Cumulative Hierarchies and Computability Over Universes of Sets
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Does the Category of Multisets Require a Larger Universe Than
Pure Mathematical Sciences, Vol. 2, 2013, no. 3, 133 - 146 HIKARI Ltd, www.m-hikari.com Does the Category of Multisets Require a Larger Universe than that of the Category of Sets? Dasharath Singh (Former affiliation: Indian Institute of Technology Bombay) Department of Mathematics, Ahmadu Bello University, Zaria, Nigeria [email protected] Ahmed Ibrahim Isah Department of Mathematics Ahmadu Bello University, Zaria, Nigeria [email protected] Alhaji Jibril Alkali Department of Mathematics Ahmadu Bello University, Zaria, Nigeria [email protected] Copyright © 2013 Dasharath Singh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract In section 1, the concept of a category is briefly described. In section 2, it is elaborated how the concept of category is naturally intertwined with the existence of a universe of discourse much larger than what is otherwise sufficient for a large part of mathematics. It is also remarked that the extended universe for the category of sets is adequate for the category of multisets as well. In section 3, fundamentals required for adequately describing a category are extended to defining a multiset category, and some of its distinctive features are outlined. Mathematics Subject Classification: 18A05, 18A20, 18B99 134 Dasharath Singh et al. Keywords: Category, Universe, Multiset Category, objects. 1. Introduction to categories The history of science and that of mathematics, in particular, records that at times, a by- product may turn out to be of greater significance than the main objective of a research. -
“The Church-Turing “Thesis” As a Special Corollary of Gödel's
“The Church-Turing “Thesis” as a Special Corollary of Gödel’s Completeness Theorem,” in Computability: Turing, Gödel, Church, and Beyond, B. J. Copeland, C. Posy, and O. Shagrir (eds.), MIT Press (Cambridge), 2013, pp. 77-104. Saul A. Kripke This is the published version of the book chapter indicated above, which can be obtained from the publisher at https://mitpress.mit.edu/books/computability. It is reproduced here by permission of the publisher who holds the copyright. © The MIT Press The Church-Turing “ Thesis ” as a Special Corollary of G ö del ’ s 4 Completeness Theorem 1 Saul A. Kripke Traditionally, many writers, following Kleene (1952) , thought of the Church-Turing thesis as unprovable by its nature but having various strong arguments in its favor, including Turing ’ s analysis of human computation. More recently, the beauty, power, and obvious fundamental importance of this analysis — what Turing (1936) calls “ argument I ” — has led some writers to give an almost exclusive emphasis on this argument as the unique justification for the Church-Turing thesis. In this chapter I advocate an alternative justification, essentially presupposed by Turing himself in what he calls “ argument II. ” The idea is that computation is a special form of math- ematical deduction. Assuming the steps of the deduction can be stated in a first- order language, the Church-Turing thesis follows as a special case of G ö del ’ s completeness theorem (first-order algorithm theorem). I propose this idea as an alternative foundation for the Church-Turing thesis, both for human and machine computation. Clearly the relevant assumptions are justified for computations pres- ently known. -
Computability and Incompleteness Fact Sheets
Computability and Incompleteness Fact Sheets Computability Definition. A Turing machine is given by: A finite set of symbols, s1; : : : ; sm (including a \blank" symbol) • A finite set of states, q1; : : : ; qn (including a special \start" state) • A finite set of instructions, each of the form • If in state qi scanning symbol sj, perform act A and go to state qk where A is either \move right," \move left," or \write symbol sl." The notion of a \computation" of a Turing machine can be described in terms of the data above. From now on, when I write \let f be a function from strings to strings," I mean that there is a finite set of symbols Σ such that f is a function from strings of symbols in Σ to strings of symbols in Σ. I will also adopt the analogous convention for sets. Definition. Let f be a function from strings to strings. Then f is computable (or recursive) if there is a Turing machine M that works as follows: when M is started with its input head at the beginning of the string x (on an otherwise blank tape), it eventually halts with its head at the beginning of the string f(x). Definition. Let S be a set of strings. Then S is computable (or decidable, or recursive) if there is a Turing machine M that works as follows: when M is started with its input head at the beginning of the string x, then if x is in S, then M eventually halts, with its head on a special \yes" • symbol; and if x is not in S, then M eventually halts, with its head on a special • \no" symbol. -
The Iterative Conception of Set
The Iterative Conception of Set Thomas Forster Centre for Mathematical Sciences Wilberforce Road Cambridge, CB3 0WB, U.K. September 4, 2009 Contents 1 The Cumulative Hierarchy 2 2 The Two-Constructor case 5 2.1 Set Equality in the Two-Constructor Case . 6 3 More Wands 9 3.1 Second-order categoricity .................... 9 3.2 Equality . 10 3.3 Restricted quantifiers . 10 3.4 Forcing . 11 4 Objections 11 4.1 Sets Constituted by their Members . 12 4.2 The End of Time . 12 4.2.1 What is it an argument against? . 13 4.3 How Many Wands? . 13 5 Church-Oswald models 14 5.1 The Significance of the Church-Oswald Interpretation . 16 5.2 Forti-Honsell Antifoundation . 16 6 Envoi: Why considering the two-wand construction might be helpful 17 1 Abstract The two expressions “The cumulative hierarchy” and “The iterative con- ception of sets” are usually taken to be synonymous. However the second is more general than the first, in that there are recursive procedures that generate some illfounded sets in addition to wellfounded sets. The inter- esting question is whether or not the arguments in favour of the more restrictive version—the cumulative hierarchy—were all along arguments for the more general version. The phrase “The iterative conception of sets” conjures up a picture of a particular set-theoretic universe—the cumulative hierarchy—and the constant conjunction of phrase-with-picture is so reliable that people tend to think that the cumulative hierarchy is all there is to the iterative conception of sets: if you conceive sets iteratively then the result is the cumulative hierarchy. -
A Taste of Set Theory for Philosophers
Journal of the Indian Council of Philosophical Research, Vol. XXVII, No. 2. A Special Issue on "Logic and Philosophy Today", 143-163, 2010. Reprinted in "Logic and Philosophy Today" (edited by A. Gupta ans J.v.Benthem), College Publications vol 29, 141-162, 2011. A taste of set theory for philosophers Jouko Va¨an¨ anen¨ ∗ Department of Mathematics and Statistics University of Helsinki and Institute for Logic, Language and Computation University of Amsterdam November 17, 2010 Contents 1 Introduction 1 2 Elementary set theory 2 3 Cardinal and ordinal numbers 3 3.1 Equipollence . 4 3.2 Countable sets . 6 3.3 Ordinals . 7 3.4 Cardinals . 8 4 Axiomatic set theory 9 5 Axiom of Choice 12 6 Independence results 13 7 Some recent work 14 7.1 Descriptive Set Theory . 14 7.2 Non well-founded set theory . 14 7.3 Constructive set theory . 15 8 Historical Remarks and Further Reading 15 ∗Research partially supported by grant 40734 of the Academy of Finland and by the EUROCORES LogICCC LINT programme. I Journal of the Indian Council of Philosophical Research, Vol. XXVII, No. 2. A Special Issue on "Logic and Philosophy Today", 143-163, 2010. Reprinted in "Logic and Philosophy Today" (edited by A. Gupta ans J.v.Benthem), College Publications vol 29, 141-162, 2011. 1 Introduction Originally set theory was a theory of infinity, an attempt to understand infinity in ex- act terms. Later it became a universal language for mathematics and an attempt to give a foundation for all of mathematics, and thereby to all sciences that are based on mathematics. -
CS 173 Lecture 13: Bijections and Data Types
CS 173 Lecture 13: Bijections and Data Types Jos´eMeseguer University of Illinois at Urbana-Champaign 1 More on Bijections Bijecive Functions and Cardinality. If A and B are finite sets we know that f : A Ñ B is bijective iff |A| “ |B|. If A and B are infinite sets we can define that they have the same cardinality, written |A| “ |B| iff there is a bijective function. f : A Ñ B. This agrees with our intuition since, as f is in particular surjective, we can use f : A Ñ B to \list1" all elements of B by elements of A. The reason why writing |A| “ |B| makes sense is that, since f : A Ñ B is also bijective, we can also use f ´1 : B Ñ A to \list" all elements of A by elements of B. Therefore, this captures the notion of A and B having the \same degree of infinity," since their elements can be put into a bijective correspondence (also called a one-to-one and onto correspondence) with each other. We will also use the notation A – B as a shorthand for the existence of a bijective function f : A Ñ B. Of course, then A – B iff |A| “ |B|, but the two notations emphasize sligtly different, though equivalent, intuitions. Namely, A – B emphasizes the idea that A and B can be placed in bijective correspondence, whereas |A| “ |B| emphasizes the idea that A and B have the same cardinality. In summary, the notations |A| “ |B| and A – B mean, by definition: A – B ôdef |A| “ |B| ôdef Df P rAÑBspf bijectiveq Arrow Notation and Arrow Composition. -
A Linear Order on All Finite Groups
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 5 July 2020 doi:10.20944/preprints202006.0098.v3 CANONICAL DESCRIPTION OF GROUP THEORY: A LINEAR ORDER ON ALL FINITE GROUPS Juan Pablo Ram´ırez [email protected]; June 6, 2020 Guadalajara, Jal., Mexico´ Abstract We provide an axiomatic base for the set of natural numbers, that has been proposed as a canonical construction, and use this definition of N to find several results on finite group theory. Every finite group G, is well represented with a natural number NG; if NG = NH then H; G are in the same isomorphism class. We have a linear order, on the quotient space of isomorphism classes of finite groups, that is well behaved with respect to cardinality. If H; G are two finite groups such that j j j j ≤ ≤ n1 ⊕ n2 ⊕ · · · ⊕ nk n1 n2 ··· nk H = m < n = G , then H < Zn G Zp1 Zp2 Zpk where n = p1 p2 pk is the prime factorization of n. We find a canonical order for the objects of G and define equivalent objects of G, thus finding the automorphisms of G. The Cayley table of G takes canonical block form, and we are provided with a minimal set of independent equations that define the group. We show how to find all groups of order n, and order them. We give examples using all groups with order smaller than 10, and we find the canonical block form of the symmetry group ∆4. In the next section, we extend our results to the infinite case, which defines a real number as an infinite set of natural numbers. -
Paradefinite Zermelo-Fraenkel Set Theory
Paradefinite Zermelo-Fraenkel Set Theory: A Theory of Inconsistent and Incomplete Sets MSc Thesis (Afstudeerscriptie) written by Hrafn Valt´yrOddsson (born February 28'th 1991 in Selfoss, Iceland) under the supervision of Dr Yurii Khomskii, and submitted to the Examinations Board in partial fulfillment of the requirements for the degree of MSc in Logic at the Universiteit van Amsterdam. Date of the public defense: Members of the Thesis Committee: April 16, 2021 Dr Benno van den Berg (chair) Dr Yurii Khomskii (supervisor) Prof.dr Benedikt L¨owe Dr Luca Incurvati Dr Giorgio Venturi Contents Abstract iii Acknowledgments iv Introduction v I Logic 1 1 An Informal Introduction to the Logic 2 1.1 Simple partial logic . .2 1.2 Adding an implication . .4 1.3 Dealing with contradictions . .5 2 The Logic BS4 8 2.1 Syntax . .8 2.2 Semantics . .8 2.3 Defined connectives . 10 2.4 Proofs in BS4............................. 14 3 Algebraic Semantics 16 3.1 Twist-structures . 16 3.2 Twist-valued models . 18 II Paradefinite Zermelo{Fraenkel Set Theory 20 4 The Axioms 21 4.1 Extensionality . 21 4.2 Classes and separation . 22 4.3 Classical sets . 24 4.4 Inconsistent and incomplete sets . 29 4.5 Replacement . 31 4.6 Union . 32 4.7 Pairing . 33 i 4.8 Ordered pairs and relations . 34 4.9 Functions . 36 4.10 Power set . 37 4.11 Infinity and ordinals . 39 4.12 Foundation . 40 4.13 Choice . 41 4.14 The anti-classicality axiom . 42 4.15 The theories PZFC and BZF C .................. 43 5 A model of BZF C 44 5.1 T/F-models of set theory . -
Realisability for Infinitary Intuitionistic Set Theory 11
REALISABILITY FOR INFINITARY INTUITIONISTIC SET THEORY MERLIN CARL1, LORENZO GALEOTTI2, AND ROBERT PASSMANN3 Abstract. We introduce a realisability semantics for infinitary intuitionistic set theory that is based on Ordinal Turing Machines (OTMs). We show that our notion of OTM-realisability is sound with respect to certain systems of infinitary intuitionistic logic, and that all axioms of infinitary Kripke- Platek set theory are realised. As an application of our technique, we show that the propositional admissible rules of (finitary) intuitionistic Kripke-Platek set theory are exactly the admissible rules of intuitionistic propositional logic. 1. Introduction Realisability formalises that a statement can be established effectively or explicitly: for example, in order to realise a statement of the form ∀x∃yϕ, one needs to come up with a uniform method of obtaining a suitable y from any given x. Such a method is often taken to be a Turing program. Realisability originated as a formalisation of intuitionistic semantics. Indeed, it turned out to be well-chosen in this respect: the Curry-Howard-isomorphism shows that proofs in intuitionistic arithmetic correspond—in an effective way—to programs realising the statements they prove, see, e.g, van Oosten’s book [18] for a general introduction to realisability. From a certain perspective, however, Turing programs are quite limited as a formalisation of the concept of effective method. Hodges [9] argued that mathematicians rely (at least implicitly) on a concept of effectivity that goes far beyond Turing computability, allowing effective procedures to apply to transfinite and uncountable objects. Koepke’s [15] Ordinal Turing Machines (OTMs) provide a natural approach for modelling transfinite effectivity. -
A Foundation of Finite Mathematics1
Publ. RIMS, Kyoto Univ. 12 (1977), 577-708 A Foundation of Finite Mathematics1 By Moto-o TAKAHASHI* Contents Introduction 1. Informal theory of hereditarily finite sets 2. Formal theory of hereditarily finite sets, introduction 3. The formal system PCS 4. Some basic theorems and metatheorems in PCS 5. Set theoretic operations 6. The existence and the uniqueness condition 7. Alternative versions of induction principle 8. The law of the excluded middle 9. J-formulas 10. Expansion by definition of A -predicates 11. Expansion by definition of functions 12. Finite set theory 13. Natural numbers and number theory 14. Recursion theorem 15. Miscellaneous development 16. Formalizing formal systems into PCS 17. The standard model Ria, plausibility and completeness theorems 18. Godelization and Godel's theorems 19. Characterization of primitive recursive functions 20. Equivalence to primitive recursive arithmetic 21. Conservative expansion of PRA including all first order formulas 22. Extensions of number systems Bibliography Introduction The purpose of this article is to study the foundation of finite mathe- matics from the viewpoint of hereditarily finite sets. (Roughly speaking, Communicated by S. Takasu, February 21, 1975. * Department of Mathematics, University of Tsukuba, Ibaraki 300-31, Japan. 1) This work was supported by the Sakkokai Foundation. 578 MOTO-O TAKAHASHI finite mathematics is that part of mathematics which does not depend on the existence of the actual infinity.) We shall give a formal system for this theory and develop its syntax and semantics in some extent. We shall also study the relationship between this theory and the theory of primitive recursive arithmetic, and prove that they are essentially equivalent to each other. -
Commentationes Mathematicae Universitatis Carolinae
Commentationes Mathematicae Universitatis Carolinae Antonín Sochor Metamathematics of the alternative set theory. I. Commentationes Mathematicae Universitatis Carolinae, Vol. 20 (1979), No. 4, 697--722 Persistent URL: http://dml.cz/dmlcz/105962 Terms of use: © Charles University in Prague, Faculty of Mathematics and Physics, 1979 Institute of Mathematics of the Academy of Sciences of the Czech Republic provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use. This paper has been digitized, optimized for electronic delivery and stamped with digital signature within the project DML-CZ: The Czech Digital Mathematics Library http://project.dml.cz COMMENTATIONES MATHEMATICAE UN.VERSITATIS CAROLINAE 20, 4 (1979) METAMATHEMATICS OF THE ALTERNATIVE SET THEORY Antonin SOCHOR Abstract: In this paper the alternative set theory (AST) is described as a formal system. We show that there is an interpretation of Kelley-Morse set theory of finite sets in a very weak fragment of AST. This result is used to the formalization of metamathematics in AST. The article is the first paper of a series of papers describing metamathe- matics of AST. Key words: Alternative set theory, axiomatic system, interpretation, formalization of metamathematics, finite formula. Classification: Primary 02K10, 02K25 Secondary 02K05 This paper begins a series of articles dealing with me tamathematics of the alternative set theory (AST; see tVD). The first aim of our work (§ 1) is an introduction of AST as a formal system - we are going to formulate the axi oms of AST and define the basic notions of this theory. Do ing this we limit ourselves really to the formal side of the matter and the reader is referred to tV3 for the motivation of our axioms (although the author considers good motivati ons decisive for the whole work in AST). -
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.