1 Basic Notions and Constructions
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
2.1 the Algebra of Sets
Chapter 2 I Abstract Algebra 83 part of abstract algebra, sets are fundamental to all areas of mathematics and we need to establish a precise language for sets. We also explore operations on sets and relations between sets, developing an “algebra of sets” that strongly resembles aspects of the algebra of sentential logic. In addition, as we discussed in chapter 1, a fundamental goal in mathematics is crafting articulate, thorough, convincing, and insightful arguments for the truth of mathematical statements. We continue the development of theorem-proving and proof-writing skills in the context of basic set theory. After exploring the algebra of sets, we study two number systems denoted Zn and U(n) that are closely related to the integers. Our approach is based on a widely used strategy of mathematicians: we work with specific examples and look for general patterns. This study leads to the definition of modified addition and multiplication operations on certain finite subsets of the integers. We isolate key axioms, or properties, that are satisfied by these and many other number systems and then examine number systems that share the “group” properties of the integers. Finally, we consider an application of this mathematics to check digit schemes, which have become increasingly important for the success of business and telecommunications in our technologically based society. Through the study of these topics, we engage in a thorough introduction to abstract algebra from the perspective of the mathematician— working with specific examples to identify key abstract properties common to diverse and interesting mathematical systems. 2.1 The Algebra of Sets Intuitively, a set is a “collection” of objects known as “elements.” But in the early 1900’s, a radical transformation occurred in mathematicians’ understanding of sets when the British philosopher Bertrand Russell identified a fundamental paradox inherent in this intuitive notion of a set (this paradox is discussed in exercises 66–70 at the end of this section). -
Dynamic Algebras: Examples, Constructions, Applications
Dynamic Algebras: Examples, Constructions, Applications Vaughan Pratt∗ Dept. of Computer Science, Stanford, CA 94305 Abstract Dynamic algebras combine the classes of Boolean (B ∨ 0 0) and regu- lar (R ∪ ; ∗) algebras into a single finitely axiomatized variety (BR 3) resembling an R-module with “scalar” multiplication 3. The basic result is that ∗ is reflexive transitive closure, contrary to the intuition that this concept should require quantifiers for its definition. Using this result we give several examples of dynamic algebras arising naturally in connection with additive functions, binary relations, state trajectories, languages, and flowcharts. The main result is that free dynamic algebras are residu- ally finite (i.e. factor as a subdirect product of finite dynamic algebras), important because finite separable dynamic algebras are isomorphic to Kripke structures. Applications include a new completeness proof for the Segerberg axiomatization of propositional dynamic logic, and yet another notion of regular algebra. Key words: Dynamic algebra, logic, program verification, regular algebra. This paper originally appeared as Technical Memo #138, Laboratory for Computer Science, MIT, July 1979, and was subsequently revised, shortened, retitled, and published as [Pra80b]. After more than a decade of armtwisting I. N´emeti and H. Andr´eka finally persuaded the author to publish TM#138 itself on the ground that it contained a substantial body of interesting material that for the sake of brevity had been deleted from the STOC-80 version. The principal changes here to TM#138 are the addition of footnotes and the sections at the end on retrospective citations and reflections. ∗This research was supported by the National Science Foundation under NSF grant no. -
An Elementary Approach to Boolean Algebra
Eastern Illinois University The Keep Plan B Papers Student Theses & Publications 6-1-1961 An Elementary Approach to Boolean Algebra Ruth Queary Follow this and additional works at: https://thekeep.eiu.edu/plan_b Recommended Citation Queary, Ruth, "An Elementary Approach to Boolean Algebra" (1961). Plan B Papers. 142. https://thekeep.eiu.edu/plan_b/142 This Dissertation/Thesis is brought to you for free and open access by the Student Theses & Publications at The Keep. It has been accepted for inclusion in Plan B Papers by an authorized administrator of The Keep. For more information, please contact [email protected]. r AN ELEr.:ENTARY APPRCACH TC BCCLF.AN ALGEBRA RUTH QUEAHY L _J AN ELE1~1ENTARY APPRCACH TC BC CLEAN ALGEBRA Submitted to the I<:athematics Department of EASTERN ILLINCIS UNIVERSITY as partial fulfillment for the degree of !•:ASTER CF SCIENCE IN EJUCATION. Date :---"'f~~-----/_,_ffo--..i.-/ _ RUTH QUEARY JUNE 1961 PURPOSE AND PLAN The purpose of this paper is to provide an elementary approach to Boolean algebra. It is designed to give an idea of what is meant by a Boclean algebra and to supply the necessary background material. The only prerequisite for this unit is one year of high school algebra and an open mind so that new concepts will be considered reason able even though they nay conflict with preconceived ideas. A mathematical science when put in final form consists of a set of undefined terms and unproved propositions called postulates, in terrrs of which all other concepts are defined, and from which all other propositions are proved. -
On Families of Mutually Exclusive Sets
ANNALS OF MATHEMATICS Vol. 44, No . 2, April, 1943 ON FAMILIES OF MUTUALLY EXCLUSIVE SETS BY P . ERDÖS AND A. TARSKI (Received August 11, 1942) In this paper we shall be concerned with a certain particular problem from the general theory of sets, namely with the problem of the existence of families of mutually exclusive sets with a maximal power . It will turn out-in a rather unexpected way that the solution of these problems essentially involves the notion of the so-called "inaccessible numbers ." In this connection we shall make some general remarks regarding inaccessible numbers in the last section of our paper . §1. FORMULATION OF THE PROBLEM . TERMINOLOGY' The problem in which we are interested can be stated as follows : Is it true that every field F of sets contains a family of mutually exclusive sets with a maximal power, i .e . a family O whose cardinal number is not smaller than the cardinal number of any other family of mutually exclusive sets contained in F . By a field of sets we understand here as usual a family F of sets which to- gether with every two sets X and Y contains also their union X U Y and their difference X - Y (i.e. the set of those elements of X which do not belong to Y) among its elements . A family O is called a family of mutually exclusive sets if no set X of X of O is empty and if any two different sets of O have an empty inter- section. A similar problem can be formulated for other families e .g . -
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. -
The Structure and Ontology of Logical Space June 1983
WORLDS AND PROPOSITIONS: The Structure and Ontology of Logical Space Phillip Bricker A DISSERTATION PRESENTED TO THE FACULTY OF PRINCETON UNIVERSITY IN CANDIDACY FOR THE DEGREE OF DOCTOR OF PH I LOSOPHY RECOMMENDED FOR ACCEPTANCE BY THE DEPARTMENT OF PHILOSOPHY June 1983 © 1983 Phillip Bricker ALL RIGHTS RESERVED ACKNOWLEDGMENTS I acknowledge with pleasure an enormous intellectual debt to my thesis adviser, David Lewis, both for his extensive and invaluable comments on various drafts of this work, and, more generally, for teaching me so much of what I know about matters philosophical. CONTENTS Introduction. 3 Section 1: Propositions and Boolean Algebra. 10 First Thesis. 10 First Reformulation: The Laws of Propositional Logic. 15 Second Reformulation: The Lindenbaum-Tarski Algebra. 21 Objections to the First Thesis. 28 Second Thesis. 33 Objections to the Second Thesis. 3& section 2: Logical Space. 38 Logical Space as a Field of Sets. 38 Alternative Conceptions of Logical Space. 44 section 3: Maximal Consistent Sets of Propositions. 48 Third Thesis. 48 Atomic Propositions. 52 Finite Consistency. 55 Objections to the Third Thesis. 59 section 4: Separating Worlds by Propositions. 68 Fourth Thesis. 68 Indiscernibility Principles. 71 Objections to the Fourth Thesis. 74 Section 5: Consistency and Realizability. 78 Fifth Thesis. 78 The Compact Theory. 82 The Mathematical Objection. 91 The Modal Objection. 105 Section 6: Proposition-Based Theories. 117 Tripartite Correspondence. 117 Weak and Feeble Proposition-Based Theories. 123 Adams's World-Story Theory. 131 Section 7: The World-Based Theory. 138 Isomorphic Algebras. 138 Stalnaker on Adams. 148 Section 8: Reducing possible Worlds to Language. 156 Introduction. -
Distributivity in Boolean Algebras
Pacific Journal of Mathematics DISTRIBUTIVITY IN BOOLEAN ALGEBRAS RICHARD SCOTT PIERCE Vol. 7, No. 1 January 1957 DISTRIBUTIVITY IN BOOLEAN ALGEBRAS R. S. PIERCE 1. Introduction. Let a be an infinite cardinal number; suppose i? is an α-complete Boolean algebra, that is, every subset of B which con- tains no more than a elements has a least upper bound in B. 1 DEFINITION 1.1. B is a-distributive if the following identity holds in B whenever S and T are index sets of cardinality <: a : Λ σe*( VreiΌ - V,6,(Λσ€A,(σ)) , WhβΓβ F= T This paper studies ^-distributive Boolean algebras, their Boolean spaces and the continuous functions on these Boolean spaces. A survey of the main results can be obtained by reading Theorems 6.5, 7.1, 8.1 and 8.2. 2* Notation. Throughout the paper, a denotes a fixed infinite cardinal number. The term α-B.A. is used to abbreviate α-complete Boolean algebra. Only α-complete algebras are considered, although some of the definitions apply to arbitrary Boolean algebras. We speak of Λ-subalgebras, αsideals, α-homomorphisms, α-fields, etc., meaning that the relevant operations enjoy closure up to the power a. For example, an α-field is a field of sets, closed under α-unions, that is, unions of a or fewer element. The lattice operations of join, meet and complement are designated by \/f /\ and (') respectively. The symbols 0 and u stand for the zero and unit elements of a Boolean algebra. Set operations are represented by rounded symbols: \J, Γ\ and gj respectively denote union, inter- section and inclusion. -
Topics in Discrete Mathematics
TOPICS IN DISCRETE MATHEMATICS A.F. Pixley Harvey Mudd College July 21, 2010 ii Contents Preface v 1 Combinatorics 1 1.1 Introduction . 1 1.2 The Pigeonhole Principle . 2 1.3 Ramsey's Theorem . 7 1.4 Counting Strategies . 15 1.5 Permutations and combinations . 19 1.6 Permutations and combinations with repetitions . 28 1.7 The binomial coefficients . 38 1.8 The principle of inclusion and exclusion . 45 2 The Integers 53 2.1 Divisibility and Primes . 53 2.2 GCD and LCM . 58 2.3 The Division Algorithm and the Euclidean Algorithm . 62 2.4 Modules . 67 2.5 Counting; Euler's φ-function . 69 2.6 Congruences . 73 2.7 Classical theorems about congruences . 79 2.8 The complexity of arithmetical computation . 85 3 The Discrete Calculus 93 3.1 The calculus of finite differences . 93 3.2 The summation calculus . 102 3.3 Difference Equations . 108 3.4 Application: the complexity of the Euclidean algorithm . 114 4 Order and Algebra 117 4.1 Ordered sets and lattices . 117 4.2 Isomorphism and duality . 119 4.3 Lattices as algebras . 122 4.4 Modular and distributive lattices . 125 iii iv CONTENTS 4.5 Boolean algebras . 132 4.6 The representation of Boolean algebras . 137 5 Finite State Machines 145 5.1 Machines-introduction . 145 5.2 Semigroups and monoids . 146 5.3 Machines - formal theory . 148 5.4 The theorems of Myhill and Nerode . 152 6 Appendix: Induction 161 v Preface This text is intended as an introduction to a selection of topics in discrete mathemat- ics. -
Sets, Functions, Relations
Mathematics for Computer Scientists Lecture notes for the module G51MCS Venanzio Capretta University of Nottingham School of Computer Science Chapter 4 Sets, Functions and Relations 4.1 Sets Sets are such a basic notion in mathematics that the only way to ‘define’ them is by synonyms like collection, class, grouping and so on. A set is completely characterised by the elements it contains. There are two main ways of defining a set: (1) by explicitly listing all its elements or (2) by giving a property that all elements must satisfy. Here is a couple of examples, the first is a set of fruits given by listing its elements, the second is a set of natural numbers given by specifying a property: A = {apple, banana, cherry, peach} E = {n ∈ N | 2 divides n} The definition of E can be read: E is the set of those natural numbers that are divisible by 2, that is, it’s the set of all even naturals. The first definition method can be used only if the set has a finite number of elements. In some cases both methods can be used to define the same set, as in this example: 2 {n ∈ N | n is odd ∧ n + n ≤ 100} = {1, 3, 5, 7, 9} To say that a certain object x is an element of a set S, we write x ∈ S. To say that it isn’t an element of S we write x 6∈ S. For example: apple ∈ A 7 6∈ E strawberry 6∈ A 8 ∈ E If every element of a set X is also an element of another set Y , then we say that X is a subset of Y and we write this symbolically as X ⊆ Y . -
The Logic of Comparative Cardinality
The Logic of Comparative Cardinality Yifeng Ding (voidprove.com) Joint work with Matthew Harrison-Trainer and Wesley Holliday Aug. 7, 2018 @ BLAST 2018 UC Berkeley Group of Logic and the Methodology of Science Introduction • The equational theory of Boolean algebras is also the equational theory of fields of sets, if we only care about Boolean operations. • But more information can be extracted from a field of sets. • We compare their sizes. A field of sets Definition A field of sets (X ; F) is a pair where 1. X is a set and F ⊆ }(X ); 2. F is closed under intersection and complementation. 1 • But more information can be extracted from a field of sets. • We compare their sizes. A field of sets Definition A field of sets (X ; F) is a pair where 1. X is a set and F ⊆ }(X ); 2. F is closed under intersection and complementation. • The equational theory of Boolean algebras is also the equational theory of fields of sets, if we only care about Boolean operations. 1 • We compare their sizes. A field of sets Definition A field of sets (X ; F) is a pair where 1. X is a set and F ⊆ }(X ); 2. F is closed under intersection and complementation. • The equational theory of Boolean algebras is also the equational theory of fields of sets, if we only care about Boolean operations. • But more information can be extracted from a field of sets. 1 A field of sets Definition A field of sets (X ; F) is a pair where 1. X is a set and F ⊆ }(X ); 2. -
Set Theory Background for Probability Defining Sets (A Very Naïve Approach)
Set theory background for probability Defining sets (a very naïve approach) A set is a collection of distinct objects. The objects within a set may be arbitrary, with the order of objects within them having no significance. Here are several examples, demonstrating the above properties: 2,3,5,7,11,13,17,19 (the set of all prime numbers smaller than 20) , , , , , ,′′ The brackets … surround the objects that belong to a certain set. Objects are separated by commas. Note that: 1,2,3 1,3,2 (there is no ordering of objects within a set) 1,2,3,3 1,2,3 (sets contain one copy of each distinct object) Working with sets 1. Membership If an object is a member of a set we write: ∈. If an object is not a member of a set we write: ∉. 2. Subsets Assume that we have a set and another set , such that every element in is also a member of . Then we can write: ⊆. We say that is a subset of . Formally, we can write: ∀∈∈ (any that is a member of is a member of ) No need to worry: we will usually not encounter this formal logic notation. Notice that the sets of , may actually be equal. If they are not, there must be some member of that is not a member of . In this case we can write: ⊂ i.e. is a true subset of , or in logic notation: ∀ ∈ ∈ ∧∃∈∈ (any that is in is in AND there exists a in that is not in ). 3. Set equality Sets , are equal if and only if ⊆ and ⊆. -
Measures in Boolean Algebras
MEASURES IN BOOLEAN ALGEBRAS BY ALFRED HORN AND ALFRED TARSKI Introduction. By a measure on a Boolean algebra we understand as usual a function defined over all elements of the algebra, assuming finite non-nega- tive real numbers as values (but not identically vanishing), and satisfying the condition of finite additivity: the function value at a sum of two disjoint elements equals the sum of the function values at these elements. By includ- ing in this definition some additional conditions we arrive at special kinds of measures: two-valued measures, strictly positive measures, and countably addi- tive measures. In §1 we concern ourselves with the general notion of measure; we show how a measure—and in particular a two-valued measure—defined on a sub- algebra of a given Boolean algebra, or even on an arbitrary subset of the algebra, can be extended to the whole algebra. In §§2 and 3 we consider spe- cial kinds of measures, in fact, strictly positive and countably additive meas- ures, and we establish several partial criteria (necessary or sufficient condi- tions) for their existence. Some of the results stated in this paper can be ob- tained in a roundabout way from what is to be found in the literature, but they will be provided here with rather simple and direct proofs, without applying notions not involved in the formulation of the results. Terminology and symbolism^). Given any two sets A and B, we denote their union (or sum) by A\JB, their intersection (or product) by AC\B, their difference by A —B.