Elementary Model Theory Notes for MATH 762
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⊥N AS an ABSTRACT ELEMENTARY CLASS We Show
⊥N AS AN ABSTRACT ELEMENTARY CLASS JOHN T. BALDWIN, PAUL C. EKLOF, AND JAN TRLIFAJ We show that the concept of an Abstract Elementary Class (AEC) provides a unifying notion for several properties of classes of modules and discuss the stability class of these AEC. An abstract elementary class consists of a class of models K and a strengthening of the notion of submodel ≺K such that (K, ≺K) satisfies ⊥ the properties described below. Here we deal with various classes ( N, ≺N ); the precise definition of the class of modules ⊥N is given below. A key innovation is ⊥ that A≺N B means A ⊆ B and B/A ∈ N. We define in the text the main notions used here; important background defini- tions and proofs from the theory of modules can be found in [EM02] and [GT06]; concepts of AEC are due to Shelah (e.g. [She87]) but collected in [Bal]. The surprising fact is that some of the basic model theoretic properties of the ⊥ ⊥ class ( N, ≺N ) translate directly to algebraic properties of the class N and the module N over the ring R that have previously been studied in quite a different context (approximation theory of modules, infinite dimensional tilting theory etc.). Our main results, stated with increasingly strong conditions on the ring R, are: ⊥ Theorem 0.1. (1) Let R be any ring and N an R–module. If ( N, ≺N ) is an AEC then N is a cotorsion module. Conversely, if N is pure–injective, ⊥ then the class ( N, ≺N ) is an AEC. (2) Let R be a right noetherian ring and N be an R–module of injective di- ⊥ ⊥ mension ≤ 1. -
Beyond First Order Logic: from Number of Structures to Structure of Numbers Part Ii
Bulletin of the Iranian Mathematical Society Vol. XX No. X (201X), pp XX-XX. BEYOND FIRST ORDER LOGIC: FROM NUMBER OF STRUCTURES TO STRUCTURE OF NUMBERS PART II JOHN BALDWIN, TAPANI HYTTINEN AND MEERI KESÄLÄ Communicated by Abstract. The paper studies the history and recent developments in non-elementary model theory focusing in the framework of ab- stract elementary classes. We discuss the role of syntax and seman- tics and the motivation to generalize first order model theory to non-elementary frameworks and illuminate the study with concrete examples of classes of models. This second part continues to study the question of catecoricity transfer and counting the number of structures of certain cardi- nality. We discuss more thoroughly the role of countable models, search for a non-elementary counterpart for the concept of com- pleteness and present two examples: One example answers a ques- tion asked by David Kueker and the other investigates models of Peano Arihmetic and the relation of an elementary end-extension in the terms of an abstract elementary class. Beyond First Order Logic: From number of structures to structure of numbers Part I studied the basic concepts in non-elementary model theory, such as syntax and semantics, the languages Lλκ and the notion of a complete theory in first order logic (i.e. in the language L!!), which determines an elementary class of structures. Classes of structures which cannot be axiomatized as the models of a first-order theory, but might have some other ’logical’ unifying attribute, are called non-elementary. MSC(2010): Primary: 65F05; Secondary: 46L05, 11Y50. -
Arxiv:1604.07743V3 [Math.LO] 14 Apr 2017 Aeoiiy Nicrils Re Property
SATURATION AND SOLVABILITY IN ABSTRACT ELEMENTARY CLASSES WITH AMALGAMATION SEBASTIEN VASEY Abstract. Theorem 0.1. Let K be an abstract elementary class (AEC) with amalga- mation and no maximal models. Let λ> LS(K). If K is categorical in λ, then the model of cardinality λ is Galois-saturated. This answers a question asked independently by Baldwin and Shelah. We deduce several corollaries: K has a unique limit model in each cardinal below λ, (when λ is big-enough) K is weakly tame below λ, and the thresholds of several existing categoricity transfers can be improved. We also prove a downward transfer of solvability (a version of superstability introduced by Shelah): Corollary 0.2. Let K be an AEC with amalgamation and no maximal mod- els. Let λ>µ> LS(K). If K is solvable in λ, then K is solvable in µ. Contents 1. Introduction 1 2. Extracting strict indiscernibles 4 3. Solvability and failure of the order property 8 4. Solvability and saturation 10 5. Applications 12 References 18 arXiv:1604.07743v3 [math.LO] 14 Apr 2017 1. Introduction 1.1. Motivation. Morley’s categoricity theorem [Mor65] states that if a countable theory has a unique model of some uncountable cardinality, then it has a unique model in all uncountable cardinalities. The method of proof led to the development of stability theory, now a central area of model theory. In the mid seventies, Shelah L conjectured a similar statement for classes of models of an ω1,ω-theory [She90, Date: September 7, 2018 AMS 2010 Subject Classification: Primary 03C48. -
Scheme Representation for First-Logic
Scheme representation for first-order logic Spencer Breiner Carnegie Mellon University Advisor: Steve Awodey Committee: Jeremy Avigad Hans Halvorson Pieter Hofstra February 12, 2014 arXiv:1402.2600v1 [math.LO] 11 Feb 2014 Contents 1 Logical spectra 11 1.1 The spectrum M0 .......................... 11 1.2 Sheaves on M0 ............................ 20 1.3 Thegenericmodel .......................... 24 1.4 The spectral groupoid M = Spec(T)................ 27 1.5 Stability, compactness and definability . 31 1.6 Classicalfirst-orderlogic. 37 2 Pretopos Logic 43 2.1 Coherentlogicandpretoposes. 43 2.2 Factorization in Ptop ........................ 51 2.3 Semantics, slices and localization . 57 2.4 Themethodofdiagrams. .. .. .. .. .. .. .. .. .. 61 2.5 ClassicaltheoriesandBooleanpretoposes . 70 3 Logical Schemes 74 3.1 StacksandSheaves.......................... 74 3.2 Affineschemes ............................ 80 3.3 Thecategoryoflogicalschemes . 87 3.4 Opensubschemesandgluing . 93 3.5 Limitsofschemes........................... 98 1 4 Applications 110 4.1 OT asasite..............................111 4.2 Structuresheafasuniverse . 119 4.3 Isotropy ................................125 4.4 ConceptualCompleteness . 134 2 Introduction Although contemporary model theory has been called “algebraic geometry mi- nus fields” [15], the formal methods of the two fields are radically different. This dissertation aims to shrink that gap by presenting a theory of “logical schemes,” geometric entities which relate to first-order logical theories in much the same way that -
Continuous First-Order Logic
Continuous First-Order Logic Wesley Calvert Calcutta Logic Circle 4 September 2011 Wesley Calvert (SIU / IMSc) Continuous First-Order Logic 4 September 2011 1 / 45 Definition A first-order theory T is said to be stable iff there are less than the maximum possible number of types over T , up to equivalence. Theorem (Shelah's Main Gap Theorem) If T is a first-order theory and is stable and . , then the class of models looks like . Otherwise, there's no hope. Model-Theoretic Beginnings Problem Given a theory T , describe the structure of models of T . Wesley Calvert (SIU / IMSc) Continuous First-Order Logic 4 September 2011 2 / 45 Theorem (Shelah's Main Gap Theorem) If T is a first-order theory and is stable and . , then the class of models looks like . Otherwise, there's no hope. Model-Theoretic Beginnings Problem Given a theory T , describe the structure of models of T . Definition A first-order theory T is said to be stable iff there are less than the maximum possible number of types over T , up to equivalence. Wesley Calvert (SIU / IMSc) Continuous First-Order Logic 4 September 2011 2 / 45 Model-Theoretic Beginnings Problem Given a theory T , describe the structure of models of T . Definition A first-order theory T is said to be stable iff there are less than the maximum possible number of types over T , up to equivalence. Theorem (Shelah's Main Gap Theorem) If T is a first-order theory and is stable and . , then the class of models looks like . Otherwise, there's no hope. -
Proof Diagrams for Multiplicative Linear Logic
Proof Diagrams for Multiplicative Linear Logic Matteo Acclavio I2M Marseille, France Aix-Marseile Universit´e [email protected] The original idea of proof nets can be formulated by means of interaction nets syntax. Additional machinery as switching, jumps and graph connectivity is needed in order to ensure correspondence between a proof structure and a correct proof in sequent calculus. In this paper we give an interpretationof proof nets in the syntax of string diagrams. Even though we lose standard proof equivalence, our construction allows to define a framework where soundness and well-typeness of a diagram can be verified in linear time. Introduction Proof nets are a geometrical representation of linear logic proofs introduced by J-Y.Girard [5]. The build- ing blocks of proof nets are called proof structures that have been generalized by Y. Lafont [11] in the so-called interaction nets. To recognize if a proof structure is a proof net one needs to verify its sequen- tializability property, that is, whether it corresponds to a linear logic proof derivation. Following Girard’s original correction criterion, others methods have been introduced, notably by Danos-Regnier [4], that ensures graph acyclicity by a notion of switchings on ⊗ cells, and by Guerrini [7], that reformulates correction by means of graph contractability. Proof structures allow to recover the semantic equivalence of derivation under commutation and permutation of some inference rules. Unfortunately this property makes ineffective the aforementioned criteria in presence of the multiplicative unit ⊥. In order to recover a sequentialization condition for the multiplicative fragment with units, Girard has introduced the notion of jumps [6]. -
Ultraproducts and Elementary Classes *
MATHEMATICS ULTRAPRODUCTS AND ELEMENTARY CLASSES * BY H. JEROME KEISLER (Communicated by Prof. A. HEYTING at the meeting of May 27, 1961 INTRODUCTION In the theory of models of the first order predicate logic with identity we study the relationship between notions from logic and purely mathe matical objects, called relational systems, or (first order) structures, m, consisting of a set A and a sequence of relations on A corresponding to the predicate symbols of the logic. In such studies some of the most useful methods are those which permit us to form structures which have certain semantical properties. For example, the completeness theorem permits us to form a structure which satisfies a given consistent set of sentences. A more recent tool is the reduced product operation, which is particularly simple and direct from the mathematical point of view. Speaking very roughly, a reduced product Iliei ill:i/D of the structures mi, i El, is formed by first taking their direct product and then forming the quotient system determined in a certain way by the filter D on the index set 1. If D is an ultrafilter we have an ultraproduct (or prime reduced product), and if each m:i coincides with a fixed system ill: we have a reduced power, or ultrapower, ill: I j D. Ultraproducts have recently been applied to obtain new, comparatively direct mathematical proofs and at the same time stronger forms of a number of theorems in model theory. An outstanding example is the proof of the compactness theorem outlined in [33]. They have also been used to obtain several completely new results in the theory of models (for example, see [35]). -
Notes on Mathematical Logic David W. Kueker
Notes on Mathematical Logic David W. Kueker University of Maryland, College Park E-mail address: [email protected] URL: http://www-users.math.umd.edu/~dwk/ Contents Chapter 0. Introduction: What Is Logic? 1 Part 1. Elementary Logic 5 Chapter 1. Sentential Logic 7 0. Introduction 7 1. Sentences of Sentential Logic 8 2. Truth Assignments 11 3. Logical Consequence 13 4. Compactness 17 5. Formal Deductions 19 6. Exercises 20 20 Chapter 2. First-Order Logic 23 0. Introduction 23 1. Formulas of First Order Logic 24 2. Structures for First Order Logic 28 3. Logical Consequence and Validity 33 4. Formal Deductions 37 5. Theories and Their Models 42 6. Exercises 46 46 Chapter 3. The Completeness Theorem 49 0. Introduction 49 1. Henkin Sets and Their Models 49 2. Constructing Henkin Sets 52 3. Consequences of the Completeness Theorem 54 4. Completeness Categoricity, Quantifier Elimination 57 5. Exercises 58 58 Part 2. Model Theory 59 Chapter 4. Some Methods in Model Theory 61 0. Introduction 61 1. Realizing and Omitting Types 61 2. Elementary Extensions and Chains 66 3. The Back-and-Forth Method 69 i ii CONTENTS 4. Exercises 71 71 Chapter 5. Countable Models of Complete Theories 73 0. Introduction 73 1. Prime Models 73 2. Universal and Saturated Models 75 3. Theories with Just Finitely Many Countable Models 77 4. Exercises 79 79 Chapter 6. Further Topics in Model Theory 81 0. Introduction 81 1. Interpolation and Definability 81 2. Saturated Models 84 3. Skolem Functions and Indescernables 87 4. Some Applications 91 5. -
Structural Logic and Abstract Elementary Classes with Intersections
STRUCTURAL LOGIC AND ABSTRACT ELEMENTARY CLASSES WITH INTERSECTIONS WILL BONEY AND SEBASTIEN VASEY Abstract. We give a syntactic characterization of abstract elementary classes (AECs) closed under intersections using a new logic with a quantifier for iso- morphism types that we call structural logic: we prove that AECs with in- tersections correspond to classes of models of a universal theory in structural logic. This generalizes Tarski's syntactic characterization of universal classes. As a corollary, we obtain that any AEC closed under intersections with count- able L¨owenheim-Skolem number is axiomatizable in L1;!(Q), where Q is the quantifier \there exists uncountably many". Contents 1. Introduction 1 2. Structural quantifiers 3 3. Axiomatizing abstract elementary classes with intersections 7 4. Equivalence vs. Axiomatization 11 References 13 1. Introduction 1.1. Background and motivation. Shelah's abstract elementary classes (AECs) [She87,Bal09,She09a,She09b] are a semantic framework to study the model theory of classes that are not necessarily axiomatized by an L!;!-theory. Roughly speak- ing (see Definition 2.4), an AEC is a pair (K; ≤K) satisfying some of the category- theoretic properties of (Mod(T ); ), for T an L!;!-theory. This encompasses classes of models of an L1;! sentence (i.e. infinite conjunctions and disjunctions are al- lowed), and even L1;!(hQλi ii<α) theories, where Qλi is the quantifier \there exists λi-many". Since the axioms of AECs do not contain any axiomatizability requirement, it is not clear whether there is a natural logic whose class of models are exactly AECs. More precisely, one can ask whether there is a natural abstract logic (in the sense of Barwise, see the survey [BFB85]) so that classes of models of theories in that logic are AECs and any AEC is axiomatized by a theory in that logic. -
Elementary Equivalence Versus Isomorphism
Elementary equivalence versus Isomorphism by Florian Pop at Bonn Lecture 1: Introduction and motivation / The Question It is one of the basic questions of Algebra to \classify" algebraic objects, like for instance fields, up to isomorphism. There are several aspects of this question, the main one being a formalized definition of \classifying". Rather than riding on such themes, we will start by giving two typical examples: 1) The isomorphy type of a finite field K is given by its cardinality jKj, i.e., if K and L are such fields, then K =∼ L iff jKj = jLj. 1) The isomorphy type of an algebraically closed field K is determined by two invariants: (i) Absolute transcendence degree td(K), (ii) The characteristic p = char(K) ≥ 0. In other words, if K and L are algebraically closed fields, then K =∼ L iff td(K) = td(L) and char(K) = char(L). Nevertheless, if we want to classify fields K up to isomorphism even in an \only a little bit" more general context, then we run into very serious difficulties... A typical example here is the attempt to give the isomorphy types of real closed fields (it seems first tried by Artin and Schreier). A real closed field Kpis \as close as possible" to its algebraic closure K, as [K : K] = 2, and K = K[ −1]. These fields were introduced by Artin in his famous proof of Hilbert's 17th Problem. Roughly speaking, the real closed fields are the fields having exactly the same algebraic properties as the reals R. One knows quite a lot about real closed fields, see e.g. -
Elementary Equivalence, Partial Isomorphisms, and Scott-Karp Analysis
Elementary Equivalence, Partial Isomorphisms, and Scott-Karp analysis 1 These are self-study notes I prepared when I was trying to understand the subject. 1 Elementary equivalence and Finite back and forth We begin by analyzing the power of finitary analysis of countable structures. In doing so, we introduce finitary versions of all the tools we will see later. This helps to clarify the need for the more powerful infinitary tools. Definition 1.1 Let A and B be two s-structures. A partial embedding between two structures A and A is a map p whose domain is a finite subset of A and range is a finite subset of B that preserves constants and relations. Namely, p has the following properties: (i) It is injective, (ii) For every constant c 2 s, cA 2 dom(p) and p(cA ) = cB , and (iii) For every n-ary relation R 2 s, and all a1;:::;an 2 dom(p), A B R (a1;:::;an) , R (p(a1);:::; p(an)): The above definition is purely structural. We could define a partial embedding using language as follows: A partial embedding between two s-structures A and B is a finite relation A B f(a1;b1);··· ;(an;bn)g [ f(c ;c ): c a constant in sg ⊂ A × B such that the simple extensions (A ;a1;:::;an) and (B ;b1;:::;bn) satisfy the same atomic sen- tences. Equivalently, for all j atomic, A j= j(a1;:::;an) , B j= j(b1;:::;bn). This definition allows us to define an extension of an embedding p as an embedding q whose graph contains the graph of p. -
Model Theory on Finite Structures∗
Model Theory on Finite Structures∗ Anuj Dawar Department of Computer Science University of Wales Swansea Swansea, SA2 8PP, U.K. e-mail: [email protected] 1 Introduction In mathematical logic, the notions of mathematical structure, language and proof themselves become the subject of mathematical investigation, and are treated as first class mathematical objects in their own right. Model theory is the branch of mathematical logic that is particularly concerned with the relationship between structure and language. It seeks to establish the limits of the expressive power of our formal language (usually the first order predicate calculus) by investigating what can or cannot be expressed in the language. The kinds of questions that are asked are: What properties can or cannot be formulated in first order logic? What structures or relations can or cannot be defined in first order logic? How does the expressive power of different logical languages compare? Model Theory arose in the context of classical logic, which was concerned with resolving the paradoxes of infinity and elucidating the nature of the infinite. The main constructions of model theory yield infinite structures and the methods and results assume that structures are, in general, infinite. As we shall see later, many, if not most, of these methods fail when we confine ourselves to finite structures Many questions that arise in computer science can be seen as being model theoretic in nature, in that they investigate the relationship between a formal language and a structure. However, most structures of interest in computer science are finite. The interest in finite model theory grew out of questions in theoretical computer science (particularly, database theory and complexity theory).