Appendix a the Bochner Integral

Total Page:16

File Type:pdf, Size:1020Kb

Appendix a the Bochner Integral Appendix A The Bochner Integral Let X; kk be a Banach space, B.X/ the Borel -field of X and .; F;/a measure space with finite measure . A.1 Definition of the Bochner Integral Step 1: As a first step we want to define the integral for simple functions which are defined as follows. Set n ˇ n o ˇ X E ˇ 1 ; ; F;16 6 ; N WD f W ! X f D xk Ak xk 2 X Ak 2 k n n 2 kD1 and define a semi-norm kkE on the vector space E by Z kf kE WD kf k d; f 2 E: To get that E; kkE is a normed vector space we consider equivalence classes with respect to PkkE . For simplicity we will not change the notation. E n 1 For f 2 , f D kD1 xk Ak , Ak’s pairwiseP disjoint (such a representation is called n 1 ./ ;:::; normal and always exists, because f D kD1 xk Ak ,wheref Dfx1 xkg, xi 6D xj,andAk WD ff D xkg) and we now define the Bochner integral to be Z Xn f d WD xk.Ak/: kD1 © Springer International Publishing Switzerland 2015 209 W. Liu, M. Röckner, Stochastic Partial Differential Equations: An Introduction, Universitext, DOI 10.1007/978-3-319-22354-4 210 Appendix A (Exercise: This definition is independent of representations, and hence linear.) In this way we get a mapping E; ; int W kkE ! ZX kk f 7! f d R R which is linear and uniformly continuous since f d 6 kf k d for all f 2 E. Therefore we can extend the mapping int to the abstract completion of E with respect to kkE which we denote by E. Step 2: We give an explicit representation of E. Definition A.1.1 A function f W ! X is called strongly measurable if it is F=B.X/-measurable and f ./ X is separable. Definition A.1.2 Let 1 6 p < 1. Then we define Lp.; F;I X/ WD Lp.I X/ ˇ ˇ ˇ WD f W ! X ˇ f is strongly measurable with Z respect to F; and kf kp d<1 and the semi-norm ÂZ à 1 p p p kf kLp WD kf k d ; f 2 L .; F;I X/: p The space of all equivalence classes in L .; F;I X/ with respect to kkLp is denoted by Lp.; F;I X/ WD Lp.I X/. Claim L1.; F;I X/ D E. 1 Step 2.a: L .; F;I X/; kkL1 is complete. The proof is just a modification of the proof of the Fischer–Riesz theorem by the following proposition. Proposition A.1.3 Let .; F/ be a measurable space and let X be a Banach space. Then: (i) the set of F=B.X/-measurable functions from to X is closed under the formation of pointwise limits, and (ii) the set of strongly measurable functions from to X is closed under the formation of pointwise limits. A.2 Properties of the Bochner Integral 211 Proof Simple exercise or see [18, Proposition E.1, p. 350]. ut 1 Step 2.b E is a dense subset of L .; F;I X/ with respect to kkL1 . This will follow from the following lemma. Lemma A.1.4 Let E be a metric space with metric d and let f W ! E be strongly measurable. Then there exists a sequence fn,n2 N, of simple E-valued functions (i.e. fn is F=B.E/-measurable and takes only a finite number of values) such that for arbitrary ! 2 the sequence d fn.!/; f .!/ ,n2 N, is monotonely decreasing to zero. Proof ([26, Lemma 1.1, p. 16]) Let fek j k 2 Ng be a countable dense subset of f ./.Form 2 N and ! 2 define ˚ ˇ « ˇ dm.!/ WD min d f .!/; ek k 6 m D dist.f .!/; fek; k 6 mg/ ; ˚ ˇ « ˇ km.!/ WD min k 6 m dm.!/ D d f .!/; ek ; .!/ : fm WD ekm.!/ Obviously fm, m 2 N, are simple functions since they are F=B.E/-measurable (exercise) and fm./ fe1; e2;:::;emg: Moreover, by the density of fek j k 2 Ng, the sequence dm.!/ , m 2 N,is monotonically decreasing to zero for arbitrary ! 2 .Sinced fm.!/; f .!/ D dm.!/ the assertion follows. ut Let now f 2 L1.; F;I X/. By Lemma A.1.4 above we get the existence of a sequence of simple functions fn, n 2 N, such that fn.!/ f .!/ # 0 for all ! 2 as n !1: n!1 Hence fn ! f in kkL1 by Lebesgue’s dominated convergence theorem. A.2 Properties of the Bochner Integral Proposition A.2.1 (Bochner Inequality) Let f 2 L1.; F;I X/.Then Z Z k f dk 6 kf k d: 212 Appendix A Proof We know the assertion is true for f 2 E,i.e.intW E ! X is linear, continuous with kint f k 6 kf kE for all f 2 E, so the same is true for its unique continuous extension int W E D L1.I X/ ! X,i.e.forallf 2 L1.X;/ Z Z k f dkD int f 6 kf kE D kf k d: ut Proposition A.2.2 Let f 2 L1.; F;I X/.Then Z ÂZ à L ı f d D L f d holds for all L 2 L.X; Y/, where Y is another Banach space. Proof Simple exercise or see [18, Proposition E.11, p. 356]. ut Proposition A.2.3 (Fundamental Theorem of Calculus) Let 1 < a < b < 1 and f 2 C1 Œa; bI X .Then Z ( R t 0 1Œ ; .u/f .u/ duifs6 t f .t/ f .s/ D f 0.u/ du WD R s t 0 s 1Œt;s.u/f .u/ duotherwise for all s; t 2 Œa; b where du denotes the Lebesgue measure on B.R/. Proof R . / t 0. / Œ ; 0. / 0. / Claim 1: If we set F t WD s f u du, t 2 a b , we get that F t D f t for all t 2 Œa; b. Forthatwehavetoprovethat 1 h!0 k F.t C h/ F.t/ f 0.t/k ! 0: h X To this end we fix t 2 Œa; b and take an arbitrary ">0 .Sincef 0 is continuous Œ ; ı>0 0. / 0. / <" Œ ; on a b there exists a such that f u f t X for all u 2 a b with ju tj <ı. Then we obtain that Z 1 1 tCh 0 0 0 k F.t C h/ F.t/ f .t/kX Dk f .u/ f .t/ dukX h h t Z 1 t_.tCh/ 6 0. / 0. / <" f u f t X du jhj t^.tCh/ if t C h 2 Œa; b and jhj <ı. A.2 Properties of the Bochner Integral 213 Claim 2: If FQ 2 C1 Œa; bI X is a further function with FQ 0 D F0 D f 0 then there exists a constant c 2 X such that F FQ D c. LetusfirstassumethatF.a/ D 0 D FQ .a/. Then for all L 2 X D L.X; R/ . Q / 0 0 we define gL WD L F F .ThengL D and therefore gL is constant cL.But gL.a/ D L.F.a/ FQ .a// D 0,socL D 0.SinceX separates the points of X,by the Hahn–Banach theorem (see [3, Satz 4.2, p. 114]) this implies that F FQ D 0. In the general case we apply the above to F F.a/ and FQ FQ .a/ to obtain the assertion. ut Appendix B Nuclear and Hilbert–Schmidt Operators Let U; h ; iU and H; h ; i be two separable Hilbert spaces. The space of all bounded linear operators from U to H is denoted by L.U; H/; for simplicity we write L.U/ instead of L.U; U/. If we speak of the adjoint operator of L 2 L.U; H/ we write L 2 L.H; U/.AnelementL 2 L.U/ is called symmetric if hLu;viU Dhu; LviU for all u;v 2 U. In addition, L 2 L.U/ is called nonnegative if hLu; ui > 0 for all u 2 U. Definition B.0.1 (Nuclear Operator) An element T 2 L.U; H/ is said to be a nuclear operator if there exists a sequence .aj/j2N in H and a sequence .bj/j2N in U such that X1 Tx D ajhbj; xiU for all x 2 U jD1 and X kajkkbjkU < 1: j2N The space of all nuclear operators from U to H is denoted by L1.U; H/. If U D H and T 2 L1.U; H/ is nonnegative and symmetric, then T is called trace class. Proposition B.0.2 The space L1.U; H/ endowed with the norm n ˇ 1 o X ˇ X kTkL1 .U;H/ WD inf kajkkbjkU ˇ Tx D ajhbj; xiU; x 2 U j2N jD1 is a Banach space. © Springer International Publishing Switzerland 2015 215 W. Liu, M. Röckner, Stochastic Partial Differential Equations: An Introduction, Universitext, DOI 10.1007/978-3-319-22354-4 216 Appendix B Proof [60, Corollary 16.25, p. 154]. ut Definition B.0.3 Let T 2 L.U/ and let ek, k 2 N, be an orthonormal basis of U. Then we define X tr T WD hTe k; ekiU k2N if the series is convergent.
Recommended publications
  • Arxiv:1910.08491V3 [Math.ST] 3 Nov 2020
    Weakly stationary stochastic processes valued in a separable Hilbert space: Gramian-Cram´er representations and applications Amaury Durand ∗† Fran¸cois Roueff ∗ September 14, 2021 Abstract The spectral theory for weakly stationary processes valued in a separable Hilbert space has known renewed interest in the past decade. However, the recent literature on this topic is often based on restrictive assumptions or lacks important insights. In this paper, we follow earlier approaches which fully exploit the normal Hilbert module property of the space of Hilbert- valued random variables. This approach clarifies and completes the isomorphic relationship between the modular spectral domain to the modular time domain provided by the Gramian- Cram´er representation. We also discuss the general Bochner theorem and provide useful results on the composition and inversion of lag-invariant linear filters. Finally, we derive the Cram´er-Karhunen-Lo`eve decomposition and harmonic functional principal component analysis without relying on simplifying assumptions. 1 Introduction Functional data analysis has become an active field of research in the recent decades due to technological advances which makes it possible to store longitudinal data at very high frequency (see e.g. [22, 31]), or complex data e.g. in medical imaging [18, Chapter 9], [15], linguistics [28] or biophysics [27]. In these frameworks, the data is seen as valued in an infinite dimensional separable Hilbert space thus isomorphic to, and often taken to be, the function space L2(0, 1) of Lebesgue-square-integrable functions on [0, 1]. In this setting, a 2 functional time series refers to a bi-sequences (Xt)t∈Z of L (0, 1)-valued random variables and the assumption of finite second moment means that each random variable Xt belongs to the L2 Bochner space L2(Ω, F, L2(0, 1), P) of measurable mappings V : Ω → L2(0, 1) such that E 2 kV kL2(0,1) < ∞ , where k·kL2(0,1) here denotes the norm endowing the Hilbert space L2h(0, 1).
    [Show full text]
  • A. the Bochner Integral
    A. The Bochner Integral This chapter is a slight modification of Chap. A in [FK01]. Let X, be a Banach space, B(X) the Borel σ-field of X and (Ω, F,µ) a measure space with finite measure µ. A.1. Definition of the Bochner integral Step 1: As first step we want to define the integral for simple functions which are defined as follows. Set n E → ∈ ∈F ∈ N := f :Ω X f = xk1Ak ,xk X, Ak , 1 k n, n k=1 and define a semi-norm E on the vector space E by f E := f dµ, f ∈E. To get that E, E is a normed vector space we consider equivalence classes with respect to E . For simplicity we will not change the notations. ∈E n For f , f = k=1 xk1Ak , Ak’s pairwise disjoint (such a representation n is called normal and always exists, because f = k=1 xk1Ak , where f(Ω) = {x1,...,xk}, xi = xj,andAk := {f = xk}) and we now define the Bochner integral to be n f dµ := xkµ(Ak). k=1 (Exercise: This definition is independent of representations, and hence linear.) In this way we get a mapping E → int : , E X, f → f dµ which is linear and uniformly continuous since f dµ f dµ for all f ∈E. Therefore we can extend the mapping int to the abstract completion of E with respect to E which we denote by E. 105 106 A. The Bochner Integral Step 2: We give an explicit representation of E. Definition A.1.1.
    [Show full text]
  • Bochner Integrals and Vector Measures
    Michigan Technological University Digital Commons @ Michigan Tech Dissertations, Master's Theses and Master's Reports 1993 Bochner Integrals and Vector Measures Ivaylo D. Dinov Michigan Technological University Copyright 1993 Ivaylo D. Dinov Recommended Citation Dinov, Ivaylo D., "Bochner Integrals and Vector Measures", Open Access Master's Report, Michigan Technological University, 1993. https://doi.org/10.37099/mtu.dc.etdr/919 Follow this and additional works at: https://digitalcommons.mtu.edu/etdr Part of the Mathematics Commons “BOCHNER INTEGRALS AND VECTOR MEASURES” Project for the Degree of M.S. MICHIGAN TECH UNIVERSITY IVAYLO D. DINOV BOCHNER INTEGRALS RND VECTOR MEASURES By IVAYLO D. DINOV A REPORT (PROJECT) Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN MATHEMATICS Spring 1993 MICHIGAN TECHNOLOGICRL UNIUERSITV HOUGHTON, MICHIGAN U.S.R. 4 9 9 3 1 -1 2 9 5 . Received J. ROBERT VAN PELT LIBRARY APR 2 0 1993 MICHIGAN TECHNOLOGICAL UNIVERSITY I HOUGHTON, MICHIGAN GRADUATE SCHOOL MICHIGAN TECH This Project, “Bochner Integrals and Vector Measures”, is hereby approved in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE IN MATHEMATICS. DEPARTMENT OF MATHEMATICAL SCIENCES MICHIGAN TECHNOLOGICAL UNIVERSITY Project A d v is o r Kenneth L. Kuttler Head of Department— Dr.Alphonse Baartmans 2o April 1992 Date •vaylo D. Dinov “Bochner Integrals and Vector Measures” 1400 TOWNSEND DRIVE. HOUGHTON Ml 49931-1295 flskngiyledgtiients I wish to express my appreciation to my advisor, Dr. Kenneth L. Kuttler, for his help, guidance and direction in the preparation of this report. The corrections and the revisions that he suggested made the project look complete and easy to read.
    [Show full text]
  • BOCHNER Vs. PETTIS NORM: EXAMPLES and RESULTS 3
    Contemp orary Mathematics Volume 00, 0000 Bo chner vs. Pettis norm: examples and results S.J. DILWORTH AND MARIA GIRARDI Contemp. Math. 144 1993 69{80 Banach Spaces, Bor-Luh Lin and Wil liam B. Johnson, editors Abstract. Our basic example shows that for an arbitrary in nite-dimen- sional Banach space X, the Bo chner norm and the Pettis norm on L X are 1 not equivalent. Re nements of this example are then used to investigate various mo des of sequential convergence in L X. 1 1. INTRODUCTION Over the years, the Pettis integral along with the Pettis norm have grabb ed the interest of many. In this note, we wish to clarify the di erences b etween the Bo chner and the Pettis norms. We b egin our investigation by using Dvoretzky's Theorem to construct, for an arbitrary in nite-dimensional Banach space, a se- quence of Bo chner integrable functions whose Bo chner norms tend to in nity but whose Pettis norms tend to zero. By re ning this example again working with an arbitrary in nite-dimensional Banach space, we pro duce a Pettis integrable function that is not Bo chner integrable and we show that the space of Pettis integrable functions is not complete. Thus our basic example provides a uni- ed constructiveway of seeing several known facts. The third section expresses these results from a vector measure viewp oint. In the last section, with the aid of these examples, we give a fairly thorough survey of the implications going between various mo des of convergence for sequences of L X functions.
    [Show full text]
  • A Riesz Representation Theorem for the Space of Henstock Integrable Vector-Valued Functions
    Hindawi Journal of Function Spaces Volume 2018, Article ID 8169565, 9 pages https://doi.org/10.1155/2018/8169565 Research Article A Riesz Representation Theorem for the Space of Henstock Integrable Vector-Valued Functions Tomás Pérez Becerra ,1 Juan Alberto Escamilla Reyna,1 Daniela Rodríguez Tzompantzi,1 Jose Jacobo Oliveros Oliveros ,1 and Khaing Khaing Aye2 1 Facultad de Ciencias F´ısico Matematicas,´ Benemerita´ Universidad AutonomadePuebla,Puebla,PUE,Mexico´ 2Department of Engineering Mathematics, Yangon Technological University, Yangon, Myanmar Correspondence should be addressed to Tomas´ Perez´ Becerra; [email protected] Received 15 January 2018; Revised 21 March 2018; Accepted 5 April 2018; Published 17 May 2018 Academic Editor: Adrian Petrusel Copyright © 2018 Tomas´ Perez´ Becerra et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Using a bounded bilinear operator, we defne the Henstock-Stieltjes integral for vector-valued functions; we prove some integration by parts theorems for Henstock integral and a Riesz-type theorem which provides an alternative proof of the representation theorem for real functions proved by Alexiewicz. 1. Introduction 2. Preliminaries Henstock in [1] defnes a Riemann type integral which Troughout this paper �, �,and� will denote three Banach is equivalent to Denjoy integral and more general than spaces, ‖⋅‖�, ‖⋅‖�,and‖⋅‖�, which will denote their respective ∗ the Lebesgue integral, called the Henstock integral. Cao in norms, � the dual of �, �:�×�→�a bounded bilinear [2] extends the Henstock integral for vector-valued func- operator fxed, and [�, �] aclosedfniteintervaloftherealline tions and provides some basic properties such as the Saks- with the usual topology and the Lebesgue measure, which we Henstock Lemma.
    [Show full text]
  • Lebegue-Bochner Spaces and Evolution Triples
    of Math al em rn a u ti o c J s l A a Int. J. Math. And Appl., 7(1)(2019), 41{52 n n d o i i t t a s n A ISSN: 2347-1557 r e p t p n l I i c • Available Online: http://ijmaa.in/ a t 7 i o 5 n 5 • s 1 - 7 4 I 3 S 2 S : N International Journal of Mathematics And its Applications Lebegue-Bochner Spaces and Evolution Triples Jula Kabeto Bunkure1,∗ 1 Department Mathematics, Ethiopian institute of Textile and Fashion Technology(EiEX), Bahir Dar University, Ethiopia. Abstract: The functional-analytic approach to the solution of partial differential equations requires knowledge of the properties of spaces of functions of one or several real variables. A large class of infinite dimensional dynamical systems (evolution systems) can be modeled as an abstract differential equation defined on a suitable Banach space or on a suitable manifold therein. The advantage of such an abstract formulation lies not only on its generality but also in the insight that can be gained about the many common unifying properties that tie together apparently diverse problems. It is clear that such a study relies on the knowledge of various spaces of vector valued functions (i.e., of Banach space valued functions). For this reason some facts about vector valued functions is introduced. We introduce the various notions of measurability for such functions and then based on them we define the different integrals corresponding to them. A function f :Ω ! X is strongly measurable if and only if it is the uniform limit almost everywhere of a sequence of countable-valued, Σ-measurable functions.
    [Show full text]
  • Calculus of Variations (With Notes on Infinite-Dimesional Calculus)
    Calculus of Variations (with notes on infinite-dimesional calculus) J. B. Cooper Johannes Kepler Universit¨at Linz Contents 1 Introduction 2 1.1 Methods employed in the calculus of variations. 3 2 The Riemann mapping theorem. 5 3 Analysis in Banach spaces 7 3.1 Differentiation and integration of E-valued functions . 7 3.2 TheBochnerintegral . .. .. 12 3.3 TheOrlicz-PettisTheorem. 15 3.4 Holomorphic E-valuedfunctions. 16 3.5 Differentiability of functions on Banach spaces . 20 4 The calculus of variations 29 4.1 The Euler equations – application . 29 4.2 TheWeierstraßrepresentation:. 37 4.3 Applications to Physics: . 43 1 1 Introduction The calculus of variations deals with the problem of maximizing or minimiz- ing functionals i.e. functions which are defined not on subsets of Rn but on spaces of functions. As a simple example consider all parameterized curves (defined on [0, 1]) between two points x0 and x1 on the plane. Then the shortest such curve is characterized as that curve c with c(0) = x0, c(1) = x1 which minimizes the functional 1 L(c)= c˙(t) dt Z0 Of course this example is not particularly interesting since we know that the solution is the straight line segment from x0 to x1. However, it does become interesting and non trivial if we consider points in higher dimensional space and consider only those curves which lie on a given curved surface (the problem of geodetics). Further examples: 1. The Brachistone Problem. Given are two points O (the origin) and P with yP < 0. Find the curve from O to P for which 1 1 1 2 2 ds = c˙1(t) +c ˙2(t)dt c √ y 0 c (t) Z − Z − 2 q is a minimum.
    [Show full text]
  • Fundamental Theorem of Calculus Under Weaker Forms of Primitive
    Acta Univ. Sapientiae, Mathematica, 10, 1 (2018) 101{111 DOI: 10.2478/ausm-2018-0009 Fundamental theorem of calculus under weaker forms of primitive Nisar A. Lone T. A. Chishti Department of Mathematics, Department of Mathematics, University of Kashmir, Srinagar, India University of Kashmir, Srinagar, India email: [email protected] email: [email protected] Abstract. In this paper we will present abstract versions of fundamen- tal theorem of calculus (FTC) in the setting of Kurzweil - Henstock inte- gral for functions taking values in an infinite dimensional locally convex space. The result will also be dealt with weaker forms of primitives in a widespread setting of integration theories generalising Riemann integral. 1 Introduction and preliminaries The (FTC) theorem is one of the celeberated results of classical analysis. The result establishes a relation between the notions of integral and derivative of a function. In its origional form FTC asserts that: if for the function F :[a; b] − 0 0 R, F (t) exists and F (t) = f(t) and if f(t) if integrable then ! b f(t)dt = F(b)- F(a): Za Let us recall that a (tagged) partition of the interval [a; b] is a finite set of n non-overlapping subintervals P = f[xi-1; xi]; tigi=1, where a = x0 < x1 < ··· < 2010 Mathematics Subject Classification: Primary 46G10; Secondary 46G12 Key words and phrases: Fundamental theorem of calculus, Kurzweil - Henstock intgeral, Bochner integral, Frechet space 101 102 N. A. Lone, T. A. Chishti xn = b and ti's are the tags attached to each subinterval [xi-1; xi].
    [Show full text]
  • The Radon-Nikodym Theorem for the Bochner Integral
    THE RADON-NIKODYM THEOREM FOR THE BOCHNER INTEGRAL BY M. A. RIEFFELF) Our Main Theorem, which we believe to be the first general Radon-Nikodym theorem for the Bochner integral, is Main Theorem. Let (X, S, p) be a o-finite positive measure space and let B be a Banach space. Let m be a B-valued measure on S. Then m is the indefinite integral with respect to p of a B-valued Bochner integrable function on X if and only if (1) m is p-continuous, that is, m(E) = 0 whenever p(E) = 0, Ee S, (2) the total variation, \m\,ofmis a finite measure, (3) locally m somewhere has compact average range, that is, given Ee S with 0 < p.(E) < co there is an F£ E such that p.(F) > 0 and AT(m) = {m(F')/p(F') :F'sF, p(F') > 0} is relatively (norm) compact, or equivalently (3') locally m somewhere has compact direction, that is, given EeS with 0 < p(E) < co there is an As E and a compact subset, K, of B not containing 0 such that p(F) > 0 and m(F') is contained in the cone generated by Kfor all F' s F. Hypothesis 3 is the traditional type of hypothesis which has been used in previous Radon-Nikodym theorems for vector-valued measures. We discuss these previous theorems below. But it is not obvious that hypothesis (3) is satisfied by every real- valued measure, and so, if hypothesis (3) is used, the classical Radon-Nikodym theorem is not an immediate consequence of the Main Theorem.
    [Show full text]
  • However, the Bochner Integral Is Quite Re- Strictive
    REPRESENTATIONS OF WEAK AND STRONG INTEGRALS IN BANACH SPACES By JAMES K. BROOKS DEPARTMENT OF MATHEMATICS, UNIVERSITY OF FLORIDA Communicated by E. J. McShane, February ,4, 1969 Abstract.-We establish a representation of the Gelfand-Pettis (weak) in- tegral in terms of unconditionally convergent series. Moreover, absolute con- vergence of the series is a necessary and sufficient condition in order that the weak integral coincide with the Bochner integral. Two applications of the representation are given. The first is a simplified proof of the countable addi- tivity and absolute continuity of the indefinite weak integral. The second ap- plication is to probability theory; we characterize the conditional expectation of a weakly integrable function. 1. Introduction.-In this paper we give a representation theorem for measur- able Gelfand-Pettis integrable functions in terms of unconditionally convergent series. As we shall explain in more detail below, this representation is optimal. The advantage of the Gelfand-Pettis (G-P) integral is that convergence in the Banach space is transferred to convergence in the scalar field. The disadvantage in working with this integral was the lack of a useful representation (e.g., see ref. 11, p. 77); consequently, it has not been widely used in applications, al- though it arises in a very natural way. As a result, the Bochner integral2-or strong integral-is generally used; however, the Bochner integral is quite re- strictive. The representation theorem (Theorem 1) now facilitates the use of the G-P integral. In fact, we shall show that the usual proofs9. 4 Of the deep theorem that the G-P integral is absolutely continuous and countably additive can be considerably simplified now.
    [Show full text]
  • Decomposability, Convexity and Continuous Linear Operators in $ L^ 1 (\Mu, E) $: the Case for Saturated Measure Spaces
    Decomposability, Convexity and Continuous Linear Operators in L1(µ, E): The Case for Saturated Measure Spaces∗ Nobusumi Sagara† Faculty of Economics, Hosei University 4342, Aihara, Machida, Tokyo, 194-0298, Japan e-mail: [email protected] March 12, 2019 Abstract Motivated by the Lyapunov convexity theorem in infinite dimen- sions, we extend the convexity of the integral of a decomposable set to separable Banach spaces under the strengthened notion of nonatomic- ity of measure spaces, called “saturation”, and provide a complete characterization of decomposability in terms of saturation. Keywords. decomposability; convexity; Bochner integral; Lyapunov con- vexity theorem; nonatomicity; saturated measure space. MSC 2010: 28B05, 28B20, 46G10. arXiv:1903.04301v1 [math.FA] 8 Mar 2019 ∗This research is supported by JSPS KAKENHI Grant Number JP18K01518 from the Ministry of Education, Culture, Sports, Science and Technology, Japan. †I am benefitted by the useful comment from M. Ali Khan. Contents 1 Introduction 1 2 Preliminaries 2 2.1 BochnerIntegralsinBanachSpaces . 2 2.2 Lyapunov Convexity Theorem in Banach Spaces . 3 3 Decomposability and Convexity 4 3.1 Decomposability under Nonatomicity . 4 3.2 Decomposability under Saturation . 6 1 Introduction Let (Ω, Σ,µ) be a finite measure space. Denote by L1(µ, Rn) the space n of integrable functions from Ω to R , normed by kfk1 = kf(ω)kdµ for f ∈ L1(µ, Rn). A subset K of L1(µ, Rn) is said to be decomposableR if χAf + (1 − χA)g ∈ K for every f,g ∈ K and A ∈ Σ, where χA is the characteristic function of A. The notion of decomposability was originally introduced in [21, 22] to explore the duality theory for integral functionals defined on decomposable sets, which had turned out to be useful in optimal control, variational geometry, differential inclusions, and fixed point theorems in the context of nonconvexity; see [3, 9, 18, 20].
    [Show full text]
  • Lecture 1: Integration in Banach Spaces
    1 Integration in Banach spaces When integrating a continuous function f : [a,b] → E, where E is a Banach space, it usually suffices to use the Riemann integral. We shall be concerned frequently with E-valued functions defined on some abstract measure space (typically, a probability space), and in this context the notions of continuity and Riemann integral make no sense. For this reason we start this first lecture with generalising the Lebesgue integral to the E-valued setting. 1.1 Banach spaces Throughout this lecture, E is a Banach space over the scalar field K, which may be either R or C unless otherwise stated. The norm of an element x ∈ E is denoted by kxkE, or, if no confusion can arise, by kxk. We write BE = {x ∈ E : kxk 6 1} for the closed unit ball of E. The Banach space dual of E is the vector space E∗ of all continuous linear mappings from E to K. This space is a Banach space with respect to the norm ∗ ∗ kx kE∗ := sup |hx, x i|. kxk61 Here, hx, x∗i := x∗(x) denotes the duality pairing of the elements x ∈ E ∗ ∗ ∗ ∗ and x ∈ E . We shall simply write kx k instead of kx kE∗ if no confusion can arise. The elements of E∗ are often called (linear) functionals on E. The Hahn-Banach separation theorem guarantees an ample supply of functionals on E: for every convex closed set C ⊆ E and convex compact set K ⊆ E such that C ∩ K = ∅ there exist x∗ ∈ E∗ and real numbers a<b such that Rehx, x∗i 6 a<b 6 Rehy, x∗i 2 1 Integration in Banach spaces for all x ∈ C and y ∈ K.
    [Show full text]