Chapter 10 DOMAIN THEORY and FIXED-POINT SEMANTICS
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CTL Model Checking
CTL Model Checking Prof. P.H. Schmitt Institut fur¨ Theoretische Informatik Fakult¨at fur¨ Informatik Universit¨at Karlsruhe (TH) Formal Systems II Prof. P.H. Schmitt CTLMC Summer 2009 1 / 26 Fixed Point Theory Prof. P.H. Schmitt CTLMC Summer 2009 2 / 26 Fixed Points Definition Definition Let f : P(G) → P(G) be a set valued function and Z a subset of G. 1. Z is called a fixed point of f if f(Z) = Z . 2. Z is called the least fixed point of f is Z is a fixed point and for all other fixed points U of f the relation Z ⊆ U is true. 3. Z is called the greatest fixed point of f is Z is a fixed point and for all other fixed points U of f the relation U ⊆ Z is true. Prof. P.H. Schmitt CTLMC Summer 2009 3 / 26 Finite Fixed Point Lemma Let G be an arbitrary set, Let P(G) denote the power set of a set G. A function f : P(G) → P(G) is called monotone of for all X, Y ⊆ G X ⊆ Y ⇒ f(X) ⊆ f(Y ) Let f : P(G) → P(G) be a monotone function on a finite set G. 1. There is a least and a greatest fixed point of f. S n 2. n≥1 f (∅) is the least fixed point of f. T n 3. n≥1 f (G) is the greatest fixed point of f. Prof. P.H. Schmitt CTLMC Summer 2009 4 / 26 Proof of part (2) of the finite fixed point Lemma Monotonicity of f yields ∅ ⊆ f(∅) ⊆ f 2(∅) ⊆ .. -
Categories and Types for Axiomatic Domain Theory Adam Eppendahl
Department of Computer Science Research Report No. RR-03-05 ISSN 1470-5559 December 2003 Categories and Types for Axiomatic Domain Theory Adam Eppendahl 1 Categories and Types for Axiomatic Domain Theory Adam Eppendahl Submitted for the degree of Doctor of Philosophy University of London 2003 2 3 Categories and Types for Axiomatic Domain Theory Adam Eppendahl Abstract Domain Theory provides a denotational semantics for programming languages and calculi con- taining fixed point combinators and other so-called paradoxical combinators. This dissertation presents results in the category theory and type theory of Axiomatic Domain Theory. Prompted by the adjunctions of Domain Theory, we extend Benton’s linear/nonlinear dual- sequent calculus to include recursive linear types and define a class of models by adding Freyd’s notion of algebraic compactness to the monoidal adjunctions that model Benton’s calculus. We observe that algebraic compactness is better behaved in the context of categories with structural actions than in the usual context of enriched categories. We establish a theory of structural algebraic compactness that allows us to describe our models without reference to en- richment. We develop a 2-categorical perspective on structural actions, including a presentation of monoidal categories that leads directly to Kelly’s reduced coherence conditions. We observe that Benton’s adjoint type constructors can be treated individually, semantically as well as syntactically, using free representations of distributors. We type various of fixed point combinators using recursive types and function types, which we consider the core types of such calculi, together with the adjoint types. We use the idioms of these typings, which include oblique function spaces, to give a translation of the core of Levy’s Call-By-Push-Value. -
Topology, Domain Theory and Theoretical Computer Science
Draft URL httpwwwmathtulaneedumwmtopandcspsgz pages Top ology Domain Theory and Theoretical Computer Science Michael W Mislove Department of Mathematics Tulane University New Orleans LA Abstract In this pap er we survey the use of ordertheoretic top ology in theoretical computer science with an emphasis on applications of domain theory Our fo cus is on the uses of ordertheoretic top ology in programming language semantics and on problems of p otential interest to top ologists that stem from concerns that semantics generates Keywords Domain theory Scott top ology p ower domains untyp ed lamb da calculus Subject Classication BFBNQ Intro duction Top ology has proved to b e an essential to ol for certain asp ects of theoretical computer science Conversely the problems that arise in the computational setting have provided new and interesting stimuli for top ology These prob lems also have increased the interaction b etween top ology and related areas of mathematics such as order theory and top ological algebra In this pap er we outline some of these interactions b etween top ology and theoretical computer science fo cusing on those asp ects that have b een most useful to one particular area of theoretical computation denotational semantics This pap er b egan with the goal of highlighting how the interaction of order and top ology plays a fundamental role in programming semantics and related areas It also started with the viewp oint that there are many purely top o logical notions that are useful in theoretical computer science that -
Least Fixed Points Revisited
LEAST FIXED POINTS REVISITED J.W. de Bakker Mathematical Centre, Amsterdam ABSTRACT Parameter mechanisms for recursive procedures are investigated. Con- trary to the view of Manna et al., it is argued that both call-by-value and call-by-name mechanisms yield the least fixed points of the functionals de- termined by the bodies of the procedures concerned. These functionals dif- fer, however, according to the mechanism chosen. A careful and detailed pre- sentation of this result is given, along the lines of a simple typed lambda calculus, with interpretation rules modelling program execution in such a way that call-by-value determines a change in the environment and call-by- name a textual substitution in the procedure body. KEY WORDS AND PHRASES: Semantics, recursion, least fixed points, parameter mechanisms, call-by-value, call-by-name, lambda calculus. Author's address Mathematical Centre 2e Boerhaavestraat 49 Amsterdam Netherlands 28 NOTATION Section 2 s,t,ti,t',... individual } function terms S,T,... functional p,p',... !~individual} boolean .J function terms P,... functional a~A, aeA} constants b r B, IBeB x,y,z,u X, ~,~ X] variables qcQ, x~0. J r149149 procedure symbols T(t I ..... tn), ~(tl,.-.,tn) ~ application T(TI' '~r)' P(~I' '~r)J ~x I . .xs I . .Ym.t, ~x] . .xs I . .ym.p, abstraction h~l ...~r.T, hX1 ..Xr.~ if p then t' else t"~ [ selection if p then p' else p"J n(T), <n(T),r(r)> rank 1 -< i <- n, 1 -< j -< r,) indices 1 -< h -< l, 1 _< k <- t,T,x,~, . -
Domain Theory: an Introduction
Domain Theory: An Introduction Robert Cartwright Rebecca Parsons Rice University This monograph is an unauthorized revision of “Lectures On A Mathematical Theory of Computation” by Dana Scott [3]. Scott’s monograph uses a formulation of domains called neighborhood systems in which finite elements are selected subsets of a master set of objects called “tokens”. Since tokens have little intuitive significance, Scott has discarded neighborhood systems in favor of an equivalent formulation of domains called information systems [4]. Unfortunately, he has not rewritten his monograph to reflect this change. We have rewritten Scott’s monograph in terms of finitary bases (see Cartwright [2]) instead of information systems. A finitary basis is an information system that is closed under least upper bounds on finite consistent subsets. This convention ensures that every finite answer is represented by a single basis object instead of a set of objects. 1 The Rudiments of Domain Theory Motivation Programs perform computations by repeatedly applying primitive operations to data values. The set of primitive operations and data values depends on the particular programming language. Nearly all languages support a rich collection of data values including atomic objects, such as booleans, integers, characters, and floating point numbers, and composite objects, such as arrays, records, sequences, tuples, and infinite streams. More advanced languages also support functions and procedures as data values. To define the meaning of programs in a given language, we must first define the building blocks—the primitive data values and operations—from which computations in the language are constructed. Domain theory is a comprehensive mathematical framework for defining the data values and primitive operations of a programming language. -
Arxiv:1301.2793V2 [Math.LO] 18 Jul 2014 Uaeacnetof Concept a Mulate Fpwrbet Uetepwre Xo) N/Rmk S Ff of Use Make And/Or Axiom), Presupp Principles
ON TARSKI’S FIXED POINT THEOREM GIOVANNI CURI To Orsola Abstract. A concept of abstract inductive definition on a complete lattice is formulated and studied. As an application, a constructive version of Tarski’s fixed point theorem is obtained. Introduction The fixed point theorem referred to in this paper is the one asserting that every monotone mapping on a complete lattice L has a least fixed point. The proof, due to A. Tarski, of this result, is a simple and most significant example of a proof that can be carried out on the base of intuitionistic logic (e.g. in the intuitionistic set theory IZF, or in topos logic), and that yet is widely regarded as essentially non-constructive. The reason for this fact is that Tarski’s construction of the fixed point is highly impredicative: if f : L → L is a monotone map, its least fixed point is given by V P , with P ≡ {x ∈ L | f(x) ≤ x}. Impredicativity here is found in the fact that the fixed point, call it p, appears in its own construction (p belongs to P ), and, indirectly, in the fact that the complete lattice L (and, as a consequence, the collection P over which the infimum is taken) is assumed to form a set, an assumption that seems only reasonable in an intuitionistic setting in the presence of strong impredicative principles (cf. Section 2 below). In concrete applications (e.g. in computer science and numerical analysis) the monotone operator f is often also continuous, in particular it preserves suprema of non-empty chains; in this situation, the least fixed point can be constructed taking the supremum of the ascending chain ⊥,f(⊥),f(f(⊥)), ..., given by the set of finite iterations of f on the least element ⊥. -
Spectral Sets
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF PURE AND APPLIED ALGEBRA ELSE&R Journal of Pure and Applied Algebra 94 (1994) lOlL114 Spectral sets H.A. Priestley Mathematical Institute, 24129 St. Giles, Oxford OXI 3LB, United Kingdom Communicated by P.T. Johnstone; received 17 September 1993; revised 13 April 1993 Abstract The purpose of this expository note is to draw together and to interrelate a variety of characterisations and examples of spectral sets (alias representable posets or profinite posets) from ring theory, lattice theory and domain theory. 1. Introduction Thanks to their threefold incarnation-in ring theory, in lattice theory and in computer science-the structures we wish to consider have been approached from a variety of perspectives, with rather little overlap. We shall seek to show how the results of these independent studies are related, and add some new results en route. We begin with the definitions which will allow us to present, as Theorem 1.1, the amalgam of known results which form the starting point for our later discussion. The theorem collects together ways of describing the prime spectra of commutative rings with identity or, equivalently, of distributive lattices with 0 and 1. A topology z on a set X is defined to be spectral (and (X; s) called a spectral space) if the following conditions hold: (i) ? is sober (that is, every non-empty irreducible closed set is the closure of a unique point), (ii) z is quasicompact, (iii) the quasicompact open sets form a basis for z, (iv) the family of quasicompact open subsets of X is closed under finite intersections. -
First Order Logic, Fixed Point Logic and Linear Order Anuj Dawar University of Pennsylvania
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by ScholarlyCommons@Penn University of Pennsylvania ScholarlyCommons IRCS Technical Reports Series Institute for Research in Cognitive Science November 1995 First Order Logic, Fixed Point Logic and Linear Order Anuj Dawar University of Pennsylvania Steven Lindell University of Pennsylvania Scott einsW tein University of Pennsylvania, [email protected] Follow this and additional works at: http://repository.upenn.edu/ircs_reports Dawar, Anuj; Lindell, Steven; and Weinstein, Scott, "First Order Logic, Fixed Point Logic and Linear Order" (1995). IRCS Technical Reports Series. 145. http://repository.upenn.edu/ircs_reports/145 University of Pennsylvania Institute for Research in Cognitive Science Technical Report No. IRCS-95-30. This paper is posted at ScholarlyCommons. http://repository.upenn.edu/ircs_reports/145 For more information, please contact [email protected]. First Order Logic, Fixed Point Logic and Linear Order Abstract The Ordered conjecture of Kolaitis and Vardi asks whether fixed-point logic differs from first-order logic on every infinite class of finite ordered structures. In this paper, we develop the tool of bounded variable element types, and illustrate its application to this and the original conjectures of McColm, which arose from the study of inductive definability and infinitary logic on proficient classes of finite structures (those admitting an unbounded induction). In particular, for a class of finite structures, we introduce a compactness notion which yields a new proof of a ramified version of McColm's second conjecture. Furthermore, we show a connection between a model-theoretic preservation property and the Ordered Conjecture, allowing us to prove it for classes of strings (colored orderings). -
Characterizations of Inductive Posets with Applications Milan R
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 104, Number 2, October 1988 CHARACTERIZATIONS OF INDUCTIVE POSETS WITH APPLICATIONS MILAN R. TASKOVIC (Communicated by Andrew Odlyzko) ABSTRACT. This paper presents new characterizations of inductiveness of posets in terms of fixed apexes and fixed points. Applications in nonlinear functional analysis and fixed point theory are considered. 1. Introduction and main results. Let P be a partially ordered set. A self- mapping / of P into itself is called an isotone mapping if x < y implies f(x) < f(y). An isotone (order-preserving or increasing) map / of a partially ordered set (:= poset) P to itself has a fixed point if there exists an element f in P such that /(£) — f. P is said to have the fixed point property if every isotone map / of P into itself has a fixed point. The first of the fixed point theorems for partially ordered sets goes back to Tarski and Knaster (cf. [TA]), who proved that the lattice of all subsets of a set has the fixed point property. In the mid-1950's Tarski [TA] published a generalization: Every complete lattice has the fixed point property. Tarski [TA] raised the question whether the converse of this result also holds. Davis [DA] proved the converse: Every lattice with the fixed point property is complete. In [RI], Rival published a far-reaching extension: Every isotone map of a finite, connected poset P into itself has a fixpoint. Call a poset P inductive (chain-complete) when every nonempty chain in P has an upper bound (supremum) in P. -
Corecursive Algebras: a Study of General Structured Corecursion (Extended Abstract)
Corecursive Algebras: A Study of General Structured Corecursion (Extended Abstract) Venanzio Capretta1, Tarmo Uustalu2, and Varmo Vene3 1 Institute for Computer and Information Science, Radboud University Nijmegen 2 Institute of Cybernetics, Tallinn University of Technology 3 Department of Computer Science, University of Tartu Abstract. We study general structured corecursion, dualizing the work of Osius, Taylor, and others on general structured recursion. We call an algebra of a functor corecursive if it supports general structured corecur- sion: there is a unique map to it from any coalgebra of the same functor. The concept of antifounded algebra is a statement of the bisimulation principle. We show that it is independent from corecursiveness: Neither condition implies the other. Finally, we call an algebra focusing if its codomain can be reconstructed by iterating structural refinement. This is the strongest condition and implies all the others. 1 Introduction A line of research started by Osius and Taylor studies the categorical foundations of general structured recursion. A recursive coalgebra (RCA) is a coalgebra of a functor F with a unique coalgebra-to-algebra morphism to any F -algebra. In other words, it is an algebra guaranteeing unique solvability of any structured recursive diagram. The notion was introduced by Osius [Osi74] (it was also of interest to Eppendahl [Epp99]; we studied construction of recursive coalgebras from coalgebras known to be recursive with the help of distributive laws of functors over comonads [CUV06]). Taylor introduced the notion of wellfounded coalgebra (WFCA) and proved that, in a Set-like category, it is equivalent to RCA [Tay96a,Tay96b],[Tay99, Ch. -
Type-Based Termination, Inflationary Fixed-Points, and Mixed Inductive-Coinductive Types
Type-Based Termination, Inflationary Fixed-Points, and Mixed Inductive-Coinductive Types Andreas Abel Department of Computer Science Ludwig-Maximilians-University Munich, Germany [email protected] Type systems certify program properties in a compositional way. From a bigger program one can abstract out a part and certify the properties of the resulting abstract program by just using the type of the part that was abstracted away. Termination and productivity are non-trivial yet desired pro- gram properties, and several type systems have been put forward that guarantee termination, com- positionally. These type systems are intimately connected to the definition of least and greatest fixed-points by ordinal iteration. While most type systems use “conventional” iteration, we consider inflationary iteration in this article. We demonstrate how this leads to a more principled type system, with recursion based on well-founded induction. The type system has a prototypical implementa- tion, MiniAgda, and we show in particular how it certifies productivity of corecursive and mixed recursive-corecursive functions. 1 Introduction: Types, Compositionality, and Termination While basic types like integer, floating-point number, and memory address arise on the machine-level of most current computers, higher types like function and tuple types are abstractions that classify values. Higher types serve to guarantee certain good program behaviors, like the classic “don’t go wrong” ab- sence of runtime errors [Mil78]. Such properties are usually not compositional, i. e., while a function f and its argument a might both be well-behaved on their own, their application f a might still go wrong. This issue also pops up in termination proofs: take f = a = λx.xx, then both are terminating, but their application loops. -
Domain Theory Corrected and Expanded Version Samson Abramsky1 and Achim Jung2
Domain Theory Corrected and expanded version Samson Abramsky1 and Achim Jung2 This text is based on the chapter Domain Theory in the Handbook for Logic in Computer Science, volume 3, edited by S. Abramsky, Dov M. Gabbay, and T. S. E. Maibaum, published by Clarendon Press, Oxford in 1994. While the numbering of all theorems and definitions has been kept the same, we have included comments and corrections which we have received over the years. For ease of reading, small typo- graphical errors have simply been corrected. Where we felt the original text gave a misleading impression, we have included additional explanations, clearly marked as such. If you wish to refer to this text, then please cite the published original version where possible, or otherwise this on-line version which we try to keep available from the page http://www.cs.bham.ac.uk/∼axj/papers.html We will be grateful to receive further comments or suggestions. Please send them to [email protected] So far, we have received comments and/or corrections from Francesco Consentino, Joseph D. Darcy, Mohamed El-Zawawy, Weng Kin Ho, Klaus Keimel, Olaf Klinke, Xuhui Li, Homeira Pajoohesh, Dieter Spreen, and Dominic van der Zypen. 1Computing Laboratory, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, Eng- land. 2School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, England. Contents 1 Introduction and Overview 5 1.1 Origins ................................. 5 1.2 Ourapproach .............................. 7 1.3 Overview ................................ 7 2 Domains individually 10 2.1 Convergence .............................. 10 2.1.1 Posetsandpreorders .. .... .... ... .... .... 10 2.1.2 Notation from order theory .