A Theory of Universes of Discourse for Metamathematics and Foundations
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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. -
Cantor, God, and Inconsistent Multiplicities*
STUDIES IN LOGIC, GRAMMAR AND RHETORIC 44 (57) 2016 DOI: 10.1515/slgr-2016-0008 Aaron R. Thomas-Bolduc University of Calgary CANTOR, GOD, AND INCONSISTENT MULTIPLICITIES* Abstract. The importance of Georg Cantor’s religious convictions is often ne- glected in discussions of his mathematics and metaphysics. Herein I argue, pace Jan´e(1995), that due to the importance of Christianity to Cantor, he would have never thought of absolutely infinite collections/inconsistent multiplicities, as being merely potential, or as being purely mathematical entities. I begin by considering and rejecting two arguments due to Ignacio Jan´e based on letters to Hilbert and the generating principles for ordinals, respectively, showing that my reading of Cantor is consistent with that evidence. I then argue that evidence from Cantor’s later writings shows that he was still very religious later in his career, and thus would not have given up on the reality of the absolute, as that would imply an imperfection on the part of God. The theological acceptance of his set theory was very important to Can- tor. Despite this, the influence of theology on his conception of absolutely infinite collections, or inconsistent multiplicities, is often ignored in contem- porary literature.1 I will be arguing that due in part to his religious convic- tions, and despite an apparent tension between his earlier and later writings, Cantor would never have considered inconsistent multiplicities (similar to what we now call proper classes) as completed in a mathematical sense, though they are completed in Intellectus Divino. Before delving into the issue of the actuality or otherwise of certain infinite collections, it will be informative to give an explanation of Cantor’s terminology, as well a sketch of Cantor’s relationship with religion and reli- gious figures. -
Sets - June 24 Chapter 1 - Sets and Functions
Math 300 - Introduction to Mathematical reasoning Summer 2013 Lecture 1: Sets - June 24 Chapter 1 - Sets and Functions Definition and Examples Sets are a \well-defined” collection of objects. We shall not say what we mean by \well-defined” in this course. At an introductory level, it suffices to think of a Set as a collection of objects. Some examples of sets are - • Collection of students taking Math 300, • Collection of all possible speeds that your car can attain, • Collection of all matrices with real entries (Math 308). Examples We mention some mathematical examples which we shall use throughout the course. Keep these examples in mind. • N - the set of natural numbers. Here, N = f1; 2; 3;:::; g • Z - the set of integers. Here, Z = f;:::; −3; −2; −1; 0; 1; 2; 3;:::; g • Q - the set of rational numbers. The set of rational numbers can described as fractions, where the numerator and denominator of the fraction are both integers and the denominator is not equal to zero. • R - the set of real numbers. • R+ - the set of positive real numbers. The objects of the set are called elements, members or points of the set. Usually a set is denoted by a capital letter. The elements of the set are denoted by lowercase letters. The symbol 2 denotes the phrase \belongs to". Let A be a set and let x be an element of the set A. The statement x 2 A should be read as x belongs to the set A. For example, the statement \1 2 N" should be read as \1 belongs to the 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 . -
Review of Set-Theoretic Notations and Terminology A.J
Math 347 Review of Set-theoretic Notations and Terminology A.J. Hildebrand Review of Set-theoretic Notations and Terminology • Sets: A set is an unordered collection of objects, called the elements of the set. The standard notation for a set is the brace notation f::: g, with the elements of the set listed inside the pair of braces. • Set builder notation: Notation of the form f::: : ::: g, where the colon (:) has the meaning of \such that", the dots to the left of the colon indicate the generic form of the element in the set and the dots to 2 the right of the colon denote any constraints on the element. E.g., fx 2 R : x < 4g stands for \the set of 2 all x 2 R such that x < 4"; this is the same as the interval (−2; 2). Other examples of this notation are f2k : k 2 Zg (set of all even integers), fx : x 2 A and x 2 Bg (intersection of A and B, A \ B). 2 Note: Instead of a colon (:), one can also use a vertical bar (j) as a separator; e.g., fx 2 R j x < 4g. Both notations are equally acceptable. • Equality of sets: Two sets are equal if they contain the same elements. E.g., the sets f3; 4; 7g, f4; 3; 7g, f3; 3; 4; 7g are all equal since they contain the same three elements, namely 3, 4, 7. • Some special sets: • Empty set: ; (or fg) • \Double bar" sets: 1 ∗ Natural numbers: N = f1; 2;::: g (note that 0 is not an element of N) ∗ Integers: Z = f:::; −2; −1; 0; 1; 2;::: g ∗ Rational numbers: Q = fp=q : p; q 2 Z; q 6= 0g ∗ Real numbers: R • Intervals: ∗ Open interval: (a; b) = fx 2 R : a < x < bg ∗ Closed interval: [a; b] = fx 2 R : a ≤ x ≤ bg ∗ Half-open interval: [a; b) = fx 2 R : a ≤ x < bg • Universe: U (\universe", a \superset" of which all sets under consideration are assumed to be a subset). -
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. -
MAPPING SETS and HYPERSETS INTO NUMBERS Introduction
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archivio istituzionale della ricerca - Università degli Studi di Udine MAPPING SETS AND HYPERSETS INTO NUMBERS GIOVANNA D'AGOSTINO, EUGENIO G. OMODEO, ALBERTO POLICRITI, AND ALEXANDRU I. TOMESCU Abstract. We introduce and prove the basic properties of encodings that generalize to non-well-founded hereditarily finite sets the bijection defined by Ackermann in 1937 between hereditarily finite sets and natural numbers. Key words: Computable set theory, non-well-founded sets, bisimulation, Acker- mann bijection. Introduction \Consider all the sets that can be obtained from by applying a finite number of times··· the operations of forming singletons and of; forming binary unions; the class of all sets thus obtained coincides with the class of what are called··· in set theory the hereditarily finite··· sets, or sets of finite rank. We readily see that we can establish a one-one correspondence between natural··· numbers and hereditarily··· finite sets". This passage of [TG87, p. 217] refers to a specific correspondence, whose remarkable properties were first established in Ackermann's article [Ack37]. Among other virtues, Ackermann's bijection enables one to retrieve the full structure of a hereditarily finite set from its numeric encoding by means of a most simple recursive routine deep-rooted in the binary representation of numbers. To be more specific about this, let us call i-th set the hereditarily finite set whose encoding is i; then it holds that the j-th set belongs to the i-th set if and only if the jth bit in the base-2 representation of i is 1. -
Set Theory in Computer Science a Gentle Introduction to Mathematical Modeling I
Set Theory in Computer Science A Gentle Introduction to Mathematical Modeling I Jose´ Meseguer University of Illinois at Urbana-Champaign Urbana, IL 61801, USA c Jose´ Meseguer, 2008–2010; all rights reserved. February 28, 2011 2 Contents 1 Motivation 7 2 Set Theory as an Axiomatic Theory 11 3 The Empty Set, Extensionality, and Separation 15 3.1 The Empty Set . 15 3.2 Extensionality . 15 3.3 The Failed Attempt of Comprehension . 16 3.4 Separation . 17 4 Pairing, Unions, Powersets, and Infinity 19 4.1 Pairing . 19 4.2 Unions . 21 4.3 Powersets . 24 4.4 Infinity . 26 5 Case Study: A Computable Model of Hereditarily Finite Sets 29 5.1 HF-Sets in Maude . 30 5.2 Terms, Equations, and Term Rewriting . 33 5.3 Confluence, Termination, and Sufficient Completeness . 36 5.4 A Computable Model of HF-Sets . 39 5.5 HF-Sets as a Universe for Finitary Mathematics . 43 5.6 HF-Sets with Atoms . 47 6 Relations, Functions, and Function Sets 51 6.1 Relations and Functions . 51 6.2 Formula, Assignment, and Lambda Notations . 52 6.3 Images . 54 6.4 Composing Relations and Functions . 56 6.5 Abstract Products and Disjoint Unions . 59 6.6 Relating Function Sets . 62 7 Simple and Primitive Recursion, and the Peano Axioms 65 7.1 Simple Recursion . 65 7.2 Primitive Recursion . 67 7.3 The Peano Axioms . 69 8 Case Study: The Peano Language 71 9 Binary Relations on a Set 73 9.1 Directed and Undirected Graphs . 73 9.2 Transition Systems and Automata . -
A Multiverse Perspective in Mathematics and Set Theory: Does Every Mathematical Statement Have a Definite Truth Value?
The universe view The multiverse view Dream Solution of CH is unattainable Further topics Multiverse Mathematics A multiverse perspective in mathematics and set theory: does every mathematical statement have a definite truth value? Joel David Hamkins The City University of New York Mathematics, Philosophy, Computer Science College of Staten Island of CUNY The CUNY Graduate Center Meta-Meta Workshop: Metamathematics and Metaphysics Fudan University, Shanghai June 15, 2013 Meta-Meta Workshop, Shanghai June 15, 2013 Joel David Hamkins, New York The universe view The multiverse view Dream Solution of CH is unattainable Further topics Multiverse Mathematics The theme The theme of this talk is the question: Does every mathematical problem have a definite answer? I shall be particularly interested in this question as it arises in the case of set theory: Does every set-theoretic assertion have a definite truth value? Meta-Meta Workshop, Shanghai June 15, 2013 Joel David Hamkins, New York The universe view The multiverse view Dream Solution of CH is unattainable Further topics Multiverse Mathematics Set theory as Ontological Foundation A traditional view in set theory is that it serves as an ontological foundation for the rest of mathematics, in the sense that other abstract mathematical objects can be construed fundamentally as sets. On this view, mathematical objects—functions, real numbers, spaces—are sets. Being precise in mathematics amounts to specifying an object in set theory. In this way, the set-theoretic universe becomes the realm of all mathematics. Having a common foundation was important for the unity of mathematics. A weaker position remains compatible with structuralism. -
Set Notation and Concepts
Appendix Set Notation and Concepts “In mathematics you don’t understand things. You just get used to them.” John von Neumann (1903–1957) This appendix is primarily a brief run-through of basic concepts from set theory, but it also in Sect. A.4 mentions set equations, which are not always covered when introducing set theory. A.1 Basic Concepts and Notation A set is a collection of items. You can write a set by listing its elements (the items it contains) inside curly braces. For example, the set that contains the numbers 1, 2 and 3 can be written as {1, 2, 3}. The order of elements do not matter in a set, so the same set can be written as {2, 1, 3}, {2, 3, 1} or using any permutation of the elements. The number of occurrences also does not matter, so we could also write the set as {2, 1, 2, 3, 1, 1} or in an infinity of other ways. All of these describe the same set. We will normally write sets without repetition, but the fact that repetitions do not matter is important to understand the operations on sets. We will typically use uppercase letters to denote sets and lowercase letters to denote elements in a set, so we could write M ={2, 1, 3} and x = 2 as an element of M. The empty set can be written either as an empty list of elements ({})orusing the special symbol ∅. The latter is more common in mathematical texts. A.1.1 Operations and Predicates We will often need to check if an element belongs to a set or select an element from a set. -
Warren Goldfarb, Notes on Metamathematics
Notes on Metamathematics Warren Goldfarb W.B. Pearson Professor of Modern Mathematics and Mathematical Logic Department of Philosophy Harvard University DRAFT: January 1, 2018 In Memory of Burton Dreben (1927{1999), whose spirited teaching on G¨odeliantopics provided the original inspiration for these Notes. Contents 1 Axiomatics 1 1.1 Formal languages . 1 1.2 Axioms and rules of inference . 5 1.3 Natural numbers: the successor function . 9 1.4 General notions . 13 1.5 Peano Arithmetic. 15 1.6 Basic laws of arithmetic . 18 2 G¨odel'sProof 23 2.1 G¨odelnumbering . 23 2.2 Primitive recursive functions and relations . 25 2.3 Arithmetization of syntax . 30 2.4 Numeralwise representability . 35 2.5 Proof of incompleteness . 37 2.6 `I am not derivable' . 40 3 Formalized Metamathematics 43 3.1 The Fixed Point Lemma . 43 3.2 G¨odel'sSecond Incompleteness Theorem . 47 3.3 The First Incompleteness Theorem Sharpened . 52 3.4 L¨ob'sTheorem . 55 4 Formalizing Primitive Recursion 59 4.1 ∆0,Σ1, and Π1 formulas . 59 4.2 Σ1-completeness and Σ1-soundness . 61 4.3 Proof of Representability . 63 3 5 Formalized Semantics 69 5.1 Tarski's Theorem . 69 5.2 Defining truth for LPA .......................... 72 5.3 Uses of the truth-definition . 74 5.4 Second-order Arithmetic . 76 5.5 Partial truth predicates . 79 5.6 Truth for other languages . 81 6 Computability 85 6.1 Computability . 85 6.2 Recursive and partial recursive functions . 87 6.3 The Normal Form Theorem and the Halting Problem . 91 6.4 Turing Machines . -
The Axiom of Choice Is Independent from the Partition Principle
Flow: the Axiom of Choice is independent from the Partition Principle Adonai S. Sant’Anna Ot´avio Bueno Marcio P. P. de Fran¸ca Renato Brodzinski For correspondence: [email protected] Abstract We introduce a general theory of functions called Flow. We prove ZF, non-well founded ZF and ZFC can be immersed within Flow as a natural consequence from our framework. The existence of strongly inaccessible cardinals is entailed from our axioms. And our first important application is the introduction of a model of Zermelo-Fraenkel set theory where the Partition Principle (PP) holds but not the Axiom of Choice (AC). So, Flow allows us to answer to the oldest open problem in set theory: if PP entails AC. This is a full preprint to stimulate criticisms before we submit a final version for publication in a peer-reviewed journal. 1 Introduction It is rather difficult to determine when functions were born, since mathematics itself changes along history. Specially nowadays we find different formal concepts associated to the label function. But an educated guess could point towards Sharaf al-D¯ınal-T¯us¯ıwho, in the 12th century, not only introduced a ‘dynamical’ concept which could be interpreted as some notion of function, but also studied arXiv:2010.03664v1 [math.LO] 7 Oct 2020 how to determine the maxima of such functions [11]. All usual mathematical approaches for physical theories are based on ei- ther differential equations or systems of differential equations whose solutions (when they exist) are either functions or classes of functions (see, e.g., [26]). In pure mathematics the situation is no different.