Products of Sets: Ordered and Unordered
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On Properties of Families of Sets Lecture 2
On properties of families of sets Lecture 2 Lajos Soukup Alfréd Rényi Institute of Mathematics Hungarian Academy of Sciences http://www.renyi.hu/∼soukup 7th Young Set Theory Workshop Recapitulation Recapitulation Definition: A family A⊂P(X) has property B iff χ(A)= 2, where the chromatic number of A is defined as follows: χ(A)=min{λ | ∃f : X → λ ∀A ∈ A |f [A]|≥ 2}. Recapitulation Definition: A family A⊂P(X) has property B iff χ(A)= 2, where the chromatic number of A is defined as follows: χ(A)=min{λ | ∃f : X → λ ∀A ∈ A |f [A]|≥ 2}. Theorem (E. W. Miller, 1937) ω There is an almost disjoint A⊂ ω with χ(A)= ω. Recapitulation Definition: A family A⊂P(X) has property B iff χ(A)= 2, where the chromatic number of A is defined as follows: χ(A)=min{λ | ∃f : X → λ ∀A ∈ A |f [A]|≥ 2}. Theorem (E. W. Miller, 1937) ω There is an almost disjoint A⊂ ω with χ(A)= ω. Theorem (Gy. Elekes, Gy Hoffman, 1973) ω For all infinite cardinal κ there is an almost disjoint A⊂ X with χ(A) ≥ κ. Recapitulation Definition: A family A⊂P(X) has property B iff χ(A)= 2, where the chromatic number of A is defined as follows: χ(A)=min{λ | ∃f : X → λ ∀A ∈ A |f [A]|≥ 2}. Theorem (E. W. Miller, 1937) ω There is an almost disjoint A⊂ ω with χ(A)= ω. Theorem (Gy. Elekes, Gy Hoffman, 1973) ω For all infinite cardinal κ there is an almost disjoint A⊂ X with χ(A) ≥ κ. -
Some Intersection Theorems for Ordered Sets and Graphs
IOURNAL OF COMBINATORIAL THEORY, Series A 43, 23-37 (1986) Some Intersection Theorems for Ordered Sets and Graphs F. R. K. CHUNG* AND R. L. GRAHAM AT&T Bell Laboratories, Murray Hill, New Jersey 07974 and *Bell Communications Research, Morristown, New Jersey P. FRANKL C.N.R.S., Paris, France AND J. B. SHEARER' Universify of California, Berkeley, California Communicated by the Managing Editors Received May 22, 1984 A classical topic in combinatorics is the study of problems of the following type: What are the maximum families F of subsets of a finite set with the property that the intersection of any two sets in the family satisfies some specified condition? Typical restrictions on the intersections F n F of any F and F’ in F are: (i) FnF’# 0, where all FEF have k elements (Erdos, Ko, and Rado (1961)). (ii) IFn F’I > j (Katona (1964)). In this paper, we consider the following general question: For a given family B of subsets of [n] = { 1, 2,..., n}, what is the largest family F of subsets of [n] satsifying F,F’EF-FnFzB for some BE B. Of particular interest are those B for which the maximum families consist of so- called “kernel systems,” i.e., the family of all supersets of some fixed set in B. For example, we show that the set of all (cyclic) translates of a block of consecutive integers in [n] is such a family. It turns out rather unexpectedly that many of the results we obtain here depend strongly on properties of the well-known entropy function (from information theory). -
Self-Organizing Tuple Reconstruction in Column-Stores
Self-organizing Tuple Reconstruction in Column-stores Stratos Idreos Martin L. Kersten Stefan Manegold CWI Amsterdam CWI Amsterdam CWI Amsterdam The Netherlands The Netherlands The Netherlands [email protected] [email protected] [email protected] ABSTRACT 1. INTRODUCTION Column-stores gained popularity as a promising physical de- A prime feature of column-stores is to provide improved sign alternative. Each attribute of a relation is physically performance over row-stores in the case that workloads re- stored as a separate column allowing queries to load only quire only a few attributes of wide tables at a time. Each the required attributes. The overhead incurred is on-the-fly relation R is physically stored as a set of columns; one col- tuple reconstruction for multi-attribute queries. Each tu- umn for each attribute of R. This way, a query needs to load ple reconstruction is a join of two columns based on tuple only the required attributes from each relevant relation. IDs, making it a significant cost component. The ultimate This happens at the expense of requiring explicit (partial) physical design is to have multiple presorted copies of each tuple reconstruction in case multiple attributes are required. base table such that tuples are already appropriately orga- Each tuple reconstruction is a join between two columns nized in multiple different orders across the various columns. based on tuple IDs/positions and becomes a significant cost This requires the ability to predict the workload, idle time component in column-stores especially for multi-attribute to prepare, and infrequent updates. queries [2, 6, 10]. -
On Free Products of N-Tuple Semigroups
n-tuple semigroups Anatolii Zhuchok Luhansk Taras Shevchenko National University Starobilsk, Ukraine E-mail: [email protected] Anatolii Zhuchok Plan 1. Introduction 2. Examples of n-tuple semigroups and the independence of axioms 3. Free n-tuple semigroups 4. Free products of n-tuple semigroups 5. References Anatolii Zhuchok 1. Introduction The notion of an n-tuple algebra of associative type was introduced in [1] in connection with an attempt to obtain an analogue of the Chevalley construction for modular Lie algebras of Cartan type. This notion is based on the notion of an n-tuple semigroup. Recall that a nonempty set G is called an n-tuple semigroup [1], if it is endowed with n binary operations, denoted by 1 ; 2 ; :::; n , which satisfy the following axioms: (x r y) s z = x r (y s z) for any x; y; z 2 G and r; s 2 f1; 2; :::; ng. The class of all n-tuple semigroups is rather wide and contains, in particular, the class of all semigroups, the class of all commutative trioids (see, for example, [2, 3]) and the class of all commutative dimonoids (see, for example, [4, 5]). Anatolii Zhuchok 2-tuple semigroups, causing the greatest interest from the point of view of applications, occupy a special place among n-tuple semigroups. So, 2-tuple semigroups are closely connected with the notion of an interassociative semigroup (see, for example, [6, 7]). Moreover, 2-tuple semigroups, satisfying some additional identities, form so-called restrictive bisemigroups, considered earlier in the works of B. M. Schein (see, for example, [8, 9]). -
Families of Sets and Extended Operations Families of Sets
Families of Sets and Extended Operations Families of Sets When dealing with sets whose elements are themselves sets it is fairly common practice to refer to them as families of sets, however this is not a definition. In fact, technically, a family of sets need not be a set, because we allow repeated elements, so a family is a multiset. However, we do require that when repeated elements appear they are distinguishable. F = {A , A , A , A } with A = {a,b,c}, A ={a}, A = {a,d} and 1 2 3 4 1 2 3 A = {a} is a family of sets. 4 Extended Union and Intersection Let F be a family of sets. Then we define: The union over F by: ∪ A={x :∃ A∈F x∈A}= {x :∃ A A∈F∧x∈A} A∈F and the intersection over F by: ∩ A = {x :∀ A∈F x∈A}= {x :∀ A A∈F ⇒ x∈A}. A∈F For example, with F = {A , A , A , A } where A = {a,b,c}, 1 2 3 4 1 A ={a}, A = {a,d} and A = {a} we have: 2 3 4 ∪ A = {a ,b , c , d } and ∩ A = {a}. A∈F A∈F Theorem 2.8 For each set B in a family F of sets, a) ∩ A ⊆ B A∈F b) B ⊆ ∪ A. A∈F Pf: a) Suppose x ∈ ∩ A, then ∀A ∈ F, x ∈ A. Since B ∈ F, we have x ∈ B. Thus, ∩ A ⊆ B. b) Now suppose y ∈ B. Since B ∈ F, y ∈ ∪ A. Thus, B ⊆ ∪ A. Caveat Care must be taken with the empty family F, i.e., the family containing no sets. -
Enumeration of Finite Automata 1 Z(A) = 1
INFOI~MATION AND CONTROL 10, 499-508 (1967) Enumeration of Finite Automata 1 FRANK HARARY AND ED PALMER Department of Mathematics, University of Michigan, Ann Arbor, Michigan Harary ( 1960, 1964), in a survey of 27 unsolved problems in graphical enumeration, asked for the number of different finite automata. Re- cently, Harrison (1965) solved this problem, but without considering automata with initial and final states. With the aid of the Power Group Enumeration Theorem (Harary and Palmer, 1965, 1966) the entire problem can be handled routinely. The method involves a confrontation of several different operations on permutation groups. To set the stage, we enumerate ordered pairs of functions with respect to the product of two power groups. Finite automata are then concisely defined as certain ordered pah's of functions. We review the enumeration of automata in the natural setting of the power group, and then extend this result to enumerate automata with initial and terminal states. I. ENUMERATION THEOREM For completeness we require a number of definitions, which are now given. Let A be a permutation group of order m = ]A I and degree d acting on the set X = Ix1, x~, -.. , xa}. The cycle index of A, denoted Z(A), is defined as follows. Let jk(a) be the number of cycles of length k in the disjoint cycle decomposition of any permutation a in A. Let al, a2, ... , aa be variables. Then the cycle index, which is a poly- nomial in the variables a~, is given by d Z(A) = 1_ ~ H ~,~(°~ . (1) ~$ a EA k=l We sometimes write Z(A; al, as, .. -
Formal Construction of a Set Theory in Coq
Saarland University Faculty of Natural Sciences and Technology I Department of Computer Science Masters Thesis Formal Construction of a Set Theory in Coq submitted by Jonas Kaiser on November 23, 2012 Supervisor Prof. Dr. Gert Smolka Advisor Dr. Chad E. Brown Reviewers Prof. Dr. Gert Smolka Dr. Chad E. Brown Eidesstattliche Erklarung¨ Ich erklare¨ hiermit an Eides Statt, dass ich die vorliegende Arbeit selbststandig¨ verfasst und keine anderen als die angegebenen Quellen und Hilfsmittel verwendet habe. Statement in Lieu of an Oath I hereby confirm that I have written this thesis on my own and that I have not used any other media or materials than the ones referred to in this thesis. Einverstandniserkl¨ arung¨ Ich bin damit einverstanden, dass meine (bestandene) Arbeit in beiden Versionen in die Bibliothek der Informatik aufgenommen und damit vero¨ffentlicht wird. Declaration of Consent I agree to make both versions of my thesis (with a passing grade) accessible to the public by having them added to the library of the Computer Science Department. Saarbrucken,¨ (Datum/Date) (Unterschrift/Signature) iii Acknowledgements First of all I would like to express my sincerest gratitude towards my advisor, Chad Brown, who supported me throughout this work. His extensive knowledge and insights opened my eyes to the beauty of axiomatic set theory and foundational mathematics. We spent many hours discussing the minute details of the various constructions and he taught me the importance of mathematical rigour. Equally important was the support of my supervisor, Prof. Smolka, who first introduced me to the topic and was there whenever a question arose. -
Families of Sets
FORMALIZED MATHEMATICS Number 1, January 1990 Universit´eCatholique de Louvain Families of Sets Beata Padlewska1 Warsaw University Bia lystok Summary. The article contains definitions of the following concepts: family of sets, family of subsets of a set, the intersection of a family of sets. Functors ∪, ∩, and \ are redefined for families of subsets of a set. Some properties of these notions are presented. The terminology and notation used in this paper are introduced in the following papers: [1], [3], and [2]. For simplicity we adopt the following convention: X, Y , Z, Z1, D will denote objects of the type set; x, y will denote objects of the type Any. Let us consider X. The functor \ X, with values of the type set, is defined by for x holds x ∈ it iff for Y holds Y ∈ X implies x ∈ Y, if X 6= ∅, it = ∅, otherwise. The following propositions are true: (1) X 6= ∅ implies for x holds x ∈ \ X iff for Y st Y ∈ X holds x ∈ Y, (2) \ ∅ = ∅, (3) \ X ⊆ [ X, (4) Z ∈ X implies \ X ⊆ Z, (5) ∅∈ X implies \ X = ∅, (6) X 6= ∅ &(for Z1 st Z1 ∈ X holds Z ⊆ Z1) implies Z ⊆ \ X, 1Supported by RPBP.III-24.C1. cf 1990 Fondation Philippe le Hodey 147 ISSN 0777-4028 148 Beata Padlewska (7) X 6= ∅ & X ⊆ Y implies \ Y ⊆ \ X, (8) X ∈ Y & X ⊆ Z implies \ Y ⊆ Z, (9) X ∈ Y & X ∩ Z = ∅ implies \ Y ∩ Z = ∅, (10) X 6= ∅ & Y 6= ∅ implies \(X ∪ Y )= \ X ∩ \ Y, (11) \{x} = x, (12) \{X,Y } = X ∩ Y. Set-Family stands for set . -
Lecture 7 1 Overview 2 Sequences and Cartesian Products
COMPSCI 230: Discrete Mathematics for Computer Science February 4, 2019 Lecture 7 Lecturer: Debmalya Panigrahi Scribe: Erin Taylor 1 Overview In this lecture, we introduce sequences and Cartesian products. We also define relations and study their properties. 2 Sequences and Cartesian Products Recall that two fundamental properties of sets are the following: 1. A set does not contain multiple copies of the same element. 2. The order of elements in a set does not matter. For example, if S = f1, 4, 3g then S is also equal to f4, 1, 3g and f1, 1, 3, 4, 3g. If we remove these two properties from a set, the result is known as a sequence. Definition 1. A sequence is an ordered collection of elements where an element may repeat multiple times. An example of a sequence with three elements is (1, 4, 3). This sequence, unlike the statement above for sets, is not equal to (4, 1, 3), nor is it equal to (1, 1, 3, 4, 3). Often the following shorthand notation is used to define a sequence: 1 s = 8i 2 N i 2i Here the sequence (s1, s2, ... ) is formed by plugging i = 1, 2, ... into the expression to find s1, s2, and so on. This sequence is (1/2, 1/4, 1/8, ... ). We now define a new set operator; the result of this operator is a set whose elements are two-element sequences. Definition 2. The Cartesian product of sets A and B, denoted by A × B, is a set defined as follows: A × B = f(a, b) : a 2 A, b 2 Bg. -
Cartesian Powers
Cartesian Powers sequences subsets functions exponential growth +, -, x, … Analogies between number and set operations Numbers Sets Addition Disjoint union Subtraction Complement Multiplication Cartesian product Exponents ? Cartesian Powers of a Set Cartesian product of a set with itself is a Cartesian power A2 = A x A Cartesian square An ≝ A x A x … x A n’th Cartesian power n X |An| = | A x A x … x A | = |A| x |A| x … x |A| = |A|n Practical and theoretical applications Applications California License Plates California Till 1904 no registration 1905-1912 various registration formats one-time $2 fee 1913 ≤6 digits 106 = 1 million If all OK Sam? 1956 263 x 103 ≈ 17.6 m 1969 263 x 104 ≈ 176 m Binary Strings {0,1}n = { length-n binary strings } n-bit strings 0 1 1 n Set Strings Size {0,1} 0 {0,1}0 Λ 1 00 01 1 {0,1}1 0, 1 2 {0,1}2 2 {0,1}2 00, 01, 10, 11 4 000, 001, 011, 010, 10 11 3 {0,1}3 8 100, 110, 101, 111 001 011 … … … … 010 {0,1}3 n {0,1}n 0…0, …, 1…1 2n 000 111 101 | {0,1}n | =|{0,1}|n = 2n 100 110 Subsets The power set of S, denoted ℙ(S), is the collection of all subsets of S ℙ( {a,b} ) = { {}, {a}, {b}, {a,b} } ℙ({a,b}) and {0,1}2 ℙ({a,b}) a b {0,1}2 Subsets Binary strings {} 00 |ℙ(S)| = ? of S of length |S| ❌ ❌ {b} ❌ ✅ 01 {a} ✅ ❌ 10 |S| 1-1 correspondence between ℙ(S) and {0,1} {a,b} ✅ ✅ 11 |ℙ(S)| = | {0,1}|S| | = 2|S| The size of the power set is the power of the set size Functions A function from A to B maps every element a ∈ A to an element f(a) ∈ B Define a function f: specify f(a) for every a ∈ A f from {1,2,3} to {p, u} specify -
Course 221: Michaelmas Term 2006 Section 1: Sets, Functions and Countability
Course 221: Michaelmas Term 2006 Section 1: Sets, Functions and Countability David R. Wilkins Copyright c David R. Wilkins 2006 Contents 1 Sets, Functions and Countability 2 1.1 Sets . 2 1.2 Cartesian Products of Sets . 5 1.3 Relations . 6 1.4 Equivalence Relations . 6 1.5 Functions . 8 1.6 The Graph of a Function . 9 1.7 Functions and the Empty Set . 10 1.8 Injective, Surjective and Bijective Functions . 11 1.9 Inverse Functions . 13 1.10 Preimages . 14 1.11 Finite and Infinite Sets . 16 1.12 Countability . 17 1.13 Cartesian Products and Unions of Countable Sets . 18 1.14 Uncountable Sets . 21 1.15 Power Sets . 21 1.16 The Cantor Set . 22 1 1 Sets, Functions and Countability 1.1 Sets A set is a collection of objects; these objects are known as elements of the set. If an element x belongs to a set X then we denote this fact by writing x ∈ X. Sets with small numbers of elements can be specified by listing the elements of the set enclosed within braces. For example {a, b, c, d} is the set consisting of the elements a, b, c and d. Two sets are equal if and only if they have the same elements. The empty set ∅ is the set with no elements. Standard notations N, Z, Q, R and C are adopted for the following sets: • the set N of positive integers; • the set Z of integers; • the set Q of rational numbers; • the set R of real numbers; • the set C of complex numbers. -
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.