Choiceless L\" Owenheim-Skolem Property and Uniform Definability Of
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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 ...................................... -
Calibrating Determinacy Strength in Levels of the Borel Hierarchy
CALIBRATING DETERMINACY STRENGTH IN LEVELS OF THE BOREL HIERARCHY SHERWOOD J. HACHTMAN Abstract. We analyze the set-theoretic strength of determinacy for levels of the Borel 0 hierarchy of the form Σ1+α+3, for α < !1. Well-known results of H. Friedman and D.A. Martin have shown this determinacy to require α+1 iterations of the Power Set Axiom, but we ask what additional ambient set theory is strictly necessary. To this end, we isolate a family of Π1-reflection principles, Π1-RAPα, whose consistency strength corresponds 0 CK exactly to that of Σ1+α+3-Determinacy, for α < !1 . This yields a characterization of the levels of L by or at which winning strategies in these games must be constructed. When α = 0, we have the following concise result: the least θ so that all winning strategies 0 in Σ4 games belong to Lθ+1 is the least so that Lθ j= \P(!) exists + all wellfounded trees are ranked". x1. Introduction. Given a set A ⊆ !! of sequences of natural numbers, consider a game, G(A), where two players, I and II, take turns picking elements of a sequence hx0; x1; x2;::: i of naturals. Player I wins the game if the sequence obtained belongs to A; otherwise, II wins. For a collection Γ of subsets of !!, Γ determinacy, which we abbreviate Γ-DET, is the statement that for every A 2 Γ, one of the players has a winning strategy in G(A). It is a much-studied phenomenon that Γ -DET has mathematical strength: the bigger the pointclass Γ, the stronger the theory required to prove Γ -DET. -
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. -
Equivalents to the Axiom of Choice and Their Uses A
EQUIVALENTS TO THE AXIOM OF CHOICE AND THEIR USES A Thesis Presented to The Faculty of the Department of Mathematics California State University, Los Angeles In Partial Fulfillment of the Requirements for the Degree Master of Science in Mathematics By James Szufu Yang c 2015 James Szufu Yang ALL RIGHTS RESERVED ii The thesis of James Szufu Yang is approved. Mike Krebs, Ph.D. Kristin Webster, Ph.D. Michael Hoffman, Ph.D., Committee Chair Grant Fraser, Ph.D., Department Chair California State University, Los Angeles June 2015 iii ABSTRACT Equivalents to the Axiom of Choice and Their Uses By James Szufu Yang In set theory, the Axiom of Choice (AC) was formulated in 1904 by Ernst Zermelo. It is an addition to the older Zermelo-Fraenkel (ZF) set theory. We call it Zermelo-Fraenkel set theory with the Axiom of Choice and abbreviate it as ZFC. This paper starts with an introduction to the foundations of ZFC set the- ory, which includes the Zermelo-Fraenkel axioms, partially ordered sets (posets), the Cartesian product, the Axiom of Choice, and their related proofs. It then intro- duces several equivalent forms of the Axiom of Choice and proves that they are all equivalent. In the end, equivalents to the Axiom of Choice are used to prove a few fundamental theorems in set theory, linear analysis, and abstract algebra. This paper is concluded by a brief review of the work in it, followed by a few points of interest for further study in mathematics and/or set theory. iv ACKNOWLEDGMENTS Between the two department requirements to complete a master's degree in mathematics − the comprehensive exams and a thesis, I really wanted to experience doing a research and writing a serious academic paper. -
MAGIC Set Theory Lecture 6
MAGIC Set theory lecture 6 David Aspero´ University of East Anglia 15 November 2018 Recall: We defined (V : ↵ Ord) by recursion on Ord: ↵ 2 V = • 0 ; V = (V ) • ↵+1 P ↵ V = V : β<δ if δ is a limit ordinal. • δ { β } S (V : ↵ Ord) is called the cumulative hierarchy. ↵ 2 We saw: Proposition V↵ is transitive for every ordinal ↵. Proposition For all ↵<β, V V . ↵ ✓ β Definition For every x V , let rank(x) be the first ↵ such that 2 ↵ Ord ↵ x V . 2 2 ↵+1 S Definition For every set x, the transitive closure of x, denoted by TC(x), is X : n <! where { n } X = x S • 0 X = X • n+1 n So TC(x)=Sx x x x ... [ [ [ [ S SS SSS [Exercise: TC(x) is the –least transitive set y such that x y. ✓ ✓ In other words, TC(x)= y : y transitive, x y .] { ✓ } T Definition V denotes the class of all sets; that is, V = x : x = x . { } Definition WF = V : ↵ Ord : The class of all x such that x V for { ↵ 2 } 2 ↵ some ordinal ↵. S Note: WF is a transitive class: y x V implies y V since 2 2 ↵ 2 ↵ V↵ is transitive. Proposition If x WF, then there is some ↵ Ord such that x V . ✓ 2 ✓ ↵ Proof. Define the function F(y)=min γ y V . By the assumption { | 2 γ} on x, F is a well-defined function there. By Replacement γ y x : γ = F(y) is a set, and by Union it has a { |9 2 } supremum ↵. -
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. -
Omega-Models of Finite Set Theory
ω-MODELS OF FINITE SET THEORY ALI ENAYAT, JAMES H. SCHMERL, AND ALBERT VISSER Abstract. Finite set theory, here denoted ZFfin, is the theory ob- tained by replacing the axiom of infinity by its negation in the usual axiomatization of ZF (Zermelo-Fraenkel set theory). An ω-model of ZFfin is a model in which every set has at most finitely many elements (as viewed externally). Mancini and Zambella (2001) em- ployed the Bernays-Rieger method of permutations to construct a recursive ω-model of ZFfin that is nonstandard (i.e., not isomor- phic to the hereditarily finite sets Vω). In this paper we initiate the metamathematical investigation of ω-models of ZFfin. In par- ticular, we present a new method for building ω-models of ZFfin that leads to a perspicuous construction of recursive nonstandard ω-models of ZFfin without the use of permutations. Furthermore, we show that every recursive model of ZFfin is an ω-model. The central theorem of the paper is the following: Theorem A. For every graph (A, F ), where F is a set of un- ordered pairs of A, there is an ω-model M of ZFfin whose universe contains A and which satisfies the following conditions: (1) (A, F ) is definable in M; (2) Every element of M is definable in (M, a)a∈A; (3) If (A, F ) is pointwise definable, then so is M; (4) Aut(M) =∼ Aut(A, F ). Theorem A enables us to build a variety of ω-models with special features, in particular: Corollary 1. Every group can be realized as the automorphism group of an ω-model of ZFfin. -
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.