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I AD-RI60 942 MEAN CONVERGENCE OF THE VARIATIONS ITERATED INTEURALS 1/11 AND DOLERfiS-DODE E.. (U) NORTH CAOLINA UNIV AT CHAPEL
HILL CENTER FOR STOCHASTIC PROC.. F AVRAN MAR 6
UNCLSSIFIED T-135 AFOSR-TR-86-0327 F4962-85-C-S144 F/G 2/1 NL
12.8
L 1 3 2 .111:6'IJill
1ii.5*11
I~OCMENTATION PAGEIn. RESTRICTIVE MARKCINGS
2& SE '- :.ASS.r CA;ON A RbILI 4n6 ISTRISUTIONAVAILAGIL OF REPOR'
%au 06S86o ~ pproved "or :jblic Releasei Distributicn21. 0ECLAS~ FCATON, DOWNG S~FUEUni imi tea
4 PERPORllMING ORGANIZATION R~EPORT NUMBdw 5. VIONITORING ORGANIZATION REPORT NI.JMSERIS)
lechi-_-iI RportV".AFOSR Tt. S -0 32 76&. NAME OF OERFORMING ORGANIZATION b. OFFICE SYMBO0L 7s. NAME OF MONITORING ORGANIZATION
.n~vers4-.:v o" North Carclina AFOSR/NM
Oc. ADDRESS i(Y, 5St# and ZIP Cod., 7b. ADDRESS (City. Stat and ZIP Code)Center for Stochastic Processes, Statistics Bldg. 410Department, Phillips Hall 039-A, Bolling AFB, DC 20332-6448Chapel Hill, NC 27514 ____________________________
G& NAME OF PUNOING/SPONSORING 8b. OFPICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER
QAFOSRAINIapicbu F49620 85 C 0144
&C. ADDRESS City, State aind ZIP Code.) 10. SOURCE OF FUNOiNG NOS.______
Bd.40PROGRAM PROJECT TASK WORK UNITBalin roDELE MENT NO. NO. NO. NO.
6.1102F 230411I. TITLE ticgau4a Secunty, CLawf~cation, aWeak- convergence of the variations, iterated integrals, n Doleans-Dide e.ponent aso
* 12. PERSONAL AUTHORIS) sequences of semimartingales"Avram - F,
134L TYPE OF REPORT 13b., TIME COVERED 14. GATE OF REPORT (Yr-. M.. Day) iS PAGE COUNT
* Tehnicl IFROM ** L.. TO.fL.. M1arch 1986 616, SUPPLEMENTARY P1OTATION
17 COSATI COOES IS& SUBJECT TERMS ICOanune on muerm if neesery and identfy~ by Ndock Nnmitbri
* IELD GROUP SUB seGx. -Keywords:
It. ABSTRACT 'cont"InU O1 '"ePse I f neceDIWy and identify by blocil number,
If X is a sequence of semimartingales, converging to a senunmirtingale(n) (n)
X, and such that [X, X converges to [X,XI, then all higher order variat ions(n)
and all the iterated integrals of X converge jointly to the respective
functionals of X.
20. GISTRIBUTION/AVAILASILITY OP ABSTRACT 21. ABSTRACT SECURITY CLASSIFICATION
UNCLAS31PIEG/UNLIMAITEC ) SAME AS PIPT OTZ ocusERS 7 UNCLASSIFIED221L NAME OF RESPONSIBLE INDIVIDUAL 22.TELEPM.ONE NUMBER I22c OFFICE SYMBOL
I / (2~ '( 4,~yNvA4{)c)) ~ '>s C AFOSR/NM0D FORM 1473, 83 APR eoriON OP I IA4-13 IS OBSOLETE. UNCLASS I FIED
AYOSR-TR. 8 6~O2 - -..
CENTER FOR STOCHASTIC PROCESSES
Department of StatisticsUniversity of North CarolinaChapel Hill, North Carolina
WEAK CONVERGENCE OF THE VARIATIONS, 1ITERATED INTEGRALS,
AND DOLEANS-DADE EXPONENTIALS OF S1.QUNCES OF SEMIMARTINGALES
by
Florin Avram
Technical Report No. 135
March 1980
t r6 0249
- -o m h 1i
WEAK CONVERGENCE OF THE VARIATIONS, ITERATED INTEGRALS,
AND DOLEANS-DADE EXPONENTIALS OF SEQUENCES OF SEMIMARTINGALES
by
Florin Avram
University of North Carolina at Chapel Hill
Abstract
(n)If X is a sequence of semimartingales, converging to a semimartingale
(n)(n)X, and such that [ X, X ] converges to [X,X], then all higher order variations
(n)and all the iterated integrals of X converge jointly to the respective
functionals of X.wI.,
AT?' Y. .m'1
. o . +: J:- 2.
AMS 1980 Subject Classifications: Primary, 60F17; Secondary, 60105.
Keywords and Phrases: Semimartingales, weak J1 Skoronod topology, variations,multiple integrals, Dolians-Dade exponential.
This research supported by the Air Force Office of Scientific Research
Contract No. F49620 85C 0144.
I,-,
S
. . ,.:.,','- ' .,. ' +-,.%'%L,',-+.+., -,'-.+, ' +.+.,.. '"'" .,.- .""'''"."-". -" . .,', ,'" - +," .' .- -.- ''''. . . . "."",'."." ".."-"- .- ".
.. . .. . . . . ,. , I Ii. + , +L + " + - ' + - + -! ' + + ' +
° t ! ' ' '
1. Introduction
(n)A. Let X t be a sequence of semimartingales, with tE [0,1], such that
(n)(I.1) x x,
where X is a semimartingale, and WO denotes weak convergence on D[OI]
with respect to the Jj-Skorohod topology.
-We investigate thelconvergence of the variations, iterated integrals
(n)and Dolans Dade exponentials.of X , which are defined as follows: For Y
a semimartingale, /
r Y for k= 1t
(1.2) V k(Y) = [YY]t = t+ 2 (AY s) for k= 2k t tt( ~ (AY) for k >t3
sst
Y for k-t
(1.3) k (Y)t trI (Y)s dY for k 2
(4E ) Ik-l s(1.4) E(XY) exp[XY - RY t:(XAYs
t t T ts_
- - . .W - .-. w.- - P - ._ .-... X.,- - .- RJ
2
(n)
Ik ( t 1 ,nn tIk( )t
I.&
r.
Corollary: Ifl>(n) w(JJ)
(1. 9) x >x
and the condition of Jacod (1983) holds:
(1.10) lim sup P{Var(B hn)1 >b} = 0b-o n-o
h~n(where h is a truncation function and (Bh'n) is the previsible projection
tn
of the truncated semimartingale X), then (1.5), (1.6), (1.7) and (1.8) hold.
Proof: cf. Jacod (1983), Theorem 5.1.1, (1.9) and (1.10) imply (1.5).
2. Proofs
Introduce the following notation: For any real number x,
'" >a,'-'"x := x'l{x 1>a}
x X.1
We establish now the following:(n)
Lemma 1: a) Suppose X are semimartingales such that
(n)(n)
(2.1) lim lim PQ X, X ]>b} 0,b-~ n-o
2and let f(x) be any real function such that f(x)=o(x2), as x-0. Then,
for all c,
(2.2) lim lim P{ f jf(AX-a) c = 0.a- 0 n- s
4
(n) (n) 2 o
Proof: a) Note first that Estf(A Xs)jX t (X) " ts Xs-
Since the Do1e'ans-Dade exponential
EXt=exp{x t - 2 [X X]I + f[/X T(X) ts tt
it remains only to note that the functional:
X a:D 2)[0,1] -~ D ()[0,1]
Is continuous a.s., if both spaces are endowed with the respective J1 topo-
*logies. Letting then a -0, as in the proof of Lemma 1, one gets:
* ((n), (n)(n) f(n)< ~ £( (n)>, X X t 9 x( X-), R 'eAX>))
s(J) [1x'x f(AX R II(AX >)t 5 5s~t s!- t
2 2*since enl+ x) -x + =o(x ), and since (1.5) implies (2.1). Finally,
* applying the continuous functional
(4)
P D [0,1] D[0,1]'
O(Z19 Z ,Z , exp[Z -Z + Z Izl2394 1 2 2 3 4
* we get that(n) ()
E(X X ) -4')E(XX).
*Since (1.6) is equivalent to (1.7) (by the use of the polynomial mapping),
* and (1.6) trivially implies (1.5), Theorem I is proved.
References
I.Avram, .,Taqqu, M.S.: Symetric Polynomials of Random VariablesAttracted to an Infinitely Divisible Law. To appear in Z. fUr Wahr.
Z. Billingsley, ?.: Convergence of probability -measures. Wiley: New York,(1968).
. Dnk-'n. 7.3. . Mandelbaun, A.: Symmetr~c szatistilcs, Poisson jDoint pro-cesses and miltioie Wiener integ-rals. Ann. of Statistics 11, 739-745,
-. Denker, M. , Grillenberger, Chr. , Keller, 0.: Anote on invarianceorincfioles for von Mises' statistics. Metrika (to appear 1985).
* ~ . cinilv -2 .. :. : Soecta' unctions, orobabilizy semigrouvs and 1-amiltonSlos. oo. iot-es in Mlath. , 696. Springer Verlag: New York (197S).
licoDc 2. hecr~rneST L~ic;e ?our Les Prccessus. E-cole d'Eta de?rcoao:.. de esc .aint-F-lour Y=--l9SS. Laot. Noteas --n Mt
-. >ln acc,,,Ms : nvariance 7rfnciola --:r svnetriz sta:is-
Mjev.er...... n cours sur !os intoo4rales st-ochastfocues. Sen. Probl X,c:. Notzes '-.a'1-. ill. 2_53-00. :_-rincer -erlac.- N ew Yrk ~l7 6,
iuL .....ae .. : Avooi distribution a:sv~erc statist-.cs.__________5 17:-0 (19 30) .
-71.
Oo.
".5
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