Objects, Interference, and the Yoneda Embedding

Total Page:16

File Type:pdf, Size:1020Kb

Objects, Interference, and the Yoneda Embedding Syracuse University SURFACE College of Engineering and Computer Science - Former Departments, Centers, Institutes and College of Engineering and Computer Science Projects 1995 Objects, Interference, and the Yoneda Embedding Peter W. O'Hearn Syracuse University Uday S. Reddy University of Illinois at Urbana-Champaign Follow this and additional works at: https://surface.syr.edu/lcsmith_other Part of the Programming Languages and Compilers Commons Recommended Citation O'Hearn, Peter W. and Reddy, Uday S., "Objects, Interference, and the Yoneda Embedding" (1995). College of Engineering and Computer Science - Former Departments, Centers, Institutes and Projects. 14. https://surface.syr.edu/lcsmith_other/14 This Article is brought to you for free and open access by the College of Engineering and Computer Science at SURFACE. It has been accepted for inclusion in College of Engineering and Computer Science - Former Departments, Centers, Institutes and Projects by an authorized administrator of SURFACE. For more information, please contact [email protected]. Electronic Notes in Theoretical Computer Science to app ear Ob jects Interference and the Yoneda Emb edding Peter W OHearn Syracuse University Uday S Reddy University of Il linois at UrbanaChampaign Dedicated to John C Reynolds in honor of his th birthday Abstract We present a new semantics for Algollike languages that combines metho ds from two prior lines of development the ob jectbased approach of where the meaning of an imp erative program is describ ed in terms of sequences of observable actions and the functorcategory approach initiated by Reynolds where the varying na ture of the runtime stack is explained using functors from a category of store shap es to a category of cp os The semantics gives an account of b oth the phemomena of lo cal state and irre versibility of state change As an indication of the accuracy obtained we present a full abstraction result for closed terms of secondorder typ e in a language containing active expressions ie valuereturning commands Intro duction In his inuential Turing award lecture John Backus criticized imp erative programming languages for promoting a view of programming as wordata time pro cessing John Reynolds expressed his resp onse to this criticism in a meeting of IFIP working group in around which he rep eated to several p eople privately including the second author The view put forward by Backus Reynolds said is that imp erative programming is like working with 1 Supp orted by NSF grant CCR 2 Supp orted by NSF grant CCR c Elsevier Science B V OHearn and Reddy pigeon holes All that one do es is to take a pigeon out from a hole or to put a new pigeon in a hole But with ob jectoriented programming he said one works with turkey holes rather than pigeon holes Instead of taking out a pigeon or putting in a pigeon one do es more sophisticated manipulations such as rotate a turkey or tilt a turkey The turkey holes that Reynolds sp oke of are what programmers call ob jects They incorp orate some physical resources such as memory and provide op erations for the manipulation of these resources Programs are built by putting such ob jects together and letting them invoke each others op era tions The state of an ob ject cannot b e manipulated by other ob jects without the co op eration of the ob ject itself in terms of the op erations it provides Such an ob jectbased view we nd is implicit throughout Reynoldss work on imp erative programming In his seminal pap er on Algollike languages Reynolds treats pro ce dures not as actions on the global state but as actions on the state at the p oint of their denitions To elab orate a pro cedure can only access the ob jects that have b een allo cated when the pro cedure is dened Other ob jects created after the p oint of denition but b efore the pro cedure is called do not aect its b ehavior Every pro cedure lives in its own turkey hole so to sp eak Reynolds also shows how to treat variables pigeon holes as a sp ecial case of turkey holes ob jects with op erations for setting and reading values stored in them This essentially frees imp erative programming from the limitations suggested by Backus and sets up a truly ob jectbased paradigm for thinking ab out imp erative programs Reynoldss program for the semantics of imp erative languages was further develop ed by Oles and Tennent and continued and expanded in a numb er of works In a separate line of development a mo del based more explicitly on a notion of ob jects has b een formulated in Reynoldss conception of imp erative programming expressed ab ove formed an imp ortant pretheoretic motivation for this work though its theo retical development also draws inspiration from linear logic syntactic control of interference and the relation b etween them In this pap er we obtain a new semantics for Algollike languages via a synthesis of these two lines the ob jectbased approach of where the meaning of an imp erative program is describ ed in terms of sequences of observable actions and the functorcategory approach initiated by Reynolds where the varying nature of the runtime stack is explained using functors from a category of store shap es to a category of cp os In the remainder of this intro ductory section we give an informal overview of the construction and discuss the sp ecic semantic issues addressed by it Semantic issues Locality and irreversibility In imp erative computation there is an idea of destroying information by over writing parts of computer memory This is clearly imp ortant for implementa OHearn and Reddy tion But supplying direct access to assignment in the programming language also results in p ositive information that programmers make use of Consider a parameterless pro cedure gensym that returns a dierent integer each time it is called In reasoning ab out a program using gensym for instance gen erating fresh names when implementing substitution in calculus we would use the prop erty that any call to gensym returns an integer that was not returned by it previously This prop erty exemplies one of the most basic intuitions ab out state the general irreversibility of state change By this we mean not only that p ortions of the store are destructively up dated during the course of a compu tation but that in the presence of abstraction or lo cal state this irreversibility manifests itself in observable prop erties of programs A typical implementation of gensym would use a lo cal integer variable that is incremented on each call When we say that gensym returns a dierent integer each time it is called it is crucial that other pro cedures or ob jects do not access the lo cal state of gensym directly and reset the value to a previouslyencountered one This statement ab out the gensym pro cedure implicitly involves interactions b etween the pro cedure and any other pieces of a program The following co de illustrates the kind of prop erty of such interactions we have in mind b egin integer x integer pro cedure gensym f x x returnx g x P gensym if gensym then diverge end A client pro cedure P is passed a parameterless pro cedure gensym for generating new names P can use its argument a numb er of times we are assuming callbyname though the eect can obviously b e simulated in call byvalue and if it uses its argument at least once then we exp ect that the whole blo ck will diverge Since the nonlo cal pro cedure P cannot access the lo cal variable x if x is up dated by calling gensym then pro cedure P has no way of resetting its value to zero It follows by intuitive reasoning that this blo ck should have terminationnontermination b ehavior equivalent to P diverge This co de is not a realistic program but it is interesting for the reasoning principle it illustrates Generally when we have an ob ject consisting of some internal state and observable op erations it is not p ossible for a client program to cause the internal state of the ob ject to backtrack to previous states This is b ecause the only changes to the internal state that the client can p ossibly eect come ab out by using the provided op erations The observable ramications of irreversibility of state change are inextricably b ound up with lo cality Irreversibility has proven dicult to capture in semantics b ecause most mo dels allow for snapback op erations These op erations work by accepting a OHearn and Reddy pro cedure as an argument running the pro cedure and then restoring the state to the value it had b efore the argument was executed this would contradict the reasoning ab out gensym ab ove The snapback eect requires restoration of even lo cal state The phenomenon of irreversibility is not so clear cut in languages that violate the abstractness of lo cal state such as C or when programming on a system level where one might want access to the entire computer memory One could in some instances achieve the eect of snapback by a series of incremental state changes But on the level of programmable ob jects where abstraction is central irreversibility is a familiar phenomenon one that arises in Scheme ML Algol and most ob jectoriented languages These intertwined notions of irreversibility and lo cality are fundamental and should b e accounted for by a satisfactory theory of state Overview of Approach Objects plus Yoneda The mo del presented here builds up on the work rep orted in where a semantics is presented based on identifying an imp erative computation with a stream of observations For example commands are mo delled not as state tostate functions but as sequences
Recommended publications
  • Part II Topological Dualities
    Part II Top ological dualities Chapter Top ology and armative predicates In the rst part of this monograph we considered predicates to be subsets of an abstract set of states If we think of the states as the denotations of results of computations of programs then predicates b ecome computationally mean ingful in the sense that we can use partial information ab out a computation to tell whether or not a predicate holds for that computation A predicate for which only nite information ab out a computation is needed to arm whether it holds is called an armative predicate The set of armative predicates is closed under nite intersections and ar bitrary unions Hence armative predicates can be identied with the op en sets of a top ological space The idea that op en sets are observable predi cates was prop osed by Smyth in although it is also brie y mentioned in Smyth interprets op en sets as semidecidable prop erties in some eectively given top ological space More generally op en sets can be inter preted as nitely observable predicates Alp ern and Schneider and Kwiatkowska use op en sets as nite liveness predicates and closed sets as safety predicates to formalize the informal characterization of liveness and safety prop erties of Lamp ort The name armative predicates has b een intro duced by Vickers for denoting the abstract op en sets of a frame Armative predicates are also called veriable predicates by Rewitzky who uses the term observable for predicates which are b oth armative and refutative Bonsangue In this chapter we intro
    [Show full text]
  • Spatio-Temporal Domains: an Overview David Janin
    Spatio-temporal domains: an overview David Janin To cite this version: David Janin. Spatio-temporal domains: an overview. 2018. hal-01634897v2 HAL Id: hal-01634897 https://hal.archives-ouvertes.fr/hal-01634897v2 Preprint submitted on 17 Jul 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Spatio-temporal domains: an overview David Janin? UMR LaBRI, Bordeaux INP Université de Bordeaux [email protected] Abstract. We consider the possibility of defining a general mathemat- ical framework for the homogeneous modeling and analysis of hetero- geneous spatio-temporal computations as they occur more and more in modern computerized systems of systems. It appears that certain fibra- tions of posets into posets, called here spatio-temporal domains, eventu- ally provide a fully featured category that extends to space and time the category of cpos and continuous functions, aka Scott Domains, used in classical denotational semantics. 1 Introduction Research context. Program semantics is classically divided between two com- plementary approaches : denotational semantics and operational semantics. De- notational semantics generally refers to what the partial functions encoded by programs are : what is the relationship between (models of) their input val- ues (or input memory state) and their output values (or output memory state).
    [Show full text]
  • On the Categorical Semantics of Elementary Linear Logic
    Theory and Applications of Categories, Vol. 22, No. 10, 2009, pp. 269{301. ON THE CATEGORICAL SEMANTICS OF ELEMENTARY LINEAR LOGIC OLIVIER LAURENT Abstract. We introduce the notion of elementary Seely category as a notion of cate- gorical model of Elementary Linear Logic (ELL) inspired from Seely's de¯nition of models of Linear Logic (LL). In order to deal with additive connectives in ELL, we use the ap- proach of Danos and Joinet [DJ03]. From the categorical point of view, this requires us to go outside the usual interpretation of connectives by functors. The ! connective is decomposed into a pre-connective ] which is interpreted by a whole family of functors (generated by id, ­ and &). As an application, we prove the strati¯ed coherent model and the obsessional coherent model to be elementary Seely categories and thus models of ELL. Introduction The goal of implicit computational complexity is to give characterizations of complexity classes which rely neither on a particular computation model nor on explicit bounds. In linear logic (LL) [Gir87], the introduction of the exponential connectives gives a precise status to duplication and erasure of formulas (the qualitative analysis). It has been shown that putting constraints on the use of exponentials permits one to give a quantitative analysis of the cut elimination procedure of LL and to de¯ne light sub-systems of LL characterizing complexity classes (for example BLL [GSS92], LLL [Gir98] or SLL [Laf04] for polynomial time and ELL [Gir98, DJ03] for elementary time). In order to have a better understanding of the mathematical structures underlying these systems, various proposals have been made in the last years with the common goal of de¯ning denotational models of light systems [MO00, Bai04, DLH05, LTdF06, Red07].
    [Show full text]
  • Compact Topologies on Locally Presentable Categories Cahiers De Topologie Et Géométrie Différentielle Catégoriques, Tome 38, No 3 (1997), P
    CAHIERS DE TOPOLOGIE ET GÉOMÉTRIE DIFFÉRENTIELLE CATÉGORIQUES PANAGIS KARAZERIS Compact topologies on locally presentable categories Cahiers de topologie et géométrie différentielle catégoriques, tome 38, no 3 (1997), p. 227-255 <http://www.numdam.org/item?id=CTGDC_1997__38_3_227_0> © Andrée C. Ehresmann et les auteurs, 1997, tous droits réservés. L’accès aux archives de la revue « Cahiers de topologie et géométrie différentielle catégoriques » implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/conditions). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright. Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques http://www.numdam.org/ CAHIER DE TOPOLOGIE ET J Illume XXXVIII-3 (1997) GEOMETRIE DIFFERENTIELLE CATEGORIQUES COMPACT TOPOLOGIES ON LOCALLY PRESENTABLE CATEGORIES by Panagis KARAZERIS RESUME. Les topologies sur les categories localement pr6sentables g6n6rallsent les notions famill6res suivantes, d’une part les topologies de Grothendieck sur des petites categories, d’autre part les topologies de Gabriel sur des categories abéliennes à generateurs. Dans cet article on introduit une condition, qui peut être v6rifi6e pour les topologies pr6c6dentes, appel6e "compacit6". Dans le cas des topologies de Grothendieck, cette condition signifie qu’un recouvrement quelconque a un sous-recouvrement fini. Les topologies compactes correspondantes ont des localisations ferm6es dans la cat6gorie donnee pour des colimites filtrantes monomorphiques. On examine aussi la fermeture des objets s6par6s et des faisceaux pour les colimites filtrantes. Les topologies compactes sur une cat6gorie localement de presentation finie forment un locale. Si cette cat6gorie est un topos coherent, alors le locale est compact et localement compact.
    [Show full text]
  • Introduction to Coherent Spaces
    Introduction to coherent spaces Arnold Neumaier Fakult¨at f¨ur Mathematik, Universit¨at Wien Oskar-Morgenstern-Platz 1, A-1090 Wien, Austria email: [email protected] WWW: http://www.mat.univie.ac.at/~neum arXiv:1804.01402 September 28, 2018 Abstract. The notion of a coherent space is a nonlinear version of the notion of a complex Euclidean space: The vector space axioms are dropped while the notion of inner product is kept. Coherent spaces provide a setting for the study of geometry in a different direction than traditional metric, topological, and differential geometry. Just as it pays to study the properties of manifolds independently of their embedding into a Euclidean space, so it appears fruitful to study the properties of coherent spaces independent of their embedding into a Hilbert space. Coherent spaces have close relations to reproducing kernel Hilbert spaces, Fock spaces, and unitary group representations, and to many other fields of mathematics, statistics, and physics. This paper is the first of a series of papers and defines concepts and basic theorems about coherent spaces, associated vector spaces, and their topology. Later papers in the series dis- cuss symmetries of coherent spaces, relations to homogeneous spaces, the theory of group representations, C∗-algebras, hypergroups, finite geometry, and applications to quantum physics. While the applications to quantum physics were the main motiviation for develop- ing the theory, many more applications exist in complex analysis, group theory, probability theory, statistics, physics, and engineering. For the discussion of questions concerning coherent spaces, please use the discussion forum https://www.physicsoverflow.org.
    [Show full text]
  • LINEAR LOGIC, -AUTONOMOUS CATEGORIES and COFREE COALGEBRAS1 R.A.G. Seely Girard 1987]
    LINEAR LOGIC AUTONOMOUS CATEGORIES 1 AND COFREE COALGEBRAS RAG Seely ABSTRACT A brief outline of the categorical characterisation of Girards linear logic is given analagous to the relationship b etween cartesian closed cat egories and typed calculus The linear structure amounts to a autonomous category a closed symmetric monoidal category G with nite pro ducts and a closed involution Girards exp onential op erator is a cotriple on G which carries the canonical comonoid structure on A with resp ect to cartesian pro duct to a comonoid structure on A with resp ect to tensor pro duct This makes the Kleisli category for cartesian closed INTRODUCTION In Linear logic JeanYves Girard introduced a logical system he describ ed as a logic b ehind logic Linear logic was a consequence of his analysis of the structure of qualitative domains Girard he noticed that the interpretation of the usual conditional could b e decomp osed into two more primitive notions a linear conditional and a unary op erator called of course which is formally rather like an interior op erator X Y X Y The purp ose of this note is to answer two questions and p erhaps p ose some others First if linear category means the structure making valid the prop ortion linear logic linear category typed calculus cartesian closed category then what is a linear category This question is quite easy and in true categorical spirit one nds that it was answered long b efore b eing put namely by Barr Our intent here is mainly to supply a few details to make the matter more precise
    [Show full text]
  • Variations on the Bagdomain Theme
    Theoretical Computer Science 136 (1994) 3 20 3 Elsevier Variations on the bagdomain theme P.T. Johnstone Department of Pure Mathematics, Cambridqe University, 16 Mill Lane, Cambridge, CB2 I SB, UK Abstract Johnstone, P.T., Variations on the bagdomain theme, Theoretical Computer Science 136 (1994) 3-20. The notion of bagdomain was first introduced by Vickers (1992) and further studied by the present author in (Johnstone, 1992). In these papers, attention was focused on one particular version of the bagdomain construction, the "bag" analogue of the lower (Hoare) powerdomain; but there are many other possibilities. The purpose of the present paper is to introduce some of these possibilities and to describe their basic properties, using the theory of fibrations and partial products developed in (Johnstone, 1993). O. Introduction The notion of bagdomain was first introduced by Vickers [20] and further studied by the present author in [9]. The basic idea is that, for certain potential applications (e.g. in building a mathematical model of databases), the concept of a "powerdomain" PD whose points are sets of points of the original domain D is inadequate: one wants to consider bags (indexed families) of points of D, and in particular the "refinement ordering" on bags of points needs to keep track of which particular points in the first bag are (regarded as being) refined by which points in the second bag. This immediately forces the "refinement ordering" to be a category and not just a preorder, and so the problem cannot be solved within the traditional context of spaces (or loc- ales): one needs instead to think of domains as (Grothendieck) toposes, which gives one precisely the right sort of "generalized spaces of points" for the construction to be possible.
    [Show full text]
  • Introduction to Coherent Spaces
    Introduction to coherent spaces Arnold Neumaier Fakult¨at f¨ur Mathematik, Universit¨at Wien Oskar-Morgenstern-Platz 1, A-1090 Wien, Austria email: [email protected] WWW: http://www.mat.univie.ac.at/~neum arXiv:1804.01402 September 28, 2018 Abstract. The notion of a coherent space is a nonlinear version of the notion of a complex Euclidean space: The vector space axioms are dropped while the notion of inner product is kept. Coherent spaces provide a setting for the study of geometry in a different direction than traditional metric, topological, and differential geometry. Just as it pays to study the properties of manifolds independently of their embedding into a Euclidean space, so it appears fruitful to study the properties of coherent spaces independent of their embedding into a Hilbert space. Coherent spaces have close relations to reproducing kernel Hilbert spaces, Fock spaces, and unitary group representations, and to many other fields of mathematics, statistics, and physics. This paper is the first of a series of papers and defines concepts and basic theorems about coherent spaces, associated vector spaces, and their topology. Later papers in the series dis- cuss symmetries of coherent spaces, relations to homogeneous spaces, the theory of group representations, C∗-algebras, hypergroups, finite geometry, and applications to quantum physics. While the applications to quantum physics were the main motiviation for develop- ing the theory, many more applications exist in complex analysis, group theory, probability theory, statistics, physics, and engineering. arXiv:1804.01402v2 [math-ph] 28 Sep 2018 For the discussion of questions concerning coherent spaces, please use the discussion forum https://www.physicsoverflow.org.
    [Show full text]
  • Introduction to Coherent Quantization
    Introduction to coherent quantization Arnold Neumaier Fakult¨at f¨ur Mathematik, Universit¨at Wien Oskar-Morgenstern-Platz 1, A-1090 Wien, Austria email: [email protected] WWW: http://www.mat.univie.ac.at/~neum Arash Ghaani Farashahi Department of Pure Mathematics, School of Mathematics Faculty of Mathematics and Physical Sciences, University of Leeds Leeds, LS2 9JT, United Kingdom email: [email protected] email: [email protected] WWW: https://sites.google.com/site/ghaanifarashahi/ August 16, 2021 arXiv:1804.01400v2 Abstract. This paper is one of a series of papers on coherent spaces and their appli- cations, defined in the recent book ’Coherent Quantum Mechanics’ by the first author. The paper studies coherent quantization – the way operators in the quantum space of a coherent space can be studied in terms of objects defined directly on the coherent space. The results may be viewed as a generalization of geometric quantization, including the non-unitary case. Care has been taken to work with the weakest meaningful topology and to assume as little as possible about the spaces and groups involved. Unlike in geometric quantization, the groups are not assumed to be compact, locally compact, or finite-dimensional. This implies that the setting can be successfully applied to quantum field theory, where the groups involved satisfy none of these properties. The paper characterizes linear operators acting on the quantum space of a coherent space in terms of their coherent matrix elements. Coherent maps and associated symmetry groups for coherent spaces are introduced, and formulas are derived for the quantization arXiv:1804.01400v3 [math-ph] 16 Aug 2021 of coherent maps.
    [Show full text]
  • Geometrical Semantics for Linear Logic (Multiplicative Fragment) Sergey Slavnov
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Theoretical Computer Science 357 (2006) 215–229 www.elsevier.com/locate/tcs Geometrical semantics for linear logic (multiplicative fragment) Sergey Slavnov Cornell University, Malott Hall, Ithaca, NY 14853-4201, USA Abstract Linear logic was described by Girard as a logic of dynamic interactions. On the other hand, Girard suggested an analogy between LL and quantum theory. Following these two intuitions we give an interpretation of linear logic in the language, which is common for both dynamical systems and quantization. Thus, we propose a denotational semantics for multiplicative linear logic using the language of symplectic geometry. We construct a category of coherent phase spaces and show that this category provides a model for MLL. A coherent phase space is a pair: a symplectic manifold and a distinguished field of contact cones on this manifold. The category of coherent phase spaces is a refinement of the symplectic “category” introduced by Weinstein. A morphism between two coherent phase spaces is a Lagrangian submanifold of their product, which is tangent to some distinguished field of contact cones. Thus, we interpret formulas of MLL as fields of contact cones on symplectic manifolds, and proofs as integral submanifolds of corresponding fields. In geometric and asymptotic quantization symplectic manifolds are phase spaces of classical systems, and Lagrangian submani- folds represent asymptotically states of quantized systems. Typically, a Lagrangian submanifold is the best possible localization of a quantum system in the classical phase space, as follows from the Heisenberg uncertainty principle.
    [Show full text]
  • Some Aspects of Categories in Computer Science
    This is a technical rep ort A mo died version of this rep ort will b e published in Handbook of Algebra Vol edited by M Hazewinkel Some Asp ects of Categories in Computer Science P J Scott Dept of Mathematics University of Ottawa Ottawa Ontario CANADA Sept Contents Intro duction Categories Lamb da Calculi and FormulasasTyp es Cartesian Closed Categories Simply Typ ed Lamb da Calculi FormulasasTyp es the fundamental equivalence Some Datatyp es Polymorphism Polymorphic lamb da calculi What is a Mo del of System F The Untyp ed World Mo dels and Denotational Semantics CMonoids and Categorical Combinators Church vs Curry Typing Logical Relations and Logical Permutations Logical Relations and Syntax Example ReductionFree Normalization Categorical Normal Forms P category theory and normalization algorithms Example PCF PCF Adequacy Parametricity Dinaturality Reynolds Parametricity
    [Show full text]
  • Representation and Duality of the Untyped Lambda-Calculus In
    Representation and duality of the untyped λ-calculus in nominal lattice and topological semantics, with a proof of topological completeness Murdoch J. Gabbaya, Michael J. Gabbayb aHeriot-Watt University, Scotland, UK bUniversity of Cambridge, UK Abstract We give a semantics for the λ-calculus based on a topological duality theorem in nom- inal sets. A novel interpretation of λ is given in terms of adjoints, and λ-terms are interpreted absolutely as sets (no valuation is necessary). Keywords: Nominal algebras, fresh-finite limits, lambda-calculus, spectral spaces, lattices and order, variables, nominal techniques, mathematical foundations, Fraenkel-Mostowski set theory Contents 1 Introduction 5 1.1 A very brief summary of the contributionsof this paper . ...... 5 1.2 Thepointofdualityresults . 6 1.3 Mapofthepaper ............................. 7 1.4 Alistofinterestingtechnicalfeatures. ..... 8 1.5 Whyisthispapersolong? . 9 2 Background on nominal techniques 10 2.1 Basicdefinitions............................. 10 arXiv:1305.5968v3 [cs.LO] 6 Oct 2016 2.2 Examples ................................ 12 2.2.1 Atomsandbooleans . 12 2.2.2 Cartesianproduct. 12 2.2.3 Tensorproduct . .... .... .... ... .... .... 13 2.2.4 Fullfunctionspace . 13 2.2.5 Small-supportedfunctionspace . 13 2.2.6 Fullpowerset .......................... 13 2.3 The principleof equivarianceand the NEW quantifier . ..... 14 2.4 Twolemmas................................ 17 URL: www.gabbay.org.uk (Murdoch J. Gabbay) 2.5 Furtherexamples ............................. 17 2.5.1 Small-supportedpowerset . 18 2.5.2 Strictlysmall-supportedpowerset . 18 2.6 TheNEW-quantifierfornominalsets. 19 I Nominal distributive lattices with quantification 20 3 Nominal algebras over nominal sets 20 3.1 Definition of a sigma-algebra (σ-algebra) ............... 20 3.1.1 A termlike σ-algebra ...................... 20 3.1.2 A σ-algebra...........................
    [Show full text]