DOCSLIB.ORG

Monotone Co-Design Problems; Or, Everything Is the Same

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Monotone Co-Design Problems; Or, Everything Is the Same Monotone Co-Design Problems; or, Everything is the Same Andrea Censi Abstract— This paper describes a theory of co-design. The better computation (which increases the power consumption). objects of investigation are “design problems”, defined as tuples In practice, practitioners decouple problems based on their of “function space”, “implementation space”, and “resources intuition, and then locally refine the designs. space”, along with the relations that relates implementation to function and implementation to resource usage. “Co-design Contribution: This paper describes a theory to deal with problems” are defined as the composition of design problems by co-design problems in a principled way. three operations, roughly equivalent to the concepts of series, A “design problem” is defined as a tuple of “function parallel, and feedback. “Monotone” design problems are those space”, “implementation space”, and a “resources space”, plus for which functions are partially ordered and there is an order- the two maps that relate implementations to functions and preserving map between functions and resources. The main results is that any composition of monotone co-design problem implementation to resources. A design problem defines a is monotone, and that there exists a systematic procedure to set of optimization problems, equivalent to “find the minimal obtain the solution to the composed problem explicitly from the resources needed to implement a given function”. A “co-design solution of the primitive problems. problem” is the composition of design problems using three I. INTRODUCTION operations, equivalent to “series”, “parallel”, and “feedback”, which allows expressing recursive co-design constraints. The title of this paper is inspired by that of a course called “Monotone design problems” are those where both function Everything is the Same: Modeling Engineered Systems taught space and resources space are partially ordered, and that the by Todd Murphey from Northwestern University [1]. The relation between function implemented and resources needed premise of the class is the “systems view” that allows the is monotone (order-preserving). The first main result in this unified modeling of all components of a complex system under paper (Theorem 1) is that the interconnection of any number the same interface, namely differential equations. Formalisms of monotone design problems is still monotone. The second such as bond graphs [2] make it clear that there is a strong main result (Theorem 2) is that if we have a procedure to solve formal equivalence of many heterogenous systems. the primitive design problems, then there exists a systematic So “everything in the same” in the analysis of a system. procedure to solve any co-design problem defined from them. Yet “everything is different” in the design of a system. This paper is a generalization of previous work [3], where Take robotics as the prototypical example of an hetero- the composition was limited to one cycle. The previous paper geneous multi-domain co-design problem. The design of a is a good introduction to this one. The main example in robotic system involves the choice of physical components, this paper focuses on a mechatronic system, while [3] gives such as the actuators, the sensors, the power supply, the examples about computation, control, and illusionism. computing units, and network links if the system is distributed. Not less important is the choice of the software components, II. BACKGROUND including perception, planning, and control modules. All these components define constraints on each other. Each This section includes background material on partial orders physical component has SWAP characteristics such as its and clarifies the notation used. Davey and Priestley [4] and shape (which must contained somewhere), the weight (which Roman [5] are possible reference texts. adds to the payload), and power (which needs to be provided In the following, let ; P be a poset. “ P ” will be written as “ ” if the contexthP is clear.i Let P( ) be the power by something else) and excess heat (which must be dissipated P somehow). Analogously, the software components have similar set of . We shall be working with the set of antichains of , denotedP here as A , and the set of upper sets, denoted U P. requirements. For example, a planner needs a state estimate. P P An estimator provides a state estimate, and requires a sensor. Definition 1 (Antichains). S is an antichain if no Everything costs money to buy or develop or license. elements are comparable: for x;⊆ y PS, x y implies x = y. 2 What makes the design problem non trivial is that these Call A the set of all antichains in . constraints are recursive. For example, a battery provides P P power, which is used by actuators to carry the payload. A Definition 2 (Upper sets). S is an upper set if x S ⊆ P 2 larger battery provides more power, but it also increases the and x y implies y S. Call U the set of upper sets of . 2 P P payload, so more power is needed. For control, typically a : : : U is a lattice with UP = , UP = ; UP = , better state estimate saves energy in the execution, but requires P : : ⊇ ? ; > : P UP = , UP = . Note that we are setting UP = better sensors (which increase the cost and the payload) or ^ [ _ : \ ⊇ rather than UP = , which is the usual way of making U ⊆ P Andrea Censi <[email protected]> is with the Laboratory for Information and a lattice. This will make some things easier later, as we will Decision Systems (LIDS) at the Massachusetts Institute of Technology. deal with monotone maps, rather than antitone maps. Two operators that are needed later are the upper closure Definition 7 (Directed set). A set S is directed if each operator , which maps any set to an upper set, and the Min pair of elements in S has an upper bound.⊆ P In other words, for operator" that maps any set to an antichain. all a; b S, there exists c S such that a c and b c. 2 2 Definition 3 (Upper closure). maps a subset to the smallest Definition 8. A poset is a directed complete partial order upper set that includes it: " (DCPO) if each of its directed subsets has a supremum (least of upper bounds). It is a complete partial order (CPO) if it : P( ) U ; " P ! P also has a bottom element . S y x S : x y : ? 7! f 2 P j 9 2 g Definition 9 (Scott continuity). A map f between two DCPOs and is called Scott-continuous if for each Definition 4 (Minimal elements). The minimal elements P Q of S are directed subset D , the image f(D) is directed, ⊆ P and f(sup D) = sup⊆f P(D). Scott-continuity⊆ implies Q mono- : Min S = x S (y S) (y x) (x = y) : tonicity (Def. 6). f 2 j 2 ^ ) g III. DESIGN PROBLEMS Note that Min refers to the minimal elements (elements that are not dominated), while “min” is the least element The basic objects considered in this paper are design prob- (an element that dominates all others). If min S exists, then lems. The following is the definition of a simple (“atomic”) Min S = min S . However, Min S = does not imply design problem; the next sections shows how design problems min S exists.f g 6 ; can be composed together. In general, all antichains are the minimal elements of an Definition 10. A design problem is a tuple upper set. In fact, for any antichain A A , A = Min A. 2 P " dp = F; R; I; exec; eval However, it is not true, in general, that each upper set U h i is generated by its minimal elements, as in U = Min U. where (Fig. 2): Take as a counterexample the poset [0; 1]; and the" upper • F is a set, called “function space”; set U = (0; 1]. Then U has no minimalh elements:≤i Min U = . • R is a poset, called “resources space”; A sufficient condition for antichains and upper set to be in; a 21 • I is a set, called “implementation space”; 1-to-1 correspondence is the following. • the map exec: I F, mnemonics for “execution”, maps ! Definition 5. A poset satisfies the descending chain condition an implementation to the function it realizes; (DCC) if there is no infinite descending chain x x • the map eval: I R, mnemonics for “evaluation”, evalu- 0 1 ! x ::: that does not stabilize; xn = xn for some finite n. ates the resources needed for an implementation. 2 +1 The set of all design problems is called DP. 21 One can verify thefunctions poset [0; 1];implementationsdoes not satisfyresources the DCC by considering the infiniteh descending≤i chain 1 1=2 ≥ ≥ 1=3 1=4 1=n ::: for n N. ≥ ≥ · · · ≥ ≥ 2 Fig. 2. Lemma 1. If the DCC is satisfied, and the axiom of dependent choice is assumed true, there is a 1-to-1 correspondence functions implementations resources between the set of upper sets U and the antichains A P P A design problem defines a family of optimization problems, given by and Min (Fig. 1). " functions implementations resourcesparametrized by the desired function f. Proof. See [6] for a proof and a counterexample that shows Problem 1. Given f F, find the implementations in I that the axiom of dependent choice is necessary. realize the function f2with minimal resources (or provide a proof that therefunctions are none):implementations resources 8 A = Min U U = A >using i I; Fig. 1. A U ↑ < 2 MinR eval(i); (1) > A = Min U :s.t. exec(i)U ==f:A A U ↑ Lemma 2. It follows that A is a lattice with AP given by Note the use of “Min ” in (1), which indicates the set P R of minimal (non-dominated) elements.
Load more

Recommended publications
  • 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.
    [Show full text]
  • Topological Duality and Lattice Expansions Part I: a Topological Construction of Canonical Extensions
    TOPOLOGICAL DUALITY AND LATTICE EXPANSIONS PART I: A TOPOLOGICAL CONSTRUCTION OF CANONICAL EXTENSIONS M. ANDREW MOSHIER AND PETER JIPSEN 1. INTRODUCTION The two main objectives of this paper are (a) to prove topological duality theorems for semilattices and bounded lattices, and (b) to show that the topological duality from (a) provides a construction of canonical extensions of bounded lattices. The paper is first of two parts. The main objective of the sequel is to establish a characterization of lattice expansions, i.e., lattices with additional operations, in the topological setting built in this paper. Regarding objective (a), consider the following simple question: Is there a subcategory of Top that is dually equivalent to Lat? Here, Top is the category of topological spaces and continuous maps and Lat is the category of bounded lattices and lattice homomorphisms. To date, the question has been answered positively either by specializing Lat or by generalizing Top. The earliest examples are of the former sort. Tarski [Tar29] (treated in English, e.g., in [BD74]) showed that every complete atomic Boolean lattice is represented by a powerset. Taking some historical license, we can say this result shows that the category of complete atomic Boolean lattices with complete lat- tice homomorphisms is dually equivalent to the category of discrete topological spaces. Birkhoff [Bir37] showed that every finite distributive lattice is represented by the lower sets of a finite partial order. Again, we can now say that this shows that the category of finite distributive lattices is dually equivalent to the category of finite T0 spaces and con- tinuous maps.
    [Show full text]
  • T0 Topological Spaces and T0 Posets in the Topos of M-Sets
    Theory and Applications of Categories, Vol. 33, No. 34, 2018, pp. 1059{1071. T0 TOPOLOGICAL SPACES AND T0 POSETS IN THE TOPOS OF M-SETS M.M. EBRAHIMI, M. MAHMOUDI, AND A.H. NEJAH Abstract. In this paper, we introduce the concept of a topological space in the topos M-Set of M-sets, for a monoid M. We do this by replacing the notion of open \subset" by open \subobject" in the definition of a topology. We prove that the resulting category has an open subobject classifier, which is the counterpart of the Sierpinski space in this topos. We also study the relation between the given notion of topology and the notion of a poset in this universe. In fact, the counterpart of the specialization pre-order is given for topological spaces in M-Set, and it is shown that, similar to the classic case, for a special kind of topological spaces in M-Set, namely T0 ones, it is a partial order. Furthermore, we obtain the universal T0 space, and give the adjunction between topological spaces and T0 posets, in M-Set. 1. Introduction Topoi are categories which behave like the category Set, of sets and functions between them. Naturally one tries to reconstruct the classical mathematics in such categories. The difference between classical mathematics and topos base mathematics is that the latter is in some sense constructive. In fact, the internal logic of a topos is intuitionistic, and so topoi provide a convenient set up for constructive mathematics. One of the most important features of constructive mathematics is in computer science and semantic of programing languages.
    [Show full text]
  • Z-Continuous Posets
    DISCRETE MATHEMATICS ELSEVIERI Discrete Mathematics 152 (1996) 33-45 Z-continuous posets Andrei Baranga Department ofMathematics, University ofBucharest, Str. Academiei 14, 70109, Bucharest, Romania Received 19 July 1994 Abstract The concept of 'subset system on the category Po of posets (Z-sets) was defined by Wright, Wagner and Thatcher in 1978. The term Z-set becomes meaningful if we replace Z by 'directed', 'chain', 'finite'. At the end of the paper (Wright et al. 1978), the authors suggested an attempt to study the generalized counterpart of the term 'continuous poset (lattice)' obtained by replacing directed sets by Z-sets, Z being an arbitary subset system on Po. We present here some results concerning this investigation. These results are generalized counterparts of some purely order theoretical facts about continuous posets. Keywords: Poset; Subset system; Z-set; Continuous poset; Continuous lattice; Algebraic poset; Algebraic lattice; Moore family; Closure operator; Ideal; Z-inductive poset Introduction The concept of 'subset system on the category Po of posets' (Z-sets) was defined by Wright et al. in [12]. The term Z-set becomes meaningful if we replace Z by 'directed', 'chain', 'finite', etc. On the other hand, the concept of continuous lattice was defined by Scott in [9] in a topological manner as a mathematical tool in computation theory (see [10, 11]) although it has appeared in other fields of mathematics as well, such as general topology, analysis, algebra, category theory, logic and topological algebra (see [4]), This concept was defined later in purely order theoretical terms (see [8]) and now this definition has became the one used in almost all references.
    [Show full text]
  • Arxiv:1508.05446V2 [Math.CO] 27 Sep 2018 02,5B5 16E10
    CELL COMPLEXES, POSET TOPOLOGY AND THE REPRESENTATION THEORY OF ALGEBRAS ARISING IN ALGEBRAIC COMBINATORICS AND DISCRETE GEOMETRY STUART MARGOLIS, FRANCO SALIOLA, AND BENJAMIN STEINBERG Abstract. In recent years it has been noted that a number of combi- natorial structures such as real and complex hyperplane arrangements, interval greedoids, matroids and oriented matroids have the structure of a finite monoid called a left regular band. Random walks on the monoid model a number of interesting Markov chains such as the Tsetlin library and riffle shuffle. The representation theory of left regular bands then comes into play and has had a major influence on both the combinatorics and the probability theory associated to such structures. In a recent pa- per, the authors established a close connection between algebraic and combinatorial invariants of a left regular band by showing that certain homological invariants of the algebra of a left regular band coincide with the cohomology of order complexes of posets naturally associated to the left regular band. The purpose of the present monograph is to further develop and deepen the connection between left regular bands and poset topology. This allows us to compute finite projective resolutions of all simple mod- ules of unital left regular band algebras over fields and much more. In the process, we are led to define the class of CW left regular bands as the class of left regular bands whose associated posets are the face posets of regular CW complexes. Most of the examples that have arisen in the literature belong to this class. A new and important class of ex- amples is a left regular band structure on the face poset of a CAT(0) cube complex.
    [Show full text]
  • Complete Topologized Posets and Semilattices
    COMPLETE TOPOLOGIZED POSETS AND SEMILATTICES TARAS BANAKH, SERHII BARDYLA Abstract. In this paper we discuss the notion of completeness of topologized posets and survey some recent results on closedness properties of complete topologized semilattices. 1. Introduction In this paper we discuss a notion of completeness for topologized posets and semilattices. By a poset we understand a set X endowed with a partial order ≤. A topologized poset is a poset endowed with a topology. A topologized poset X is defined to be complete if each non-empty chain C in X has inf C ∈ C¯ and sup C ∈ C¯, where C¯ stands for the closure of C in X. More details on this definition can be found in Section 2, where we prove that complete topologized posets can be equivalently defined using directed sets instead of chains. In Section 4 we study the interplay between complete and chain-compact topologized posets and in Section 5 we study complete topologized semilattices. In Section 6 we survey some known results on the absolute closedness of complete semitopological semilattices and in Section 7 we survey recent results on the closedness of the partial order in complete semitopological semilattices. 2. The completeness of topologized posets In this section we define the notion of a complete topologized poset, which is a topological counterpart of the standard notion of a complete poset, see [10]. First we recall some concepts and notations from the theory of partially ordered sets. A subset C of a poset (X, ≤) is called a chain if any two points x,y ∈ X are comparable in the partial order of X.
    [Show full text]
  • A Topology on Lattice-Ordered Groups
    Available online at www.isr-publications.com/jnsa J. Nonlinear Sci. Appl., 11 (2018), 701–712 Research Article Journal Homepage: www.isr-publications.com/jnsa A topology on lattice-ordered groups Huanrong Wu, Qingguo Li∗, Bin Yu College of Mathematics and Econometrics, Hunan University, Changsha 410082, China. Communicated by M. Bohner Abstract We introduce the concept of the strong-positive cone in a lattice-ordered group (G, 6, ·) and define the continuous lattice- ordered group. We also investigate the C-topology and bi-C-topology given on a lattice-ordered group. The main results obtained in this paper are as follows: (1) (G, 6, ·) is a continuous lattice-ordered group if and only if (G, 6) is a continuous poset; (2) for the bi-C-topology τ in a continuous lattice-ordered group (G, 6, ·), (G, ·, τ) is a topological group and (G, 6, τ) is a topological lattice. Keywords: Lattice-ordered group, continuous, topology, topological group, topological lattice. 2010 MSC: 06F15, 06B35, 54H11. c 2018 All rights reserved. 1. Introduction Lattice-ordered groups (also called l-groups) are an important class of partially ordered algebraic systems. The study of l-groups was initiated by Birkhoff [9, 12] and followed by many other researchers [6, 16, 24]. The monographs [10, 15] gave a systematic account of the basic theory of l-groups. Recently, l-groups have cropped up in many other areas of mathematics, for instance, in the theory of bezout´ domains [36, 37], ordered fields [7, 15], category theory [11], topology theory [5,8, 21] and others [22]. In the 1960s, Scott introduced domain theory [31], aiming to provide mathematical models for com- puter program languages.
    [Show full text]
  • L-Fuzzy Scott Topology and Scott Convergence of Stratified L-Filters
    Electronic Notes in Theoretical Computer Science 257 (2009) 135–152 www.elsevier.com/locate/entcs View metadata, citation and similar papers at core.ac.uk brought to you by CORE L-fuzzy Scott Topology and Scottprovided by Elsevier Convergence - Publisher Connector of Stratified L-filters on Fuzzy Dcpos 1 Wei Yao2 Department of Mathematics Hebei University of Science and Technology Shijiazhuang 050018, China Abstract On a fuzzy dcpo with a frame L as its valued lattice, we define an L-fuzzy Scott topology by means of graded convergence of stratified L-filters. It is a fuzzy counterpart of the classical Scott topology on a crisp dcpo. The properties of L-fuzzy Scott topology are investigated. We establish Scott convergence theory of stratified L-filters. We show that for an L-set, its degree of Scott openness equals to the degree of Scott continuity from the underlying fuzzy dcpo to the lattice L (also being viewed as a fuzzy poset). We also show that a fuzzy dcpo is continuous iff for any stratified L-filter, Scott convergence coincides with topological convergence (w.r.t. the L-fuzzy Scott topology). Keywords: fuzzy dcpo, stratified L-filter, L-fuzzy Scott topology, Scott convergence, topological convergence. 1 Introduction Domain Theory, a formal basis for the semantics of programming languages, originates in work by D. Scott [17,18] in the mid-1960s. Domain models for var- ious types of programming languages, including imperative, functional, non- deterministic and probabilistic languages, have been extensively studied. Quantitative Domain Theory that provides a model of concurrent systems forms a new branch of Domain Theory and has undergone active research in the past three decades.
    [Show full text]
  • Fast and Exact Analysis for LRU Caches∗†
    Fast and exact analysis for LRU caches∗y Valentin Touzeau, Claire Ma¨ıza,and David Monniaux Univ. Grenoble Alpes, CNRS, Grenoble INP,z VERIMAG, 38000 Grenoble, France Jan Reineke Saarland University, Saarbr¨ucken, Germany August 4, 2021 Abstract For applications in worst-case execution time analysis and in security, it is desirable to statically classify memory accesses into those that result in cache hits, and those that result in cache misses. Among cache replace- ment policies, the least recently used (LRU) policy has been studied the most and is considered to be the most predictable. The state-of-the-art in LRU cache analysis presents a tradeoff between precision and analysis efficiency: The classical approach to analyzing pro- grams running on LRU caches, an abstract interpretation based on a range abstraction, is very fast but can be imprecise. An exact analysis was re- cently presented, but, as a last resort, it calls a model checker, which is expensive. In this paper, we develop an analysis based on abstract interpretation that comes close to the efficiency of the classical approach, while achieving exact classification of all memory accesses as the model-checking approach. Compared with the model-checking approach we observe speedups of sev- eral orders of magnitude. As a secondary contribution we show that LRU arXiv:1811.01670v2 [cs.PL] 20 Dec 2018 cache analysis problems are in general NP-complete. ∗This work was partially supported by the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement nr. 306595 \STATOR", and by the Deutsche Forschungsgemeinschaft as part of the project PEP: Pre- cise and Efficient Prediction of Good Worst-case Performance for Contemporary and Future Architectures.
    [Show full text]
  • On the Lattice of Antichains of Finite Intervals
    On the lattice of antichains of finite intervals Paolo Boldi∗ Sebastiano Vignay Abstract Motivated by applications to information retrieval, we study the lattice of antichains of finite intervals of a locally finite, totally ordered set. Intervals are ordered by reverse inclusion; the order between antichains is induced by the lower set they generate. We discuss in general properties of such antichain completions; in particular, their connec- tion with Alexandrov completions. We prove the existence of a unique, irredundant ^-representation by ^-irreducible elements, which makes it possible to write the relative pseudo-complement in closed form. We also discuss in detail properties of additional interesting operators used in information retrieval. Finally, we give a formula for the rank of an element and for the height of the lattice. 1 Introduction Modern information-retrieval systems, such as web search engines, rely on different models to compute the answer to a query. The simplest one is the Boolean model, in which operators are just conjunction, disjunction and negation, and the answer is just “relevant” or “not relevant”. A richer model is given by minimal-interval semantics [4], which uses antichains (w.r.t. inclusion) of intervals (i.e., textual passages in the document) to represent the answer to a query; this is a very natural framework in which operators such as ordered conjunction, proximity restriction, etc., can be defined and combined freely. Each interval in the text of a document is a witness of the satisfiability of the query, that is, it represents a region of the document that satisfies the query. Words in the document are numbered (starting from 0), so regions of text are identified with integer intervals, that is, sets of consecutive natural numbers.
    [Show full text]
  • On Fuzzy Orders and Metrics Vinayak E
    The Bulletin of Society for Mathematical Services and Standards Online: 2014-06-02 ISSN: 2277-8020, Vol. 10, pp 48-52 doi:10.18052/www.scipress.com/BSMaSS.10.48 CC BY 4.0. Published by SciPress Ltd, Switzerland, 2014 On Fuzzy Orders and Metrics Vinayak E. Nikumbh P.V.P.College, Pravaranagar Keywords: fixed point,fuzzy orders,quasi metrics Abstract: In this paper we present results regarding fixed point theory using notion of fuzzy orders.We propose an approach based on quasi metrics which in a way unifies the fixed point theory for ordered sets and metric spaces. 1. Introduction: Much mathematical effort is expanded on solving fixed point equations i.e.equations of the form where is a map. A solution of such fixed point equations,when one exists,often has to be obtained by process of successive approximations.Order theory plays a role when X carries an order and when solution can be realized as joint of elements which approximates it. At some instances we find that fixed point theorems for ordered sets appear to be insufficient . In such cases , it is helpful to apply fixed point techniques in metric spaces. In this paper give some results in this direction. By using the notion of quasi metric spaces we prove a theorem simultaneously generalizing fixed point theorems for ordered structures and metric spaces.All results are interpreted in terms of fuzzy set theory. 2. Preliminaries: We recall some basic notions, is a complete completely distributive lattice. Definition 2.1 Let X be a nonempty set,a fuzzy subset of X is a function :XI.
    [Show full text]
  • The Fixed Point Property of Non-Retractable Topological Spaces
    mathematics Article The Fixed Point Property of Non-Retractable Topological Spaces Jeong Min Kang 1, Sang-Eon Han 2,* and Sik Lee 3 1 Mathematics, School of Liberal, Arts Education, University of Seoul, Seoul 02504, Korea; [email protected] 2 Department of Mathematics Education, Institute of Pure and Applied Mathematics, Chonbuk National University, Jeonju-City Jeonbuk 54896, Korea 3 Department of Mathematics Education, Chonnam National University, Gwangju 500-757, Korea; [email protected] * Correspondence: [email protected]; Tel.: +82-63-270-4449 Received: 2 September 2019; Accepted: 16 September 2019; Published: 21 September 2019 Abstract: Unlike the study of the fixed point property (FPP, for brevity) of retractable topological spaces, the research of the FPP of non-retractable topological spaces remains. The present paper deals with the issue. Based on order-theoretic foundations and fixed point theory for Khalimsky (K-, for short) topological spaces, the present paper studies the product property of the FPP for K-topological spaces. Furthermore, the paper investigates the FPP of various types of connected K-topological spaces such as non-K-retractable spaces and some points deleted K-topological (finite) planes, and so on. To be specific, after proving that not every one point deleted subspace of a finite K-topological plane X is a K-retract of X, we study the FPP of a non-retractable topological space Y, such as one point deleted space Y n fpg. Keywords: Khalimsky topology; K-retraction; non-K-retractable space; fixed point property MSC: 06A06; 54A10; 54C05; 55R15; 54C08; 54F65 1. Introduction To make the paper self-contained, we recall that a mathematical object X has the FPP if every well-behaved mapping f from X to itself has a point x 2 X such that f (x) = x.
    [Show full text]