A NNALES DE L ’I. H. P., SECTION B
P ETER I MKELLER
Stochastic analysis and local times for (N, d )- Wiener process
Annales de l’I. H. P., section B, tome 20, n
o1 (1984), p. 75-101
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Stochastic analysis and local times
for (N, d)-Wiener process
Peter IMKELLER
Mathematisches Institut der Ludwig-Maximilians-Universitat Munchen,
D-8000 Munchen 2, Theresienstrasse 39, Federal Republic of Germany
Ann. Inst. Henri Poincaré,
Vol. 20, n° 1, 1984, p. 75 -101. Probabilités et Statistiques
ABSTRACT. - Let
N,
k E be such that2 k + d
2N. Itis well-known that in this case the
(N, d )-Wiener
process W has local timespossessing (j ointly
in(t, x),
the time resp. space variablesbeing
t resp.x)
continuous derivatives in x of order k. In the framework of an
appropriated
stochastic calculus for
(N, d)-Wiener
process whichgeneralizes Wong’s
and Zakai’s calculus for the Wiener
sheet,
we derive Tanaka-like formulas for versions of these derivatives.Using
a methodprovided by
theunderlying calculus,
we prove(t, x)-continuity
forL~k~ :
with thehelp
ofBurkholder’s
inequalities
for the stochasticintegral
processesoccuring
in Tanaka’s formula we establish
Kolmogorov’s continuity
criterion.More
generally,
Vc { 1,
...,N ~,
d E E such that2
I k + d 2 V ,
the local timeof (N, d )-Wiener
process can be obtainedby integrating
the local times of the( [ V (, d )-processes
over tv.Using
thisobservation,
weget
Tanaka-like formulas for thejoint (t, x)-
derivatives of the local time of W
partial
in x, w. r. to ti,i E V,
int )
for which the above mentioned method
yields continuity results,
too.RESUME. - Soient
N, d
eI~,
tels que 2k [ +
d 2N. Il estbien connu
qu’en
ce cas le(N, d)-processus
de Wienerpossède
untemps
local ayant des dérivées en x d’ordre k continues(en (t, x),
t étant la variable dutemps,
x celle del’espace).
Dans le cadre d’un calculstochastique
appro-prie
pour Ie(N, d)-processus
de Wienerqui généralise
le calcul deWong
et Zakai pour le
drap Brownien,
on obtient des formules à la Tanaka pourAnnales de l’Institut Henri Poincaré - Probabilités et Statistiques -Vol. 20, 0246-0203
’
84/01/75/27/$ 4,70/© Gauthier-Villars 75
76 P. IMKELLER
des versions de ces dérivées. Utilisant une méthode provenant de ce calcul
stochastique meme,
on démontre la continuité en(t, x)
pour à l’aide desinégalités
de Burkholder pour les processusintégraux
stochas-tiques figurant
dans la formule de Tanaka on vérifie lecritère
de Kolmo- gorov pour continuité. Plusgénéralement,
étant donne ~ ~ Vc { 1, ... ,
N},
d E E tels que
temps
local du(N, d)-processus
de Wiener s’obtient en
integrant
lestemps
locaux des( V ~, d)-processus
en ty. On utilise cette observation pour obtenir des
formules
a la Tanaka pour les dérivées en(t, x)
dutemps
local de W(la
kieme en x, parrapport
àti,
i EV,
ent)
pourlesquelles
la méthodedéjà mentionnée
fournit des résultats de continuité aussi.INTRODUCTION
. It is well-known that
N-parameter
Wiener process with values in[Rd
for d 2N has local times whose k~partial
derivatives in the space variables exist andare jointly
continuous(in
space andtime)
up to k E such that2 ~ k ~ + d
2N.Roughly speaking,
local times become smoother if N increases. Theopposite
is true if d increases. To prove thisresult,
Ehm[8 ]
has
generalized
Berman’s[3] ]
method ofFourier-analyzing occupation
times
(in fact,
Ehm considered alarge
class of «Levy-processes ») :
takethe Fourier-transform of
occupation
time andstudy
itsintegrability
anddifferentiability properties.
Thisyields
verysharp
results on moduli ofcontinuity
of local time(for
thismethod,
see also Tran[17] and
Adler[1 ]).
But local times are
quite generally
accessible from stochasticanalysis,
too. This fact is well-known from
one-parameter semimartingale theory (see Meyer [14 ],
p.361-371, Azema,
Yor[2 ],
Bichteler[5 ]).
There are afew results for
multi-parameter
processes, too:Cairoli,
Walsh[6] ] give
a
representation by
a Tanaka-like formula for a local time of the Wienersheet;
Walsh[19] ] investigates
smoothnessproperties
of a local time of the Wiener sheetby
means of Tanaka’s formula. Localtimes
forN-para-
meter «
semimartingales »
have been studied in[11 ].
SeeGeman,
Horo-witz
[9 ] for
a survey on local times.This
paper’s
aim is two-fold :firstly,
to describe the local time of(N, d )-
Wiener process with d 2N and its
(space-and-time) partial
derivativesby
Tanaka-like formulae in the framework of anappropriate
stochasticcalculus; secondly,
to prove the smoothnessproperties
of these functions77 LOCAL TIMES FOR (N, ~)-WIENER PROCESS
by
means of theunderlying
stochastic calculus.Hereby,
noattempt
ismade to cope the
sharpness
of theFourier-analytic
method’s results.An «
appropriate
stochastic calculus » has beenpresented
in aprevious
paper
(see
Imkeller[10 ]).
As directgeneralizations ofWong,
Zakai’s[20 ],
the stochastic
integrals
necessary for acomplete
calculus are constructed in thefollowing
way : for eachpartition of { 1,
...,N }
we take a func-tion 03C6 : ~ {0, 1, ..., d}
to note whether in T-direction the measurewith
respect
to which weintegrate
isLebesgue
measure =0,
i. e.«
»)
or is thestochastic
measure associated withW j
=j,
i. e.« T
E ~’ » ),
1j __ d,
T E ~. We obtain a set ofintegrals I~~~ ~~,
such thatfor
f E
with ~~f(W)
squareintegrable
w. r. t. P x~,N
for all(7i, ~),
we have the(«
Ito’s»)
formulaHere
D~~°~~
is a differentialoperator
obtainedby applying [
timesthe
Laplacian D and [
timespartial
differentiation indirection j,
1
__ j d ;
for any processY, Y 7i
is the « ~-corner function » of Y:~ Y
(sup
To derive a Tanaka-likeformula,
we take the termT E~
of
highest
differentiation orderin Ito’s formula for
formally describing
a local time of W over]o,
t]
atx E
(~d by
5y being
Dirac’s ð-distribution at y E which is « natural » for our calculus.Therefore,
arepresentation
of local time is obtainedby generalizing
Ito’sformula to the solutions of the
partial
differentialequations
®NFN,a(x, . ) - ~ . - x,
xéThis, however, requires allowing
the inte-grals I~
tobe
distribution-valued(for
N =1,
see Ustunel[18]).
Itturns out that there
is, yet,
anotherpossibility
whichrequires starting
witha modification of Ito’s formula
(but keeps
the values of therepresenting integrals
inR) : by
«partial
stochasticintegration »
like in theclassical
Gauss’
integral
theorem wereplace integrals
over intervalsby integrals
78 P. IMKELLER
~~tu> of the processes i. e.
integrals
over « affinesubmanifolds
» of[0, 1 ]N, U; c { 1,
...,N ~, (~, being
relatedto U [-parameter
space.This
procedure essentially
reduces the orders ofoccuring
differentialoperators
to at mostN;
the sum in theresulting
formula extends over(~, ~~
EA,
i. e. each T E~°
has at least two elements :with suitable constants oc~~, ~~
(theorem
4 of[10 ~).
By showing
that thecorresponding integrals
forD~~~ ~>FN~d(x, W) exist,
we prove that this formula makes sense for
Indeed,
it even makessense for if k E is such that
2 ~ k + d 2N,
a fact which leadsus
directly
to a Tanaka-like formula for the kIDpartial derivative
of local time :In theorem 1 we show that
M~°~
is in fact agood
candidate for localtime,
whereas is the distributional derivative of in the space variables.The remainder of this paper is devoted to
establishing
the smoothness of in space and timeby
means of the stochastic calculuspresented
in
[10 ].
To dothis,
a methodproposed by
Walsh[19] ]
isemployed.
Inorder to establish
Kolmogorov’s
criterion forcontinuity
of in space andtime,
the moments of each one of the termsfiguring
in Tanaka’s for- mula are estimated with thehelp
of Burkholder’smartingale inequalities
for the «
martingales » I~~° ‘~~ ~U~.
The latter aredeveloped
inproposition 1, generalizing
Metraux’s[13] ] inequalities
for discretemartingales
andusing
ideas ofCairoli,
Walsh[7]
for the continuousparameter
case.Thus,
in theorem 2 we obtain functions such that
L~k~( . ,
s,t, . )
is a versionof the usual kth
partial
derivative of a local time of W over the interval]s, t]
which is
jointly
continuous in(s, t, x)
aslong
as s is not on Of course,L~k~( . , ©, . , . )
is a version ofM~k~.
If ~ ~ Vc { 1, ... , N ~,
is suchAnnales de l’Institut Henri Poincaré - Probabilités
LOCAL TIMES FOR (N, d)-WIENER PROCESS 79
that d
2 ~ V ~,
the local times of the( ~ V ~,
,d )-processes
can beintegrated over tv
such as togive
a local time of W. This observation is used to treat thejoint differentiability
in(t, x)
of local time. It firstyields
another Tanaka-like
formula, defining,
in a similar manner asabove,
functions
(k
E with2 ~ k ~ + d 2 V ~ ),
which turn out to begood
candidatesfor joint
distributional derivatives of local time:D~k~
in space and w. r. to t~, i e
V,
in time.Finally,
the methods indicated aboveyield corresponding continuity
results for(theorem 3).
0.
NOTATIONS,
PRELIMINARIES AND DEFINITIONS This article is based upon anapplication
of the main theorem of the stochastic calculusdeveloped
in[10 ] to
local times.Consequently,
itlargely depends
notonly
on the resultsproved
there. It is convenient to take thesame
notation,
too.Therefore,
the reader is referred to[10] ]
forgeneral
notations
concerning
processes,filtrations, parameter
space, etc. as wellas for
special
notations necessary for a neater treatment of the technicalaspects
of the stochastic calculus used here.By
W wealways
denote Wiener process withparameter
space 0 =[0, 1 ]N, taking
its values in(occasionally,
W is called(N, d)-Wiener process).
Thesymbol 06
is usedfor the set of all
pairs (s, t )
E0 2
with 0s t.
The
following concept
ofoccupation
time is natural for the represen- tation of local time ofWby
means of a Tanaka-like formula : for J EJ~,
a func-tion
v(., J, . ) :
Q x fl~ is called «occupation
timeof
W over »J,
ifI_ iN
(In
terms of[10 ], J, B)
measures the of time »spent by W(cc~, . )
in Bduring
the time intervalJ,
~r
=0 ;
cf.corollary
1 of theorem 3 in[10 ]).
A function
L(., J,.)
x~(f~d), ~(tR))
is called « local time Wover»
J,
if for P-a. e. co E QFinally,
a function x x~(p~))
is called « local timeofW
», if for P-a. e. co E QVol.
80 P. IMKELLER
1. TANAKA’S FORMULA FOR W
We now show how to
generalize
Ito’s formula(theorem
4 of(10))
in orderto obtain a
representation
of local time of Wby
stochasticintegrals (Tana-
ka’s
formula). By formally differentiating occupation
time overJ,
we conclude that local time over J at x E should begiven by
the «integral »
J 03B4wu-x 03A0 uN-1idu,
where5y
is Dirac’s 6-distribution at Letus
briefly
recall Ito’s formula(theorem
4 of[10 ]). For
such thatD~~~~~ f(W)
E x0,
P x~~~), (~, ~)
E~N
and>)~
ELc~~~>
>(0, ~)
EE ~ ~ ,
wehave, putting
Moreover,
for eachproduct
p of finite measures pi, 1 iN,
onthe existence of
(in (cv, s, t ))
measurable versions of theintegrals occuring
in
(1.1)
can beassured,
such that(1.1)
is valid forp2-a.
e.(s, t)
E , withJ =
]s, t ]. Comparing
the last term of(1.1)
to the above «integral
», we find that local time should begiven by
an extension of Ito’s formula to afamily
of functionsRd ~ R ~ { ~ }
which satisfies thepartial
differential
equations
It is well-known
(cf.
Schwartzf16],
p.44-47)
thatAnnales de l’Institut Henri
81 LOCAL TIMES FOR (N, d)-WIENER PROCESS
is a solution of
(1.2),
03B3dbeing
the measure of the surface of the d-dimen- sional unitsphere (yi
:=2).
We will now establish that in case d2N,
an extension of Ito’s formula to exists. But it turns out, that we can do better: if k E is such that
2 k +
d2N,
we can even show thatIto’s formula makes sense for We thus obtain not
only
Tanaka’sformula for W in case d
2N,
but a candidate for the kIDpartial
derivative(in
the spacevariables)
of the local time ofW,
if21 k + d
2N. Consi-dering
the termsof (1.1),
our task can beput
in thefollowing
words : establish thatfor
(~, 0 ~, x E ~d, ~ k ~ ] [(2N - d)/2 ] .
For
doing
so, we have to estimate thepartial
derivatives ofFN~d(x, . ).
Useinduction on the
order |q]
of the differentialoperator
and observe that for each (5 > 0 the function u ~u03B4 log
u is bounded on[1,
ao[
to concludethat
for q
eI~ o, ~
> 0 there is a constant c e f~ such thatConsequently,
(1. 4)
for(F, ~)
E A with orderm, k
E > 0 there exists c such thatWith the
help
of( 1. 4)
we can proveLEMMA 1. 2014 Let d E such that
2 I k ~
+ d2N, (~, ~) E 1~
with order m be
given.
Then(t~, x) -~ I I D~k~D{~~ ~~FN~ d(x, W~., t~ ~)~ ~ I {~, ~)
is
locally
boundedon I
xRd.
Proof.
Since(~, ~) E 1~,
wehave m ~ ~ ~ _
N and thus- J/2 V (1/2 - ~).
T aking (i . 4)
into account, it isenough
to show for l > -d/2
V(1/2 - m)
(~~~ x) -~ II ~I .~ - ~~ Ilc~,~>
islocally
bounded on0 ~
x(~d.
In
case l ~
0 this is asimple
consequence of theintegrability of |W1|l.
In case l 0 the fact that x -
E( I ~ - x ~ l )
has itsglobal
maximum atx = 0 for any Gaussian unit
vector ~
andscaling imply
82 P. IMKELLER
Since I >
1/2 -
m we are left with the assertionLet
f32l
:=2l),
We havewith a suitable constant Cl Since l > -
d/2,
is finite and since I >1/2 - m,
r --~rm+ 1-1
isintegrable
over[0, 1 ].
Thisgives (1.5). D
Remark. - The assertion of lemma I is notnecessarily
true for{~,
This shows that the formula of theorem 3 of[10] ]
cannotbe
generalized
in the same way as(1.1)
togive
arepresentation
of local time.By
what has been said above we are motivated andby
lemma 1 we areallowed to
give
DEFINITION 1. - Let d E E be such that
2 k ~ +
d 2N. For~d, (s, let, setting
J =]s, t ],
We will show now that
is,
infact,
agood
candidate for the kthpartial
derivative of local time of W. For this purpose, we need a measurable version of and some
knowledge
about theexchangeability
of« I~~a
~~~~ »and « dx ».
. LEMMA 2. - Let
(F, ~)
EA,
p on be aproduct
of finite measures p~,LOCAL TIMES FOR (N, d)-WIENER PROCESS 83
1
_
f_
N.Further,
suppose that a function g:I~~d ~ R ~ ~
~j~
satisfiesi ) (t~, x)
-~f I g(x, wc., r~ ~)~
islocally
boundedf~d,
--~
g(x, y)
is continuous onf~d B ~
Then there exists G e x x
~(~d), ~(p~))
such thatiii ) ~( . , s, t, ~:) = 0 J ~ I~~‘=~~.~( ~1~ X J~ g(x~ W ~...,) ]~)
forp2 x ~ d -
a. e.(s, t, x) ~E 0 2
xputting
J =]s, t ] ,
iv)
s,t, . )
islocally
squareintegrable
w. r. t.~,a,
for all s,t)
E ~x ~ 2,
for
p2 -
a. e.putting
J =]s, t ],
all h EProof.
Since p is aproduct
measure andiv)
andv)
are « local » pro-perties,
it isenough
toshow,
that for m EZ~
there existssuch that
iv’) t, . )
is squareintegrable
w. r. t.Àd
for all E Q x 0. *For
simplicity,
take m = 1. Put A =:] o, 1 ]
~ =:~( ] o, 1 ])
x~( ~ ), v -_ ~d I
x p(instead
of]0,
1]
resp.~(]o, 1 ])
resp. ~. in theproof
of lemma 2 of~ll ].
To make thisproof work,
we further mustreplace I . ( Iq by II
.~t(,03C6)
and resort to « lemma 5 and itscorollary »
of[10] instead
of « lemma 1 » of
(Il ].
DTHEOREM 1. - Let d
2N,
p on be aproduct
of finite measuresp~, 1
__ i
N. Then for each k E such that2 I k I -f-
d 2N thereexists E x
~(P)
x which satisfiesi ) K~k~( . ,
s, t,x) = M~k~( . ,
s, t,x)
forp2
x~,2 -
a. e.(s,
t,x) E a 2
xf~d, ii) K(k)(03C9,
s,t, . )
islocally
squareintegrable
w. r. t.Àd
for all(co,
s,t) E SZ
xD 2,
Moreover, I~~°}(., s, t,. )
is a local time of W over]s, t ] for p2 -
a. e.(s,
W has a local time.
84 P. IMKELLER
Proof
- Let k Esatisfy 2 ~ k ~ -I- d
2N. For(~, ~)
E A setAccording
to lemmal,~
~~ fulfilsi)
andii)
of lemma 2. Therefore we can chooseG~~, ~)
such thatiii)-v)
of lemma 2 are valid for thepair
~~,G~~, ~~).
Define
Of course, E x
~J ( ~ 2)
x~((1~~), ~(~)). i)
is a consequence of lemma2, iii)
and definition1 ; ii)
follows from lemma2, iv);
lemma2, v)
andthe
equality
together impli iii ).
Now fix t ~ II and take p:==
X
+ ESbeing
thepoint
massin
and
particularly
By (1.4)
and since W possesses moments of allorders,
thehypotheses
of theorem 4 of
[7C] ]
are fulfilled.Therefore,
It is clear how
(1 . 6)
has to begeneralized
so as togive {o .1)
for J =Rt .
Annales de l’Institut Henri Poincaré - Probabilités
85 LOCAL TIMES FOR (N, ~)-WIENER PROCESS
To obtain
(0.2)
with a suitable L E x xfirst define
L(., t, . ) by K(0)(., 0, t, . )
for rational t ~ II. Then use mono-tonicity
in t of theoccupation
time of W overRt.
For
arbitrary
p, the argument which proves that thecorresponding K~°j{ . ,
s,t, . )
is a local time over]s, t ] for p2 -
a. e.(s, t )
E~,
iscontained
in the one which was
given. D
Theorem 1
particularly
says thatt, . )
is thekID
distributional deri- vative of a local time over]s, t ] for
Px À 2 -
a. e.(cv, s, t )
e Q xU 2.
Our next aim is to
improve
this statementby
means of the stochastic cal- culus wedispose
of: we will show that there exists a version of which is continuous in(s, t, x).
proves to be the « classical » k~partial
derivative of a local time of W.
Hereby,
thefollowing technique
will beused
(cf.
Walsh[19 ]) : Kolmogorov’s
well-knowncontinuity
criterion for stochastic processes is verified for each term ofseparately.
This makesit necessary for
example
to estimate the moments ofSince for
(~,
theintegral
process in theø-variables
ofI~~~~~
canbe seen to be a
1-martingale (cf.
remark after lemma 4 of[10]),
this isa
job
for Burkholder’smartingale inequalities
forI~~~ ~~.
2. BURKHOLDER’S
INEQUALITIES
FORI~ ~ ~~~
Burkholder’s
inequalities
formartingales
with a discreteparameter
setare well-known
(cf.
Metraux[13 and
Merzbach[12 ],
p.43). They imply (2.1)
for 1 p oo there are constantsAp, Bp
> 0 such that for all mar-tingales
M and allpartitions (J~: j_ k _ r)
of I in J~In
particular, (2.1)
can beapplied
tothe 01_parameter martingales
to
yield inequalities which, however,
stilldepend
on thepartition
chosen.Now suppose that a sequence of
partitions
of in J isgiven,
whose meshgoes to zero. If we can establish convergence of the
corresponding
qua-Vol. 1-1984.
86 P. IMKELLER
dratic sums on the left and
right
sides of(2.1)
to a suitablelimit,
we obtaininequalities depending only
on this limit(« quadratic
variation»).
Thefollowing
lemma shows that this can be done forYo E ~ ~, (~, ~)
E ~.Finally,
anappeal
todensity
of inL(,
03C6) willyield
Burkholder’sinequa-
lities for all Y E
L{~,
~~ .LEMMA 3. - For
o ~
U EIIN
let(~, ~)
E - ~.Suppose
thatYo
E has anI-representation Yo
= 03B1k 1 whereKk= vk],
1 TE ~
1
--
k _ q. For n E ~l let(J’°n :
1_ j
_r(n))
be thepartition
which is gene- ratedby
Y ~ - - - 1 - k _u l :
q/ _ - - - ~
o - i _ n(
U U - .~U -1 - r n ( )U)
thepartition
of 0 U definedby
theprojections
o.f on IU,
1_ j
_r(n).
ThenProof - Taking
U =0,
we can avoid some unessential technicalities.Further, omitting n
as an index will cause noconfusion,
as it iskept
fixduring
thefollowing arguments.
Note first thatby linearity
Therefore, putting
the
triangle inequality implies
that it isenough
to showLet S c ~. Since W has
independent,
centeredincrements,
we have/ i2014r r r /* -iB
87 LOCAL TIMES FOR (N, d)-WIENER PROCESS
As in addition for J E
~,
1_ i _ d,
has variance with asuitable constant c
independent
ofJ,
weget
(Jensen’s inequality)
Combining (2.3)
and(2 . 4) yields
By
choiceof (J’ :1 __ j _ r), ri _’ n
+ 1 +qi for 1 ~
i N. Thisimplies (2.2).
D PROPOSITION 1. - For 1 p oo there exist real constants
Ap, Bp
>0,
such that for
(~, ~)
E~’,
Y EProof
Due to thedensity
inL~~,
the assertedinequalities
need to be established
only
forYo Evidently,
we canassume (91 == (9.
Using
the notations of lemma3, put
Vol.
88 P. IMKELLER
(2 . I ) implies
Moreover, by (2. 5),
the sequence n E isuniformly integrable for p
>1, and, by
lemma3,
it converges at least inprobability. Therefore,
Vitali’s theorem
completes
theproof.
DRemarks. 1. Doob’s maximal
inequalities
can be used tosharpen
theright inequality
ofproposition
1.2. For 1 p oo,
(, 03C6)
E Y EB(R)), proposition
1yields
the weaker
inequality E( | I(, 03C6)(Y) |p) ~ BpE([II | Y |2(., s)ds ]p/2)
.3. CONTINUITY OF THE LOCAL TIME OF W IN
( t, x),
DIFFERENTIABILITY IN xWe now come back to the
study
of smoothnessproperties
of local timeand its distributional derivatives
K~k~.
As will be seen, this amounts essen-tially
to thestudy
of the finiteness ofthe
moments of local time. The follow-ing
« moment lemma »plays
a central role.LEMMA 4. - Let - du - 2N 1 é E
N,
0 E fl begiven.
Thenthere exists Cl E R such that for all J =
]s, t e ~, s >_ u°,
x EL~d
Proof
2014 Sincel > - d, E(
is finite. In case l >0,
notethat Holder’s
inequality implies
for x Eu’
E0,
1_ i _
pThe desired conclusion follows
easily.
Let l 0. First observe that it isenough
to showLOCAL TIMES FOR (N, d)-WIENER PROCESS 89
(3.1)
there exists c2 e R such that forUO u’ En,
1 i p, withpairwise
different coordinates 1
_ j __ N, 1 _
1_ p,
andx E Lm
where 1
~ ~ ~ ~,
1~ / ~ N,
1~= ~ ~~.
Indeed, integrating (3.1)
over JPgives
the desired conclusion : introducenew variables
v~ := u J - r,
1_ j N,
1 i-- p,
observe 1 > - 2N andkeep
in mind that the set of all ...,uP),
not all of whose coordinatesare
pairwise different,
is a zero-set w. r. t.To prove
(3.1),
weproceed by
induction on p. For u >u°
we first decom- poseWu
in thefollowing
way. Consider the 6-fieldsand write
= ~°(~) + putting 1 ~ j C N .
Then
- -
’
1/2
Now let p = 1. For 1
-- j
_ N set a j :=~
1~ u°(u~ - u°) ~
. Inferfrom
(3 .2)
that~
is centered Gaussian with variance~ a~ .
1 jN 1 _ jN
Consequently,
for a Gaussian unit vector
ç) («
arithm. mean »« geom.
mean ») .
This is
(3.1) for p
= 1.1-1984.
90 P. IMKELLER
Now assume
(3.1)
is valid for p. SetT:=~ j: 1-- j __ N, up+1-
1 Ip+1maxu~ ~
and let q~, r~ be chosen such that
uqa
=max ~ u~ :
1_ q __
p,uq up + 1 ~
Vu°,
L~ y = min ~ uq :
1_
q >up + 1 ~,
For 1_ j _ N, ~)
can be derived from and
by
«interpolation »
resp. « extra- w i th some Gaussian unitvector 03BEj
such that(cf. (3 . 2))
(3 . 3) (, 1,
...,N, 1,
... , isindependent,
and, putting b,
=[ fl up+1)(up+1 _ uqjj)-1 ]
1-2014-
-1/2
resp.
b~
:=~ ~
+ 1-~ for j
eT,
with
suitable d)
E (~.Now we are
ready
for the inductionstep.
Weproceed
in a similar wayas
for p
=1,
the roleof
1 jNbeing
takenby
1/
jNTo
complete
theproof,
it remains toapply
the inductionhypothesis
and to look at the definition of
bj,
1_ j __
N. DRemark. Essential use is made of the
hypothesis
«u°
> 0 » in theproof
of lemma 4. This is the reasonwhy
our smoothness results(theorems
2Annale.s cle l’Institut Henri Poincaré - Probabilités
91 LOCAL TIMES FOR (N, d)-WIENER PROCESS
and
3)
contain no statement for intervals which « touch » theboundary
n a.
As a direct consequence of lemma 4 we can prove now
(by
a rather crudeestimation)
that the moments of are bounded.PROPOSITION 2. 2014 Let be such that
2 ( k ~ + d 2N.
Further, let p
eFl ,
0u°
eII,
and aproduct
p on~{0 )
of finite measures pi, I__
f__ N,
begiver?.
Then there exist ct ef~,
f =1, 2,
c2 >0,
such that forp2 x ~,d -
a. e.(s, t,
x~d, s >__ u°,
where is
given by
theorem 1.Proof.
Weproceed
in twosteps.
First we use Tanaka’s formula and Burkholder’sinequalities
in order to establish(3 . 5)
there exists c3 E R such that for(s, t, x) ~ 2
xu0,
For E A with order m, J =
]s,
t] E ~,
s >u°,
u> u°,
remark 2 afterproposition
1yields
Therefore, by (1.4)
and Tanaka’s formula(3 . 5)
follows once we have shownthat
(3 . 6)
for 0 61/2, (~, ~)
E A withorder
m, 1:=2(2N_ - d - ~ k ~
- m +~)
there exists c4 E [R such that for
J = ]s, t ] E -~, s ? u°, u ~ u°
But l > - d V -
2 Consequently, (3 . 6)
follows fromscaling (u >_ u°)
and lemma 4. Now remember that
K(0)(., s, t, . )
is a local time of W over]s, t ] for p2 -
a. e.(s, t) E Using
Fubini’stheorem,
we infer from this92 P. IMKELLER
Apply
theorem1, i )
andiii )
and theinequality
ofCauchy-Schwartz.
ThusE~ ( K~k~~ ~ ~ S~ t~ x) ~p)
for
p~ x ~,d -
a. e.(s, X [Rd
But from
Paranjape,
Park[1 S we
haveCombine
(3.5)
with(3.7)
tocomplete
theproof.
DTo be able to
verify Kolmogorov’s
criterion for we need to inves-tigate
the Holdercontinuity
ofLEMMA 5. -
Let q
Eb, r~
1. Forput
:_ ~ x E ~$a : ~ x - z ~ >-- 2
y -Z j ~ ,
for y > 0put gy : IR +
r
~
+ Then there exists such that forProof - Fix y,
z E OnAy,z,
use(1. 3).
Let x E Then for each won the line
segment connecting
y - x and z - x we haveTherefore,
with c2, . , c4
independent of x,
y, z E[Rd.
This
gives
the desiredinequality
onAy,z.
DWe are now
prepared
toverify Kolmogorov’s
criterion forM{k~.
This will be doneseparately
for the time(proposition 3)
and space(proposition 4)
variables.
Annales de l’Institut Henri Poincaré - Probabilités
93 LOCAL TIMES FOR (N, d)-WIENER PROCESS
PROPOSITION 3. - Let
dEN,
k E be such that2 ~ k ~
+ d 2N.Further, let p
E 0u°
E0,
0 r~1/2
begiven.
Then there exists Cl E I~ such that for all x E(s, t), (s’, t’) e ~2, s,
s’> u°
~’roof:
Fix 0 ~ such that 6 + ~1/2
andput
~~[r~ ,
We will show for each
(~, ~)
E A with order m(3 . 9)
there exists c2 e R such that for x E~d, (s, t), (s’, t’) E ~ 2,
s, s’> u°
Once this is
done,
the assertion follows from Tanaka’s formula.Compare g~~~ ~~(s,
t,x)
andg~~° ~~(s’, t’, x)
coordinatewise in s,s’,
t, t’ to conclude that it isenough
to find a constant c3 such thatE( ~>(s,
t,x)
canbe estimated
by c3|
si-ti |p~/|| for x E(s, t)
EQ 2,
and all 1 i N.Hereby
it is essential todistinguish
between andTherefore,
like in theproof
ofproposition 2,
anapplication of Burkholder’s inequalities
reduces
(3.9)
to(3.10)
there exists C4 E R such that for x E(s, t)
E0 2, s >_ u°
First consider the case Estimate the
integrand
with thehelp
of(1.4)
and conclude
by (3.6), observing
that l =2(2N - d - ~ k ~ - m --~ b) > 2ri - 2~ ~ ~.
The case i is more
difficult,
since lemma 5 has to be used forestimating
the
integrand.
Asu > UO
>0, by scaling
we maysuppose ~ == { i ~. Then, according
to lemma5, (3.10)
is a consequence of(3.11)
there exists cs such that for x E(s, t)
EP,
i)
94 P. IMKELLER
where J =
]s, t ].
To argue
(3.11), i),
useindependence
of increments tosingle
out a factorand observe that the remainder can be treated
by
lemma4,
sinceby
choice’ of~, l - 2r~
> - d V -2 ~ ~ ~.
To argue(3.11), ii )
andiii ),
wemake use of the boundedness of the moments of local time
(proposition 2).
To infer
ii),
we will show(3.12)
there exists c6 E (l~ such that for(s, t )
E0 2 ,
q Ef~ +
Note first that
(3.12) implies (3.11), ii). Indeed,
is inde-pendent
ofW~.,~~~. Consequently, by (3.12),
the left side of(3.11), ii)
is lessor
equal
towhich, by
D o ob’sinequality,
is with a suitableBut
evidently implies (3.11), ii).
To prove(3.12),
for familiar reasons, we may and do assume ~ _ 0. LetL(.,
s,~, . )
be a local time of W over J =]s, t ], (s, t) E ~ 2, s ~ u°.
For(0.1) gives
Probabilités
95 LOCAL TIMES FOR (N, d)-WIENER PROCESS
Therefore, proposition
2with
p =X (E{S=~ ~- E~tL}),
E"being
thepoint
1 iN _
mass in v
E Q yields
a constant c8 E~,
such that for x E~d, (s, t) E ~ 2,
qE ~ +
As 1 > -
d,
theintegral
on theright
side exists and(3.12)
follows.Finally,
for(3.11), iii) independence
of increments can be used innearly
the same way as it has
just
been done. Consider the processwhich is
again
an(N, d)-Wiener
process.Observe that
use this to write
(3.11), iii )
in terms of X and carry out ananalogous
cal-culation to the one which
proved ii ).
Thisgives
the desired conclusion. D PROPOSITION 4. - Let d E be such that2 I k + d
2N.Further,
let p E 0u° E 0,
0 r~1/2
begiven.
Then there exists cl E I~ such that for x, ye(s, t ) E ~ 2,
Proof
- Fix 0 ~ such that 6 + 111/2. Following
theproof
of pro-position 3,
we can, due to Tanaka’sformula,
fix(F, ~)
E A with order m andapply
Burkholder’sinequalities (in
the form ofremark
2 after pro-position 1)
to see that it suffices to show(3.14)
there exists c2 E R such thatfor x, y
E(s, t) e P, s >_ u°, u >_ Uo
Put
again
:=2(2N - d - ~ k ~ - m ± ~).
Use lemma 5 to estimate the inte-grand,
andscaling,
in order to trace back(3 .14)
to(3.15)
there exists c3 E R such thatfor x,
y E(s, t) ~ ~ 2
96 P. IMKELLER
where J =
]s, t ] .
By
choice of~,
1 -2~
> - d V - 2N.Therefore, i)
follows from lemma4,
whereasii )
andiii )
are consequences of(3.12)
and(3.13)
DWe are now
ready
to state the first smoothness theorem for the local time of W.THEOREM 2. - Let d 2N. Then for each k E
Nd0
such that2 |k|
+ d 2Nthere exists E x
~( ~ 2)
x which satisfiesL~°~( . ,
.s,t, . )
is a local time of W over]s,
t] for
all(s, t)
EU o.
Proof :
- For k such that2 ~ k ~
+ d 2N let begiven according
to theorem 1 with p =~,N.
Fix 0u°
E0,
0 ~1/2.
Eventually
alter on a P xÀ2N+d-zero
set to infer frompropositions
3and 4 : there exists e 1 e R such that
for x,
y E(s, t ), (s’, t’)
E0 2, s,
s’> u°
As we can take p >
(2N
in thepreceding inequality,
we obtainKolmogorov’s continuity
criterion for(see
forexample
Bernard[4 ]).
Thus there exists
L~
x~(U2
n]u°, 1 ]2)
x~(IF~d), ~(fl~))
with(in (s, t, x))
continuoustrajectories
such thatConsequently
we can(P - a. s.) uniquely
define processesE x
~{ ~ 2)
x~(~d), ~((~))
which coincide with onQ 2
n]M~j_] ]
x~d
and have continuoustrajectories
in x~d. i)
follows
from (3.16)
and theorem1, i) ; iii)
is a consequence ofii)
andtheorem