A NNALES DE L ’I. H. P., SECTION B
L IMING W U
Forward-backward martingale decomposition and compactness results for additive functionals of stationary ergodic Markov processes
Annales de l’I. H. P., section B, tome 35, n
o2 (1999), p. 121-141
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121
Forward-backward martingale decomposition and compactness results for additive functionals
of stationary ergodic Markov processes
Liming
WULaboratoire de Mathematiques Appliquees, CNRS-UMR 6620 Universite Blaise Pascal, 63177 Aubiere, France e-mail address: wuliming @ ucfma,univ-bpclermont.fr
and
Dept. Math., Wuhan University, 430072-Hubei, China April 1998, Second Corrected Version
Vol. 35, n° 2, 1999, p. 141 Probabilités et Statistiques
ABSTRACT. - We extend the forward-backward
martingale decomposition
of
Meyer-Zheng-Lyons’s type
from thesymmetric
case to thegeneral stationary
situation for thepartial
sumS. ( f )
withf satisfying
a finiteenergy condition. As corollaries we obtain
easily
a maximalinequality
anda
tightness
result related to Donsker’s invarianceprinciple,
andespecially
a criterion of a.s.
compactness
related to Strassen’sstrong
invarianceprinciple.
@Elsevier,
ParisKey words: forward-backward martingale decomposition, the functional central limit theorem or Donsker’s invariance principle, the functional law of iterated logarithm or
Strassen’s strong invariance
principle.
On etend la
decomposition
demartingale progressive- retrograde
dutype Meyer-Zheng-Lyons
du cassymetrique
au casstationnaire
general
pour des sommespartielles St ( f ~
avecf
satisfaisantune condition
d’énergie
finie. Commecorollaires,
on obtient facilement uneinegalite
maximale associee auprinciple
d’ invariance de Donsker et un 1991 AMS Subject Classification : Primary 60F17. Secondary 60J55.Annales de l’lnstitut Henri Poincaré - Probabilités et Statistiques - 0246-0203
Vol. 35/99/02/@ Elsevier, Paris
122 L. WU
critere de
compacité
p. s. pour leprincipe
d’ invariance forte de Strassen.@
Elsevier,
ParisMots clés : decomposition de martingale progressive-retrograde, le principe d’invariance de Donsker, le principe d’invariance forte de Strassen.
1. INTRODUCTION
1.1. Consider a Markov process
(0, .~’, (.~’t), (Xt), (Bt),
valuedin a Polish space
E,
with transitionprobability semigroup (Pt)
and with aninvariant and
ergodic probability
measure a on(E, B). Here,
. t E
T,
T = IN(discrete time)
or1R+ (continuous time);
And(Xt)tElR+
is
càdlàg
in E in the continuous time case;. :=
Xt(03B8x03C9)
=Vs,
t E E0;
B is theBorel a-field of
E;
. the
past
a-field0t
= st); ~t
= s >t) (the future a-field);
0 =9o;
.
Fx(Xo
=x)
=1,
:= =fE Pt(x,
. = a.s. for any bound
go-measurable
7y;.
aPt(A)
:=fE a(dx)Pt(x, A)
=a(A),
VA E B(the
invariance ofa w.r.t.
(Pt));
.
Vf EbB,
the space of real bounded B-measurablefunctions, Pt f
=f , a -
a.s.f
is constant a - a.s.The last two
points together
areequivalent
to say that 1P =IP03B1
isinvariant and
ergodic
on(0, F).
In this paper we do notdistinguish
thea-fields on H and their
completions
w.r.t. JP.Throughout
this paper,’, ’ > denote
respectively
the innerproduct
and norm inL2(E, a), lE(’)
theexpectation
w.r.t. F = ,For any
f
Ea) := {/
EL2(a); f,1
>=0~,
consider thepartial
sum
Annales de l’Institut Henri Poincaré - Probabilités
The main motivations of this paper are the Donsker
(weak)
invarianceprinciple
or the functional central limit theorem(in abridge: FCLT),
andthe Strassen
strong
invarianceprinciple
or the functional law of iteratedlogarithm (in abridge: FLIL)
for thepartial
sumSt ( f )
as t - +0oo or more .generally
for an additive functional(in abridge: AF) (St) . By AF,
we meanThe main purpose of this paper is to
study
consequences of thefollowing
finite energy condition for
f
Ein the Discrete time case and
in the Continuous
time,
where £ is thegenerator
ofL2 ( E, a ) ,
D is an
appropriate
domain to bespecified later,
C > 0 is a constant.1.2. In the reversible
(or symmetric)
case(i.e., Pt
=Pt
wherePt
is theadjoint operator
ofPt
inL2 (a)), Kipnis
and Varadhan[KV, 1986]
showedthat
(1.2)
isequivalent
to the natural minimal conditionand established the FCLT of
St( f )
under(1.2)
or(1.3).
Their main tool forthe passage from CLT to FCLT is the
following
maximalinequality ([KV,
Lemma 1.4 and Lemma
1.12]
where 117 is the set of all diadic
points j /2~,
A = I -Pl
or -,Caccording
to T = IN or
’
The further works extend their result in two directions:
1)
thesymmetry assumption
is relaxed as thequasi-symmetry
or strongsector condition below:
where A = I -
Pi
or -£according
to T = IN or1R+.
Vol. 35, n° 2-1999.
124 L. WU
2)
for moregeneral
AFs other thanSt ( f ), especially
in the continuoustime case.
We
present
several of them up to theknowledge
of the author.Goldstein
[G, 1995]
obtained the FCLT for ageneral anti-symmetric
additive functional of a
symmetric
Markov process.For the
simple
exclusion process with anasymmetric
mean zeroprobability kernel,
Varadhan[Va, 1995]
established the central limit theorem(in abridge: CLT)
ofSt ( f )
for allf
Ea) satisfying ( 1.2),
andproved
even the FCLT for some
special f
related to the movement of atagged particle, by exploiting
thequasi-symmetry
of this process shown in L.Xu
[Xu, 1993].
More
recently
forgeneral quasi-symmetric
Markov processes, Osada and Saitoh[OS, 1995] get
the finite dimensional CLT forfairly general
additivefunctional
( St )
under a condition oftype (1.2) (see [OS, (1.6)]).
Andthey
obtained the
corresponding
FCLT for rathergeneral
additive functionals related to reflected diffusions. In a nonpublished preprint [W2, 1995], Kipnis-Varadhan’s
maximalinequality (1.4)
is established with an extra factor K in its RHS which is the constant in thequasi-symmetry
condition(1.5).
Theproof
therein isparallel
to theoriginal
one ofKipnis-Varadhan.
However whether the LIL and the FLIL hold under
(1.2)
or(1.3)
inthe
quasi-symmetric
case is not treated in thesequoted works,
for lack ofan a. s.
compactness
result. In fact as wellknown,
the maximalinequality
of
type (1.4) gives (or
can be used togive)
an apriori
estimation ora criterion of
tightness
for the laws overJD[0,1] (the
space of realcàdlàg
functions on[0, 1] , equipped
with Skorohodtopology).
But it does not seem to furnish apriori
estimations or(strong)
a.s.
compactness
about the a.s. behaviorof
2n log log n
J
required by
the LIL and FLIL.For the
symmetric
Markov processes, it is noted in[W l, 1995]
that theingenious
forward-backwardmartingale decomposition
ofMeyer-Zheng- Lyons (see [MZ, 1984], [LZ, 1988]) gives
verydirectly
notonly
a bettermaximal
inequality
than(1.4),
but also astrong
a. s.compactness
resultrequired
for the LIL and FLIL.Hence the idea of this paper can be abstracted as one
simple point:
toextend the forward-backward
martingale decomposition
ofMeyer-Zheng- Lyons
to thegeneral stationary
case forS. ( f )
for thosef satisfying ( 1.2).
Annales de l’Institut Henri Poincaré -
1.3. This paper is
organized
as follows. The next Section is devoted tothe discrete time case. In Section 3 we discuss their
counterparts
in the continuous time case, which is a little morecomplicated
because of the unboundedness of A = 2014,C.Finally
we furnish in theAppendix
a semi-FLIL for sums of backward
martingale differences, required
for the a.s.compactness.
2. THE DISCRETE TIME CASE 2.1. Hilbert spaces induced from
(1.2)
Let T = 1N and write P =
Pl.
Let P* be theadjoint operator
of P ina)
and P" =(P
+P* ) /2,
thesymmetrization
of P.LEMMA 2.1. - P~ =
a - ergodic.
Inparticular
Vu E~o ( E, a)
:==Ho,
Proof. - By
theergodicity
of P w.r.t. a, for anyA, B
E B witha(A)
Aa(B)
>0,
~n ~0, fE 1APn1Bd03B1
> 0. Thenwhere the
ergodicity
of P~ follows.0
Let
be the
spectral decomposition
of I - P~ onHo ( Eo
= 0by (2.1 )). By (2.1),
I - P~ : isinjective.
Then its inverseis a well defined
self-adjoint operator
with domainID(Ro )
=Ran(I - Pa)
(the range)
andVol. 35, n° 2-1999.
126 L. WU
We introduce now two Hilbert spaces
H1
and inherited from the condition( 1.2).
DEFINITION 2.2. - Let
~1
be thecompletion of
thepre-Hilbert
space(Ho
=Lo (E, a),
. , .> 1 )
where the innerproduct
isgiven by
We
define II .
as the dual Hilbert spaceof III)
w. r. t. thecanonical dual relation
?~o
=Ho.
LEMMA 2.3. -
(a)
CH0
and theimbedding
is continuous.(b)
For everyf
EHo,
thefollowing properties
areequivalent:
(b. i) f
E(b. ii) f verifies (1.2D);
(b. iii) Exf, f
> +oo;(b. iv) £§J_~ f, f
> isconvergent.
In that case,
=
inf {C ~ 0;
the condition( 1.2D)
holds withC ~
(c) 117 ( Ro )
is dense in I - P~ can be extended asan
isomorphism : Rg
can be extended as anisomorphism ilg : ~C-1 -;
andilg
is the inverseof
I - pu :Proof. - (a)
SinceHo
C~L1
is a continuous and denseimbedding
withthen
= Hi
=~Co
and thisimbedding
is dense with(b)
Theequivalence
between(b.i)
and(b.ii)
follows from the definition ofH-i .
The all otherequivalences
as well as(2.5)
follow from(2.2), (2.3a,b)
and the
simple
observation below .(c) They
are all obviousby (2.7) and ~g~1
=Vg
EHo . 0
Since I -
P, I -
P* areinjective
onHo,
we can define thepotential (or Poisson) operators
LEMMA 2.4. -
a)
C7/-i
andb)
It holds thatProof. -
Notice thatLet
f
EID(Ro).
For each u E1io,
Vol. 35, n ° 2-1999.
128 L. wu
by (2.10b).
Hencef
E and the firstinequality
in(2.8)
is shown. Thefirst
inequality
in(2.9)
follows fromSimilarly
weget
the otherparts
of(2.8), (2.9)
forRo . 0
2.2. Forward-backward
martingale decomposition
We are now
ready
to show thekey
THEOREM 2.5. - Let T = W. There exist three bounded linear
mappings
such that the
following forward-backward martingale decomposition
holdsIP - a.s.
where
Proof. -
Assume at firstf
ELet g
=Ro f
E SetObviously
=0, i.e., m(g)
E e Andsimilarly 0, i.e.,
E~)
eWe have
by (2.10a)
and Lemma 2.3and
similarly by (2.10b)
and Lemma 2.3Observe
and
Taking
the sum of(2.15a)
and(2.15b)
andnoting
thatf
=(I -PU)g,
weget
which is
exactly
our forward-backwardmartingale decomposition
forf
ERemark
by (2.10b)
thatHence the linear
mappings
definedby
for
f
E are bounded and all with normB/2.
Therefore
they
admit all the continuous extension to the whole spacef
E denotedby
the same notations. Hence the forward-backwardmartingale decomposition (2.12)
follows from(2.16) by
continuousextension. 0
Vol. 35, n° 2-1999.
130 L. WU
Remark 2.6. - The forward-backward
martingale decomposition (2.12)
is the main new
point
that weincorporate
into the studies of(1.2).
Thedecomposition
of thistype appeared
at first inMeyer
andZheng [MZ,1985]
and it was
developped systematically by Lyons
andZheng [LZ, 1988],
for the
symmetric
Markov processes in the continuous time. It should beemphasized
that(2.12)
is not the exactcounterpart
of theiroriginal decomposition
which is done forg(Xt) - g (Xo )
instead ofSt ( f ) .
This isa
key point
and we find very difficult to extend theiroriginal
version tothe actual
non-symmetric
case.Notice also that this
decomposition
is notunique,
because ingeneral
there exists
0 #
yy EL2,
measurable w.r.t. such thatI Fo) = I gl)
=o,
andMi ( f )
+~Mr(/) - ~ satisfy
also
(2.12).
2.3. Several corollaries
We
present
now severalcompactness
results as direct corollaries of(2.12).
Webegin by
a maximalinequality
and a criterion oftightness (for
laws
only).
COROLLARY 2.7. - For each
f
E orsatisfying (1.2D), (a)
the maximalinequality
below holds:(b)
thefamily of
the lawsof
on
117 ( ~0,1~ )
under F isprecompact for
the weak convergencetopology
andany limit
probability
measureof
this sequence issupported by C( ~0,1~ ),
thespace
of
continuous realfunctions
on[0, 1].
Here~x~
denotes theinteger part of
x >0, ID ([0,1])
is the spaceof
allcàdlàg functions
~ :[0, 1]
~1R,
equipped
with the Skorohodtopology.
Proof. - (a)
It consists to control the three termsappeared
in(2.12).
Atfirst for the
(0n)-martingale My( f)
:==by
Doob’smaximal
inequality
and(2.11 ),
For the sum of backward
martingale differences
:=note that
is a Hence
by Cauchy-Schwarz
andby
Doob’smaximal
inequality
and(2.11 ) again,
Finally by Cauchy-Schwarz
and(2.11 ),
By
the three estimationsabove,
weget by (2.12)
thatwhere
(2.18)
follows.(b)
It follows from(2.12) by
thefollowing
three facts: the classical FCLT for the forwardmartingale M-’( f );
and(by
Birkhoff’sergodic theorem);
andfinally
Lemma A.I inAppendix
forM-(/). ~
Remark 2.8. - For each
f
E C?Y-i,
we haveby (2.15a)
with~ -
Vol. 35, n° 2-1999.
132 L. WU
where we have used
Ro f , f
>=Rof, Rof > 1 - f, f
>-i(by
Lemma
2.4). Up
to a numerical factor(2.20) implies, with g
=Ro f , Kipnis
and Varadhan’s maximal
inequality (1.4),
and(2.20)
does not contain theexplosing
term g, g >=Ro f, Ro f
> as in(1.4)
when one wouldapproach
tosome f
E butf ~
As said in the
introduction, (2.12) implies
notonly
the maximalinequalities (2.18)
and(2.20),
but also the a. s.compactness
related toFLIL,
stated inCOROLLARY 2.9. - Let
f
E~C-~.
WithIP-probability
one, the sequenceis
precompact
in1])
and all its limitpoints
are contained inwhere
is the ball
of
radius o- > 0 in the usual Cameron-Martinsubspace,
andh(t)
.-log log(t
Ve2).
Proof. -
It follows from(2.12) by
the classical FLIL for the forwardmartingale M~ ( f ) ([HH]),
and(2.19)
forG f (Xn) - G f (Xo),
andfinally
Lemma A.1 for
M~ ( f ) . Q
3. CONTINUOUS TIME CASE 3.1. General situation
Let T = The situation is more delicate because
of
the unboundedness of thegenerator £
of(Pt)
inL2 ( E, a).
Our firstassumption
allows us to define the
symmetrization
£0" of thegenerator
£.(HI)
D is asub-algebra ofC(E)
contained in.~(,C) n 117(,C*),
so that( ~ 2~~ , D) is essentially self-adjoint
inHere
C(E)
is the space of real continuous functions onE,
and £* is theadjoint
of £ inL 2 ( E , a ) (then
thegenerator
of( Pt )
inL 2 ( c~ ) by [Ka]).
Let ,C~ be the closure of
( ~ 2~~ , D),
which isself-adjoint by (Hl)
anddefinite
nonpositive.
Let(~~, ~ (~~ ) )
be thesymmetric
form associatedto -~. It is the closure of
We assume in further
(H2) for
any u En ~°~(u, u)
= 0 ===} u =0,
a-a.s.This condition means that -,C~ :
~Co ) -~
isinjective.
Thenis a well defined
self-adjoint operator
onHo.
DEFINITION 3.1. - is
defined
as thecompletion of
thepre-Hilbert
space w. r. t. the inner
product
u, v > 1: _~~ (u, v )
or the norm~u~1
:= ~03C3(u,u).is
defined
as thecompletion of
thepre-Hilbert
spacew. r. t. the inner
product f , g
> _ 1= > or w. r. t. the norm~f~-1
==LEMMA 3.2. -
(a)
,C~ can be extended as anisomorphism Hi -
and
Ro
can be extended as anisomorphism Ro :
-(b)
is the dual Hilbert spaceof H1
and the dual bilinear relation ~, ~>_1,1
on x~L1
is the continuous extensionof f,
u >,V( f, u)
E(c)
For eachf E ? Co,
thefollowing properties
areequivalent (c. i) f
E(c. ii) f satisfies (1.2C)
with Dgiven
in(Hl );
(c. iii) fo °° f, Pt f
> dt +oo, where =et~~ )
is thesemigroup
generated by
,C~.In that case,
Proof. -
Itsproof
is the same as in the discrete time case, soomitted. !)
Vol. 35, n° 2-1999.
134 L. WU
We turn now to check the forward-backward
martingale decomposition.
At first for each test-function u E D c
jE3(.C) n ID(G*) n C(E),
is an additive
(0t)-forward càdlàg martingale; reversing
thetime,
is additive and
càdlàg,
such that(M*T(u) - M*T-t(u),
0 tT)
is abackward
(GT-t)-martingale. By
Ito’sformula,
By
Doob’s maximalinequality,
for any T > 0fixed,
and
Taking
the sum of(3.4a)
and(3.4b),
weget
Let
IBT
be the Banach space of all real(Ft)-adapted càdlàg
processesX = defined on
(03A9,F,IP) equipped
withnorm ~X~T
=IE supt~[0,T] |Xt|2.
As D is dense inH1,
the linearmappings
u -M. (u)
EIBT
and u -M* (u)
E18 T
can be extended to u E and(3.4a,b), (3.5), (3.6a,b)
still hold.Now
by (HI),
for anyf
e =Ro f
there areuk E
~D, & ~
1 so that uk - u, inHo. By (3.7),
weget
for anyf
and for any T >0,
The two sides of
(3.8),
as element in are both continuous w.r.t.the
norm Consequently by
continuous extension weget
THEOREM 3.3. - Assume(Hl)
and(H2).
Letf
Ea) satisfy (1.2C).
Then the
forward-backward martingale decomposition
below holds:where
M~ ( f )
:=M. (Ra f )
andM~ ( f )
:==M* (Ro f )
are additive andcàdlàg
in timet,
linear and bounded inf
EH0 n verifying
In
particular
we have(a)
The maximalinequality
below holds(b)
Thefamily of
the lawsof
EC( ~0,1~ ),
n >1
under IP isprecompact.
(c)
WithF-probabiliny
one, the sequenceis
precompact
inC( ~0,1~ )
and all its limitpoints
are contained inProof. -
The maximalinequality (3.11 )
follows from(3.6a,b)
and(3.9).
The
compactness
criteria(b), (c)
follow from(3.9),
the discrete time’s FCLT and FLIL for forward or backwardmartingale (Lemma A.1 )
and thefollowing
estimationboth in and IP - a..5.
(by
Birkhoffergodic theorem). 0
Vol. 35, n° 2-1999.
136 L. WU
Remark 3.4. - Several
simple
butkey properties
in the discrete time casedo no
longer
holdautomatically
in the continuous time case:1 )
Theassumption (H2)
is notalways
valid in the continuous time case,contrary
to(2.1 )
in the discrete time situation.2)
Lemma2.3.(a)
and(2.6a,b)
are nolonger
valid ingeneral.
Forexample,
contains much more elements than those
Ho (such
as Revuzmeasures).
3)
Lemma2.4.(a)
does not hold ingeneral.
Remark 3.5. -
Let §
E and definewhere fk
EnHo
andfk -~ ~
in7-L_1.
This is well definedby (3.11). By
continuous extension satisfies still the forward-backwardmartingale decomposition (3.9)
andconsequently
all claims in Th.3.3.3.2. The
quasi-symmetric
caseIn this
paragraph
we assume the sector condition(1.5)
and our Markovprocess is Hunt. We show now that
(1.5)
can be used to substitute theassumptions (HI)
and(H2)
above for Theorem 3.3. Webegin by
theconstruction of .Ca.
Let
(E,
be the closure of the sectorial form(~(u,, v) = 2014/~ ~
>,Vu, v
E Let be the closure of= ~
> + u, 2014~
> , Vu, v
E and 2014~ be thecorresponding
definite
nonnegative self-adjoint operator.
It is known that andare form core of
ID(Ea))
and =ID(E) (see [Ka,
Ch.
VI]).
Secondary
let usverify (H2).
In fact for anyf
En Ho
withEa( f, f )
=0,
thenf
EID(E)
andby (1.5),
It follows that
f
ED~(,C)
and£f
= 0.By
the assumedergodicity
of(Pt), f
=0,
a - a.s.Hence
Ro
=( -,C~ ) -1
is well defined onHo.
Define the Hilbert spaces . , . >1,~) ’
and(?-~_1,
’, ’>-l, 11.11-1)
as in Definition 3.1.All claims in Lemma 3.2 remain valid with D =
~7 (,C)
in(1.2C).
We can now state the
following
result whoseproof
isgiven
inAppendix.
Probabilités
THEOREM 3.6. - Let T =
1R+,
assume(1.5)
and(Xt )
is a Hunt process.For
f
E~Ca n (or equivalently (1.2C)
with D =D~(,C) ),
theforward-
backward
martingale decomposition [(3.9)
+(3.10)]
still holds. Inparticular
all claims in Theorem 3.3. remain valid.
Remark 3.7. - Under the sector condition
(1 .5),
we can prove(the
detailis left to the
reader)
in the discrete and continuous time casesboth, (i)
is a dense subset in andRo
:=A-1 : (ID(Ro),
-
1í1
is acontraction,
where A = I - P or -£.(ii) equivalence
between(a) f
E orequivalently (1.2D
orC);
(b) lim supt~~ 1 tIE(St(f))2
+00;(c) ~2 ( f )
=exists;
(d)
liminfEo REf, f
> wherel~E
=(E
+Remark 3.8. -
By (3.12)
in Remark3.5,
Th.3.6 remain valid for S.for
any 03C6
E1í-I.
Hence thegeneral
finite dimensional CLT in[Va, 1995]
and
1995]
for becomes the FCLT.Moreover
by
the a. s.compactness
inCorollary
2.9 andTh.3 . 3 . (c)
andthe
property (i)
above in Remark3.7,
andby
anapproximation
off by (fk)
cID ( Po )
w.r.t. thenorm" . 11-1,
weget
the FLIL below:THEOREM 3.9. - In the discrete and continuous time cases
both,
assume
(1.5).
For everyf
E withprobability
one the sequence~,S’’n. ( f ~/h(n);
n >1 ~
isprecompact
inl~ )
and the setof
its limitpoints
isexactly K ( ~ ( f ) ) where a( f)
isgiven
in Remark 3. 7.(i i. c).
APPENDIX
A.1. Semi-FLIL for sums of backward
martingale
differences Thefollowing
lemma wereused
inCorollary
2.7 and 2.8. and Th. 3.3.LEMMA A.1. - Let
Then
Mn
:==satisfies
theFCLT,
and F - a.s., ~ ,
is precompact and the set
of
its limitpoints
CK(a)
where
03C32
= andK(a)
isgiven
inCorollary
2.9.Vol. 35, n° 2-1999.
138 L. WU
Proof. -
For a :R,
the notationaC
with an addedexposant
C is used to denote thepolygone
function defined onR+, connecting (n, an),
i.e., af
= an +(t - an) , Vt
E[n, n + 1], n
E IN.The FCLT is easy: note that
(Mkn)
=Mn - Mn-k ,
k =0,... n)
is aBy
the classical FCLT formartingales (see [HH]),
in law on
Consequently
in law on
C ~0,1~ .
But(Wl -
is still a BrownianMotion,
theFCLT follows.
We translate the semi-FLIL in
(A.1 ) (the
full FLIL is anequality
insteadof
C )
asUnlike the
FCLT, (A.2)
is far from to be a direct consequence of the classical FLIL formartingale
and it is relied on two results.At first we have
proved
in[WI] ] by
means of a variant of Skorohod’srepresentation
thatHaving
this apriori
estimation andusing
anapproximation procedure
ifnecessary, we can assume that ml is bounded.
In that bounded case, Dembo
[De, 1996]
proves that IPh n M~~~’C
E.)
satisfies the
large
deviationprinciple
withspeed h2(n) n
= 2log log n and
with rate function
if ~y E the Cameron-Martin space and + oo otherwise
on
C[0,1]
w.r.t. the uniform convergencetopology.
Thenby
contractionprinciple,
satisfies the same
large
deviationprinciple.
Finally
as wellexplained
in[DS],
thislarge
deviationprinciple implies
(A.2). 0
-A.2. Proof of Theorem 3.6
We prove the
forward-backward decomposition (3.9)
in the actual context, which without(HI) requires
Fukushima’sdecomposition
from the Dirichletform
theory
under(1.5) (see [MR,
p.180,
Th.2.5]):
for every
~-quasi continuous g
E0,
where
(Mt(9)) (resp. (MT(g) -
is a(resp. (gT-t)) martingale
withand
N(g), N*(g)
are continuous additive functional of zero enery so thatBy (A.4),
weget Vt > 0,
1P - a.s.Now we prove that
Vg
E IP - a. s .,for each t > 0 fixed
(then
for all t > 0by
thecontinuity
of the twosides of
(A.8)).
Note that[(A.7)
+(A.8)] gives (3.8)
which leadseasily
to
(3.9) by (A.5).
To prove
(A.8)
for t > 0fixed,
we take gk EID(G), g~
EID(G*)
suchthat gk - in as k - oo
(possible
asID(G),117(G*)
areform core of It is well known that
(A.9)
Notice also Vu E
Vol. 35, n° 2-1999.
140 L. WU
Now for
(A.8),
it remains to show for~~ _ ,Cg~ ~ ,C*g~,
as k - oo, where 0 =
to ti
... arearbitrary.
Thiscan be done
by
recurrence on 0 and here we treatonly
the case m = 1.For any 0 s
t, (a
consequence of( 1.5))
andthey
arebounded,
then theirproduct ~ ( ~ ~ ) .
Thereforeby (A.10)
and the dominated convergence, weget (A.ll)
for m = 1.~
ACKNOWLEDGEMENTS
I am
grateful
to the anonymous referee for his carefulreading
andcomments on the first and second versions. His
suggestions
havelargely
contributed to
simplify
andclarify
thepresentation
of this work.REFERENCES
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(Manuscript received February 10, 1997;
revised April 7, 1998.)
Vol. 35, n° 2-1999.