Ezzaki Some various convergence results for multivalued A certain limit of iterated conditional tail expectation 99 Convexity of the lower partition range of a concave vector Pythagorean
Trang 1www.SolutionManual.info
Trang 3Jean-Michel Grandmont
CREST-CNRSMalakoff, FRANCE
Norimichi Hirano
Yokohama NationalUniversity
Seiichi Iwamoto
Kyushu UniversityFukuoka, JAPAN
Marcel K Richter
University of MinnesotaMinneapolis, U.S.A
Yoichiro Takahashi
Kyoto UniversityKyoto, JAPAN
Makoto Yano
Kyoto UniversityKyoto, JAPAN
Trang 4Aims and Scope. The project is to publish Advances in Mathematical Economics once a year under the auspices of the Research Center for Math-
ematical Economics It is designed to bring together those mathematicianswho are seriously interested in obtaining new challenging stimuli from eco-nomic theories and those economists who are seeking effective mathematicaltools for their research
The scope of Advances in Mathematical Economics includes, but is not
limited to, the following fields:
– Economic theories in various fields based on rigorous mathematical
reasoning
– Mathematical methods (e.g., analysis, algebra, geometry, probability)
motivated by economic theories
– Mathematical results of potential relevance to economic theory.
– Historical study of mathematical economics.
Authors are asked to develop their original results as fully as possible andalso to give a clear-cut expository overview of the problem under discussion.Consequently, we will also invite articles which might be considered too longfor publication in journals
www.SolutionManual.info
Trang 5S Kusuoka, T Maruyama (Eds.)
Advances in
Mathematical Economics Volume 13
123
www.elsolucionario.org
Trang 6Shigeo Kusuoka
Professor
Graduate School of Mathematical Sciences
The University of Tokyo
mate-Printed on acid-free paper
Springer is part of Springer Science+Business Media (www.springer.com)
DOI 10.1007/978-4-431-99490-9
www.SolutionManual.info
Trang 7Table of Contents
Research Articles
F Akhiat, C Castaing, and F Ezzaki
Some various convergence results for multivalued
A certain limit of iterated conditional tail expectation 99
Convexity of the lower partition range of a concave vector
Pythagorean mathematical idealism and the framing of
Instructions for Authors
Subject Index
Historical Perspective
J Honda and S.-I Takekuma
S Kusuoka
T.Q Bao and B.S Mordukhovich
N Sagara and M Vlach
A.J Zaslavski
201207M.A Khan and A.J Zaslavski
Trang 8Adv Math Econ 13,1 33(2010)
Some various convergence results
for multivalued martingales
Fettah Akhiat1, Charles Castaing2, and Fatima Ezzaki1
1 Laboratoire mod´elisation et calcul scientifique, D´epartement de Math´ematiques,Facult´e des Sciences et Techniques, BP 2202, Universit´e Sidi Mohamed BenAbdellah, Fes, Morocco
(e-mail: akhiatfettah@yahoo.fr, fatimaezzaki@yahoo.fr)
2 D´epartement de Math´ematiques, Universit´e Montpellier II, 34095 MontpellierCedex 5, France
topol-Key words: martingale, submartingale, supermartingale, mil, conditional
expecta-tion, Mosco convergence, linear topology, Pettis
1 Introduction
The purpose of this paper is to present various convergence results for gales, submartingales, supermartingales and mils with respect to the Moscotopology and the linear topology both in Bochner integration and Pettis in-tegration The paper is organized as follows In 2, we set our notation anddefinitions, and summarize needed results In 3, we state some convergence
martin-We heartily thank the referee for helpful comments and suggestions.
S Kusuoka, T Maruyama (eds.), Advances in Mathematical Economics Volume 13, 1 DOI: 10.1007/978-4-431-99490-9 1,
c
Springer 2010
www.elsolucionario.org
www.SolutionManual.info
Trang 92 F Akhiat et al.
theorems for convex weakly compact valued submartingales, mils and bounded closed convex supermartingales in Bochner integration In 4, wepresent various convergence theorems for convex weakly compact valuedPettis-integrable multifunctions Several existence theorems of conditionalexpectation for convex weakly compact valued Pettis-integrable multifunc-tions and an integral representation theorem for a convex weakly compactvalued multifunction defined on L1 or more generally on a K¨othe spaceare also provided In 5, we provide some versions of Levy’s theorem forPettis-integrable multifunctions Specific applications to the convergence ofmultivalued Pettis-integrable martingales are given at the end of 5
un-To our knowledge, not many results in this area are known We refer
to [17–21,25,27–30,32–35,37,40–42] for related results on martingales andmils The results presented here are motivated by some applications in Mathe-matical Economics and the Law of Large Numbers (see, e.g [8,9,12,15,26])
2 Preliminaries and background
Let ;F; P / be a complete probability space, Fn/n2N an increasing quence of sub -algebras of F such that F is the -algebra generated by
se-[n1Fn Let E be a separable Banach space, Ethe topological dual of E,
D D x
j/j 2Na dense sequence in Ewith respect to the Mackey ogy E; E/, BE (resp BE) the closed unit ball of E (resp E) Let
topol-cc.E/ (resp cwk.E/) (resp ck.E/) be the set of nonempty closed convex
(resp weakly compact convex) (resp compact convex) subsets of E Given
C 2 cc.E/, the distance function and the support function associated with
C are defined respectively by
d.x; C /D inffkx yk; y 2 C g x 2 E/
ı.x; C /D supf< x; y >; y2 C g x2 E/:
A cc.E/-valued mapping C W ! cc.E/ is F-measurable, if its graph
belongs to F ˝ B.E/, where B.E/ is the Borel tribe of E For any C 2
For each n 2 N[f1g, we denote byL1
cwk.E/.Fn/ (withF1 D F) the space
of all Fn-measurable cwk.E/-valued multifunctions X W ! cwk.E/
Trang 10Some various convergence results for multivalued martingales 3
such that ! ! jX.!/j is integrable A sequence Xn/n2N of cc.E/-valuedmultifunctions (mappings for short) is adapted if each XnisFn-measurable
A sequence Xn/n2NinL1
cwk.E/.F/ is bounded (resp uniformly integrable)
if the sequence jXnj/n2Nis bounded (resp uniformly integrable) in L1R.F/.
A F-measurable closed convex valued multifunction X W ) E is integrable if it admits an integrable selection, equivalently if d.0; X / is integrable A closed convex set C in E is ball-weakly compact, if its intersec-
tion with any closed ball in E is weakly compact A cc.E/-valued sequence
.Xn/n2NMosco-converges [36] to a closed convex set X1if
Beer [3] showed that the topology Lis stronger than the Mosco topology
If the strong dual Eb of E is separable and X is an element of
L1
cwk.E/.F/, for each n 2 N, it is known that the conditional
expecta-tion of X with respect toFn, EFnX , is the unique element (for = a.s.) of
Trang 11where H stands for the Hausdorff distance on cwk.E/.
From the definition, it is easy to check that, for each x2 BE, the sequence
Proposition 3.1 Let E be a Banach space Let An/n2N be a sequence in
cwk.E/ Assume that there exist A12 cwk.E/ and a sequence Bn/n2Nin
cwk.E/ which satisfy:
www.elsolucionario.org
Trang 12Some various convergence results for multivalued martingales 5
Proposition 3.2 Let E be a separable Banach space Let D1D fe
j; j 2 Ng
be a dense sequence inBEwith respect to Mackey topology E; E/ Let
.An/n2Nbe a sequence in cwk.E/ and A1WD s-li An2 cwk.E/ Assume
that
limn!1ı
.ej; An/D ı.ej; A1/ 8j 2 N:
Then the following holds
limn!1d.x; An/D d.x; A1/ 8x 2 E:
Proof For each n 2 N and for each x 2 E we have
(3.2.1) d.x; An/D sup
j 2NŒ< e
j; x >ı.ej; An/:
For each j 2 N, the sequence < ej; x > ı.ej; An//n2N converges to
< ej; x >ı.ej; A1/ By (3.2.1), for each j 2 N and for each n 2 N, we
www.SolutionManual.info
Trang 136 F Akhiat et al.
Remark If An and A1are convex compact, we may replace in tion3.2the set D1by H1 D h
Proposi-j/j 1where hj/j 2Nis a dense sequence
in the closed unit ball BE, with respect to the topology E; E/ that
coin-cides on BEwith the topology of compact convergence
Now we are ready to state the almost surely convergence with respect tothe Mosco topology and the Ltopology for cwk.E/-valued martingales andmils
Theorem 3.1 Assume thatEbis separable Let.Xn/n2N be a bounded mil
in L1
cwk.E/.F/ and X1 2 L1
cwk.E/.F/ such that for each x 2 BE,
limn!1ı.x; Xn/D ı.x; X1/ a:s: Then the following hold:
(i) M - limn!1EFnX1D X1a.s.
(ii) limn!1H.Xn; EFnX1/D 0 a:s:
Proof We will proceed in several steps
Step 1 ClaimM - limn!1EFnX1D X1a.s
We have to prove that
w-ls EFnX1.!/ X1.!/ s-li EFnX1.!/
for a.s ! 2 Let us check the inclusion
X1.!/ s-li EFnX1.!/ a:s:
Let f 2 S1
X 1 By Levy’s theorem for regular martingale EFnf , we have
that limn!1EFnf !/ D f !/ a.s with respect to the norm topology
Since EFnf !/ 2 EFnX1.!/, it follows that f !/ 2 s-li EFnX1.!/
a.s Taking a Castaing representation of X1 (see [16, Theorem III-37]) wededuce that X1.!/ s-li EFnX1.!/ a.s Now we prove the inclusionw-ls EFnX1.!/ X1.!/ a.s Let DD x
j/j 2Nbe a dense sequence in
Ewith respect to the Mackey topology E; E/ Applying Levy’s
theo-rem to the L1-bounded real-valued martingales EFnı.xj; X1/ and taking
the well-known property for multivalued conditional expectation [43] givelim
n!1ı
.xj; EFnX1/D lim
Fnı.xj; X1/D ı.xj; X1/
Trang 14Some various convergence results for multivalued martingales 7
a.s Now let ! 2 be fixed but arbitrary for which the preceding ity holds and let x 2 w-ls EFnX1.!/ There is a sequence xk k2N in
equal-EFnkX1.!/ such that xk k2N weakly converges to x For each j 2 N
According to Proposition III-35 in [16], we deduce that x 2 X1.!/
Step 2 Claim limn!1H.Xn; EFnX1/D 0 a.s If Xn/n2Nis an E-valuedbounded mil in L1E.F/, then jjXn EFnX1jj goes to 0 a.s by virtue of a
result of Talagrand [41, Theorem 6, p 1193], because for each x 2 BE,the real-valued L1-bounded mil hx; Xn EFnX1i/n2N converges to 0a.s In the multivalued case, the claim (ii) is true by using the Definition2.1and a careful adaptation of the techniques of Talagrand developed in [41,Theorem 6, p 1193], namely limn!1H.Xn; EFnX1/ D 0 a.s (see [6,7]for details)
Step 3 limn!1ı.x; Xn/D ı.x; X1/ a:s: 8x2 BE:
Let fj/j 2Nbe a dense sequence in the closed unit ball BE with respect tothe topology of the dual norm For each x2 BElet us write
jı.x; Xn/ ı.x; X1/j jı.x; Xn/ ı.x; EFnX1/j
Cjı
.x; EFnX1/ ı
.x; X1/j:
From i i /, it is obvious that the first term jı.x; Xn/ ı.x; EFnX1/j
goes to 0 a.s for all x2 BE when n goes to 1 and so is the second term
Trang 15The following result is concerned with submartingales.
Theorem 3.2 Assume that Eb is separable Let Xn/n2N be a bounded submartingale in L1
cwk.E/.F/ and X1 2 L1
cwk.E/.F/ such that for each
x2 BE, limn!1ı.x; Xn/D ı.x; X1/ a:s:
Then the following hold:
(i)M - limn!1EFnX1D X1a.s.
(ii) limn!1H.Xn; EFnX1/D 0 a:s:
Proof Step 1 Claim M - limn!1EFnX1D X1a.s The proof is the same
as the one of Theorem3.1and is omitted
Step 2 Claim limn!1H.Xn; EFnX1/D 0 a.s
Step 3 limn!1ı.x; Xn/D ı.x; X1/ a:s: 8x2 BE:
Let fj/j 2Nbe a dense sequence in the closed unit ball BE with respect tothe topology of the dual norm For each x2 BElet us write
Trang 16Some various convergence results for multivalued martingales 9
From i i /, it is obvious that the first term jı.x; Xn/ ı.x; EFnX1/j
goes to 0 a.s for all x2 BE when n goes to 1 and so is the second term
cwk.E/.F/ and the
relationship with the cwk.E/-valued regular martingale EFnX1, namely
limn!1H.Xn; EFnX1/D 0 a:s:
In Theorem 3.2we provide an alternative proof of this property for martingales via Lemma V.2.9 in [39], while in the case of mils, Talagrand’stechniques are needed to obtain this result
sub-We end this section by providing a new version of Mosco convergence
results for unbounded supermartingales For this purpose, in the remainder
of this section, the conditional expectation is taken in the sense of Hiai–Umegaki [27] IfB is a sub--algebra of F, F W ) E is an integrable F-measurable multifunction, Hiai and Umegaki [27] showed the existence
of aB-measurable and integrable multifunction G such that
SG1.B/ D clfE B W f 2 S1
F.F/g;
www.SolutionManual.info
Trang 1710 F Akhiat et al.
where SF1.F/ and S1
G.B/ is the set of all F-measurable (resp B-measurable)
integrable selections of F and G respectively, the closure being taken in
L1E.;F; P / G is the multivalued conditional expectation of F relative to
B The conditional expectation G WD E BF of Hiai and Umegaki can be
de-fined as the essential supremum of fEB W f 2 S1
F.F/g For more
informa-tion on the Hiai–Umegaki condiinforma-tional expectainforma-tion, see [27] A cc.E/-valuedintegrable sequence Xn/n2N is a supermartingale if Xn isFn-measurable
for each n 2 N and EFnXnC1 Xnfor each n 2 N For the convenience
of the reader we recall and summarize a tightness condition in the space
L1
cwk.E/.;F; P / A sequence Xn/n2N inL1
cwk.E/.F/ is cwk.E/-tight
if, for every " > 0; there is a cwk.E/-valuedF-measurable multifunction
Proof See, e.g [9, Proposition 3.3(i)]
We need a preliminary lemma
Lemma 3.1 Let Xn/n2N be a uniformly integrable supermartingale in
(b) limn!1d.x; Xn/D d.x; X1/ a.s for all x 2 E.
(c) EFmX1 Xma.s for allm2 N.
Proof (a) Let D1 D e
j/j 2Nbe a dense sequence in BE for the Mackeytopology E; E/ As Xn/n2N is a uniformly integrable cwk.E/-valuedsupermartingale in L1
cwk.E/.F/, for each j 2 N, ı.ej; Xn//n2N is abounded real-valued supermartingale in L1R.F/ So it converges a.s for every
j 2 N to a function mj in L1 Applying [14, Theorem 6.1] to the uniformly
www.elsolucionario.org
Trang 18Some various convergence results for multivalued martingales 11
integrable cwk.E/-tight sequence Xn/n2Nprovided a subsequence Xn0/n2N
and X12 L1
cwk.E/.F/ such that for each v 2 L1
E .F/ the following hold
limn!1
thereby proving (c) (see [16, Proposition III-35])
The following result is an extension of a similar one due Choukairi [18,Theorem 2.14] dealing with reflexive separable Banach space and is a vari-ant of a result due to Hess [25, Theorem 5.12] Compare with similar resultsobtained in [18,32,33] for bounded martingales and sub- and supermartin-gales in Banach spaces with RNP property and strongly separable dual usingthe method of selection martingales (see, e.g [18, Proposition 2.7, Theo-rem 2.8]) We stress the fact that here we deal with unbounded supermartin-gales in separable Banach spaces without RNP property
Theorem 3.3 Let Xn/n2N be a closed convex integrable supermartingale
Trang 19Proof We will proceed in several steps.
Step 1 Here we will use a careful adaptation of a truncation technique
devel-oped in [18, Theorem 2.16] By our assumption there is f 2 L1E.F/ such
that fn D EFnf for all n 2 N For each k 2 N, let us consider the
multi-function
Xnk D Xn\ ŒfnC EFn.jf j C k/BE:
We are going to check that Xnk/n2N is a uniformly integrable valued supermartingale inL1
cwk.E/-cwk.E/.F/ By i/ and Proposition3.3, Xnk/n2N
is cwk.E/-tight Let m < n As Xnk Xn, by supermartingale property and
by monotonicity of conditional expectation one has
nfor all n 2 N, where
hknWD jfnj C EFn.jf j C k/ Further the uniformly integrable submartingale.hkn/n2Nconverges a.s to a positive integrable function hk Hence there exists
a positive constant rk depending on ! 2 such that hkn rk a.s for all
n 2 N So jXk
nj rk a.s for all n 2 N Applying Lemma3.1(a), (b) (c)
to the cwk.E/-tight uniformly integrable supermartingale Xnk/n2Nprovides
Trang 20Some various convergence results for multivalued martingales 13
Let f 2 SX11 By (3.3.5) we have EFnf !/2 Xn.!/ By Levy’s theorem
we have limn!1EFnf D f a.s Hence f !/ 2 s-liXn.!/ a.s Taking a
Castaing representation of X1we get X1.!/2 s-liXn.!/ a.s
4 Convergences and conditional expectation
in Pettis integration
We present in this section some new convergence results for Pettis-integrable
cwk.E/-valued multifunctions and also we state the existence of conditional
www.elsolucionario.org
www.SolutionManual.info
Trang 2114 F Akhiat et al.
expectations for these multifunctions A multifunction X W ) cwk.E/
is Pettis-integrable if X is F-measurable and scalarly integrable (that is
ı.x; X.:// is integrable for every x2 E) and if the scalarly integrable lections of X are Pettis-integrable Let us denote byS1
se-P e.X /.F/ the set of all F-measurable and Pettis-integrable selections of X By [16, Theorem V-13],
S1
P e.X /.F/ is convex and compact with respect to the topology of pointwise
convergence on L1˝ E, namely the topology PE1.F/; L1.F/ ˝ E/,
where PE1.F/ is the space of all F-measurable and Pettis-integrable
E-valued functions defined on ;F; P / The usual Pettis norm jjf jjP e of
cwk.E/.Fn/ Given a sub--algebra B and a
cwk.E/-valued Pettis integrable multifunction X 2 P1
cwk.E/.F/, the Pettis tional expectation of X is, by definition, a B-measurable cwk.E/-valued
condi-Pettis-integrable multifunction denoted by P e-EBXnwhich satisfies
Definition 4.1 An adapted sequence.Xn/n2Nin P1
cwk.E/.F/ is a mil if for every " > 0, there exists p such that for n p, we have
P sup
pqnH.Xq; P e-EFqXn/ > "/ < ";
where H stands for the Hausdorff distance on cwk.E/ and P e-E FqXn is the Pettis conditional expectation ofXnassociated with the -algebra Fq
Trang 22Some various convergence results for multivalued martingales 15
Accordingly, our main task is to prove the existence of Pettis conditional pectation forF-measurable cwk.E/-valued Pettis-integrable multifunctions.
ex-We will provide first some preliminary results in multivalued Pettis tion which lead us to the existence of conditional expectation in this class ofmultifunctions It is worth to address the following related question Given a
integra-F-measurable and scalarly integrable cwk.E/-valued (resp ck.E/-valued) mapping X W ) E, find sufficient conditions for which X is cwk.E/- Pet- tis (resp ck.E/- Pettis) in the sense: for each A 2 F there is KA2 cwk.E/
(resp ck.E/) such thatR
Aı.x; X /dP D ı.x; KA/ for all x2 E Inother words, KA is the cwk.E/ (resp ck.E/) Pettis integral of X over A.
When X W ! E isF-measurable and scalarly integrable E-valued
map-ping, the preceding notions coincide with the classical definition of integrability In the following we will provide the answer to this question
Pettis-Proposition 4.1 Let.Xn/n2Nbe a sequence in P1
cwk.E/.F/ and respectively
(ii) For each A 2 F, RAXndP /n2N is Cauchy in.cwk.E/;H/ resp:
.ck.E/;H//, here H is the Hausdorrf distance on cwk.E/ resp:ck.E// Then for eachA2 F, there is KA2 cwk.E/ resp:ck.E// such that
Proof By i i / For each A 2F, RAXndP /n2N is Cauchy in cwk.E/;H/
(resp .ck.E/;H/), hence RAXndP /n1 converges in cwk.E/;H/ (resp.
.ck.E/;H// to a convex weakly compact (resp convex compact) set KA
scalarly integrable mapping satisfying:
(i) For eachA2 F, limn!1R
Aı.x; Xn/dP DR
Aı.x; X /dP for all
x2 E.
www.SolutionManual.info
Trang 23(iii) Xn/n2N is Pettis uniformly integrable, that is, for every " > 0, there
exist > 0 such that every A 2 F with P.A/ < , one has
supn1xsup2BE
A\B k
XndP / ı
.x;Z
A\B k
XmdP /jC
Z
An.A\Bk/jı.x; Xn/ ı.x; Xm/jdP
for each x 2 BE , m; n 2 N, each A 2 F and for each k 2 N Let
" > 0 For k large enough, using (iii) we have P A n A \ Bk// < so that
supn1supx 2BE
R
An.A\B k /jı.x; Xn/jdP < " Hence the last integral is
< 2" Now k being chosen, the integral
Trang 24Some various convergence results for multivalued martingales 17
is " for m; n large enough using (ii) By taking the supremum on BE inthe left member of the inequality
jı
.x;Z
AXndP /
ı
.x;Z
cwk.E/.F/ satisfying the Pettis uniformly integrable condition (iii)
Com-pare with Theorem 1 in [37] dealing Vitali theorem for single-valued integrable functions
Pettis-In the following we will provide a simple criteria of Pettis integrabilityvia compactness results in Set-Valued Bochner integration [16]
Theorem 4.2 Let E be a separable Banach space Let X be a cwk.E/ resp:ck.E//-valued Pettis-integrable mapping Then there exist a sequence
further, for each n 2 N, the multifunction Xn WD 1AnX is cwk.E/-valued
(resp ck.E/-valued) F-measurable and integrably bounded, consequently
the set ofF- measurable selections of 1AnX is convex weakly compact in
L1E.F/ (see, e.g [13, Theorem 6.2.3]), henceR
A1AnXdP /n2N is Cauchy in cwk.E/;H/ (resp .ck.E/; H/).
Let " > 0 Let us choose N large enough so that P A n A \ AN/ implies
www.SolutionManual.info
Trang 25se-converges to a convex weakly compact (convex compact) set KA with spect to the Hausdorff distance In particular, we have
re-limn!1ı
.x;Z
In the single valued case, namely X 2 PE1, the above results are reduced
to the classical Pettis integral The following characterisation of Pettis grability is well-known (see, e.g [13,24,38]) An inspection of the proof ofTheorem4.2provides an alternative proof
Trang 26inte-Some various convergence results for multivalued martingales 19
Corollary 4.1 LetX W ! E be a scalarly F-measurable and scalarly
integrable mapping Then the following is equivalent
Proof The implication a/ ) b/ is well-known (see, e.g [1]) To prove that
.b/ ) a/ one can repeat the arguments of the proof of Theorem4.2 Let
AnD ŒjXj n for each n 2 N Then An2 F with " limnP An/D 1 Now
we assert that for each A 2F, the sequence RA1AnXdP /n2Nis Cauchy in
E Let " > 0 Let us choose N large enough so that P A n A \ AN/
A1AnXdP
i hx
;Z
A1AmXdP
ij
D jZ
Ahx; 1AnXidP
Z
Ahx; 1AmXidP j
Z
A1AnXdP
Z
A1AmXdPjj < ":
Hence we conclude that R
AXndP /n2N is a Cauchy sequence in E quently R
Conse-AXndP /n2Nconverges to an element kA 2 E with respect to the
norm topology In particular, we have
limn!1hx;
Z
A1AnXdPi D hx; kAi
www.elsolucionario.org
www.SolutionManual.info
Trang 27of the preceding results can be found in [2,13,24,31].
The above considerations lead to the existence of conditional expectation
of a special class of cwk.E/-valued Pettis-integrable multifunctions pare with [21,42] for details and comments on this subject We begin withsingle-valued Pettis-integrable functions
Com-Theorem 4.3 Assume that E is a separable Banach space Let B be a sub- -algebra of F and X be a Pettis-integrable E-valued function such that EB jXj 2 Œ0; C1Œ Then there exists a unique B-measurable, Pettis-
integrable E-valued function, denoted by P e-E B X , which enjoys the
fol-lowing property: For everyh2 L1.B/, one has
P Z
e-hP e-E
BXdP D P
e-Z
hXdP:
Now we proceed to the existence of conditional expectation in a class of
cwk.E/-valued Pettis-integrable multifunctions Namely
Theorem 4.4 Assume that Eb is separable Let B be a sub--algebra of
F and let X be a cwk.E/-valued Pettis-integrable multifunction such that
EB jXj 2 Œ0; C1Œ Then there exists a unique B-measurable,
cwk.E/-valued Pettis-integrable multifunction, denoted by P e-EB X , which enjoys
the following property: For everyh2 L1.B/, one has
P Z
hXdP denote the cwk.E/-valued
Aumann–Pettis integral ofhP e-EB X and hX respectively.
Trang 28Some various convergence results for multivalued martingales 21
Proof Both Theorems4.3and4.4follow from a more general result ing the integral representation theorem (Theorem4.5) for a class of mapping
Let us mention a useful corollary
Corollary 4.2 Under the hypotheses and notations of Theorem 4.3 and 4.4 , the following hold
(1) For every h 2 L1.B/ and for every x 2 E and for every f 2
and henceP e-EBf !/2 P e-EB X.!/ a.s.
(2) For everyh2 L1.B/ and for every x2 E, one has
Trang 2922 F Akhiat et al.
Proof
(1) EqualityR
hh ˝ x; P e-EB idP D R
hh ˝ x; fidP follows from
Theorem4.3and equality
j/j 2Nis a dense sequence in Efor the Mackeytopology, we get
a.s for all j 2 N By Proposition III-35 in [16], we get
P e-EBf !/2 P e-EBX.!/ a.s.
(2) Follows from the Strassen formula [16] applied to the Aumann–Pettismulltivalued integrals of the cwk.E/-valued Pettis-integrable X and
Now establish an integral representation theorem for class of mapping
M W L1.B/ ! cwk.E/ (alias multivalued Dunford–Pettis theorem) in the
vein of [16, Theorem V-17], recovering both Theorems4.3and4.4
Theorem 4.5 Assume thatEbis separable Let B be a sub--algebra of F Let us consider a cwk.E/-valued mapping M W L1.B/ ! cwk.E/ satisfy- ing the following conditions:
(i) For eachx 2 E, the scalar functionh 7! ı.x; M.h// is
contin-uous on bounded subset ofL1.B/ for the topology of convergence in probability.
(ii) M.f C g/ D M.f / C M.g/ if fg 0 for f; g 2 L1.B/.
(iii) There is a sequence.Xn/n2Nin L1
cwk.E/.;F; P / and a B-measurable partition.Bn/n2Nof satisfying
www.elsolucionario.org
Trang 30Some various convergence results for multivalued martingales 23
Proof By virtue of (iii) and Theorem 3 (Remark 4) in [43], for each n 2
N, there is a unique cwk.E/-valuedB-measurable and integrably bounded
B n
hndP; 8h 2 L1
.B/:
Let us define .!/ D n.!/ if ! 2 Bn Then isB-measurable Using i/
it is not difficult to check that
for every h 2 L1.B/ and for every n; l 2 N Let us consider an arbitrary
B-measurable selection g of Then we have
Trang 3124 F Akhiat et al.
for every x2 E By (ii) the multifunction h 7! M.h/ is scalarly continuous
on bounded subsets of L1.B/ with respect to the convergence in probability,
so that from the above estimate and (4.5.1) the sequence
is a L1 B/; L1.B// Cauchy sequence But the pointwise limit of this
se-quence is hx; gi, therefore by classical property of L1space we have
hgdP 2 M.h/ by passing to the limit when
m goes to 1 in (4.5.2) Now we prove that is Pettis-integrable As any
B-measurable selection g of is Pettis integrable, according to our
defini-tion it is enough to check that is scalarly integrable Let x 2 E Bythe measurable implicit Theorem III-38 in [16], there isB-measurable selec-
tion of such that hx; i D ı.x; / We conclude that the
cwk.E/-valuedB-measurable multifunction is Pettis-integrable Let us denote by
S1
P e./.B/ the set of all B-measurable and Pettis-integrable selections of .
ThenS1
P e./.B/ is nonempty convex .P1
E ŒE.B/; L1.B/˝E/ compact,
by applying Theorem V.14 in [16] We finish the proof by showing that
Assume that there is 2 M.h/ n P e-R
hYdP By Hahn–Banach theorem,there is x2 Esuch that
By the measurable implicit theorem [16], there is aB-measurable and
Pettis-integrable selectioneg of such that
Trang 32Some various convergence results for multivalued martingales 25
Using the assumption EB jXj 2 Œ0; C1Œ provides a B-measurable
partition Bn/n2N of and a sequence Xn/n2N WD 1BnX /n2N in
Trang 3326 F Akhiat et al.
(3) Variants of Theorems4.3–4.5are available when dealing with the space
L1EŒE.;F; P / and the space L1
E ŒE.;F; P / (see [15,43]) ther it is possible to formulate the integral representation 4.5 on a Kothespace instead of L1 in the vein of Theorem V-17 in [16] Howeverthe study of the convergence of Pettis conditional expectation for un-bounded cc.E/-valued Pettis-integrable multifunctions in the same style
Fur-as in [9,16,27,43] (dealing with Bochner integration) is an open problem.(4) We will show in next section that convergence of cwk.E/-valued Pettis-integrable martingales with respect to the Mosco topology or lineartopology is now available, using the above techniques and the conver-gence of regular martingales of the form XnD P e-EFnX , where X is
a cwk.E/-valued Pettis-integrable multifunction and P e-EFnX is the
Pettis conditional expectation of X For this purpose, we will provide
in 5 some convergence results for the Pettis conditional expectation ofthe form P e-EFnX with X 2 P1
cwk.E/.F/ and its applications to the
convergence of Pettis-integrable martingales and mils
5 Convergence of cwk.E/-valued Pettis-integrable
martingales
We present first some versions of Levy’s theorem for a cwk.E/-valuedPettis-integrable multifunction This study is a starting point for furtherapplications in the Mosco convergence of Pettis-integrable multivalued mar-tingales, compare with [21,37,42] dealing vector-valued Pettis-integrablemartingales
Proposition 5.1 Assume that E is a separable Banach space and X is a
Pettis-integrable E-valued mapping such that C/ W E FnjXj 2 Œ0; C1Œ for
eachn2 N Then we have
limn!1P e-E
Trang 34Some various convergence results for multivalued martingales 27
for each k 2 N We claim that
limn!1P e-E
FnX D lim
n!1P e-E
FnX
a.s., thus proving the claim and completes the proof
The following is a nontrivial extension of Proposition5.1
Proposition 5.2 Assume that E is a separable Banach space Let Y be a
real-valued positive F-measurable function such that E FnY 2 Œ0; C1Œ for
eachn 2 N Let Xn/n2Nbe a sequence of Pettis-integrable E-valued
func-tions Assume that the following conditions are satisfied:
Trang 3528 F Akhiat et al.
We have the estimate
jP e-EFnXn X1j jP e-EFnXn P e-EFnX1j C jP e-EFnX1 X1j
EFnjXn X1j C jP e-EFnX1 X1j:
From the above estimate and /, /, the result follows
Now we provide a multivalued version of the Levy’s theorem for
cwk.E/-valued Pettis-integrable multifunctions extending Proposition5.1
Theorem 5.1 Assume that Eb is separable Let X be a cwk.E/-valued
Pettis-integrable multifunction such thatEFnjXj 2 Œ0; C1Œ for each n 2 N.
Claim 1X s-li P e-EFnX a:s:
As EFnjXj 2 Œ0; C1Œ for each n 2 N, by Theorem4.4the conditionalexpectations P e-EFnX is Fn-measurable and Pettis-integrable Now let
f 2 S1
P e.X /.F/ By Theorem 4.3 and Corollary 4.2(1), P e-EFnf
is Fn-measurable and Pettis-integrable and satisfies P e-EFnf !/ 2
P e-EFnX.!/ a.s Furthermore, by Proposition5.1, limn!P e-EFnf D f
a.s So we conclude that f 2 s-li P e-EFnX a.s Since this is true for any
f 2 S1
P e.X /.F/, by invoking /, we see that Claim 1 is true
Claim 2w-ls P e-EFnX X a:s:
Let xj/j 2Nbe a dense sequence in Efor the Mackey topology E; E/
Then the calculus of support functions in the integral representation formula
of Theorem4.4[cf Corollary4.2(3)] imply
a.s for all j 2 N Let ! 2 be such that the preceding relations are
satisfied Let x 2 w-ls P e-EFnX.!/ Then xk ! x weakly for some
xk 2 P e-EFnk.X /.!/ and hence
www.elsolucionario.org
Trang 36Some various convergence results for multivalued martingales 29
So x 2 X.!/ because X is convex weakly compact valued [16, Prop III-35]
We end this paper with some new applications to the L convergence
of cwk.E/-valued Pettis-integrable martingales illustrating the above niques Compare with Theorem 3.1 in [21] dealing with Pettis-integrablevector-valued martingales
tech-Theorem 5.2 Assume thatEbis separable and E is such that c0is not morphic to a subspace of E c0 6,! E/ Let Xn;Fn/n2N be an adapted sequence of cwk.E/-valued Pettis-integrable multifunctions satisfying:
iso-(i) EFqjXnj < 1 for each n 2 N and each 1 q < n.
(ii) Xn;Fn/n2N is a cwk.E/-valued Pettis-integrable martingale, that is,
P e-EFnXnC1D Xnfor alln2 N.
(iii) supn2Nsupx 2BE
R
jı.x; Xn/jdP < 1
(iv) There is a partition An/n2N in[1
nD1Fn such that for eachm 2 N,
.XnjAm/n2Nis bounded in L1
cwk.E/.Am/.
(v) XnjAm/n2Nis cwk.E/-tight for each m 2 N.
Then there is a cwk.E/-valued Pettis-integrable multifunction X1such that
Shortly.Xn/n2NL-converges a.s toX1.
Proof By i / and Theorem4.4the Pettis conditional expectations
P e-EFqXn 1 q < n/
exist and belong to P1
cwk.E/.F/ Accordingly the cwk.E/-valued
Pettis-integrable martingale given in i i / exists Now for each m 2 N, let n.m/ 2 N
be such that Am 2 Fn.m/ Then XnjAm;FnjAm/nn.m/is a cwk.E/-valuedmartingale inL1
cwk.E/.Am/ It follows that, for each x2 BE,
.ı.x; XnjAm/;FnjAm/nn.m/
www.SolutionManual.info
Trang 3730 F Akhiat et al.
is a real-valued L1-bounded martingale, so it converges a.s to a function
hmxin L1.Am/ As XnjAm;FnjAm/nn.m/is bounded and cwk.E/-tight in
L1
cwk.E/.Am/ by iv/ and v/, from [14, Theorem 6.1], we can find a quence Xn0jAm/nn.m/and X1m 2 L1
subse-cwk.E/.Am/ such that Xn0jAm/nn.m/
weakly biting converges to X1m 2 L1
cwk.E/.Am/ so that by identifying thelimits we get
mD1X1m1Am Then obviously Xn/n2N L-converges a.s to
X1 It is easy to check that X1isF-measurable By iii/ it follows that, for
every x 2 BE, ı.x; Xn//n2Nis a real-valued L1-bounded martingale,
so it converges a.s to a function in L1 Hence X1is scalarly integrable, andsince c0 6,! E/ any F-measurable and scalarly integrable selection of X1
is Pettis-integrable Accordingly X1is Pettis-integrable
We finish this paper with an application of Theorems4.3–5.2
Corollary 5.1 Assume that E is separable and is such that c0is not phic to a subspace ofE c0 6,! E/ Let Xn;Fn/n2Nbe an adapted sequence
isomor-of E-valued Pettis-integrable functions satisfying:
(i) EFqjXnj < 1 for each n 2 N and each 1 q < n.
(ii) Xn;Fn/n2Nis an E-valued Pettis-integrable martingale, that is, XnD
P e-EFnXnC1for alln2 N.
(iii) supn2Nsupx 2BE
R
jhx; XnijdP < 1.
(iv) There is a partition An/n2N in[1
nD1Fn such that for eachm 2 N,
.XnjAm/n2Nis bounded inL1E.Am/.
(v) XnjAm/n2Nis cwk.E/-tight for each m 2 N.
Then there is an E-valued Pettis-integrable function X1such that.Xn/n2N
norm converges a.s toX1 If.Xn/ is Pettis-uniformly integrable in PE1.F/, then limn!1jjXn X1jjP1
E D 0.
Proof Under our assumption any L1-bounded martingale in L1E.F/
satis-fying the cwk.E/-tightness condition norm converges a.s to a function in
Trang 38Some various convergence results for multivalued martingales 31
L1E.F/, so the result follows from the arguments given in the proof of
The-orem 5.2while the convergence in Pettis norm follows from [1,
Remarks (1) If Ebis separable and if E have the RNP, then one can stitute the tightness condition v/ in Theorem5.2by the following: for each
sub-m2 N, for each A 2 Am\ F, [n2NR
AXndP is relatively weakly compact
in E When E have the RNP, one may recover a former result due to Egghe[21, Corollary 3.2], namely
Corollary 5.2 Assume that E is separable and have the RNP Let
.Xn;Fn/n2N be an adapted sequence of E-valued Pettis-integrable
func-tions satisfying:
(i) EFqjXnj < 1 for each n 2 N and each 1 q < n.
(ii) Xn;Fn/n2Nis an E-valued Pettis-integrable martingale, that is, XnD
P e-EFnXnC1for alln2 N.
(iii) supn2Nsupx 2BE
R
jhx; XnijdP < 1.
(iv) There is a partition An/n2N in[1
nD1Fn such that for eachm 2 N,
.XnjAm/n2Nis bounded inL1E.Am/.
Then there is an E-valued Pettis-integrable function X1such that.Xn/n2N
norm converges a.s toX1 If.Xn/ is Pettis-uniformly integrable in PE1.F/, then limn!1jjXn X1jjP1
E D 0.
(2) The results presented in 5 lead us to address the following question:
is it possible to prove a version of Theorem5.1(resp Theorem5.2) for bounded closed convex valued Pettis-integrable mappings (resp closed con-
un-vex valued Pettis-integrable supermartingales)
(3) The weak star Kuratowski convergence for sub- supermartingales andmils in a weak star dual of a separable Banach space can be found in a forth-coming paper [10]
References
1 Amrani, A., Castaing, C., Valadier, M.: Convergence in Pettis norm under extreme
point condition Vietnam J Math 26(4), 323–325 (1998)
2 Amri, K.E., Hess, Ch.: On the Pettis integral of closed valued multifunctions
Trang 3932 F Akhiat et al.
4 Bourras, A., Castaing, C., Guessous, M.: Olech-types lemma and Visintin-typestheorem in Pettis integration and L1
E 0ŒE Josai Math Monogr 1, 1–26 (1999)
5 Castaing, C.: M´ethode de compacit´e et de d´ecomposition, application: tion, convergence des martingales, lemme de Fatou multivoque Ann Mat Pura
minimiza-Appl (IV) CLXIV, 51–75 (1993)
6 Castaing, C., Ezzaki, F.: Some convergence results for multivalued martingales inthe limit In: S´eminaire d’Analyse Convexe, Montpellier, expos´e No 1 (1990)
7 Castaing, C., Ezzaki, F.: Mosco convergence for multivalued martingales in the
limit C R Acad Sci Paris Ser I 312, 695–698 (1991)
8 Castaing, C., Ezzaki, F.: SLLN for convex random sets and random lower
semi-continuous integrands Atti Sem Mat Fis Univ Modena XLV, 527–553 (1997)
9 Castaing, C., Ezzaki, F., Hess, Ch.: Convergence of conditional expectation for
unbounded closed convex random sets Stud Math 124(2), 133–148 (1997)
10 Castaing, C., Ezzaki, F., Lavie, M., Saadoune, M.: Weak star convergence of tingales in a dual space Working paper, D´epartement de Math´ematiques, Univer-sit´e Montpellier II, September 2009
mar-11 Castaing, C., Hess, Ch., Saadoune, M.: Tightness conditions and integrability ofthe sequential weak upper limit of a sequence of multifunctions Adv Math Econ
11, 11–44 (2008)
12 Castaing, C., Raynaud de Fitte, P.:U-Uniform scalar integrability and strong law
of large numbers for Pettis-integrable functions with values in a separable locally
convex space J Theor Probab 13(1), 93–134 (2000)
13 Castaing, C., Raynaud de Fitte, P., Valadier, M.: Young measures on topologicalspaces With applications in control theory and probability theory Dordrecht:Kluwer 2004
14 Castaing, C., Saadoune, M.: Dunford–Pettis-types theorem and convergences in
set-valued integration J Nonlinear And Convex Anal 1(1), 37–71 (1999)
15 Castaing, C., Saadoune, M.: Convergences in a dual space with applications to
Fatou lemma Adv Math Econ 12, 23–69 (2009)
16 Castaing, C., Valadier, M.: Convex analysis and measurable multifunctions ture notes in mathematics, vol 580 Berlin: Springer 1977
Lec-17 Chatterj, S.D.: Martingale convergence and the Radon–Nikodym theorem Math
Scand 22, 21–44 (1968)
18 Choukairi, A.: M-convergence et r´egularit´e des martingales multivoques In:S´eminaire d’Analyse Convexe, Montpellier, 1987, expos´e No 5 J Multivar Anal
33(1), 49–71 (1990)
19 Choukairi, A.: On almost sure convergence of vector valued pramarts and
multi-valued pramarts J Convex Anal 3(2), 245–254 (1994)
20 Davis, W.J., Ghoussoub, N., Johnson, W.B., Kwapien, S., Maurey, B.: Weak vergence of vector-valued martingales In: Probability in Banach spaces 6 (Sand-bjerg 1986) Boston: Birkhauser Boston, 1990 pp 41–40
con-21 Egghe, L.: Convergence of adapted sequences of Pettis-integrable functions
Pa-cific J Math 114(2), 345–366 (1984)
22 Ezzaki, F.: Contributions aux probl`emes de convergence des suites adapt´ees etdes ensembles al´eatoires Th`ese de Doctorat, Universit´e de Montpellier II (1993)
23 Ezzaki, F.: A general dominated convergence theorem for unbounded random
sets Bull Polish Acad Sci Math 44(3), 353–361 (1996)
Trang 40Some various convergence results for multivalued martingales 33
24 Geitz, R.: Pettis integration Proc Am Math Soc 8, 81–86 (1981)
25 Hess, C.: On multivalued martingales whose values may be unbounded: gale selectors and Mosco convergence In: S´eminaire Analyse convexe Montpel-
martin-lier 1989, expos´e 8 J Multivar Anal 39(1), 175–201 (1991)
26 Hiai, F.: Convergence of conditional expectations and strong laws of large
num-bers for multivalued random variables Trans Am Math Soc 291(2), 613–627
(1985)
27 Hiai, F., Umegaki, H.: Integrals, conditional expectations and martingales of
mul-tivalued functions J Multivar Anal 7, 149–182 (1977)
28 Lavie, M.: On the convergence of multivalued martingales in the limit Monogr
Semin Mat Garcia Galdeano 27, 393–398 (2003)
29 Luu, D.Q.: Decomposition and limits for martingale-like sequences in Banach
spaces Acta Math Vietnam 13, 73–78 (1988)
30 Luu, D.Q.: Convergence of adapted sequences in Banach spaces without the
Radon–Nikodym property Acta Math Vietnam 30(3), 289–297 (2005)
31 Di Piazza, L., Musial, K.: A decomposition theorem for compact valued Henstock
integral Monatshefte Math 148, 119–126 (2006)
32 Li, S., Ogura, Y.: Convergence of set valued sub- and supermartingales in the
Kuratowski–Mosco sense Ann Probab 26(3), 1384–1402 (1998)
33 Li, S., Ogura, Y.: Convergence of set-valued and fuzzy-valued martingales Fuzzy
Sets Syst 101, 453–461 (1999)
34 Marraffa, V.: On almost sure convergence of amarts and martingales without the
Radon–Nikodym property J Theor Probab 1, 255–261 (1988)
35 Marraffa, V.: Stochastic process of vector valued Pettis and MacShane integrable
functions Folia Math 12(1), 25–37 (2005)
36 Mosco, U.: Convergence of convex sets and solutions of variational inequalities
Adv Math 3, 510–585 (1969)
37 Musial, K.: Martingales of Pettis integrable functions In: Proceedings of the ference on measure theory, Oberwolfach 1979 Lecture notes in mathematics,vol 794 Berlin: Springer, 1980 pp 324–339
con-38 Musial, K.: Topics in the theory of Pettis integration In: School of measure theoryand real analysis, Italy, May 1992
39 Neveu, J.: Martingales `a temps discret Paris: Masson 1972
40 Rongming, W.: Essential (convex) closure of a family of random sets and its
ap-pications J Math Anal Appl 262, 667–687 (2001)
41 Talagrand, M.: Some structure results for martingales in the limit and pramarts
Ann Probab 13(40), 1192–1203 (1985)
42 Uhl, J.J Jr.: Martingales of strongly measurable Pettis integrable functions Trans
Am Math Soc 167, 369–378 (1972)
43 Valadier, M.: On conditional expectation of random sets Ann Mat Pura Appl
(IV) CXXVI, 81–91 (1980)
www.SolutionManual.info