A PARTITION THEOREM for PAIRS of FINITE SETS a Branch Of
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Set Theory, by Thomas Jech, Academic Press, New York, 1978, Xii + 621 Pp., '$53.00
BOOK REVIEWS 775 BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 3, Number 1, July 1980 © 1980 American Mathematical Society 0002-9904/80/0000-0 319/$01.75 Set theory, by Thomas Jech, Academic Press, New York, 1978, xii + 621 pp., '$53.00. "General set theory is pretty trivial stuff really" (Halmos; see [H, p. vi]). At least, with the hindsight afforded by Cantor, Zermelo, and others, it is pretty trivial to do the following. First, write down a list of axioms about sets and membership, enunciating some "obviously true" set-theoretic principles; the most popular Hst today is called ZFC (the Zermelo-Fraenkel axioms with the axiom of Choice). Next, explain how, from ZFC, one may derive all of conventional mathematics, including the general theory of transfinite cardi nals and ordinals. This "trivial" part of set theory is well covered in standard texts, such as [E] or [H]. Jech's book is an introduction to the "nontrivial" part. Now, nontrivial set theory may be roughly divided into two general areas. The first area, classical set theory, is a direct outgrowth of Cantor's work. Cantor set down the basic properties of cardinal numbers. In particular, he showed that if K is a cardinal number, then 2", or exp(/c), is a cardinal strictly larger than K (if A is a set of size K, 2* is the cardinality of the family of all subsets of A). Now starting with a cardinal K, we may form larger cardinals exp(ic), exp2(ic) = exp(exp(fc)), exp3(ic) = exp(exp2(ic)), and in fact this may be continued through the transfinite to form expa(»c) for every ordinal number a. -
Order Types and Structure of Orders
ORDER TYPES AND STRUCTURE OF ORDERS BY ANDRE GLEYZALp) 1. Introduction. This paper is concerned with operations on order types or order properties a and the construction of order types related to a. The reference throughout is to simply or linearly ordered sets, and we shall speak of a as either property or type. Let a and ß be any two order types. An order A will be said to be of type aß if it is the sum of /3-orders (orders of type ß) over an a-order; i.e., if A permits of decomposition into nonoverlapping seg- ments each of order type ß, the segments themselves forming an order of type a. We have thus associated with every pair of order types a and ß the product order type aß. The definition of product for order types automatically associates with every order type a the order types aa = a2, aa2 = a3, ■ ■ ■ . We may further- more define, for all ordinals X, a Xth power of a, a\ and finally a limit order type a1. This order type has certain interesting properties. It has closure with respect to the product operation, for the sum of ar-orders over an a7-order is an a'-order, i.e., a'al = aI. For this reason we call a1 iterative. In general, we term an order type ß having the property that ßß = ß iterative, a1 has the following postulational identification: 1. a7 is a supertype of a; that is to say, all a-orders are a7-orders. 2. a1 is iterative. -
Handout from Today's Lecture
MA532 Lecture Timothy Kohl Boston University April 23, 2020 Timothy Kohl (Boston University) MA532 Lecture April 23, 2020 1 / 26 Cardinal Arithmetic Recall that one may define addition and multiplication of ordinals α = ot(A, A) β = ot(B, B ) α + β and α · β by constructing order relations on A ∪ B and B × A. For cardinal numbers the foundations are somewhat similar, but also somewhat simpler since one need not refer to orderings. Definition For sets A, B where |A| = α and |B| = β then α + β = |(A × {0}) ∪ (B × {1})|. Timothy Kohl (Boston University) MA532 Lecture April 23, 2020 2 / 26 The curious part of the definition is the two sets A × {0} and B × {1} which can be viewed as subsets of the direct product (A ∪ B) × {0, 1} which basically allows us to add |A| and |B|, in particular since, in the usual formula for the size of the union of two sets |A ∪ B| = |A| + |B| − |A ∩ B| which in this case is bypassed since, by construction, (A × {0}) ∩ (B × {1})= ∅ regardless of the nature of A ∩ B. Timothy Kohl (Boston University) MA532 Lecture April 23, 2020 3 / 26 Definition For sets A, B where |A| = α and |B| = β then α · β = |A × B|. One immediate consequence of these definitions is the following. Proposition If m, n are finite ordinals, then as cardinals one has |m| + |n| = |m + n|, (where the addition on the right is ordinal addition in ω) meaning that ordinal addition and cardinal addition agree. Proof. The simplest proof of this is to define a bijection f : (m × {0}) ∪ (n × {1}) → m + n by f (hr, 0i)= r for r ∈ m and f (hs, 1i)= m + s for s ∈ n. -
Convergence and Submeasures in Boolean Algebras
Converence and submeasures in Boolean algebras Thomas Jech e-mail: [email protected] October 8, 2018 In memory of Bohuslav Balcar Abstract A Boolean algebra carries a strictly positive exhaustive submeasure if and only if it has a sequential topology that is uniformly Fr´echet. 1 Introduction. In 1937, John von Neumann proposed the problem of characterizing the complete Boolean algebras that carry a strictly positive σ−additive measure (The Scottish Book [17], Problem 163.) Such algebras satisfy the countable chain condition (ccc): every subset of mutually disjoint elements is countable. In addition, von Neumann isolated a weak dis- tributive law and asked whether these two properties are sufficient for the existence of measure. arXiv:1705.01019v1 [math.LO] 2 May 2017 The first major contribution to von Neumann’s problem was given by Dorothy Maharam [16] who identified a part of the problem as a topological problem. She showed that a complete Boolean algebra carries a strictly positive continuous submeasure if and only if the sequential topology given by the algebraic convergence is metrizable. This gives a natural decomposition of the von Neumann problem into two parts: I. Does every complete weakly distributive ccc Boolean algebra carry a strictly positive continuous submeasure? 1 II. Does the existence of a strictly positive continuous submeasure imply the existence of a strictly positive σ−additive measure? Part II has become the well known and well-studied Control Mea- sure Problem [12] in Functional Analysis and remained open until Talagrand’s solution [22] in 2008. As for Part I, Maharam showed that a negative answer would follow from the existence of a Suslin algebra. -
The Axiom of Choice and Its Implications
THE AXIOM OF CHOICE AND ITS IMPLICATIONS KEVIN BARNUM Abstract. In this paper we will look at the Axiom of Choice and some of the various implications it has. These implications include a number of equivalent statements, and also some less accepted ideas. The proofs discussed will give us an idea of why the Axiom of Choice is so powerful, but also so controversial. Contents 1. Introduction 1 2. The Axiom of Choice and Its Equivalents 1 2.1. The Axiom of Choice and its Well-known Equivalents 1 2.2. Some Other Less Well-known Equivalents of the Axiom of Choice 3 3. Applications of the Axiom of Choice 5 3.1. Equivalence Between The Axiom of Choice and the Claim that Every Vector Space has a Basis 5 3.2. Some More Applications of the Axiom of Choice 6 4. Controversial Results 10 Acknowledgments 11 References 11 1. Introduction The Axiom of Choice states that for any family of nonempty disjoint sets, there exists a set that consists of exactly one element from each element of the family. It seems strange at first that such an innocuous sounding idea can be so powerful and controversial, but it certainly is both. To understand why, we will start by looking at some statements that are equivalent to the axiom of choice. Many of these equivalences are very useful, and we devote much time to one, namely, that every vector space has a basis. We go on from there to see a few more applications of the Axiom of Choice and its equivalents, and finish by looking at some of the reasons why the Axiom of Choice is so controversial. -
Ineffability Within the Limits of Abstraction Alone
Ineffability within the Limits of Abstraction Alone Stewart Shapiro and Gabriel Uzquiano 1 Abstraction and iteration The purpose of this article is to assess the prospects for a Scottish neo-logicist foundation for a set theory. The gold standard would be a theory as rich and useful as the dominant one, ZFC, Zermelo-Fraenkel set theory with choice, perhaps aug- mented with large cardinal principles. Although the present paper is self-contained, we draw upon recent work in [32] in which we explore the power of a reasonably pure principle of reflection. To establish terminology, the Scottish neo-logicist program is to develop branches of mathematics using abstraction principles in the form: xα = xβ $ α ∼ β where the variables α and β range over items of a certain sort, x is an operator taking items of this sort to objects, and ∼ is an equivalence relation on this sort of item. The standard exemplar, of course, is Hume’s principle: #F = #G ≡ F ≈ G where, as usual, F ≈ G is an abbreviation of the second-order statement that there is a one-one correspondence from F onto G. Hume’s principle, is the main support for what is regarded as a success-story for the Scottish neo-logicist program, at least by its advocates. The search is on to develop more powerful mathematical theories on a similar basis. As witnessed by this volume and a significant portion of the contemporary liter- ature in the philosophy of mathematics, Scottish neo-logicism remains controver- sial, even for arithmetic. There are, for example, issues of Caesar and Bad Com- pany to deal with. -
The Equivalents of Axiom of Choice
The Equivalents of Axiom of Choice 1. Axiom of Choice. The Cartesian product of a nonempty family of nonempty sets is nonempty. 2. Choice Function for Subsets. Let X be a nonempty set. Then for each nonempty subset S Í X it is possible to choose some element s Î S. That is, there exists a function f which assigns to each nonempty set S Í X some representative element f(S) Î S. 3. Set of Representatives. Let {Xl : l Î L} be a nonempty set of nonempty sets which are pairwise disjoint. Then there exists a set C containing exactly one element from each Xl. 4. Nonempty Products. If {Xl : l Î L} is a nonempty set of nonempty sets, then the Cartesian product Õ Xl is nonempty. That is, there exists a lÎL function f : L ® U Xl satisfying f(l) Î Xl for each l. lÎL 5. Well-Ordering Principle (Zermelo). Every set can be well ordered. 6. Finite Character Principle (Tukey, Teichmuller). Let X be a set, and let F be a collection of subsets of X. Suppose that F has finite character (i.e., a set is a member of F if and only if each finite subset of that set is a member of F). Then any member of F is a subset of some Í-maximal member of F. 7. Maximal Chain Principle (Hausdorff). Let (X, p_) be a partially ordered set. Then any p_-chain in X is included in a Í-maximal p_-chain. 8. Zorn’s Lemma (Hausdorff, Kuratowski, Zorn, others). -
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. -
Types for Describing Coordinated Data Structures
Types for Describing Coordinated Data Structures Michael F. Ringenburg∗ Dan Grossman [email protected] [email protected] Dept. of Computer Science & Engineering University of Washington, Seattle, WA 98195 ABSTRACT the n-th function). This section motivates why such invari- Coordinated data structures are sets of (perhaps unbounded) ants are important, explores why the scope of type variables data structures where the nodes of each structure may share makes the problem appear daunting, and previews the rest abstract types with the corresponding nodes of the other of the paper. structures. For example, consider a list of arguments, and 1.1 Low-Level Type Systems a separate list of functions, where the n-th function of the Recent years have witnessed substantial work on powerful second list should be applied only to the n-th argument of type systems for safe, low-level languages. Standard moti- the first list. We can guarantee that this invariant is obeyed vation for such systems includes compiler debugging (gener- by coordinating the two lists, such that the type of the n-th ated code that does not type check implies a compiler error), argument is existentially quantified and identical to the ar- proof-carrying code (the type system encodes a safety prop- gument type of the n-th function. In this paper, we describe erty that the type-checker verifies), automated optimization a minimal set of features sufficient for a type system to sup- (an optimizer can exploit the type information), and manual port coordinated data structures. We also demonstrate that optimization (humans can use idioms unavailable in higher- two known type systems (Crary and Weirich’s LX [6] and level languages without sacrificing safety). -
Axioms of Set Theory and Equivalents of Axiom of Choice Farighon Abdul Rahim Boise State University, [email protected]
Boise State University ScholarWorks Mathematics Undergraduate Theses Department of Mathematics 5-2014 Axioms of Set Theory and Equivalents of Axiom of Choice Farighon Abdul Rahim Boise State University, [email protected] Follow this and additional works at: http://scholarworks.boisestate.edu/ math_undergraduate_theses Part of the Set Theory Commons Recommended Citation Rahim, Farighon Abdul, "Axioms of Set Theory and Equivalents of Axiom of Choice" (2014). Mathematics Undergraduate Theses. Paper 1. Axioms of Set Theory and Equivalents of Axiom of Choice Farighon Abdul Rahim Advisor: Samuel Coskey Boise State University May 2014 1 Introduction Sets are all around us. A bag of potato chips, for instance, is a set containing certain number of individual chip’s that are its elements. University is another example of a set with students as its elements. By elements, we mean members. But sets should not be confused as to what they really are. A daughter of a blacksmith is an element of a set that contains her mother, father, and her siblings. Then this set is an element of a set that contains all the other families that live in the nearby town. So a set itself can be an element of a bigger set. In mathematics, axiom is defined to be a rule or a statement that is accepted to be true regardless of having to prove it. In a sense, axioms are self evident. In set theory, we deal with sets. Each time we state an axiom, we will do so by considering sets. Example of the set containing the blacksmith family might make it seem as if sets are finite. -
Dimensional Functions Over Partially Ordered Sets
Intro Dimensional functions over posets Application I Application II Dimensional functions over partially ordered sets V.N.Remeslennikov, E. Frenkel May 30, 2013 1 / 38 Intro Dimensional functions over posets Application I Application II Plan The notion of a dimensional function over a partially ordered set was introduced by V. N. Remeslennikov in 2012. Outline of the talk: Part I. Definition and fundamental results on dimensional functions, (based on the paper of V. N. Remeslennikov and A. N. Rybalov “Dimensional functions over posets”); Part II. 1st application: Definition of dimension for arbitrary algebraic systems; Part III. 2nd application: Definition of dimension for regular subsets of free groups (L. Frenkel and V. N. Remeslennikov “Dimensional functions for regular subsets of free groups”, work in progress). 2 / 38 Intro Dimensional functions over posets Application I Application II Partially ordered sets Definition A partial order is a binary relation ≤ over a set M such that ∀a ∈ M a ≤ a (reflexivity); ∀a, b ∈ M a ≤ b and b ≤ a implies a = b (antisymmetry); ∀a, b, c ∈ M a ≤ b and b ≤ c implies a ≤ c (transitivity). Definition A set M with a partial order is called a partially ordered set (poset). 3 / 38 Intro Dimensional functions over posets Application I Application II Linearly ordered abelian groups Definition A set A equipped with addition + and a linear order ≤ is called linearly ordered abelian group if 1. A, + is an abelian group; 2. A, ≤ is a linearly ordered set; 3. ∀a, b, c ∈ A a ≤ b implies a + c ≤ b + c. Definition The semigroup A+ of all nonnegative elements of A is defined by A+ = {a ∈ A | 0 ≤ a}. -
Generic Haskell: Applications
Generic Haskell: applications Ralf Hinze1 and Johan Jeuring2,3 1 Institut f¨urInformatik III, Universit¨atBonn R¨omerstraße 164, 53117 Bonn, Germany [email protected] http://www.informatik.uni-bonn.de/~ralf/ 2 Institute of Information and Computing Sciences, Utrecht University P.O.Box 80.089, 3508 TB Utrecht, The Netherlands [email protected] http://www.cs.uu.nl/~johanj/ 3 Open University, Heerlen, The Netherlands Abstract. 1 Generic Haskell is an extension of Haskell that supports the construc- tion of generic programs. This article describes generic programming in practice. It discusses three advanced generic programming applications: generic dictionaries, compressing XML documents, and the zipper. When describing and implementing these examples, we will encounter some advanced features of Generic Haskell, such as type-indexed data types, dependencies between and generic abstractions of generic functions, ad- justing a generic function using a default case, and generic functions with a special case for a particular constructor. 1 Introduction A polytypic (or generic, type-indexed) function is a function that can be instan- tiated on many data types to obtain data type specific functionality. Examples of polytypic functions are the functions that can be derived in Haskell [50], such as show, read, and ‘ ’. In [23] we have introduced type-indexed functions, and we have shown how to implement them in Generic Haskell [7]. For an older introduction to generic programming, see Backhouse et al [4]. Why is generic programming important? Generic programming makes pro- grams easier to write: – Programs that could only be written in an untyped style can now be written in a language with types.