ON PERFECT MEASURES I
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Nearly Metacompact Spaces
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Topology and its Applications 98 (1999) 191–201 Nearly metacompact spaces Elise Grabner a;∗, Gary Grabner a, Jerry E. Vaughan b a Department Mathematics, Slippery Rock University, Slippery Rock, PA 16057, USA b Department Mathematics, University of North Carolina at Greensboro, Greensboro, NC 27412, USA Received 28 May 1997; received in revised form 30 December 1997 Abstract A space X is called nearly metacompact (meta-Lindelöf) provided that if U is an open cover of X then there is a dense set D ⊆ X and an open refinement V of U that is point-finite (point-countable) on D: We show that countably compact, nearly meta-Lindelöf T3-spaces are compact. That nearly metacompact radial spaces are meta-Lindelöf. Every space can be embedded as a closed subspace of a nearly metacompact space. We give an example of a countably compact, nearly meta-Lindelöf T2-space that is not compact and a nearly metacompact T2-space which is not irreducible. 1999 Elsevier Science B.V. All rights reserved. Keywords: Metacompact; Nearly metacompact; Irreducible; Countably compact; Radial AMS classification: Primary 54D20, Secondary 54A20; 54D30 A space X is called nearly metacompact (meta-Lindelöf) provided that if U is an open cover of X then there is a dense set D ⊆ X and an open refinement V of U such that Vx DfV 2 V: x 2 V g is finite (countable) for all x 2 D. The class of nearly metacompact spaces was introduced in [8] as a device for constructing a variety of interesting examples of non orthocompact spaces. -
Integral Representation of a Linear Functional on Function Spaces
INTEGRAL REPRESENTATION OF LINEAR FUNCTIONALS ON FUNCTION SPACES MEHDI GHASEMI Abstract. Let A be a vector space of real valued functions on a non-empty set X and L : A −! R a linear functional. Given a σ-algebra A, of subsets of X, we present a necessary condition for L to be representable as an integral with respect to a measure µ on X such that elements of A are µ-measurable. This general result then is applied to the case where X carries a topological structure and A is a family of continuous functions and naturally A is the Borel structure of X. As an application, short solutions for the full and truncated K-moment problem are presented. An analogue of Riesz{Markov{Kakutani representation theorem is given where Cc(X) is replaced with whole C(X). Then we consider the case where A only consists of bounded functions and hence is equipped with sup-norm. 1. Introduction A positive linear functional on a function space A ⊆ RX is a linear map L : A −! R which assigns a non-negative real number to every function f 2 A that is globally non-negative over X. The celebrated Riesz{Markov{Kakutani repre- sentation theorem states that every positive functional on the space of continuous compactly supported functions over a locally compact Hausdorff space X, admits an integral representation with respect to a regular Borel measure on X. In symbols R L(f) = X f dµ, for all f 2 Cc(X). Riesz's original result [12] was proved in 1909, for the unit interval [0; 1]. -
Measure Theory (Graduate Texts in Mathematics)
PaulR. Halmos Measure Theory Springer-VerlagNewYork-Heidelberg-Berlin Managing Editors P. R. Halmos C. C. Moore Indiana University University of California Department of Mathematics at Berkeley Swain Hall East Department of Mathematics Bloomington, Indiana 47401 Berkeley, California 94720 AMS Subject Classifications (1970) Primary: 28 - 02, 28A10, 28A15, 28A20, 28A25, 28A30, 28A35, 28A40, 28A60, 28A65, 28A70 Secondary: 60A05, 60Bxx Library of Congress Cataloging in Publication Data Halmos, Paul Richard, 1914- Measure theory. (Graduate texts in mathematics, 18) Reprint of the ed. published by Van Nostrand, New York, in series: The University series in higher mathematics. Bibliography: p. 1. Measure theory. I. Title. II. Series. [QA312.H26 1974] 515'.42 74-10690 ISBN 0-387-90088-8 All rights reserved. No part of this book may be translated or reproduced in any form without written permission from Springer-Verlag. © 1950 by Litton Educational Publishing, Inc. and 1974 by Springer-Verlag New York Inc. Printed in the United States of America. ISBN 0-387-90088-8 Springer-Verlag New York Heidelberg Berlin ISBN 3-540-90088-8 Springer-Verlag Berlin Heidelberg New York PREFACE My main purpose in this book is to present a unified treatment of that part of measure theory which in recent years has shown itself to be most useful for its applications in modern analysis. If I have accomplished my purpose, then the book should be found usable both as a text for students and as a source of refer ence for the more advanced mathematician. I have tried to keep to a minimum the amount of new and unusual terminology and notation. -
Version of 21.8.15 Chapter 43 Topologies and Measures II The
Version of 21.8.15 Chapter 43 Topologies and measures II The first chapter of this volume was ‘general’ theory of topological measure spaces; I attempted to distinguish the most important properties a topological measure can have – inner regularity, τ-additivity – and describe their interactions at an abstract level. I now turn to rather more specialized investigations, looking for features which offer explanations of the behaviour of the most important spaces, radiating outwards from Lebesgue measure. In effect, this chapter consists of three distinguishable parts and two appendices. The first three sections are based on ideas from descriptive set theory, in particular Souslin’s operation (§431); the properties of this operation are the foundation for the theory of two classes of topological space of particular importance in measure theory, the K-analytic spaces (§432) and the analytic spaces (§433). The second part of the chapter, §§434-435, collects miscellaneous results on Borel and Baire measures, looking at the ways in which topological properties of a space determine properties of the measures it carries. In §436 I present the most important theorems on the representation of linear functionals by integrals; if you like, this is the inverse operation to the construction of integrals from measures in §122. The ideas continue into §437, where I discuss spaces of signed measures representing the duals of spaces of continuous functions, and topologies on spaces of measures. The first appendix, §438, looks at a special topic: the way in which the patterns in §§434-435 are affected if we assume that our spaces are not unreasonably complex in a rather special sense defined in terms of measures on discrete spaces. -
On Expanding Locally Finite Collections
Can. J. Math., Vol. XXIII, No. 1, 1971, pp. 58-68 ON EXPANDING LOCALLY FINITE COLLECTIONS LAWRENCE L. KRAJEWSKI Introduction. A space X is in-expandable, where m is an infinite cardinal, if for every locally finite collection {Ha\ a £ A} of subsets of X with \A\ ^ m (car dinality of A S ni ) there exists a locally finite collection of open subsets {Ga \ a £ A} such that Ha C Ga for every a 6 A. X is expandable if it is m-expandable for every cardinal m. The notion of expandability is closely related to that of collection wise normality introduced by Bing [1], X is collectionwise normal if for every discrete collection of subsets {Ha\a € A} there is a discrete collec tion of open subsets {Ga\a £ A] such that Ha C Ga for every a 6 A. Expand able spaces share many of the properties possessed by collectionwise normal spaces. For example, an expandable developable space is metrizable and an expandable metacompact space is paracompact. In § 2 we study the relationship of expandability with various covering properties and obtain some characterizations of paracompactness involving expandability. It is shown that Xo-expandability is equivalent to countable paracompactness. In § 3, countably perfect maps are studied in relation to expandability and various product theorems are obtained. Section 4 deals with subspaces and various sum theorems. Examples comprise § 5. Definitions of terms not defined here can be found in [1; 5; 16]. 1. Expandability and collectionwise normality. An expandable space need not be regular (Example 5.6), and a completely regular expandable space need not be normal (W in Example 5.3). -
(Measure Theory for Dummies) UWEE Technical Report Number UWEETR-2006-0008
A Measure Theory Tutorial (Measure Theory for Dummies) Maya R. Gupta {gupta}@ee.washington.edu Dept of EE, University of Washington Seattle WA, 98195-2500 UWEE Technical Report Number UWEETR-2006-0008 May 2006 Department of Electrical Engineering University of Washington Box 352500 Seattle, Washington 98195-2500 PHN: (206) 543-2150 FAX: (206) 543-3842 URL: http://www.ee.washington.edu A Measure Theory Tutorial (Measure Theory for Dummies) Maya R. Gupta {gupta}@ee.washington.edu Dept of EE, University of Washington Seattle WA, 98195-2500 University of Washington, Dept. of EE, UWEETR-2006-0008 May 2006 Abstract This tutorial is an informal introduction to measure theory for people who are interested in reading papers that use measure theory. The tutorial assumes one has had at least a year of college-level calculus, some graduate level exposure to random processes, and familiarity with terms like “closed” and “open.” The focus is on the terms and ideas relevant to applied probability and information theory. There are no proofs and no exercises. Measure theory is a bit like grammar, many people communicate clearly without worrying about all the details, but the details do exist and for good reasons. There are a number of great texts that do measure theory justice. This is not one of them. Rather this is a hack way to get the basic ideas down so you can read through research papers and follow what’s going on. Hopefully, you’ll get curious and excited enough about the details to check out some of the references for a deeper understanding. -
Probability Measures on Metric Spaces
Probability measures on metric spaces Onno van Gaans These are some loose notes supporting the first sessions of the seminar Stochastic Evolution Equations organized by Dr. Jan van Neerven at the Delft University of Technology during Winter 2002/2003. They contain less information than the common textbooks on the topic of the title. Their purpose is to present a brief selection of the theory that provides a basis for later study of stochastic evolution equations in Banach spaces. The notes aim at an audience that feels more at ease in analysis than in probability theory. The main focus is on Prokhorov's theorem, which serves both as an important tool for future use and as an illustration of techniques that play a role in the theory. The field of measures on topological spaces has the luxury of several excellent textbooks. The main source that has been used to prepare these notes is the book by Parthasarathy [6]. A clear exposition is also available in one of Bour- baki's volumes [2] and in [9, Section 3.2]. The theory on the Prokhorov metric is taken from Billingsley [1]. The additional references for standard facts on general measure theory and general topology have been Halmos [4] and Kelley [5]. Contents 1 Borel sets 2 2 Borel probability measures 3 3 Weak convergence of measures 6 4 The Prokhorov metric 9 5 Prokhorov's theorem 13 6 Riesz representation theorem 18 7 Riesz representation for non-compact spaces 21 8 Integrable functions on metric spaces 24 9 More properties of the space of probability measures 26 1 The distribution of a random variable in a Banach space X will be a probability measure on X. -
Borel Extensions of Baire Measures
FUNDAMENTA MATHEMATICAE 154 (1997) Borel extensions of Baire measures by J. M. A l d a z (Madrid) Abstract. We show that in a countably metacompact space, if a Baire measure admits a Borel extension, then it admits a regular Borel extension. We also prove that under the special axiom ♣ there is a Dowker space which is quasi-Maˇr´ıkbut not Maˇr´ık,answering a question of H. Ohta and K. Tamano, and under P (c), that there is a Maˇr´ıkDowker space, answering a question of W. Adamski. We answer further questions of H. Ohta and K. Tamano by showing that the union of a Maˇr´ıkspace and a compact space is Maˇr´ık,that under “c is real-valued measurable”, a Baire subset of a Maˇr´ıkspace need not be Maˇr´ık, and finally, that the preimage of a Maˇr´ıkspace under an open perfect map is Maˇr´ık. 1. Introduction. The Borel sets are the σ-algebra generated by the open sets of a topological space, and the Baire sets are the smallest σ- algebra making all real-valued continuous functions measurable. The Borel extension problem asks: Given a Baire measure, when can it be extended to a Borel measure? Whenever one deals with Baire measures on a topological space, it is assumed that the space is completely regular and Hausdorff, so there are enough continuous functions to separate points and closed sets. In 1957 (see [Ma]), J. Maˇr´ıkproved that all normal, countably paracompact spaces have the following property: Every Baire measure extends to a regular Borel measure. -
On Measure-Compactness and Borel Measure-Compactness
CORE Metadata, citation and similar papers at core.ac.uk Provided by Osaka City University Repository Okada, S. and Okazaki, Y. Osaka J. Math. 15 (1978), 183-191 ON MEASURE-COMPACTNESS AND BOREL MEASURE-COMPACTNESS SUSUMU OKADA AND YOSHIAKI OKAZAKI (Received December 6, 1976) 1. Introduction Moran has introduced "measure-compactness' and "strongly measure- compactness' in [7], [8], For measure-compactness, Kirk has independently presented in [4]. For Borel measures, "Borel measure-compactness' and "property B" are introduced by Gardner [1], We study, defining "a weak Radon space", the relation among these proper- ties at the last of §2. Furthermore we investigate the stability of countable unions in §3 and the hereditariness in §4. The authors wish to thank Professor Y. Yamasaki for his suggestions. 2. Preliminaries and fundamental results All spaces considered in this paper are completely regular and Hausdorff. Let Cb(X) be the space of all bounded real-valued continuous functions on a topological space X. By Z(X] we mean the family of zero sets {/" \0) / e Cb(X)} c and U(X) the family of cozero sets {Z \ Z<=Z(X)}. We denote by &a(X) the Baίre field, that is, the smallest σ-algebra containing Z(X) and by 1$(X) the σ-algebra generated by all open subsets of X, which is called the Borel field. A Baire measure [resp. Borel measure} is a totally finite, non-negative coun- tably additive set function defined on Άa(X) [resp. 3)(X)]. For a Baire measure μ, the support of μ is supp μ = {x^Xm, μ(U)>0 for every U^ U(X) containing x} . -
A Absolutely Countably Compact Space, 286 Accumulation Point, 81 of a Sequence of Sets, 80 Action, 218, 220, 222–228, 231
Index A B Absolutely countably compact space, 286 Baire property, 9, 69 Accumulation point, 81 Baire space, 9–11 of a sequence of sets, 80 Banach space, 80 Action, 218, 220, 222–228, 231, 234, 241, Base for the closed sets, 133 242 Base Tree Theorem, 274 Bernstein set, 158 algebraic, 220, 223, 234, 236 b f -group, 221, 224, 226–228 b f -action, 226 b f -space, 108, 122, 124, 125, 221, 222, 224, diagonal, 222 226–228, 231, 237 effective, 232 Birkhoff–Kakutani theorem, 39 faithful, 232 b-lattice, 164–167 free, 231 Bounded linearization of, 241 lattice, 164 trivial, 218, 229, 230, 240 neighborhood, 123 AD, see almost disjoint family open subset, 110 subset, 107–113, 115–119, 121–126, Additive group of the reals, 242 128–133, 136, 137, 139–142, 144–146, Admissible topology, 234 158, 221, 222 Alexandroff one-point compactification, 233 Boundedness, 111 Algebra of continuous functions, 221 Bounding number, 268 Almost compact space, 16, 17, 266 br -space, 108, 122, 124, 128, 129, 137 Almost disjoint family, 7, 8, 17, 28, 36, 195, 253–261, 266, 269, 271, 272, 280– 282, 284, 286 C Almost dominance with respect to a weak Canonical η-layered family, 263 selection, 280 Canonical open set in a GO-space, 170, 173 Almost metrizable topological group, 60 C-compact subset, 34, 36, 108, 115–117, Almost periodic point, 242 126–129, 137, 140, 184 ˇ Almost periodic subset, 242 Cech-complete space, 174–176, 181 Cech-completeˇ topological group, 181 Almost pseudo-ω-bounded space, 19, 20 Cellular family, 19 Almost P-space, 176 Cellularity, 49 (α, ) D -pseudocompact space, 77, 78, 85 C-embedded subset, 2–4, 15, 16, 18, 26, 110, Arcwise connected space, 184 122, 225 Arzelà-Ascoli theorem, 108, 239, 240 C∗-embedded subset, 2, 13, 17, 24, 25 Ascoli theorem, 80 Centered family, 275 © Springer International Publishing AG, part of Springer Nature 2018 291 M. -
Real Analysis II, Winter 2018
Real Analysis II, Winter 2018 From the Finnish original “Moderni reaalianalyysi”1 by Ilkka Holopainen adapted by Tuomas Hytönen February 22, 2018 1Version dated September 14, 2011 Contents 1 General theory of measure and integration 2 1.1 Measures . 2 1.11 Metric outer measures . 4 1.20 Regularity of measures, Radon measures . 7 1.31 Uniqueness of measures . 9 1.36 Extension of measures . 11 1.45 Product measure . 14 1.52 Fubini’s theorem . 16 2 Hausdorff measures 21 2.1 Basic properties of Hausdorff measures . 21 2.12 Hausdorff dimension . 24 2.17 Hausdorff measures on Rn ...................... 25 3 Compactness and convergence of Radon measures 30 3.1 Riesz representation theorem . 30 3.13 Weak convergence of measures . 35 3.17 Compactness of measures . 36 4 On the Hausdorff dimension of fractals 39 4.1 Mass distribution and Frostman’s lemma . 39 4.16 Self-similar fractals . 43 5 Differentiation of measures 52 5.1 Besicovitch and Vitali covering theorems . 52 1 Chapter 1 General theory of measure and integration 1.1 Measures Let X be a set and P(X) = fA : A ⊂ Xg its power set. Definition 1.2. A collection M ⊂ P (X) is a σ-algebra of X if 1. ? 2 M; 2. A 2 M ) Ac = X n A 2 M; S1 3. Ai 2 M, i 2 N ) i=1 Ai 2 M. Example 1.3. 1. P(X) is the largest σ-algebra of X; 2. f?;Xg is the smallest σ-algebra of X; 3. Leb(Rn) = the Lebesgue measurable subsets of Rn; 4. -
EXISTENCE of HAAR MEASURE Most of the Measure Theory We've Done in This Class Has Been Within Subsets of Rn, Even Though Measu
EXISTENCE OF HAAR MEASURE ARUN DEBRAY NOVEMBER 19, 2015 Abstract. In this presentation, I will prove that every compact topological group has a unique left-invariant measure with total measure 1. This presentation is for UT’s real analysis prelim class. Most of the measure theory we’ve done in this class has been within subsets of Rn, even though measures are very general tools. Today, we will talk about a measure defined on a larger class of spaces, which generalizes the usual Lesbegue measure. I will define and prove its existence; Spencer will prove its uniqueness and provide some interesting examples; and Gill will talk about an application to harmonic analysis. Definition. A topological group is a topological space G with a group structure: an identity, an associative multiplication map, and an inverse map, such that multiplication G G G and inversion G G are both continuous. × ! ! There are many examples, including Rn under addition; all Lie groups; and all finite groups (with the discrete topology). Since a topological group G has a topology, we can talk about the σ-algebra of Borel sets on it, as usual generated by the open sets. But the group structure means we can also talk about left- and right-invariance: for every g G, we have continuous maps ` : G G and r : G G, sending x gx and x xg, respectively. 2 g ! g ! 7! 7! These should be read “left (resp. right) translation by g” (or “multiplication,” or “action”). Often, we want something to be invariant under these maps. Specifically, we say that a measure is left-invariant if µ(S) = µ(g S) for all g G, and define right-invariance similarly.