THE RANGE OF A VECTOR-VALUED MEASURE

Similar documents
THE CARATHÉODORY EXTENSION THEOREM FOR VECTOR VALUED MEASURES

RESEARCH ANNOUNCEMENTS OPERATORS ON FUNCTION SPACES

Convergence of Banach valued stochastic processes of Pettis and McShane integrable functions

CHAPTER V DUAL SPACES

UNIFORM INTEGRABILITY AND THE POINTWTSE ERGODIC THEOREM

DUNFORD-PETTIS OPERATORS ON BANACH LATTICES1

STRONGLY EXTREME POINTS IN LPfa X)

("-1/' .. f/ L) I LOCAL BOUNDEDNESS OF NONLINEAR, MONOTONE OPERA TORS. R. T. Rockafellar. MICHIGAN MATHEMATICAL vol. 16 (1969) pp.

EXTENSION OF LYAPUNOV S CONVEXITY THEOREM TO SUBRANGES

Representation of Operators Defined on the Space of Bochner Integrable Functions

Lax Solution Part 4. October 27, 2016

1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3

HILBERT SPACES AND THE RADON-NIKODYM THEOREM. where the bar in the first equation denotes complex conjugation. In either case, for any x V define

S. DUTTA AND T. S. S. R. K. RAO

KAHANE'S CONSTRUCTION AND THE WEAK SEQUENTIAL COMPLETENESS OF L1 E. A. HEARD

Boundedly complete weak-cauchy basic sequences in Banach spaces with the PCP

FORMAL TAYLOR SERIES AND COMPLEMENTARY INVARIANT SUBSPACES

QUOTIENTS OF F-SPACES

THREE SPACES PROBLEM FOR LYAPUNOV THEOREM ON VECTOR MEASURE. V. M. Kadets, O. I. Vladimirskaya

THE PRESERVATION OF CONVERGENCE OF MEASURABLE FUNCTIONS UNDER COMPOSITION

arxiv: v1 [math.fa] 2 Jan 2017

Problem Set 2: Solutions Math 201A: Fall 2016

Additive Summable Processes and their Stochastic Integral

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

An introduction to some aspects of functional analysis

A NOTE ON FRÉCHET-MONTEL SPACES

SOME EXAMPLES IN VECTOR INTEGRATION

The small ball property in Banach spaces (quantitative results)

Problem set 1, Real Analysis I, Spring, 2015.

Spectral theory for compact operators on Banach spaces

Functional Analysis. Martin Brokate. 1 Normed Spaces 2. 2 Hilbert Spaces The Principle of Uniform Boundedness 32

FINITE BOREL MEASURES ON SPACES OF CARDINALITY LESS THAN c

ATOMIC AND NONATOMIC MEASURES

Combinatorics in Banach space theory Lecture 12

CHAPTER I THE RIESZ REPRESENTATION THEOREM

Chapter 1. Vector Measures. 1.1 Elementary properties

SEPARABILITY OF STOCHASTIC PROCESSES

WEAKLY COMPACT OPERATORS ON OPERATOR ALGEBRAS

THEOREMS, ETC., FOR MATH 515

Spectral theory for linear operators on L 1 or C(K) spaces

On the control measures of vector measures. Baltasar Rodríguez-Salinas. Sobre las medidas de control de medidas vectoriales.

ORLICZ - PETTIS THEOREMS FOR MULTIPLIER CONVERGENT OPERATOR VALUED SERIES

MARIA GIRARDI Fact 1.1. For a bounded linear operator T from L 1 into X, the following statements are equivalent. (1) T is Dunford-Pettis. () T maps w

Fragmentability and σ-fragmentability

ON WEAK INTEGRABILITY AND BOUNDEDNESS IN BANACH SPACES

NOWHERE LOCALLY UNIFORMLY CONTINUOUS FUNCTIONS

MUTUAL ABSOLUTE CONTINUITY OF SETS OF MEASURES

The McShane and the weak McShane integrals of Banach space-valued functions dened on R m. Guoju Ye and Stefan Schwabik

Real Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis

Real Analysis Qualifying Exam May 14th 2016

Strictly convex norms and topology

ON JAMES' QUASI-REFLEXIVE BANACH SPACE

Banach Spaces II: Elementary Banach Space Theory

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

SOLUTIONS TO SOME PROBLEMS

Examples of Dual Spaces from Measure Theory

FRAGMENTABILITY OF ROTUND BANACH SPACES. Scott Sciffer. lim <Jl(x+A.y)- $(x) A-tO A

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond

p-variations OF VECTOR MEASURES WITH RESPECT TO VECTOR MEASURES AND INTEGRAL REPRESENTATION OF OPERATORS

Real Analysis Problems

SINGULAR MEASURES WITH ABSOLUTELY CONTINUOUS CONVOLUTION SQUARES ON LOCALLY COMPACT GROUPS

SOME BANACH SPACE GEOMETRY

TWO CHARACTERIZATIONS OF POWER COMPACT OPERATORS

BANACH SPACES WHOSE BOUNDED SETS ARE BOUNDING IN THE BIDUAL

THE BANACH SPACE S IS COMPLEMENTABLY MINIMAL AND SUBSEQUENTIALLY PRIME

MAT 578 FUNCTIONAL ANALYSIS EXERCISES

MATH 426, TOPOLOGY. p 1.

THE ALTERNATIVE DUNFORD-PETTIS PROPERTY FOR SUBSPACES OF THE COMPACT OPERATORS

Research Article The (D) Property in Banach Spaces

OPERATOR THEORY ON HILBERT SPACE. Class notes. John Petrovic

(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define

Compactness in Product Spaces

QUASI-REFLEXIVE SPACES1

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Packing-Dimension Profiles and Fractional Brownian Motion

Compact operators on Banach spaces

Math 421, Homework #9 Solutions

Weak-Star Convergence of Convex Sets

Real Analysis Notes. Thomas Goller

Brownian Motion and Conditional Probability

5 Measure theory II. (or. lim. Prove the proposition. 5. For fixed F A and φ M define the restriction of φ on F by writing.

Chapter 8 Integral Operators

Lebesgue Integration: A non-rigorous introduction. What is wrong with Riemann integration?

The Measure Problem. Louis de Branges Department of Mathematics Purdue University West Lafayette, IN , USA

Examples of Convex Functions and Classifications of Normed Spaces

NUMERICAL RADIUS OF A HOLOMORPHIC MAPPING

Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem

THE DUAL FORM OF THE APPROXIMATION PROPERTY FOR A BANACH SPACE AND A SUBSPACE. In memory of A. Pe lczyński

UNCONDITIONALLY CONVERGENT SERIES OF OPERATORS AND NARROW OPERATORS ON L 1

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous:

A NOTE ON COMPARISON BETWEEN BIRKHOFF AND MCSHANE-TYPE INTEGRALS FOR MULTIFUNCTIONS

TWO ERGODIC THEOREMS FOR CONVEX COMBINATIONS OF COMMUTING ISOMETRIES1 - S. A. McGRATH

BANACH SPACES \MITH THE (CRP) AND DOMTNATED OPERATORS ON C(K)

Maths 212: Homework Solutions

PCA sets and convexity

FATOU'S LEMMA IN INFINITE-DIMENSIONAL

Homework 11. Solutions

DENSE ALGEBRAS OF FUNCTIONS IN Lp

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents

Analysis Comprehensive Exam Questions Fall F(x) = 1 x. f(t)dt. t 1 2. tf 2 (t)dt. and g(t, x) = 2 t. 2 t

Transcription:

THE RANGE OF A VECTOR-VALUED MEASURE J. J. UHL, JR. Liapounoff, in 1940, proved that the range of a countably additive bounded measure with values in a finite dimensional vector space is compact and, in the nonatomic case, is convex. Later, in 1945, Liapounoff showed, by counterexample, that neither the convexity nor compactness need hold in the infinite dimensional case. The next step was taken by Halmos who in 1948 gave simplified proofs of Liapounoff's results for the finite dimensional case. In 1951, Blackwell [l] considered the case of a measure represented by a finite dimensional vector integral and obtained results similar to those of Liapounoff for these measures. Various versions of Liapounoff's theorem appeared in the 1950's and 1960's, and in 1966, Lindenstrauss [8] gave a very elegant short proof of Liapounoff's earlier result. Finally, in 1968, Olech [9] considered the case of an unbounded measure with range in a finite dimensional vector space. The purpose of this note is to demonstrate that the closure of the range of a measure of bounded variation with values in a Banach space, which is either a reflexive space or a separable dual space, is compact and, in the nonatomic case, is convex. To this end, let ii be a point set and 2 be a o--field of subsets of fi. If f is a Banach space, then an f-valued measure is a countably additive function F defined on 2 with values in r. F is of bounded variation if var(f)(n) =sup ll P( ) < oo where the supremum is taken over all partitions t= {p }B=1C2 consisting of a finite collection of disjoint sets in 2 whose union is 12. A set P 2 is an atom of F if F(E) ^0 and ' 2, E'EE imply F(E') = 0 or F(E') = F(E). F is nonatomic if F has no atoms. The following theorem is the main result of this note. Theorem 1. Let %be a Banach space which is either a reflexive space or a separable dual space. If F: 2 >j is a measure of bounded variation, then the range of F is a precompact set in the norm topology of f. Moreover, if F is nonatomic, then the closure of the range of F is compact and convex. Received by the editors January 9, 1969. 158

THE RANGE OF A VECTOR-VALUED MEASURE 159 Proof. Let F and r be as in the hypothesis, and for 2, let p(e) be the variation of F restricted to E. (I.e., p(e) 9^S is the variation of the set function F E(.) = F(E(~\ ) on 2.) Then according to Dinculeanu [2, p. 41], p is a countably additive nonnegative finite measure on 2. Clearly F is absolutely continuous with respect to p.. Hence, in the case f is reflexive or in the case r. is a separable dual space, Phillips' generalization of the Radon-Nikodym theorem [10, p. 30] or the Dunford and Pettis theorem [4, Theorem 2.1.4], respectively, guarantee the existence of a ju-measurable r-valued function fel\p, r) (i.e., /n / a>< ) such that F(E)=fEfdp for all 2. Next, select a sequence of simple functions {/ } in L1(p, r) converging to/ in Ll(p, r) norm and define T and Tn, w= 1, 2,, for gel-bi, C) (C = scalar field of r) by T(g)=fagfdp and Tn(g) =/a gfndp respectively. Then T and Tn are evidently linear and by the Holder inequality, II fgfd»nf\g\\\f\\dp!i\\gu\fu, are bounded. In addition the last computation shows that, in the uniform operator topology, lim Tn T\\ S=limn fa \\f /n rf/* = 0. Now, note that the range of each Tn is finite dimensional since each / is a simple function. Therefore each Tn is compact, and hence, by the above, T: L (p, C) >% is a compact operator. Moreover, since {xb: 2} is contained in the unit ball of Lx(p, C), it follows from the compactness of T that {F(E): E E 2} = if fdp: E si = {T(Xe), E s] is a norm precompact set in f. This proves the first assertion. To prove the second statement, assume that F is nonatomic. Clearly p, as defined above, is also nonatomic. Now, if ir {En} is a partition and/, is the simple function defined by f fdp f' = 2-, 77T. XEn, r p(en) (0/0) =0 and Fr is the indefinite integral of fr, i.e., for 2, / fd,x Fr(E) = Z-^M( nn ), r p(en)

160 J. J. UHL, JR. [October then by [3, Theorem III.2.15] and [3, Theorem IV.8.18], lim var(p - FT) = lim f \\f - fj\dp = 0, where the limit is taken in the Moore-Smith sense after the collection of all partitions is directed by the partial ordering of refinement. Next note that each of the f-valued measures FT has its values in a finite dimensional subspace of r. Also, since p. is nonatomic, it follows easily that each FT is nonatomic and hence by Liapounoff's theorem [5] has a convex range. Now let x, y belong to the closure of the range of F, a and /3 be nonnegative numbers with a+fi = 1, and >0 be given. Select Ex and 2 2 such that x-f( i) j <e/2 and y P( 2) <e/2. Then choose a partition t0 subject to the conditions that tto ^ {Pi - E2,E2 - Ex,Exr\E2,Q - (Pi W E2)} and that var(p * ) <«/2. It is not difficult to see that F*.(Ei) = f fdp = F(Ei), J Ei i= 1,2, Moreover, since the range of Fr is convex, there exists a set o 2 such that Fri>(Eo)=aFTO(Ex)+l3F 0(E2)=aF(Ex)+PF(E2). Combining these relationships, one has \\ax + 0y- F(Eo)\\ = \\ax + 0y- (af(ex)) + P(F(E2)) + P.0( ) - P( 0)[ ^ a\\x - F(Ex)\\ + $\\y - F(E2)\\ + P,0( 0) < at/2 + /3(/2 + e/2 = e, - F(,) since a+/3=l and pto( 0)-P( o) ^var(pt0-p)< /2. Thus the closure of the range F is convex. Q.E.D. The following corollary is clear. Corollary 2. Under the same hypothesis, if the range of F is closed, then it is norm compact. If F is nonatomic and its range is closed, then its range is compact and convex. Neither the theorem nor its corollary have immediate improvements. Below are two examples, the first indicates that if the hypothesis on is weakened, the conclusion of Theorem 1 fails, and the second, which is due to Liapounoff, shows that a measure may satisfy the hypothesis of Theorem 1 and fail to have a compact or convex range.

i969] THE RANGE OF A VECTOR-VALUED MEASURE 161 First, let fi= [0, l], 2 be the Borel tr-field of subsets of 2 and X be Lebesgue measure on 2. Define F: 2 tl1^, 2, p) by ( ) = xe, where Xe is the characteristic or indicator function of 2. Clearly F is nonatomic, and since ( ) = x«= X( ), is evidently countably additive and of bounded variation. It will now be shown that the closure of the range of F is neither compact nor convex. To show the range of F is not precompact, consider the Borel sets 2Cm-l) Em = U Emn, m = 1, 2, n=l where Em is the closed interval [2(n l)/2m, (2n l)/2m] for n = 1, 2,, 2(m_1). A brief computation yields xs; Xej\\ =1/4 for i^j. Thus {xe } = { F(Em)} is a sequence in the range of F with no convergent subsequence; i.e., the range of F is not precompact. To show that the closure of the range of F is not convex, note that the function 1/2x0 = l/2x*. + l/2xs2 where i= [0, 1/2] and 2= [1/2, l] is a convex combination of members of the range of F. But, if 2 is arbitrary \\F(E) - l/2xi, = x* - l/2xo = 1/2X(0 - E) + 1/2\(E) = 1/2. Thus the closure of the range of F is not convex. Remark. It is noted here that in view of Theorem 1, this example provides another proof of the fact that the separable space Lx(fi, 2, p) is not a dual space. Also this example provides a simple set function F absolutely continuous with respect to X but which has no Radon- Nikodjmi derivative with respect to X. To see this, note that if were an integral with respect to X then the proof of Theorem 1 would show that the range of F were compact. Finally the example constructed by Liapounoff in [6] will be given with a minor modification to show that even if a vector measure F satisfies the hypothesis of Theorem 1, then its range need not be compact or convex. It is given here for completeness and because of the one small modification. Let [0, 27r] =0, 2 be the Borel o--field of subsets of fi, and X be Lebesgue measure on 2. Let {$n}n-o be a complete orthogonal set in L2(\, C) such that each \pi assumes only the values +1 and 1 and such that d/0 = +1 while f02r \pnd\ = 0 for re>0.1 Defining / on 2 by 1 Any normalized Haar basis will suffice.

162 J. J. UHL, JR. [October and P: ->P by / ( ) = 2-" f ((1 + fn)/2)d\, E E 2 J E F(E) = (Io(E),Ix(E),- -,/ ( ),- ), one finds p( ) r = 2 X( ) so shat Pis of bounded variation. Clearly P is nonatomic; therefore since F has its values in the reflexive space I2 Theorem 1 guarantees the closure of the range of F is compact and convex. Now consider P(fl) = (27r, t/2, t/4,, x/2n, ) and suppose there exists an 2 such that F(E) = F(Q)/2. Then t = I0(E) = Je d\ = \(E) and for n>0 7r/2"+1 = / ( ) = 2- f ((1 + +n)/2)d\ = \(Er\U )/2" where /B={s [0, 27r]: ipn(s) = +1}. It follows immediately from this and the facts that X(17B) =X( ) =7r that X( Pi 7J ) =X( - /B) = \(Un-E)=\(-E-Un)=T/2 for all w>0. Now define co on «by co(x) = +1 for xee, u(x) = 1 for x. Then /q' \poojd\ = T 7r = 0, and for w>0 f ^ o ^BcorfX = \(Un Pi ) + A(- Z7B - ) - X( - Un) ~ X( - Un) = 0. This contradicts the fact that {$n} was complete in L2(\, C) and shows two things: first, that even under the hypothesis of Theorem 1, such a measure P need not have a convex range and second, that in view of Corollary 2 that the range of such a measure need not be closed. Thus Theorem 1 cannot be improved under the current hypothesis. It would be interesting to remove the restrictions imposed by Theorem 1 on the range space j. If % is allowed to be a general Banach space and F is an f-valued measure of bounded variation, then one can assert that the range of F is precompact and that, in the nonatomic case the closure of the range of F is convex if, as the proof of Theorem 1 shows, F has the representation F(E)=fEfdu, G2 for some measure p, and some measurable/ with fa /[ dju< oo. However, this restriction appears, to the author, to be too severe for a general result.

i969l the range of a vector-valued measure 163 References 1. D. Blackwell, The range of certain vector integrals, Proc. Amer. Math. Soc. 2 (1951), 390-395. 2. N. Dinculeanu, Vector measures, Pergamon Press, New York, 1967. 3. N. Dunford and J. T. Schwartz, Linear operators, Part I, Interscience, New York, 1958. 4. N. Dunford and B. J. Pettis, Linear operations on summable functions, Trans. Amer. Math. Soc. 47 (1940), 323-342. 5. Paul R. Halmos, The range of a vector measure, Bull. Amer. Math. Soc. 54 (1948), 416-421. 6. A. Liapounoff, On completely additive vector functions, Izv. Akad. Nauk. SSSR 4 (1940), 465-478. (Russian) 7. -, On completely additive vector functions, Izv. Akad. Nauk. SSSR 10 (1946), 277-279. (Russian) 8. Joram Lindenstrauss, A short proof of Liapounoff's convexity theorem, J. Math. Mech. 15 (1966), 971-972. 9. C. Olech, On the range of an unbounded vector-valued measure, Math. Systems Theory 2 (1968), 251-256. 10. R. S. Phillips, On weakly compact subsets of a Banach space, Amer. J. Math. 65 (1943), 108-136. 11. M. M. Rao, Decomposition of vector measures, Proc. Nat. Acad. Sci. U. S. A. 51 (1964), 771-774. University of Illinois