Convergence in Neighbourhood Lattices

Total Page:16

File Type:pdf, Size:1020Kb

Convergence in Neighbourhood Lattices BULL. AUSTRAL. MATH. SOC. 54AO5, 06A99, 06B99, 54C60 VOL. 40 (1989) [129-145] CONVERGENCE IN NEIGHBOURHOOD LATTICES FRANK P. PROKOP A consideration of the separation properties of pre-neighbourhood lattices, leads to the definition and characterisation of T\ -neighbourhood lattices in terms of the properties of the neighbourhood mapping, independently of points. It is then shown that if net conver- gence is defined in neighbourhood lattices as a consequence of replacing 'point' by 'set' in topological convergence, then the limits of convergent nets are unique. The relation- ship between continuity and convergence is established with the proof of the statement that a residuated function between conditionally complete 1\-neighbourhood lattices is continuous if and only if it preserves the limit of convergent nets. If V(X) denotes the power set of X, then the observation that a filter in a topological space (X, T) is a net in V(X) leads to a discussion of the net convergence of a filter as a special case of net convergence. Particular attention is paid to maximal filters, Frechet filters and to the filter generated by the limit elements of a net. Further, if the 'filter' convergence of a filter F in a topological space (X, T) is given by F —* x, if tj(x) C F, then the relationship between 'filter' convergence and the net convergence of a filter in V(X) is established. Finally, it is proved that, in the neighbourhood system 'lifted' from a topological space to TCP(X)), the continuous image of a filter which converges to a singleton set is a convergent filter with the appropriate image set as the limit. 1. INTRODUCTION Neighbourhood lattices were shown in [20] to have the appropriate structure for generalising the non-convergence aspects of topological spaces. This paper will show that not only can convergence be defined in neighbourhood lattices, but also that limits of convergent nets are unique and that a residuated function between conditionally complete T] -neighbourhood lattices is continuous if and only if it preserves the limit of convergent nets. Further, we will show that in conditionally complete Xi-lattices there is a unified theory of convergence, which encompasses both nets and filters. We will make use of the following notation and conventions: If L is an orthocomplemented lattice, then ' will be used to denote complementation; I will be used to denote an arbitrary indexing set; if P is a poset, V and A will represent the operations of sup and inf; while U and fl will be used to denote cue set theoretic operations of union and intersection, V xa will be used to represent. crGI \/{xa | a G I}, with similar abbreviations used for /\ xa, |J Aa, and f) Aa; 1 aG! agl eg! will represent the greatest element of P and 0 will represent the least element of P; Received 20 October 1988 Copyright Clearance Centre, Inc. Serial-fee code: 0004-9729/89 SA2.00+0.00. 129 Downloaded from https://www.cambridge.org/core. IP address: 170.106.40.139, on 26 Sep 2021 at 02:31:17, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0004972700003580 130 F. P. Prokop [2] T(P) = {F | F is a filter of P}; I(P) = {I | / is an ideal of P}; if x 6 P, then [a;) = {j/ I 3/ G P&y ^ i} and (x\ = {y \ y G P&y ^ x}. In addition, the following definitions, which are discussed fully in [20], will be used. If P is an A-semi-lattice, then a function rj: P —» !F(P) is a filter mapping. If 77 is a filter mapping on P, then g G P is neighbourhood open (or simply open) if 77(5) = \g). Further, if 77 is a filter mapping on P, we will let G = {g \ g G P hrj{g) — [g)}. A filter mapping 77 is a pre-neighbourhood mapping if (Vz, < € P){t G 77(3) <3> (3$r G G)(x < 5 ^ t)). A filter mapping 77 is a neighbourhood mapping if i) G is a V-semi-complete sublattice of L, andii) 0el=j. 77(0) = [0). If (X, T) is a topological space, then 77: V(X) -» .F(7>(X)) defined by 77(^4) = {N: (3<7 € T")(-4 C g C iV)} is the induced neighbourhood mapping on "P(X) and the pair (V(X), 77) is the induced neighbourhood lattice of (X, T). Finally, if X and Y are sets and /: X —•• Y is a function, then the direct image function, /»: T(X) —* V(Y) is given by f*(A) = {/(a) | a G .4}, and the inverse image function, /*: T(Y) -• V(X) is given by f*(B) = {x | x 6 X k f{x) € B}. The proofs of those Lemmas wliich are straight forward computations and wliich follow directly from the corresponding definitions will be omitted. 2. To AND Ti NEIGHBOURHOOD LATTICES We have shown in [20] the specific way in which the neighbourhoods of a set in a topological space are determined by the neighbourhoods of its points. This leads to the question: "To what extent are the separation properties 'inherited' by the induced neighbourhood mapping?" We will begin this section by noting that a topological space (X, T) is a TVspace if and only if the induced neighbourhood mapping, 77, restricted to the points of V(X), is one to one. Hence, being a To-space is properly a property of 'points'. Thus, we have DEFINITION 1: An atomic pre-neighbourhood lattice (L, 77) is a To-lattice if 77, restricted to the atoms of L, is one to one. We will now examine how Tj -topological spaces can be characterised in terms of the properties of the induced neighbourhood mapping 77. We begin by looking at the proof of the standard topological statement that a topological space is T\ if and only if the neighbourhood mapping is one to one. Result 2. Let (X, T) be a topological space, and (V(X), 77) be the induced neigh- bourhood lattice. Then (X, T) is a Tj -space *> 77 is a one to one function. PROOF: Let (X, T) be a Tj-space and let A, B £ V(X). Then A £ B =*• (3a € A)(a £ B) => {a}' £ v(A) => v(A) ^ l{B). Conversely, suppose 77 is 1 - 1 on 1 V(X), and x G X. {*}' ^ X => v({x}') ¥= i(X)- Thus, V{{x}') = {{x}') and {x} is open. u Downloaded from https://www.cambridge.org/core. IP address: 170.106.40.139, on 26 Sep 2021 at 02:31:17, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0004972700003580 [3] Convergence in neighbourhood lattices 131 It is clear that a Tb-space is not a Ti-space if and only if there exists A, B £ V(X), A ^ B, for which v(A) = f){B). Further, being a Tj-space is not a point dependent property. Finally, the proof of Result 2 uses only the pre-neighbourhood properties of V- Thus, we can define a T\ -pre-neighbourhood lattice. DEFINITION 3: A pre-neighbourhood lattice (L, 77) is a Ti-lattice if 77: L -+ T(L) is a one to one function. We will now give an alternative characterisation of Ti-lattices. THEOREM 4. Let (L, 77) be a conditionally complete pre-neighbourhood lattice. Then (L, 77) is a Ti-Iattice «• (Va £ L) I /\ x - a 1 . \*e«»(«) ) PROOF: X £ 77(0) => a ^ x. Thus, /\ x exists in L and /\ x ^ a. Let L *e»((o) *e»Ka) be a Tj-lattice, and let b = /\ x. If 6 > o, then 77(0) D 77(6) (proper). But, g an *€»»(«) open element and g £ t](a) => b ^ gr =j- <j (= 77(6). A contradiction. Conversely, a ^ b and 77(0) = 77(6) => /\ K= /\ j/=>a = 6.A contradiction. U It follows from Theorem 4 that (L, 77) is a Ti-lattice «• (Vo £ X) I /\ ff = a I . \9e»)(a)nG I We can now state as a corollary to Theorem 4, a standard equivalent condition for a topological space to be a Tj-space. The "usual" topological proof of this result uses complementation and the fact that points are closed in a Tj-space. We have shown that the proof depends only on the conditional completeness of V(X), and on the pre-neighbourhood and one to one properties of 77. COROLLARY 4.1. Let (X, T) be a topological space, and let (V(X), 77) be the induced neighbourhood lattice. Then (X, T) is a Tt-space <£> (VJI G V(X)) A= )• PROOF: (X, T) is a Ti -space <» {V{X), 77) is a Tx -lattice. D We will now show that in a T\ -lattice the order relation on pre-neighbourhood images must reflect the order relation in the lattice. THEOREM 5. Let (£, 77) be a conditionally complete pre-neighbourhood lattice. Then {L, 77) is a ^-lattice O (Vo, b £ L)(r)(a) C 77(6) => b < a). PROOF: Let (I, n) be a Tj-lattice, and 77(0) C 77(6). x £ 77(0) => (3g £ 77(0) n G) Downloaded from https://www.cambridge.org/core. IP address: 170.106.40.139, on 26 Sep 2021 at 02:31:17, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S0004972700003580 132 F. P. Prokop [4] (a < 9 ^ x). But, g € r)(b) =*> b < x.
Recommended publications
  • Conjugate Convex Functions in Topological Vector Spaces
    Matematisk-fysiske Meddelelser udgivet af Det Kongelige Danske Videnskabernes Selskab Bind 34, nr. 2 Mat. Fys. Medd . Dan. Vid. Selsk. 34, no. 2 (1964) CONJUGATE CONVEX FUNCTIONS IN TOPOLOGICAL VECTOR SPACES BY ARNE BRØNDSTE D København 1964 Kommissionær : Ejnar Munksgaard Synopsis Continuing investigations by W. L . JONES (Thesis, Columbia University , 1960), the theory of conjugate convex functions in finite-dimensional Euclidea n spaces, as developed by W. FENCHEL (Canadian J . Math . 1 (1949) and Lecture No- tes, Princeton University, 1953), is generalized to functions in locally convex to- pological vector spaces . PRINTP_ll IN DENMARK BIANCO LUNOS BOGTRYKKERI A-S Introduction The purpose of the present paper is to generalize the theory of conjugat e convex functions in finite-dimensional Euclidean spaces, as initiated b y Z . BIRNBAUM and W. ORLICz [1] and S . MANDELBROJT [8] and developed by W. FENCHEL [3], [4] (cf. also S. KARLIN [6]), to infinite-dimensional spaces . To a certain extent this has been done previously by W . L . JONES in his Thesis [5] . His principal results concerning the conjugates of real function s in topological vector spaces have been included here with some improve- ments and simplified proofs (Section 3). After the present paper had bee n written, the author ' s attention was called to papers by J . J . MOREAU [9], [10] , [11] in which, by a different approach and independently of JONES, result s equivalent to many of those contained in this paper (Sections 3 and 4) are obtained. Section 1 contains a summary, based on [7], of notions and results fro m the theory of topological vector spaces applied in the following .
    [Show full text]
  • On L−Generalized Filters and Nets
    Annals of Fuzzy Mathematics and Informatics Volume x, No. x, (Month 201y), pp. 1{xx @FMI ISSN: 2093{9310 (print version) c Kyung Moon Sa Co. ISSN: 2287{6235 (electronic version) http://www.kyungmoon.com http://www.afmi.or.kr On L−generalized filters and nets G. A. Kamel Received 13 March 2017; Revised 20 April 2017; Accepted 5 May 2017 Abstract. In this paper, we consider the L−generalized filters and L−generalized nets on the non empty universal set X to be a natural generalization of the crisp generalized filters and the crisp generalized nets respectively. In each the crisp and L−generalized cases, the extended and restricted filters (nets) will be obtained respectively. The construction of convergence to limit points of the crisp generalized and L−generalized filters (nets) will be studied respectively. We also show that any crisp generalized net on the set X associates a unique L−generalized net on X; and in general the converse is not true. In addition to that we also show that for any given L−generalized filter there exists the L−generalized net, and the vice-versa is true. Finally, the relations between the convergence of the L−generalized filters and the L−generalized nets will be outlined. Moreover, to support these concepts and relations, the construction of some examples in all sections of paper will be studied. 2010 AMS Classification: 54A40 Keywords: Generalized filter, Generalized nets, L−generalized filter, L−generalized nets, Neighbourhoods generalized filter systems. Corresponding Author: G. A. Kamel ([email protected]) 1. Introduction Zadeh in his famous paper [23] introduced the concept of a fuzzy set A of the non-empty universal set X as a mapping A : X −! [0; 1]: Chang in [4] had first tried to fuzzify the concept of a topology on a non-empty set X as a subfamily of [0; 1]X , satisfying the same axioms of ordinary topology.
    [Show full text]
  • Chapter 1: Bases for Topologies Contents
    MA3421 2016–17 Chapter 1: Bases for topologies Contents 1.1 Review: metric and topological spaces . .2 1.2 Review: continuity . .7 1.3 Review: limits of sequences . .8 1.4 Base for a topology . 11 1.5 Sub-bases, weak and product topologies . 14 1.6 Neighbourhood bases . 21 1 2 Chapter 1: Bases for topologies 1.1 Review: metric and topological spaces From MA2223 last year, you should know what a metric space is and what the metric topology is. Here is a quick refresher. Definition 1.1.1. Given any set X of points and a function d: X × X ! [0; 1) ⊂ R with these 3 properties: (i) d(z; w) ≥ 0 with equality if and only if z = w; (ii) d(z; w) = d(w; z); (iii) d(z; w) ≤ d(z; v) + d(v; w) (triangle inequality), we say that d is a metric on the space X and we call the combination (X; d) a metric space. Examples 1.1.2. Rn will denote the usual n-dimensional space (over R) and Cn the complex version. We define the (standard) Euclidean distance between pairs of points in Rn by v u n uX 2 d(x; y) = t (xj − yj) j=1 2 3 (abstracting the distance formula from R or R ), for x = (x1; x2; : : : ; xn) and y = (y1; y2; : : : ; yn). For n = 1, recall d(x; y) = jx − yj. n In the case on n-tuples z = (z1; z2; : : : ; zn) and w = (w1; w2; : : : ; wn) 2 C , we also define the standard distance via v u n uX 2 d(z; w) = t jzj − wjj j=1 Recall that for z = x + iy 2 C (with x; y 2 R the real and imaginary parts of z and i2 = −1) the modulus (or absolute value) of such a z is jzj = px2 + y2.
    [Show full text]
  • Topology Proceedings
    Topology Proceedings Web: http://topology.auburn.edu/tp/ Mail: Topology Proceedings Department of Mathematics & Statistics Auburn University, Alabama 36849, USA E-mail: [email protected] ISSN: 0146-4124 COPYRIGHT °c by Topology Proceedings. All rights reserved. TOPOLOGY PROCEEDINGS Volume 27, No. 2, 2003 Pages 661{673 CONNECTED URYSOHN SUBTOPOLOGIES RICHARD G. WILSON∗ Abstract. We show that each second countable Urysohn space which is not Urysohn-closed can be condensed onto a connected Urysohn space and as a corollary we charac- terize those countable Urysohn spaces which have connected Urysohn subtopologies. We also answer two questions from [12] regarding condensations onto connected Hausdorff spaces. 1. Introduction and Preliminary Results Recall that a space is Urysohn if distinct points have disjoint closed neighbourhoods and a space is feebly compact if every locally finite family of open sets is finite. During the 1960's and 70's many papers appeared in which countable connected Urysohn spaces were constructed (see for example [6],[7],[8] and [9]); such spaces were in some sense considered oddities. In a previous paper [12], we proved that each disconnected Hausdorff space with a countable network can be condensed (that is to say, there is a continuous bijection) onto a connected Hausdorff space if and only if it is not feebly compact. Here we prove an analogous result for Urysohn spaces: 2000 Mathematics Subject Classification. Primary 54D05; Secondary 54D10, 54D25. Key words and phrases. Second countable connected Urysohn space, count- able network, condensation, Urysohn family, Urysohn filter, Urysohn-closed space. ∗Research supported by Consejo Nacional de Ciencia y Tecnolog´ıa(CONA- CYT), Mexico, grant no.
    [Show full text]
  • Generalisations of Filters and Uniform Spaces
    Rhodes University Department Of Mathematics Generalisations of Filters and Uniform Spaces Murugiah Muraleetharan A thesis submitted in ful¯lment of the requirements for the Degree of Master of Science In Mathematics Abstract X X The notion of a ¯lter F 2 22 has been extended to that of a : pre¯lter F 2 2I , X X generalised ¯lter f 2 I2 and fuzzy ¯lter ' 2 II . A uniformity is a ¯lter with some X£X other conditions and the notion of a uniformity D 2 22 has been extended to that of X£X X£X a : fuzzy uniformity D 2 2I , generalised uniformity d 2 I2 and super uniformity X£X ± 2 II . We establish categorical embeddings from the category of uniform spaces into the categories of fuzzy uniform spaces, generalised uniform spaces and super uniform spaces and also categorical embeddings into the category of super uniform spaces from the categories of fuzzy uniform spaces and generalised uniform spaces. KEYWORDS: Pre¯ter, Generalised ¯lter, Fuzzy ¯lter, Fuzzy uniform space, Generalised uniform space, Super uniform space, Embedding functor and Functor isomorphim. A. M. S. SUBJECT CLASSIFICATION: 03E72, 04A20, 18A22, 54A40, 54E15. Contents 1 Fuzzy Sets 1 1.1 Introduction . 1 1.2 Crisp Subsets of X Associated With a Fuzzy Set . 3 1.3 Fuzzy Sets Induced by Maps . 6 2 Fuzzy Topology 9 2.1 De¯nitions and Fundamental Properties . 9 2.2 Fuzzy Closure Operator . 11 2.3 Continuous Functions . 12 3 Filters 14 3.1 Introduction . 14 3.2 Ultra¯lters . 15 3.3 Topological Notions in Terms of Filters .
    [Show full text]
  • A Note on I-Convergence and I⋆-Convergence Of
    MATEMATIQKI VESNIK originalni nauqni rad 67, 3 (2015), 212–221 research paper September 2015 A NOTE ON I-CONVERGENCE AND I?-CONVERGENCE OF SEQUENCES AND NETS IN TOPOLOGICAL SPACES Amar Kumar Banerjee and Apurba Banerjee Abstract. In this paper, we use the idea of I-convergence and I?-convergence of sequences and nets in a topological space to study some important topological properties. Further we derive characterization of compactness in terms of these concepts. We introduce also the idea of I-sequentially compactness and derive a few basic properties in a topological space. 1. Introduction The concept of convergence of a sequence of real numbers was extended to statistical convergence independently by H. Fast [3] and I.J. Schoenberg [15] as follows: If K is a subset of the set of all natural numbers N then natural density of the jKnj set K is defined by d(K) = limn!1 n if the limit exits [4,13] where jKnj stands for the cardinality of the set Kn = fk 2 K : k · ng. A sequence fxng of real numbers is said to be statistically convergent to ` if for every " > 0 the set K(") = fk 2 N : jxk ¡ `j ¸ "g has natural density zero [3,15]. This idea of statistical convergence of real sequence was generalized to the idea of I-convergence of real sequences [6,7] using the notion of ideal I of subsets of the set of natural numbers. Several works on I-convergence and on statistical convergence have been done in [1,2,6,7,9,12]. The idea of I-convergence of real sequences coincides with the idea of ordi- nary convergence if I is the ideal of all finite subsets of N and with the statistical convergence if I is the ideal of subsets of N of natural density zero.
    [Show full text]
  • Neighbourhood Lattices – a Poset Approach to Topological Spaces
    BULL. AUSTRAL. MATH. SOC. 54AO5, 06A99, 06B99, 54C60 VOL. 39 (1989) [31-48] NEIGHBOURHOOD LATTICES - A POSET APPROACH TO TOPOLOGICAL SPACES FRANK P. PROKOP In this paper neighbourhood lattices are developed as a generalisation of topological spaces in order to examine to what extent the concepts of "openness", "closedness", and "conti- nuity" defined in topological spaces depend on the lattice structure of V(X), the power set of X . A general pre-neighbourhood system, which satisfies the poset analogues of the neigh- bourhood system of points in a topological space, is defined on an A-semi-lattice, and is used to define open elements. Neighbourhood systems, which satisfy the poset analogues of the neighbourhood system of sets in a topological space, are introduced and it is shown that it is the conditionally complete atomistic structure of "P(X) which determines the extension of pre-neighbourhoods of points to the neighbourhoods of sets. The duals of pre-neighbourhood systems are used to generate closed elements in an arbitrary lattice, independently of closure operators or complementation. These dual systems then form the backdrop for a brief discussion of the relationship between pre- neighbourhood systems, topological closure operators, algebraic closure operators, and Cech closure operators. Continuity is defined for functions between neighbourhood lattices, and it is proved that a function f: X —* Y between topological spaces is continuous if and only if cor- responding direct image function between the neighbourhood lattices V(X) and V(Y) is continuous in the neighbourhood sense. Further, it is shown that the algebraic char- acter of continuity, that is, the non-convergence aspects, depends only on the properites of pre-neighbourhood systems.
    [Show full text]
  • Postnikov Factorizations at Infinity
    Postnikov factorizations at infinity ∗yz J. Ignacio Extremiana Aldana L. Javier Hern´andez Paricio M. Teresa Rivas Rodr´ıguez Departamento de Matem´aticas y Computaci´on Universidad de La Rioja 26004 Logrono~ Email addresses: [email protected] [email protected] [email protected] October 14, 2002 Abstract We have developed Postnikov sections for Brown-Grossman homotopy groups and for Steenrod homotopy groups in the category of exterior spaces, which is an extension of the proper category. The homotopy fibre of a fibration in the factorization associated with Brown-Grossman groups is an Eilenberg-Mac Lane exterior space for this type of groups and it has two non-trivial consecutive Steenrod homotopy groups. For a space which is first countable at infinity, one of these groups is given by the inverse limit of the homotopy groups of the neighbourhoods at infinity, the other group is isomorphic to the first derived of the inverse limit of this system of groups. In the factorization associated with Steenrod groups the homotopy fibre is an Eilenberg-Mac Lane exterior space for this type of groups and it has two non-trivial consecutive Brown-Grossman homotopy groups. We also obtain a mix factorization containing both kind previous factorizations and having homotopy fibres which are Eilenberg-Mac Lane exterior spaces for both kind of groups. Given a compact metric space embedded in the Hilbert cube, its open neighbourhoods provide the Hilbert cube the structure of an exterior space and the homotopy fibres of the factorizations above are Eilengerg-Mac Lane exterior spaces with respect to inward (or approaching) Quigley groups.
    [Show full text]
  • On the Characterization of $ M $-Metrizable Spaces
    On the characterization of M-metrizable spaces Olli Hella 27 June 2017 ABSTRACT. We introduced the concept of a metric value set (MVS) in an earlier paper [1] and developed the idea further in [2]. In this paper we study locally M-metrizable spaces and the products of M-metrizable spaces. Finally we prove a characterization of commutatively metrizable topological spaces by means of the bases of a quasiuniformity. Introduction First we recall definitions from [1] and [2]. A metric value set (MVS) is a set M with at least two elements and a binary operation + satisfying the following conditions: (M1) The operation + is associative. (M2) The operation + has a (then unique) neutral element e. Let M∗ = M\{e}. (M3) If m1 + m2 = e, then m1 = m2 = e. ∗ ∗ (M4) For every m1, m2 ∈ M there are m3 ∈ M and m4, m5 ∈ M such that m1 = m3 + m4 and m2 = m3 + m5. If the operation + is also commutative, we say that M is a commutative MVS. The operation + induces the relations E and ⊳ in M defined by setting m1 E m2 if there is m3 ∈ M such that m1 + m3 = m2 and m1 ⊳ m2 if there is ∗ m3 ∈ M such that m1 + m3 = m2. We say that M is atom-free if M is commutative and for every m ∈ M∗ there exists n ∈ M∗ such that n ⊳ m. We say that M is strictly atom-free if M is commutative and for every m ∈ M∗ there exists n ∈ M∗ such that n ⊳ m ⋪ n. A quasimetric function f is a map f: X × X M from the square of a set X to an MVS M that satisfies the following conditions:→ (f1) f(x, z) E f(x, y)+ f(y, z) for every x, y, z ∈ X (triangle inequality).
    [Show full text]
  • Topology-Final.Pdf
    1 TOPOLOGY M.A. Mathematics (Previous) PAPER-III Directorate of Distance Education Maharshi Dayanand University ROHTAK – 124 001 2 Copyright © 2003, Maharshi Dayanand University, ROHTAK All Rights Reserved. No part of this publication may be reproduced or stored in a retrieval system or trans- mitted in any form or by any means; electronic, mechanical, photocopying, recording or otherwise, without the written permission of the copyright holder. Maharshi Dayanand University ROHTAK – 124 001 Developed & Produced by EXCEL BOOKS PVT. LTD., A-45 Naraina, Phase 1, New Delhi-110028 3 Contents Chapter 1 Toplogical Spaces 5 Chapter 2 Connectedness 30 Chapter 3 Compactness and Continuous Functions 38 Chapter 4 Separation Axiom (I) and Countability Axioms 49 Chapter 5 Separation Axiom (Part II) 63 Chapter 6 Embedding and Metrization 81 Chapter 7 Product Topological Spaces 87 Chapter 8 Nets & Filters 98 Chapter 9 The Fundamental Group and Covering Spaces 118 Chapter 10 Paracompact Spaces 143 4 M.A. (Previous) TOPOLOGY Paper-III M.Marks: 100 Time: 3 Hrs. Note: Question paper will consist of three sections. Section-I consisting of one question with ten parts of 2 marks each covering whole of the syllabus shall be compulsory. From Section-II, 10 questions to be set selecting two questions from each unit. The candidate will be required to attempt any seven questions each of five marks. Section-III, five questions to be set, one from each unit. The candidate will be re- quired to attempt any three questions each of fifteen marks. Unit-I Definition and examples of topological spaces, closed sets and closure, dense subsets.
    [Show full text]
  • Arxiv:Math/0307385V1
    INVERSE LIMITS OF RINGS AND MULTIPLIER RINGS GERT K. PEDERSEN & FRANCESC PERERA Abstract. It is proved that the exchange property, the Bass stable rank and the quasi-Bass property are all preserved under surjective inverse limits. This is then applied to multiplier rings by showing that these in many cases can be obtained as inverse limits. Introduction Given a sequence (Rn) of rings with connecting morphisms (i.e. ring homomorphisms) πn : Rn → Rn−1 for all n (setting R0 = R1 and π1 = id) we define the inverse limit as the ring lim R of strings x =(x ) in R , i.e. sequences such that π (x )= x − for all n. For ←− n n Q n n n n 1 each m there is a natural morphism ρ : lim R → R (the coordinate evaluation) obtained m ←− n m by evaluating a string x = (xn) at m, and we see that πn ◦ ρn = ρn−1 for every n. The ring R = lim R has the universal property that for each coherent sequence of morphisms ←− n σn : S → Rn from a ring S (i.e. πn ◦σn = σn−1 for all n) there is a unique morphism σ : S → R such that σn = ρn ◦ σ for all n. If for each m we let S = ρ (lim R ) ⊂ R , then π (S ) = S − and lim R = lim S . m m ←− n m n n n 1 ←− n ←− n This shows that every ring which can be obtained as an inverse limit can also be obtained as an inverse limit in which each morphism πn is surjective.
    [Show full text]
  • On Neighbourhood System and Convergence of Soft Nets in Redefined Soft Topological Spaces
    International Journal of Pure and Applied Mathematics Volume 120 No. 5 2018, 1529-1545 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl.eu/hub/ Special Issue http://www.acadpubl.eu/hub/ On neighbourhood system and convergence of soft nets in redefined soft topological spaces Sanjit Dutta, Moumita Chiney and S. K. Samanta [email protected], Department of Mathematics, Visva-Bharati Santiniketan- 731235 West Bengal, India syamal [email protected] July 27, 2018 Abstract The incentive of this paper is to enhance different notions in redefined soft topological spaces. We introduce a concept of strong soft neighbourhood operator which fully characterizes the redefined soft topology. A notion of weak soft base is intro- duced and its characterizations are investigated. Finally soft nets and their convergence are defined in a redefined soft topological space and the characterizations of continuity of a soft function and soft p T property of redefined soft topological spaces are − 2 investigated in terms of soft nets. AMS Subject Classification: 03E72, 54A05, 54A40, 54D10. Key Words and Phrases: Soft sets, soft elements, soft topo- logical spaces, strong soft neighbourhood operator, weak soft base, soft net. 1 Introduction Due to the inadequacy of parameterization in fuzzy set theory Molodtsov proposed the theory of soft sets for first time in 1999. Later in 2002 1 1529 International Journal of Pure and Applied Mathematics Special Issue some operations are defined on soft sets. Since then, many researchers have developed different algebraic structures on soft sets and shown several applications (for references please see [1, 13, 6, 4, 7]).
    [Show full text]