Complete Topoi Representing Models of Set Theory
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Mathematisches Forschungsinstitut Oberwolfach Computability Theory
Mathematisches Forschungsinstitut Oberwolfach Report No. 08/2012 DOI: 10.4171/OWR/2012/08 Computability Theory Organised by Klaus Ambos-Spies, Heidelberg Rodney G. Downey, Wellington Steffen Lempp, Madison Wolfgang Merkle, Heidelberg February 5th – February 11th, 2012 Abstract. Computability is one of the fundamental notions of mathematics, trying to capture the effective content of mathematics. Starting from G¨odel’s Incompleteness Theorem, it has now blossomed into a rich area with strong connections with other areas of mathematical logic as well as algebra and theoretical computer science. Mathematics Subject Classification (2000): 03Dxx, 68xx. Introduction by the Organisers The workshop Computability Theory, organized by Klaus Ambos-Spies and Wolf- gang Merkle (Heidelberg), Steffen Lempp (Madison) and Rodney G. Downey (Wellington) was held February 5th–February 11th, 2012. This meeting was well attended, with 53 participants covering a broad geographic representation from five continents and a nice blend of researchers with various backgrounds in clas- sical degree theory as well as algorithmic randomness, computable model theory and reverse mathematics, reaching into theoretical computer science, model the- ory and algebra, and proof theory, respectively. Several of the talks announced breakthroughs on long-standing open problems; others provided a great source of important open problems that will surely drive research for several years to come. Computability Theory 399 Workshop: Computability Theory Table of Contents Carl Jockusch (joint with Rod Downey and Paul Schupp) Generic computability and asymptotic density ....................... 401 Laurent Bienvenu (joint with Andrei Romashchenko, Alexander Shen, Antoine Taveneaux, and Stijn Vermeeren) Are random axioms useful? ....................................... 403 Adam R. Day (joint with Joseph S. Miller) Cupping with Random Sets ...................................... -
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 . -
Axiomatic Set Teory P.D.Welch
Axiomatic Set Teory P.D.Welch. August 16, 2020 Contents Page 1 Axioms and Formal Systems 1 1.1 Introduction 1 1.2 Preliminaries: axioms and formal systems. 3 1.2.1 The formal language of ZF set theory; terms 4 1.2.2 The Zermelo-Fraenkel Axioms 7 1.3 Transfinite Recursion 9 1.4 Relativisation of terms and formulae 11 2 Initial segments of the Universe 17 2.1 Singular ordinals: cofinality 17 2.1.1 Cofinality 17 2.1.2 Normal Functions and closed and unbounded classes 19 2.1.3 Stationary Sets 22 2.2 Some further cardinal arithmetic 24 2.3 Transitive Models 25 2.4 The H sets 27 2.4.1 H - the hereditarily finite sets 28 2.4.2 H - the hereditarily countable sets 29 2.5 The Montague-Levy Reflection theorem 30 2.5.1 Absoluteness 30 2.5.2 Reflection Theorems 32 2.6 Inaccessible Cardinals 34 2.6.1 Inaccessible cardinals 35 2.6.2 A menagerie of other large cardinals 36 3 Formalising semantics within ZF 39 3.1 Definite terms and formulae 39 3.1.1 The non-finite axiomatisability of ZF 44 3.2 Formalising syntax 45 3.3 Formalising the satisfaction relation 46 3.4 Formalising definability: the function Def. 47 3.5 More on correctness and consistency 48 ii iii 3.5.1 Incompleteness and Consistency Arguments 50 4 The Constructible Hierarchy 53 4.1 The L -hierarchy 53 4.2 The Axiom of Choice in L 56 4.3 The Axiom of Constructibility 57 4.4 The Generalised Continuum Hypothesis in L. -
Integer-Valued Definable Functions
Integer-valued definable functions G. O. Jones, M. E. M. Thomas and A. J. Wilkie ABSTRACT We present a dichotomy, in terms of growth at infinity, of analytic functions definable in the real exponential field which take integer values at natural number inputs. Using a result concerning the density of rational points on curves definable in this structure, we show that if a definable, k analytic function 1: [0, oo)k_> lR is such that 1(N ) C;;; Z, then either sUPlxl(r 11(x)1 grows faster than exp(r"), for some 15 > 0, or 1 is a polynomial over <Ql. 1. Introduction The results presented in this note concern the growth at infinity of functions which are analytic and definable in the real field expanded by the exponential function and which take integer values on N. They are descendants of a theorem of P6lya [8J from 1915 concerning integer valued, entire functions on <C. This classic theorem tells us that 2z is, in some sense, the smallest non-polynomialfunction of this kind. More formally, letm(f,r) := sup{lf(z)1 : Izl ~ r}. P6lya's Theorem, refined in [3, 9J, states the following. THEOREM 1.1 [9, Theorem IJ. Iff: C --, C is an entire function which satisfies both f(N) <::: Z and . m(f, r) 11m sup < 1, r-->x 2r then f is a polynomial. This result cannot be directly transferred to the real analytic setting (for example, consider the function f (x) = sin( K::C)). In fact, it appears that there are very few results of this character known for such functions (some rare examples may be found in [1]). -
Definable Isomorphism Problem
Logical Methods in Computer Science Volume 15, Issue 4, 2019, pp. 14:1–14:19 Submitted Feb. 27, 2018 https://lmcs.episciences.org/ Published Dec. 11, 2019 DEFINABLE ISOMORPHISM PROBLEM KHADIJEH KESHVARDOOST a, BARTEK KLIN b, SLAWOMIR LASOTA b, JOANNA OCHREMIAK c, AND SZYMON TORUNCZYK´ b a Department of Mathematics, Velayat University, Iranshahr, Iran b University of Warsaw c CNRS, LaBRI, Universit´ede Bordeaux Abstract. We investigate the isomorphism problem in the setting of definable sets (equiv- alent to sets with atoms): given two definable relational structures, are they related by a definable isomorphism? Under mild assumptions on the underlying structure of atoms, we prove decidability of the problem. The core result is parameter-elimination: existence of an isomorphism definable with parameters implies existence of an isomorphism definable without parameters. 1. Introduction We consider hereditarily first-order definable sets, which are usually infinite, but can be finitely described and are therefore amenable to algorithmic manipulation. We drop the qualifiers herediatarily first-order, and simply call them definable sets in what follows. They are parametrized by a fixed underlying relational structure Atoms whose elements are called atoms. Example 1.1. Let Atoms be a countable set f1; 2; 3;:::g equipped with the equality relation only; we shall call this structure the pure set. Let V = f fa; bg j a; b 2 Atoms; a 6= b g ; E = f (fa; bg; fc; dg) j a; b; c; d 2 Atoms; a 6= b ^ a 6= c ^ a 6= d ^ b 6= c ^ b 6= d ^ c 6= d g : Both V and E are definable sets (over Atoms), as they are constructed from Atoms using (possibly nested) set-builder expressions with first-order guards ranging over Atoms. -
An Outline of Algebraic Set Theory
An Outline of Algebraic Set Theory Steve Awodey Dedicated to Saunders Mac Lane, 1909–2005 Abstract This survey article is intended to introduce the reader to the field of Algebraic Set Theory, in which models of set theory of a new and fascinating kind are determined algebraically. The method is quite robust, admitting adjustment in several respects to model different theories including classical, intuitionistic, bounded, and predicative ones. Under this scheme some familiar set theoretic properties are related to algebraic ones, like freeness, while others result from logical constraints, like definability. The overall theory is complete in two important respects: conventional elementary set theory axiomatizes the class of algebraic models, and the axioms provided for the abstract algebraic framework itself are also complete with respect to a range of natural models consisting of “ideals” of sets, suitably defined. Some previous results involving realizability, forcing, and sheaf models are subsumed, and the prospects for further such unification seem bright. 1 Contents 1 Introduction 3 2 The category of classes 10 2.1 Smallmaps ............................ 12 2.2 Powerclasses............................ 14 2.3 UniversesandInfinity . 15 2.4 Classcategories .......................... 16 2.5 Thetoposofsets ......................... 17 3 Algebraic models of set theory 18 3.1 ThesettheoryBIST ....................... 18 3.2 Algebraic soundness of BIST . 20 3.3 Algebraic completeness of BIST . 21 4 Classes as ideals of sets 23 4.1 Smallmapsandideals . .. .. 24 4.2 Powerclasses and universes . 26 4.3 Conservativity........................... 29 5 Ideal models 29 5.1 Freealgebras ........................... 29 5.2 Collection ............................. 30 5.3 Idealcompleteness . .. .. 32 6 Variations 33 References 36 2 1 Introduction Algebraic set theory (AST) is a new approach to the construction of models of set theory, invented by Andr´eJoyal and Ieke Moerdijk and first presented in [16]. -
On Lattices and Their Ideal Lattices, and Posets and Their Ideal Posets
This is the final preprint version of a paper which appeared at Tbilisi Math. J. 1 (2008) 89-103. Published version accessible to subscribers at http://www.tcms.org.ge/Journals/TMJ/Volume1/Xpapers/tmj1_6.pdf On lattices and their ideal lattices, and posets and their ideal posets George M. Bergman 1 ∗ 1 Department of Mathematics, University of California, Berkeley, CA 94720-3840, USA E-mail: [email protected] Abstract For P a poset or lattice, let Id(P ) denote the poset, respectively, lattice, of upward directed downsets in P; including the empty set, and let id(P ) = Id(P )−f?g: This note obtains various results to the effect that Id(P ) is always, and id(P ) often, \essentially larger" than P: In the first vein, we find that a poset P admits no <-respecting map (and so in particular, no one-to-one isotone map) from Id(P ) into P; and, going the other way, that an upper semilattice P admits no semilattice homomorphism from any subsemilattice of itself onto Id(P ): The slightly smaller object id(P ) is known to be isomorphic to P if and only if P has ascending chain condition. This result is strength- ened to say that the only posets P0 such that for every natural num- n ber n there exists a poset Pn with id (Pn) =∼ P0 are those having ascending chain condition. On the other hand, a wide class of cases is noted where id(P ) is embeddable in P: Counterexamples are given to many variants of the statements proved. -
Combinatorics with Definable Sets: Euler Characteristics and Grothendieck Rings
COMBINATORICS WITH DEFINABLE SETS: EULER CHARACTERISTICS AND GROTHENDIECK RINGS JAN KRAJ´ICEKˇ AND THOMAS SCANLON Abstract. We recall the notions of weak and strong Euler characteristics on a first order structure and make explicit the notion of a Grothendieck ring of a structure. We define partially ordered Euler characteristic and Grothendieck ring and give a characterization of structures that have non-trivial partially or- dered Grothendieck ring. We give a generalization of counting functions to lo- cally finite structures, and use the construction to show that the Grothendieck ring of the complex numbers contains as a subring the ring of integer poly- nomials in continuum many variables. We prove the existence of universal strong Euler characteristic on a structure. We investigate the dependence of the Grothendieck ring on the theory of the structure and give a few counter- examples. Finally, we relate some open problems and independence results in bounded arithmetic to properties of particular Grothendieck rings. 1. Introduction What of elementary combinatorics holds true in a class of first order structures if sets, relations, and maps must be definable? For example, no finite set is in one-to-one correspondence with itself minus one point, and the same is true also for even infinite sets of reals if they, as well as the correspondences, are semi-algebraic, i.e. are definable in the real closed field R. Similarly for constructible sets and 2 maps in C. On the other hand, the infinite Ramsey statement ∞ → (∞)2 fails in C; the infinite unordered graph {(x, y) | x2 = y ∨ y2 = x} on C has no definable infinite clique or independent set. -
Basic Computability Theory
Basic Computability Theory Jaap van Oosten Department of Mathematics Utrecht University 1993, revised 2013 ii Introduction The subject of this course is the theory of computable or recursive functions. Computability Theory and Recursion Theory are two names for it; the former being more popular nowadays. 0.1 Why Computability Theory? The two most important contributions Logic has made to Mathematics, are formal definitions of proof and of algorithmic computation. How useful is this? Mathematicians are trained in understanding and constructing proofs from their first steps in the subject, and surely they can recognize a valid proof when they see one; likewise, algorithms have been an essential part of Mathematics for as long as it exists, and at the most elementary levels (think of long division, or Euclid’s algorithm for the greatest common divisor function). So why do we need a formal definition here? The main use is twofold. Firstly, a formal definition of proof (or algorithm) leads to an analysis of proofs (programs) in elementary reasoning steps (computation steps), thereby opening up the possibility of numerical classification of proofs (programs)1. In Proof Theory, proofs are assigned ordinal numbers, and theorems are classified according to the complexity of the proofs they need. In Complexity Theory, programs are analyzed according to the number of elementary computation steps they require (as a function of the input), and programming problems are classified in terms of these complexity functions. Secondly, a formal definition is needed once one wishes to explore the boundaries of the topic: what can be proved at all? Which kind of problems can be settled by an algorithm? It is this aspect that we will focus on in this course. -
Definable Sets in Ordered Structures. Ii Julia F
TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 295, Number 2, June 1986 DEFINABLE SETS IN ORDERED STRUCTURES. II JULIA F. KNIGHT1, ANAND PILLAY2 AND CHARLES STEINHORN3 ABSTRACT. It is proved that any O-minimal structure M (in which the un- derlying order is dense) is strongly O-minimal (namely, every N elementarily equivalent to M is O-minimal). It is simultaneously proved that if M is 0- minimal, then every definable set of n-tuples of M has finitely many "definably connected components." 0. Introduction. In this paper we study the structure of definable sets (of tuples) in an arbitrary O-minimal structure M (in which the underlying order is dense). Recall from [PSI, PS2] that the structure M is said to be O-minimal if M = (M, <, Ri)iei, where < is a total ordering on M and every definable (with param- eters) subset of M is a finite union of points in M and intervals (a, b) where aE M or a = -co and b E M or b = +co. M is said to be strongly O-minimal if every N which is elementarily equivalent to M is O-minimal. We will always assume that the underlying order of M is a dense order with no first or least element. In this paper we also introduce the notion of a definable set X C Mn being definably connected, and we prove THEOREM 0.1. Let M be O-minimal. Then any definable X C Mn is a disjoint union of finitely many definably connected definable sets. THEOREM 0.2. -
Some Elementary Informal Set Theory
Chapter 1 Some Elementary Informal Set Theory Set theory is due to Georg Cantor. \Elementary" in the title above does not apply to the body of his work, since he went into considerable technical depth in this, his new theory. It applies however to our coverage as we are going to restrict ourselves to elementary topics only. Cantor made many technical mistakes in the process of developing set theory, some of considerable consequence. The next section is about the easiest and most fundamental of his mistakes. How come he made mistakes? The reason is that his theory was not based on axioms and rigid rules of reasoning |a state of affairs for a theory that we loosely characterise as \informal". At the opposite end of informal we have the formal theories that are based on axioms and logic and are thus \safer" to develop (they do not lead to obvious contradictions). One cannot fault Cantor for not using logic in arguing his theorems |that process was not invented when he built his theory| but then, a fortiori, mathe- matical logic was not invented in Euclid's time either, and yet he did use axioms that stated how his building blocks, points, lines and planes interacted and be- haved! Guess what: Euclidean Geometry leads to no contradictions. The problem with Cantor's set theory is that anything goes as to what sets are and how they come about. He neglected to ask the most fundamental question: \How are sets formed?"y He just sidestepped this and simply said that a set is any collection. -
Modern Czech Logic: Vopenka and Hajek, History and Background
Modern Czech Logic: Vopěnka and Hájek, History and Background Vítězslav Švejdar∗ Charles University, Prague [email protected] Abstract We review some aspects of the history of modern Czech logic, with an emphasis on the role of Petr Vopěnka and Petr Hájek in the earlier stage of their careers. Keywords: Petr Vopěnka, Petr Hájek, Set Theory, Nonstandard Numbers, Semiset. 1 Introduction This paper is devoted to two distinguished Czech logicians, Petr Hájek and Petr Vopěnka. While Petr Hájek is well-known everywhere and has thousands of citations to his works in the WoS database, Petr Vopěnka is much less known. He did have some contacts in Poland and in Russia, but he did not travel much, and almost never left the Russia-dominated part of the world, and thus (as I was told by Petr Hájek) some of the people who knew his name even suspected that he might be a virtual person, much like Nicholas Bourbaki. Both Hájek and Vopěnka had a major influence on modern Czech (and world) logic. In this paper we will review some of their results and achievements. We will also mention their motivations and some social aspects of their work, and try to say something about their philosophical background. Vopěnka, though he had fewer Ph.D. students and fewer citations than Hájek, was nonetheless a key figure in the history of logic. We think that his early work can serve as a subject matter of an interesting historical research project. This paper could be viewed as an early step in such research. However, what is written here is based more on personal memories than on serious study of sources.