Partially Ordered Sets
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Scott Spaces and the Dcpo Category
SCOTT SPACES AND THE DCPO CATEGORY JORDAN BROWN Abstract. Directed-complete partial orders (dcpo’s) arise often in the study of λ-calculus. Here we investigate certain properties of dcpo’s and the Scott spaces they induce. We introduce a new construction which allows for the canonical extension of a partial order to a dcpo and give a proof that the dcpo introduced by Zhao, Xi, and Chen is well-filtered. Contents 1. Introduction 1 2. General Definitions and the Finite Case 2 3. Connectedness of Scott Spaces 5 4. The Categorical Structure of DCPO 6 5. Suprema and the Waybelow Relation 7 6. Hofmann-Mislove Theorem 9 7. Ordinal-Based DCPOs 11 8. Acknowledgments 13 References 13 1. Introduction Directed-complete partially ordered sets (dcpo’s) often arise in the study of λ-calculus. Namely, they are often used to construct models for λ theories. There are several versions of the λ-calculus, all of which attempt to describe the ‘computable’ functions. The first robust descriptions of λ-calculus appeared around the same time as the definition of Turing machines, and Turing’s paper introducing computing machines includes a proof that his computable functions are precisely the λ-definable ones [5] [8]. Though we do not address the λ-calculus directly here, an exposition of certain λ theories and the construction of Scott space models for them can be found in [1]. In these models, computable functions correspond to continuous functions with respect to the Scott topology. It is thus with an eye to the application of topological tools in the study of computability that we investigate the Scott topology. -
Generic Filters in Partially Ordered Sets Esfandiar Eslami Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1982 Generic filters in partially ordered sets Esfandiar Eslami Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Mathematics Commons Recommended Citation Eslami, Esfandiar, "Generic filters in partially ordered sets " (1982). Retrospective Theses and Dissertations. 7038. https://lib.dr.iastate.edu/rtd/7038 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. INFORMATION TO USERS This was produced from a copy of a document sent to us for microfilming. While most advanced technological means to photograph and reproduce this docum. have been used, the quality is heavily dependent upon the quality of the mate submitted. The following explanation of techniques is provided to help you underst markings or notations which may appear on this reproduction. 1.The sign or "target" for pages apparently lacking from the documen photographed is "Missing Page(s)". If it was possible to obtain the missin; page(s) or section, they are spliced into the film along with adjacent pages This may have necessitated cutting through an image and duplicatin; adjacent pages to assure you of complete continuity. 2. When an image on the film is obliterated with a round black mark it is ai indication that the film inspector noticed either blurred copy because o movement during exposure, or duplicate copy. -
Relations-Handoutnonotes.Pdf
Introduction Relations Recall that a relation between elements of two sets is a subset of their Cartesian product (of ordered pairs). Slides by Christopher M. Bourke Instructor: Berthe Y. Choueiry Definition A binary relation from a set A to a set B is a subset R ⊆ A × B = {(a, b) | a ∈ A, b ∈ B} Spring 2006 Note the difference between a relation and a function: in a relation, each a ∈ A can map to multiple elements in B. Thus, Computer Science & Engineering 235 relations are generalizations of functions. Introduction to Discrete Mathematics Sections 7.1, 7.3–7.5 of Rosen If an ordered pair (a, b) ∈ R then we say that a is related to b. We [email protected] may also use the notation aRb and aRb6 . Relations Relations Graphical View To represent a relation, you can enumerate every element in R. A B Example a1 b1 a Let A = {a1, a2, a3, a4, a5} and B = {b1, b2, b3} let R be a 2 relation from A to B as follows: a3 b2 R = {(a1, b1), (a1, b2), (a1, b3), (a2, b1), a4 (a3, b1), (a3, b2), (a3, b3), (a5, b1)} b3 a5 You can also represent this relation graphically. Figure: Graphical Representation of a Relation Relations Reflexivity On a Set Definition Definition A relation on the set A is a relation from A to A. I.e. a subset of A × A. There are several properties of relations that we will look at. If the ordered pairs (a, a) appear in a relation on a set A for every a ∈ A Example then it is called reflexive. -
On the Satisfiability Problem for Fragments of the Two-Variable Logic
ON THE SATISFIABILITY PROBLEM FOR FRAGMENTS OF TWO-VARIABLE LOGIC WITH ONE TRANSITIVE RELATION WIESLAW SZWAST∗ AND LIDIA TENDERA Abstract. We study the satisfiability problem for two-variable first- order logic over structures with one transitive relation. We show that the problem is decidable in 2-NExpTime for the fragment consisting of formulas where existential quantifiers are guarded by transitive atoms. As this fragment enjoys neither the finite model property nor the tree model property, to show decidability we introduce a novel model con- struction technique based on the infinite Ramsey theorem. We also point out why the technique is not sufficient to obtain decid- ability for the full two-variable logic with one transitive relation, hence contrary to our previous claim, [FO2 with one transitive relation is de- cidable, STACS 2013: 317-328], the status of the latter problem remains open. 1. Introduction The two-variable fragment of first-order logic, FO2, is the restriction of classical first-order logic over relational signatures to formulas with at most two variables. It is well-known that FO2 enjoys the finite model prop- erty [23], and its satisfiability (hence also finite satisfiability) problem is NExpTime-complete [7]. One drawback of FO2 is that it can neither express transitivity of a bi- nary relation nor say that a binary relation is a partial (or linear) order, or an equivalence relation. These natural properties are important for prac- arXiv:1804.09447v3 [cs.LO] 9 Apr 2019 tical applications, thus attempts have been made to investigate FO2 over restricted classes of structures in which some distinguished binary symbols are required to be interpreted as transitive relations, orders, equivalences, etc. -
Math 475 Homework #3 March 1, 2010 Section 4.6
Student: Yu Cheng (Jade) Math 475 Homework #3 March 1, 2010 Section 4.6 Exercise 36-a Let ͒ be a set of ͢ elements. How many different relations on ͒ are there? Answer: On set ͒ with ͢ elements, we have the following facts. ) Number of two different element pairs ƳͦƷ Number of relations on two different elements ) ʚ͕, ͖ʛ ∈ ͌, ʚ͖, ͕ʛ ∈ ͌ 2 Ɛ ƳͦƷ Number of relations including the reflexive ones ) ʚ͕, ͕ʛ ∈ ͌ 2 Ɛ ƳͦƷ ƍ ͢ ġ Number of ways to select these relations to form a relation on ͒ 2ͦƐƳvƷͮ) ͦƐ)! ġ ͮ) ʚ ʛ v 2ͦƐƳvƷͮ) Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2) )ͯͥ ͮ) Ɣ 2) . b. How many of these relations are reflexive? Answer: We still have ) number of relations on element pairs to choose from, but we have to 2 Ɛ ƳͦƷ ƍ ͢ include the reflexive one, ʚ͕, ͕ʛ ∈ ͌. There are ͢ relations of this kind. Therefore there are ͦƐ)! ġ ġ ʚ ʛ 2ƳͦƐƳvƷͮ)Ʒͯ) Ɣ 2ͦƐƳvƷ Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2) )ͯͥ . c. How many of these relations are symmetric? Answer: To select only the symmetric relations on set ͒ with ͢ elements, we have the following facts. ) Number of symmetric relation pairs between two elements ƳͦƷ Number of relations including the reflexive ones ) ʚ͕, ͕ʛ ∈ ͌ ƳͦƷ ƍ ͢ ġ Number of ways to select these relations to form a relation on ͒ 2ƳvƷͮ) )! )ʚ)ͯͥʛ )ʚ)ͮͥʛ ġ ͮ) ͮ) 2ƳvƷͮ) Ɣ 2ʚ)ͯͦʛ!Ɛͦ Ɣ 2 ͦ Ɣ 2 ͦ . d. -
PROBLEM SET THREE: RELATIONS and FUNCTIONS Problem 1
PROBLEM SET THREE: RELATIONS AND FUNCTIONS Problem 1 a. Prove that the composition of two bijections is a bijection. b. Prove that the inverse of a bijection is a bijection. c. Let U be a set and R the binary relation on ℘(U) such that, for any two subsets of U, A and B, ARB iff there is a bijection from A to B. Prove that R is an equivalence relation. Problem 2 Let A be a fixed set. In this question “relation” means “binary relation on A.” Prove that: a. The intersection of two transitive relations is a transitive relation. b. The intersection of two symmetric relations is a symmetric relation, c. The intersection of two reflexive relations is a reflexive relation. d. The intersection of two equivalence relations is an equivalence relation. Problem 3 Background. For any binary relation R on a set A, the symmetric interior of R, written Sym(R), is defined to be the relation R ∩ R−1. For example, if R is the relation that holds between a pair of people when the first respects the other, then Sym(R) is the relation of mutual respect. Another example: if R is the entailment relation on propositions (the meanings expressed by utterances of declarative sentences), then the symmetric interior is truth- conditional equivalence. Prove that the symmetric interior of a preorder is an equivalence relation. Problem 4 Background. If v is a preorder, then Sym(v) is called the equivalence rela- tion induced by v and written ≡v, or just ≡ if it’s clear from the context which preorder is under discussion. -
PARTIALLY ORDERED TOPOLOGICAL SPACES E(A) = L(A) R\ M(A)
PARTIALLY ORDERED TOPOLOGICAL SPACES L. E. WARD, JR.1 1. Introduction. In this paper we shall consider topological spaces endowed with a reflexive, transitive, binary relation, which, following Birkhoff [l],2 we shall call a quasi order. It will frequently be as- sumed that this quasi order is continuous in an appropriate sense (see §2) as well as being a partial order. Various aspects of spaces possess- ing a quasi order have been investigated by L. Nachbin [6; 7; 8], Birkhoff [l, pp. 38-41, 59-64, 80-82, as well as the papers cited on those pages], and the author [13]. In addition, Wallace [10] has employed an argument using quasi ordered spaces to obtain a fixed point theorem for locally connected continua. This paper is divided into three sections, the first of which is concerned with definitions and preliminary results. A fundamental result due to Wallace, which will have later applications, is proved. §3 is concerned with compact- ness and connectedness properties of chains contained in quasi ordered spaces, and §4 deals with fixed point theorems for quasi ordered spaces. As an application, a new theorem on fixed sets for locally connected continua is proved. This proof leans on a method first employed by Wallace [10]. The author wishes to acknowledge his debt and gratitude to Pro- fessor A. D. Wallace for his patient and encouraging suggestions dur- ing the preparation of this paper. 2. Definitions and preliminary results. By a quasi order on a set X, we mean a reflexive, transitive binary relation, ^. If this relation is also anti-symmetric, it is a partial order. -
Relations April 4
math 55 - Relations April 4 Relations Let A and B be two sets. A (binary) relation on A and B is a subset R ⊂ A × B. We often write aRb to mean (a; b) 2 R. The following are properties of relations on a set S (where above A = S and B = S are taken to be the same set S): 1. Reflexive: (a; a) 2 R for all a 2 S. 2. Symmetric: (a; b) 2 R () (b; a) 2 R for all a; b 2 S. 3. Antisymmetric: (a; b) 2 R and (b; a) 2 R =) a = b. 4. Transitive: (a; b) 2 R and (b; c) 2 R =) (a; c) 2 R for all a; b; c 2 S. Exercises For each of the following relations, which of the above properties do they have? 1. Let R be the relation on Z+ defined by R = f(a; b) j a divides bg. Reflexive, antisymmetric, and transitive 2. Let R be the relation on Z defined by R = f(a; b) j a ≡ b (mod 33)g. Reflexive, symmetric, and transitive 3. Let R be the relation on R defined by R = f(a; b) j a < bg. Symmetric and transitive 4. Let S be the set of all convergent sequences of rational numbers. Let R be the relation on S defined by f(a; b) j lim a = lim bg. Reflexive, symmetric, transitive 5. Let P be the set of all propositional statements. Let R be the relation on P defined by R = f(a; b) j a ! b is trueg. -
Relations II
CS 441 Discrete Mathematics for CS Lecture 22 Relations II Milos Hauskrecht [email protected] 5329 Sennott Square CS 441 Discrete mathematics for CS M. Hauskrecht Cartesian product (review) •Let A={a1, a2, ..ak} and B={b1,b2,..bm}. • The Cartesian product A x B is defined by a set of pairs {(a1 b1), (a1, b2), … (a1, bm), …, (ak,bm)}. Example: Let A={a,b,c} and B={1 2 3}. What is AxB? AxB = {(a,1),(a,2),(a,3),(b,1),(b,2),(b,3)} CS 441 Discrete mathematics for CS M. Hauskrecht 1 Binary relation Definition: Let A and B be sets. A binary relation from A to B is a subset of a Cartesian product A x B. Example: Let A={a,b,c} and B={1,2,3}. • R={(a,1),(b,2),(c,2)} is an example of a relation from A to B. CS 441 Discrete mathematics for CS M. Hauskrecht Representing binary relations • We can graphically represent a binary relation R as follows: •if a R b then draw an arrow from a to b. a b Example: • Let A = {0, 1, 2}, B = {u,v} and R = { (0,u), (0,v), (1,v), (2,u) } •Note: R A x B. • Graph: 2 0 u v 1 CS 441 Discrete mathematics for CS M. Hauskrecht 2 Representing binary relations • We can represent a binary relation R by a table showing (marking) the ordered pairs of R. Example: • Let A = {0, 1, 2}, B = {u,v} and R = { (0,u), (0,v), (1,v), (2,u) } • Table: R | u v or R | u v 0 | x x 0 | 1 1 1 | x 1 | 0 1 2 | x 2 | 1 0 CS 441 Discrete mathematics for CS M. -
Endomorphism Monoids of Combinatorial Structures
Endomorphism Monoids of Combinatorial Structures Nik Ruskuc [email protected] School of Mathematics and Statistics, University of St Andrews Dunedin, December 2007 Relational structures Definition I A relational structure X = (X ; Ri (i 2 I )) consists of a set X and a collection of relations defined on X . r I Each relation Ri has an arity ri , meaning Ri ⊆ X i . I The sequence (ri (i 2 I )) is called the signature of X . Combinatorial structures as relational structures Different combinatorial structures can be distinguished by their signatures and special properties required from their relations. Examples I A (simple, undirected) graph is a relational structure with signature (2), such that its only binary relation is symmetric and irreflexive. I A general structure of signature (2) is a digraph. I Posets: signature (2); properties R, AS, T. I Permutations: signature (2,2); properties: two linear orders. Morphisms Definition Let X = (X ; Ri (i 2 I )) be a relational structure. An endomorphism is a mapping θ : X ! X which respects all the relations Ri , i.e. (x1;:::; xk ) 2 Ri ) (x1θ; : : : ; xk θ) 2 Ri : An automorphisms is an invertible endomorphism. Remark For posets and graphs the above becomes: x ≤ y ) xθ ≤ yθ; x ∼ y ) xθ ∼ yθ: Warning: A bijective endomorphism need not be invertible. Take V = Z, E = f(i − 1; i): i ≤ 0g, and f : x 7! x − 1. Morphisms End(X ) = the endomorphism monoid of X Aut(X ) = the automorphism group of X General Problem For a given X , how are X , End(X ) and Aut(X ), and their properties, related? Trans(X ) and Sym(X ) Let E = E(X ) be a trivial relational structure on X . -
Lazy Monoids and Reversible Computation
Imaginary group: lazy monoids and reversible computation J. Gabbay and P. Kropholler REPORT No. 22, 2011/2012, spring ISSN 1103-467X ISRN IML-R- -22-11/12- -SE+spring Imaginary groups: lazy monoids and reversible computation Murdoch J. Gabbay and Peter H. Kropholler Abstract. By constructions in monoid and group theory we exhibit an adjunction between the category of partially ordered monoids and lazy monoid homomorphisms, and the category of partially ordered groups and group homomorphisms, such that the unit of the adjunction is in- jective. We also prove a similar result for sets acted on by monoids and groups. We introduce the new notion of lazy homomorphism for a function f be- tween partially-ordered monoids such that f (m m ) f (m) f (m ). ◦ ′ ≤ ◦ ′ Every monoid can be endowed with the discrete partial ordering (m m ≤ ′ if and only if m = m′) so our constructions provide a way of embed- ding monoids into groups. A simple counterexample (the two-element monoid with a non-trivial idempotent) and some calculations show that one can never hope for such an embedding to be a monoid homomor- phism, so the price paid for injecting a monoid into a group is that we must weaken the notion of homomorphism to this new notion of lazy homomorphism. The computational significance of this is that a monoid is an abstract model of computation—or at least of ‘operations’—and similarly a group models reversible computations/operations. By this reading, the adjunc- tion with its injective unit gives a systematic high-level way of faithfully translating an irreversible system to a ‘lazy’ reversible one. -
CDM Relations
CDM 1 Relations Relations Operations and Properties Orders Klaus Sutner Carnegie Mellon University Equivalence Relations 30-relations 2017/12/15 23:22 Closures Relations 3 Binary Relations 4 We have seen how to express general concepts (or properties) as sets: we form the set of all objects that “fall under” the concept (in Frege’s Let’s focus on the binary case where two objects are associated, though terminology). Thus we can form the set of natural numbers, of primes, of not necessarily from the same domain. reals, of continuous functions, of stacks, of syntactically correct The unifying characteristic is that we have some property (attribute, C-programs and so on. quality) that can hold or fail to hold of any two objects from the Another fundamental idea is to consider relationships between two or appropriate domains. more objects. Here are some typical examples: Standard notation: for a relation P and suitable objects a and b write P (a, b) for the assertion that P holds on a and b. divisibility relation on natural numbers, Thus we can associate a truth value with P (a, b): the assertion holds if a less-than relation on integers, and b are indeed related by P , and is false otherwise. greater-than relation on rational numbers, For example, if P denotes the divisibility relation on the integers then the “attends course” relation for students and courses, P (3, 9) holds whereas P (3, 10) is false. the “is prerequisite” relation for courses, Later we will be mostly interested in relations where we can effectively the “is a parent of” relation for humans, determine whether P (a, b) holds, but for the time being we will consider the “terminates on input and produces output” relation for programs the general case.