5.3 Main Results . 65 5.4 Recap . 74 6 Conclusion 74 7 Appendix 75 7.1 Notation . 75 7.2 The ZFC Axioms . 76 7.3 The Ordinals . 77 7.4 The Universe of Sets . 77 7.5 Transitive Models and Absoluteness . -
Q1: Is Every Tautology a Theorem? Q2: Is Every Theorem a Tautology?
Section 3.2: Soundness Theorem; Consistency. Math 350: Logic Class08 Fri 8-Feb-2001 This section is mainly about two questions: Q1: Is every tautology a theorem? Q2: Is every theorem a tautology? What do these questions mean? Review de¯nitions, and discuss. We'll see that the answer to both questions is: Yes! Soundness Theorem 1. (The Soundness Theorem: Special case) Every theorem of Propositional Logic is a tautol- ogy; i.e., for every formula A, if A, then = A. ` j Sketch of proof: Q: Is every axiom a tautology? Yes. Why? Q: For each of the four rules of inference, check: if the antecedent is a tautology, does it follow that the conclusion is a tautology? Q: How does this prove the theorem? A: Suppose we have a proof, i.e., a list of formulas: A1; ; An. A1 is guaranteed to be a tautology. Why? So A2 is guaranteed to be a tautology. Why? S¢o¢ ¢A3 is guaranteed to be a tautology. Why? And so on. Q: What is a more rigorous way to prove this? Ans: Use induction. Review: What does S A mean? What does S = A mean? Theorem 2. (The Soun`dness Theorem: General cjase) Let S be any set of formulas. Then every theorem of S is a tautological consequence of S; i.e., for every formula A, if S A, then S = A. ` j Proof: This uses similar ideas as the proof of the special case. We skip the proof. Adequacy Theorem 3. (The Adequacy Theorem for the formal system of Propositional Logic: Special Case) Every tautology is a theorem of Propositional Logic; i.e., for every formula A, if = A, then A. -
Proof of the Soundness Theorem for Sentential Logic
The Soundness Theorem for Sentential Logic These notes contain a proof of the Soundness Theorem for Sentential Logic. The Soundness Theorem says that our natural deduction proofs represent a sound (or correct) system of reasoning. Formally, the Soundness Theorem states that: If Γ├ φ then Γ╞ φ. This says that for any set of premises, if you can prove φ from that set, then φ is truth-functionally entailed by that set. In other words, if our rules let you prove that something follows from some premises, then it ‘really does’ follow from those premises. By definition Γ╞ φ means that there is no TVA that makes all of the members of Γ true and also makes φ false. Note that an equivalent definition would be “Γ╞ φ if any TVA that makes all the members of Γ true also makes φ true”. By contraposition, the soundness theorem is equivalent to “If it is not true that Γ╞ φ then it is not true that Γ├ φ.” Unpacking the definitions, this means “If there is a TVA that makes all the members of Γ true but makes φ false, then there is no way to prove φ from Γ.” We might call this “The Negative Criterion.” This is important since the standard way of showing that something is not provable is to give an invalidating TVA. This only works assuming that the soundness theorem is true. Let’s get started on the proof. We are trying to prove a conditional claim, so we assume its antecedent and try to prove its consequent. -
Video Lessons for Illustrative Mathematics: Grades 6-8 and Algebra I
Video Lessons for Illustrative Mathematics: Grades 6-8 and Algebra I The Department, in partnership with Louisiana Public Broadcasting (LPB), Illustrative Math (IM), and SchoolKit selected 20 of the critical lessons in each grade level to broadcast on LPB in July of 2020. These lessons along with a few others are still available on demand on the SchoolKit website. To ensure accessibility for students with disabilities, all recorded on-demand videos are available with closed captioning and audio description. Updated on August 6, 2020 Video Lessons for Illustrative Math Grades 6-8 and Algebra I Background Information: Lessons were identified using the following criteria: 1. the most critical content of the grade level 2. content that many students missed due to school closures in the 2019-20 school year These lessons constitute only a portion of the critical lessons in each grade level. These lessons are available at the links below: • Grade 6: http://schoolkitgroup.com/video-grade-6/ • Grade 7: http://schoolkitgroup.com/video-grade-7/ • Grade 8: http://schoolkitgroup.com/video-grade-8/ • Algebra I: http://schoolkitgroup.com/video-algebra/ The tables below contain information on each of the lessons available for on-demand viewing with links to individual lessons embedded for each grade level. • Grade 6 Video Lesson List • Grade 7 Video Lesson List • Grade 8 Video Lesson List • Algebra I Video Lesson List Video Lessons for Illustrative Math Grades 6-8 and Algebra I Grade 6 Video Lesson List 6th Grade Illustrative Mathematics Units 2, 3, -
History of Mathematics
History of Mathematics James Tattersall, Providence College (Chair) Janet Beery, University of Redlands Robert E. Bradley, Adelphi University V. Frederick Rickey, United States Military Academy Lawrence Shirley, Towson University Introduction. There are many excellent reasons to study the history of mathematics. It helps students develop a deeper understanding of the mathematics they have already studied by seeing how it was developed over time and in various places. It encourages creative and flexible thinking by allowing students to see historical evidence that there are different and perfectly valid ways to view concepts and to carry out computations. Ideally, a History of Mathematics course should be a part of every mathematics major program. A course taught at the sophomore-level allows mathematics students to see the great wealth of mathematics that lies before them and encourages them to continue studying the subject. A one- or two-semester course taught at the senior level can dig deeper into the history of mathematics, incorporating many ideas from the 19th and 20th centuries that could only be approached with difficulty by less prepared students. Such a senior-level course might be a capstone experience taught in a seminar format. It would be wonderful for students, especially those planning to become middle school or high school mathematics teachers, to have the opportunity to take advantage of both options. We also encourage History of Mathematics courses taught to entering students interested in mathematics, perhaps as First Year or Honors Seminars; to general education students at any level; and to junior and senior mathematics majors and minors. Ideally, mathematics history would be incorporated seamlessly into all courses in the undergraduate mathematics curriculum in addition to being addressed in a few courses of the type we have listed. -
Pure Mathematics
Why Study Mathematics? Mathematics reveals hidden patterns that help us understand the world around us. Now much more than arithmetic and geometry, mathematics today is a diverse discipline that deals with data, measurements, and observations from science; with inference, deduction, and proof; and with mathematical models of natural phenomena, of human behavior, and social systems. The process of "doing" mathematics is far more than just calculation or deduction; it involves observation of patterns, testing of conjectures, and estimation of results. As a practical matter, mathematics is a science of pattern and order. Its domain is not molecules or cells, but numbers, chance, form, algorithms, and change. As a science of abstract objects, mathematics relies on logic rather than on observation as its standard of truth, yet employs observation, simulation, and even experimentation as means of discovering truth. The special role of mathematics in education is a consequence of its universal applicability. The results of mathematics--theorems and theories--are both significant and useful; the best results are also elegant and deep. Through its theorems, mathematics offers science both a foundation of truth and a standard of certainty. In addition to theorems and theories, mathematics offers distinctive modes of thought which are both versatile and powerful, including modeling, abstraction, optimization, logical analysis, inference from data, and use of symbols. Mathematics, as a major intellectual tradition, is a subject appreciated as much for its beauty as for its power. The enduring qualities of such abstract concepts as symmetry, proof, and change have been developed through 3,000 years of intellectual effort. Like language, religion, and music, mathematics is a universal part of human culture. -
Mathematics (MATH) 1
Mathematics (MATH) 1 MATHEMATICS (MATH) Courses MATH-015 ARITHMETIC AND PRE-ALGEBRA 3.00 Credits Preparation for MATH 023 and MATH 025. Arithmetic with whole numbers, signed numbers, fractions, and decimals. Order of operations, variables, simplifying of algebraic expressions. Concrete representations of arithmetic operations and algebraic concepts are emphasized. Particularly appropriate for students who experience anxiety when learning mathematics. Course fee. MATH-023 BASIC ALGEBRA FOR MATH AS A LIBERAL ART 3.00 Credits Brief review of integer arithmetic, fraction arithmetic, percent and order of operations. Evaluating formulas. Units and unit analysis. Solving equations in one variable and using equations in one variable to solve application problems. Graphing linear equations, intercepts, slope, writing the equation of a line. Introduction to functions. Average rate of change, introduction to linear and exponential models. Simplifying exponential expressions, scientific notation, introduction to logarithms. Introduction to sets, counting methods, and discrete probability. Pre-requisite: A grade of C or better in Math-015 or satisfactory placement score. Course fee. MATH-025 BASIC ALGEBRA 3.00 Credits Brief review of prealgebra. Solving equations and inequalities in one variable; applications. Evaluating formulas; unit analysis. Graphing linear equations, intercepts, slope, writing the equation of a line, introduction to functions. Average rate of change and linear models. Graphing linear inequalities. Systems of linear equations; applications. Exponent rules and scientific notation. Addition, subtraction, multiplication, and factoring of polynomials in one variable. Using the zero product property to solve quadratic equations in one variable. Pre-requisite: A grade of 'C' or better in MATH-015 or satisfactory placement score. MATH-123 MATH IN MODERN SOCIETY 3.00 Credits This course introduces students to the form and function of mathematics as it applies to liberal-arts studies with a heavy emphasis on its applications.