ON MEASURES in FIBRE SPACES by Anthony Karel SEDA
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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. -
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} . -
Lebesgue Integration Theory: Part I
Part V Lebesgue Integration Theory 17 Introduction: What are measures and why “measurable” sets Definition 17.1 (Preliminary). A measure µ “on” a set X is a function µ :2X [0, ] such that → ∞ 1. µ( )=0 ∅ N 2. If Ai is a finite (N< ) or countable (N = ) collection of subsets { }i=1 ∞ ∞ of X which are pair-wise disjoint (i.e. Ai Aj = if i = j) then ∩ ∅ 6 N N µ( Ai)= µ(Ai). ∪i=1 i=1 X Example 17.2. Suppose that X is any set and x X is a point. For A X, let ∈ ⊂ 1 if x A δ (A)= x 0 if x/∈ A. ½ ∈ Then µ = δx is a measure on X called the Dirac delta measure at x. Example 17.3. Suppose that µ is a measure on X and λ>0, then λ µ · is also a measure on X. Moreover, if µα α J are all measures on X, then { } ∈ µ = α J µα, i.e. ∈ P µ(A)= µα(A) for all A X ⊂ α J X∈ is a measure on X. (See Section 2 for the meaning of this sum.) To prove this we must show that µ is countably additive. Suppose that Ai i∞=1 is a collection of pair-wise disjoint subsets of X, then { } ∞ ∞ µ( ∞ Ai)= µ(Ai)= µα(Ai) ∪i=1 i=1 i=1 α J X X X∈ ∞ = µα(Ai)= µα( ∞ Ai) ∪i=1 α J i=1 α J X∈ X X∈ = µ( ∞ Ai) ∪i=1 246 17 Introduction: What are measures and why “measurable” sets wherein the third equality we used Theorem 4.22 and in the fourth we used that fact that µα is a measure. -
Invariant Measures for the Horocycle Flow on Periodic Hyperbolic Surfaces
INVARIANT MEASURES FOR THE HOROCYCLE FLOW ON PERIODIC HYPERBOLIC SURFACES FRANC¸OIS LEDRAPPIER AND OMRI SARIG Pour Martine Abstract. We classify the ergodic invariant Radon measures for the horocycle flow on geometrically infinite regular covers of compact hyperbolic surfaces. The method is to establish a bijection between these measures and the positive minimal eigenfunctions of the laplacian of the surface. Two consequences: if the group of deck transformations G is of polynomial growth, then these measures are classified by the homomorphisms from G0 to R where G0 ≤ G is a nilpotent subgroup of finite index; if the group is of exponential growth, then there may be more than one Radon measure which is invariant under the geodesic flow and the horocycle flow. We also treat regular covers of finite volume surfaces. 1. Introduction Let M be a hyperbolic surface and T 1(M) its unit tangent bundle. The geodesic flow is the flow gs : T 1(M) → T 1(M) which moves a line element at unit speed along the geodesic it determines. The (stable) horocycle at a line element ω is the geometric location of all ω0 ∈ T 1(M) for which d(gsω, gsω0) −−−→ 0. This s→∞ is a smooth curve. The (stable) horocycle flow ht : T 1(M) → T 1(M) moves line elements along the stable horocycle they determine, in the positive direction. A famous theorem of Furstenberg [F] says that if M is compact, then h has a unique invariant probability measure. Variants of this phenomena have been established for more general geometrically finite hyperbolic surfaces by Dani [D] and Burger [Bu], for compact Riemannian surfaces of variable negative curvature by Marcus [Mrc], and for more general actions by Ratner [Rat]. -
Invariant Measures in Groups Which Are Not Locally Compact
INVARIANT MEASURES IN GROUPS WHICH ARE NOT LOCALLY COMPACT BY JOHN C. OXTOBY 1. Introduction. The problem of measure in groups is the problem of de- fining a left-invariant measure, with specified properties, in a given group. It is a special case of the general problem of defining a measure in a set with a given congruence relation (l). In a topological group it is natural to require that the measure be defined at least for all Borel sets, and therefore to con- sider Borel measures. By a Borel measure we understand a countably addi- tive non-negative set function defined for all (and only for) Borel sets. It may assume the value + oo but is required to be finite and positive for at least one set. In addition, we require always that points have measure zero. A Borel measure mina group G is left-invariant if m(xA) =m(A) for every Borel set A C.G and every element #£G. The present paper is devoted to a study of the existence and possible properties of such measures. In locally compact separable groups the problem of measure, with the added requirement that the measure be locally finite, was solved by Haar [7], as is well known. Moreover, Haar's measure is unique in the sense that (ex- cept for a constant factor) it is the only locally finite left-invariant Borel measure in such a group (see von Neumann [17]). However, a great variety of measures which are not locally finite always exist, as we shall see. The present paper contains a solution of the problem of measure in com- plete separable metric groups. -
In Search of a Lebesgue Density Theorem for R^\Infty
In search of a Lebesgue density theorem for R∞ Verne Cazaubon A thesis submitted to the Faculty of Graduate and Postdoctoral Studies in partial fulfilment of the requirements for the degree of Master of Science in Mathematics 1 Department of Mathematics and Statistics arXiv:0810.4894v1 [math.CA] 27 Oct 2008 Faculty of Science University of Ottawa c Verne Cazaubon, Ottawa, Canada, 2008 1The M.Sc. program is a joint program with Carleton University, administered by the Ottawa- Carleton Institute of Mathematics and Statistics Abstract We look at a measure, λ∞, on the infinite-dimensional space, R∞, for which we at- tempt to put forth an analogue of the Lebesgue density theorem. Although this measure allows us to find partial results, for example for continuous functions, we prove that it is impossible to give an analogous theorem in full generality. In partic- ular, we proved that the Lebesgue density of probability density functions on R∞ is zero almost everywhere. ii Acknowledgements There are many people that I would like to thank for helping me get through these two years from September 2006 to October 2008. First and foremost, I thank God. Without Him I would not have had the patience or strength to get through this work. He has guided me at every step and made sure that the burden was never more than I could handle. I am tremendously grateful to the Canadian Government and in particular the Canadian Bureau for International Education (CBIE) for choosing me to receive a two year full scholarship to attend an institute of my choice in Canada. -
Proquest Dissertations
inn u Ottawa Cmmki'x university FACULTE DES ETUDES SUPERIEURES FACULTY OF GRADUATE AND ET POSTOCTORALES U Ottawa POSDOCTORAL STUDIES l.'Univer.sitt* canadienne Canada's university Verne Cazaubon AUTEUR DE LA THESE / AUTHOR OF THESIS M.Sc. (Mathematics) GRADE/DEGREE Department of Mathematics and Statistics FACULTE, ECOLE, DEPARTEMENT / FACULTY, SCHOOL, DEPARTMENT In Search of a Lebesgue density theorem Ra TITRE DE LA THESE / TITLE OF THESIS Dr. V. Pestov DIRECTEUR (DIRECTRICE) DE LA THESE / THESIS SUPERVISOR CO-DIRECTEUR (CO-DIRECTRICE) DE LA THESE / THESIS CO-SUPERVISOR EXAMINATEURS (EXAMINATRICES) DE LA THESE/THESIS EXAMINERS Dr. D. McDonald Dr. W. Jaworski Gary W. Slater Le Doyen de la Faculte des eludes superieures et postdoctorales / Dean of the Faculty of Graduate and Postdoctoral Studies In search of a Lebesgue density theorem for R oo Verne Cazaubon A thesis submitted to the Faculty of Graduate and Postdoctoral Studies in partial fulfilment of the requirements for the degree of Master of Science in Mathematics l Department of Mathematics and Statistics Faculty of Science University of Ottawa © Verne Cazaubon, Ottawa, Canada, 2008 1The M.Sc. program is a joint program with Carleton University, administered by the Ottawa- Carleton Institute of Mathematics and Statistics Library and Bibliotheque et 1*1 Archives Canada Archives Canada Published Heritage Direction du Branch Patrimoine de I'edition 395 Wellington Street 395, rue Wellington Ottawa ON K1A0N4 Ottawa ON K1A0N4 Canada Canada Your file Votre reference ISBN: 978-0-494-46468-7 -
FINITE BOREL MEASURES on SPACES of CARDINALITY LESS THAN C
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 81, Number 4, April 1981 FINITE BOREL MEASURES ON SPACES OF CARDINALITY LESS THAN c R. J. GARDNER AND G. GRUENHAGE Abstract. Let k < c be uncountable. We prove, among other results, that every a-realcompact space of cardinality k is Borel measure-compact if and only if there is a set of reals of cardinality k whose Lebesgue measure is not zero. 1. Introduction. Which diffused finite Borel measures exist on 'small' topological spaces, that is, spaces whose cardinality is less than c, the power of the continuum? Before attempting to answer this question, the authors knew two relevant results. Firstly, when the space is not Borel-complete (see §2 for all definitions), there does exist a non trivial diffused finite Borel measure. This is an atomic measure; the best known example is Dieudonné's measure on the ordinals less than or equal to w,. It is a 'real' measure, in that no axioms other than those of ZFC (Zermelo-Fraenkel set theory together with the axiom of choice) are needed for its existence. Secondly, Martin's axiom implies that the Lebesgue measure of any set of reals of cardinality less than c is zero. This follows from a result of Martin and Solovay [10, p. 167]; the same proof shows that there are no nontrivial finite Borel measures on any separable metric space of cardinality less than c. In this paper, we first show that the existence of a nonatomic measure on a set of cardinality k,k<c, depends entirely on the existence of a set of reals of cardinality k whose Lebesgue measure is not zero. -
Functional Analysis I, Math 6461, Winter 2019 Class Notes
FUNCTIONAL ANALYSIS I, MATH 6461, WINTER 2019 CLASS NOTES. I. FARAH Contents 0.1. Partial Prerequisites 1 1. Topological vector spaces 1 1.1. Normed spaces 6 2. Properties of Topological Vector Spaces 7 2.1. The unit ball 9 3. Infinite-dimensional normed spaces. Banach spaces 10 3.1. Constructions of spaces: Direct products and direct sums, quotients, the completion 13 3.2. Examples of function spaces 16 4. Baire Category Theorem and its Consequences 18 5. The Open Mapping Theorem 20 6. The dual space 25 7. Weak topologies, Hahn{Banach separation 31 8. The weak∗ topology. Banach{Alaoglu theorem 33 9. Inner product, Hilbert space 37 9.1. Polarization, parallelogram and Pythagoras 38 1 1 9.2. 2 + 2 = 1: Hilbert space 39 9.3. Separability 41 10. Lp spaces 43 11. Dual spaces of Lp spaces 49 12. Dual spaces of Lp spaces 50 ∗ 12.1. An isometric embedding of Lq into (Lp) 50 12.2. H¨olderfest|moreon Lp spaces 54 13. The dual of C0(X) 56 14. Riesz Representation Theorem 57 14.1. An outline of the proof of Riesz Representation Theorem 59 Positive functionals 60 14.2. Stone{Cechˇ compactification 61 15. An alternative proof of the Riesz Representation Theorem 65 16. Some dual spaces 71 Date: The version of 12:10 on Thursday 7th February, 2019. 1 2 I. FARAH 17. Convexity. The Krein{Milman theorem 71 18. Applications of the Krein{Millman theorem 74 19. Fixed points: the Kakutani{Markov Theorem 79 20. The Stone{Weierstraß Theorem 82 21. Operator theory on a Hilbert space 85 22. -
Discrete Probabilistic and Algebraic Dynamics: a Stochastic Commutative
Discrete probabilistic and algebraic dynamics: a stochastic commutative Gelfand-Naimark Theorem Arthur J. Parzygnat Abstract We introduce a category of stochastic maps (certain Markov kernels) on compact Haus- dorff spaces, construct a stochastic analogue of the Gelfand spectrum functor, and prove a stochastic version of the commutative Gelfand-Naimark Theorem. This relates concepts from algebra and operator theory to concepts from topology and probability theory. For completeness, we review stochastic matrices, their relationship to positive maps on commu- tative C∗-algebras, and the Gelfand-Naimark Theorem. No knowledge of probability theory nor C∗-algebras is assumed and several examples are drawn from physics. Contents 1 An algebraic perspective on probability theory 2 1.1 Brief background and motivation ............................ 2 1.2 Overview of results .................................... 3 2 Positive maps and stochastic matrices 5 2.1 Introduction ........................................ 5 2.2 Some categories for finite probability theory ...................... 6 2.3 C∗-algebras and states .................................. 11 2.4 Two types of morphisms of C∗-algebras ......................... 14 2.5 From probability theory to algebra ........................... 16 arXiv:1708.00091v2 [math.FA] 4 Oct 2017 2.6 From algebra to probability theory ........................... 18 2.7 Some quantum mechanics ................................ 20 3 An equivalence between spaces and algebraic structures 23 3.1 From spaces to algebras ................................ -
Notes on Measure and Integration in Locally Compact Spaces
NOTES ON MEASURE AND INTEGRATION IN LOCALLY COMPACT SPACES William Arveson Department of Mathematics University of California Berkeley, CA 94720 USA 25 March 1996 Abstract. This is a set of lecture notes which present an economical development of measure theory and integration in locally compact Hausdorff spaces. We have tried to illuminate the more difficult parts of the subject. The Riesz-Markov theorem is established in a form convenient for applications in modern analysis, including Haar measure on locally compact groups or weights on C∗-algebras...though applications are not taken up here. The reader should have some knowledge of basic measure theory, through outer measures and Carath´eodory's extension theorem. Contents Introduction 1. The trouble with Borel sets 2. How to construct Radon measures 3. Measures and linear functionals 4. Baire meets Borel 5. The dual of C0(X) The preparation of these notes was supported in non-negligible ways by Schnitzel and Pretzel. Typeset by -TEX AMS 1 2 WILLIAM ARVESON Introduction At Berkeley the material of the title is taught in Mathematics 202B, and that discussion normally culminates in some form of the Riesz-Markov theorem. The proof of the latter can be fairly straightforward or fairly difficult, depending on the generality in which it is formulated. One can eliminate the most serious difficulties by limiting the discussion to spaces which are compact or σ-compact, but then one must still deal with differences between Baire sets and Borel sets; one can eliminate all of the difficulty by limiting the discussion to second countable spaces. I have taken both shortcuts myself, but have not been satisfied with the result.