A NNALES DE L ’I. H. P., SECTION B
D. N UALART M. S ANZ
Changing time for two-parameter strong martingales
Annales de l’I. H. P., section B, tome 17, n
o2 (1981), p. 147-163
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Changing time
for two-parameter strong martingales
D. NUALART
and M. SANZ
Departament d’Estadistica Matemàtica, Facultat de Matematiques,
Universitat de Barcelona, Gran Via 585, Barcelona, 7 Spain
Departament d’Estadistica, Seccio de Matemàtiques,
Universitat Autonoma de Barcelona, Bellaterra, Barcelona, Spain
Ann. Inst. Henri Poincaré, Vol. XVII, n° 2-1981, p. 147-163.
Section B :
Calcul des Probabilités et Statistique.
RESUME. - Cet article aborde le
problème
de transformer unemartingale
forte de carre
intégrable, adaptée
a un processus deWiener, { MZ,
z ER + ~ ,
en un processus de Wiener a deux
indices,
au moyen d’unchangement
de temps. Concrètement on donne des conditions suffisantes sur une
famille de
regions
z ER + ~
pourque ~ M(DJ,
z eR + ~
soitun processus de Wiener.
On étudie en detail les
changements
de temps pour le processus de Wiener a deux indices et on caractérise les familles deregions
d’arretdéterministes transformant un
drap
brownien en un autre. On donne aussiune extension des résultats aux processus à n indices.
SUMMARY. - This paper studies the
problem
oftransforming
a two-parameter square
integrable
strongmartingale { M~,
z eR + ~ adapted
toa Wiener process into a two-parameter Wiener process
by
means of atime
change. Concretely,
sufficient conditions aregiven
for afamily
ofstopping sets { DZ,
z ER + ~
for{M(DJ,
z ER~ }
to be a Wiener process.American Mathematical Society 1980 subject classifications: Primary 60G44; secon- dary 60G40, 60H05.
Key words and phrases: Two-parameter martingales, stopping sets, stochastic inte-
grals, Wiener process.
Annales de l’lnstitut Henri Poincare-Section B-Vol. XVII, 0020-2347/ 1981 / 147/~ 5,00/
© Gauthier-Villars 6
We treat in detail the
particular
case ofchanging
time for the Wienerprocess
obtaining
some characterizations of allincreasing
families of deterministicstopping
sets which transform a Brownian sheet into anotherone. An extension of these results to n-parameter processes is also
developed.
1. INTRODUCTION
This paper studies the
problem
oftransforming
a two-parameter mar-tingale
into a two-parameter Wienerprocess { W ,
z ER + ~ by
means of atime
change.
It is well known
that, given
a one-parameter continuousmartingale { Mt, t
ER + ~ ,
there exists afamily
ofstopping
t ER + ~
suchthat { MTr, t E R + ~
is a Brownian motion. Formulti-parameter
processes there is no immediate extension of this result because we do not havea
good generalization
of the concept ofstopping
time.In
[2] ]
R. Cairoli and J. B. Walshshowed, through
anexample,
thelimited usefulness of
stopping points
to treat theproblem
oftransforming
two-parameter
martingales. Indeed, they
exhibit a two-parameter Gaussian strongmartingale { M~,
z ER + ~
so that for any deterministic timechange
of the form z --~
r(z),
where r is amapping
ofR +
ontoitself,
the process~
z ER + ~
can never be a two-parameter Wiener process.The basic aim of our work is to
study
thisproblem using
the notion ofstopping
set, introduced in[3 ] and [4 ].
In section2, given
a square inte-grable
strongmartingale { M~,
z ER~ } adapted
to a two-parameter Wienerprocess, we set up conditions for an
increasing family
ofstopping
sets{ D~,
z ER~ } for {
z ER~ }
to be a Wiener process ; and a method to construct these families isgiven.
The third part is devoted to the characterization of all
increasing
families{ D~,
z ER + ~
ofstopping
sets which transform a two-parameter Wiener process into another one.Finally,
an extension of these results for n-para-meter processes is
given
in section 4.We thank Prof. J. B. Walsh for
having suggested
theseproblems
to us.Next we introduce the basic notation.
R +
will denote thepositive quadrant
of theplane
with the usualordering (si, tl) (s2, t2)
if andonly
if(si, ti)
«(s~, t2)
meansthat s
1 s2 and ti 1 t2, and we will writeAnnales de l’Institut Henri Poincaré-Section B
CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES 149
t 1)
A(s2, t2) if
s2and t1
t2. If z 1 « z2,z2 ]
denotes therectangle { z~R2+/z1
« zz2} ,
andRz
denotes therectangle [(0, 0), z] ]
for every Let us represent the Borel a-field of
R2+ by R
and theLebesgue
measure on Rby
m.Let W
= ~ WZ,
z ER~ }
be a two-parameter Wiener process in a com-pleted probability
space(Q, iF, P),
thatis,
a Gaussianseparable
process with zero mean and covariance functiongiven by
~ ~ Z,
will be theincreasing family
of a-fieldsgenerated by W ;
thatmeans,
~Z
=6(W~, ~ z) completed by
the null sets of .Moreover,
for each(s, t)
ER~
we will consider thefollowing increasing
families of a-fieldsLet
Eo
be the = 0 or t =0 ~ .
An
Fz-adapted, integrable
process M= { Mz,
z ER2+ }
is amartingale
if =
MZ1
for all zl 1 z2, and it is a strongmartingale
ifMZ
=0,
when z E
Eo
and2. STOPPING SETS
AND CHANGING TIME FOR STRONG MARTINGALES
Following [3 ],
we introduce the notion ofstopping
set.DEFINITION 2.1. - A
stopping
setD(cv)
is a map from SZ to the subsets ofR~ satisfying :
i)
Theprocess { z E R + ~
isprogressively
measurable.(In
par-ticular it is measurable and
adapted).
ii)
For all cv ~ 03A9 such that we haveD(cv)
isclosed,
and z Eimplies R~
cWe will say that
D(cD)
is a boundedstopping
set if there exists zo such that c for all co E Q.If
Di
andD2
arestopping
sets, then so areDi
nD2
andD1 ~ D2.
To each
stopping
set D such thatE(m(D))
oo, we can associate theVol. 2-1981.
D. NUALART AND M. SANZ
random variable
W(D) =
and the a-fieldFD generated by
thevariables {W(D
n z ER2+ } together
with the null sets of iF.Let
L2w
be the class of allFz-adapted
and measurable processes03C6 = { 03C6z, z~ R2+ }
such thatRz0E(03C6(z)2)dz
oo, for allLet
L2ww
be the class of allprocesses 03C8 = { z’),
z, z’ ER2+ } satisfying
i) z’ ; a~)
is measurable and~~ ~-adapted, ii) z’)
= 0 unless z Az’,
iii)
for all oo.For
processes §
EL2ww and 03C8
ELWW,
the stochasticintegrals 03C6(z)dWz
and can be defined
(see [1 ]).
We need the follow-RZo RZo
ing
results(see [4 ])
which determine conditionalexpectations
of suchstochastic
integrals
with respect to the a-field~D’
PROPOSITION 2 .1. - Let D be a
stopping
set andlet §
E ELw.
For all zo E
R~
we haveThese formulae are still true if we take stochastic
integrals
of processesintegrable
over allR~.
Stopping
sets haveproperties
which areanalogous
to those ofstopping
times for one-parameter processes.
1.
If Di
c=D~
then c=2. For each
stopping
set D withE(m(D))
ac, the random variableW(D)
isFD-measurable.
3.
~D~~D.
= and V~D.
=4. If D is a
stopping
setand §
is anFz-measurable
randomvariable,
then is
FD~Rz-measurable.
For the
proof
of theseproperties
see[4 ].
Annales de l’Institut Henri Poincaré-Section B
CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES 151
A
stopping
set D will be calledsimple
if there exists apartition
ofR +
into
rectangles ] and
setsAi~
E such thatThese
rectangles will
be closed if zij eEo.
For each
stopping
set D there exists adecreasing
sequence ofsimple stopping
sets such that(see [3]). Moreover,
~
=(see [4]).
~n ,
Let M =
{ M~,
z eR~ }
be a squareintegrable
strongmartingale.
Thereexists a process
(~
eL~
such
thatM~
=(see [7 ]).
For eachstopping
set D such that oo we can consider the random variableM(D)
=r
R2 +R2 :o(Z)c/>(Z)dWz-
Our purpose is to find afamily
random variable
M(D)
==jp~
Our purpose is to find afamily
of
stopping
sets z eR~. }
such that z eR~ }
is a Wienerprocess.
First,
we establish several lemmas in order to reach the main result.LEMMA 2.1. - If the
family
ofstopping
sets z eR~ }
satisfiesthe property
then,
the associatedfamily
ofR+ }
isincreasing,
andfor all
(s,
the a-fields =B/
andBy
T~O~
are
conditionally independent, given
Proof
- For each 03C3 s and i a t we know(see [4 ])
that the a-fieldsand are
conditionally independent given
= This factleads
immediately
to the statement of the lemma. DLEMMA 2.2. - If M
= ~ Mz,
z ER + ~
is a squareintegrable
strongmartingale and { D~,
z ER + ~
is afamily
ofstopping
setssatisfying (2 . 3),
and such that oo for all
(s,
then{M(DJ,
is a strong
martingale
with respect to thefamily
of(7-fields {
z ER + ~ .
Proof.
- If(s, t) (s’, t’)
let us writeTo show that
E(M(D)((s, t), (s’,
V =0,
it suffices toverify
E(M(D)((s, t), (s’, t’)
V o for all 6 > s’ t’.Using (2.1)
and the fact that V ~’e haveE
i M(D)((s, t), (s’,
vLEMMA 2.3. - If
Mst
= is a squareintegrable
strong mar-Rsc
tingale and { Dz,
z ER2+ }
is afamily
ofstopping
setssatisfying (2 . 3)
andi.
such that
sup |1Dst(z)03C62(z)dz|
w R ~+ c oo for all(s, t)
ER +,
thenis a
martingale.
Proof
- Notice thatM(Dsr)2 - 1Dst(z)03C6(z)2dz
is anintegrable, FDst-adapted
process due to property 4 ofstopping
sets.The two-parameter Ito formula
(see [6]) applied
toclaims
.
The second term on the
right
is squareintegrable
because of conditionAnnales de l’Institut Henri Poincaré-Section B
153 CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES
and
by (2.2)
is aFDst-martingale. Indeed,
if(s’, t’) (s, t),
we havesince
due to property 4 of
stopping
sets.The first term of
(2.4)
is squareintegrable
becauseBy
a local property of stochasticintegrals
wehave,
a. s.,. ~~ -. - J~ .. - ~ » , ...
for all z E
R + .
Then,
the first term of(2.4)
also defines anFDst-martingale
as followsfrom
(2 .1 ) :
, ,. ,
using (2.5),
andbeing (s’, t’) (s, t).
DTHEOREM 2 .1. Let
Mst
= E be a strongmartingale,
and
{ DZ,
z ER + f
afamily
ofstopping
setsverifying properties (2 . 3)
andThen { M(DJ,
z ER~ }
is a two-parameter Wiener process.Proof - Let ( ~Z,
z ER + ~
be anarbitrary increasing family
of a-fieldsverifying
thefollowing
condition : the a-fields~ 1
and~Z
areconditionally
independent given ~ y,
for allD. NUALART AND M. SANZ
An extension of a well known result of P.
Levy,
obtainedby
E.Wong
for two-parameter
strong martingales,
states thatif { MZ, ~Z,
z ER + ~
is acontinuous strong
martingale (s, t)
ER2+ }
is antingale,
thenMz
is atwo-parameter
Wiener process.Thus,
weonly
have to prove thatM(DJ
is a continuous process,taking
into account the
preceding
lemmas. From Cairoli’s maximalinequality
we deduce that
For each 8 > 0 and
(s,
letBE(s, t) = { z e R~/~ I (s, t)
-z ~ ~ E ~ .
We have
because z, z’ E
t) implies
z, z’ E[(s
-~, t - ~), (s
+ 8, t +E) ].
Taking 8
=1/n4
andusing
the Borel-Cantelli lemma we find thatThus. a. c., for
each 17
> 0 there exists 6 > 0 such thatand, therefore,
is continuous. DWe can prove the existence of such a
family
ofstopping
sets for aparti-
cular case.
PROPOSITION 2.2. 2014 If
03C62(s, t)
is anincreasing function of s,
such that~0 03C62(s, y)dy
==~~s,
then there exist families ofstopping
sets{ Dz,
with
properties (2.3)
and(2.6).
Proof.
2014 Fix(s, f)
eR2+
and consider the functiondefined for 0 x s.
Annales de l’Institut Henri Poincaré-Section B
CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES 155
Then,
define as the closed hull of{ Dz,
z ER + ~
is afamily
ofstopping
setssatisfying (2 . 3)
and(2.6).
Indeed,
since t ;c~)
isincreasing
in s,cv)
isdecreasing
forall cc~ E Q and verifies
ii)
of Definition 2.1 for all(s, t)
ER~
andcv E Q. If 0 we have
due to the
continuity
of thefamily { Fz,
z ER2+ } ,
and thisimplies
theprogressive measurability z E R + ~
in view of the remark afterProposition
2 .1 of[3].
Conditions
(2.3)
and(2.6)
can beeasily
verified. DWe can
apply
this result to anexample
studiedby
R. Cairoli and J. B. Walsh in[2] :
In this case is
increasing in s,
and we haveThe
family
of thecorresponding stopping
sets isThen, { M(DJ,
z eR + ~
is a two-parameter Wiener process,although
it is shown in
[2 that {
zeR + ~
cannot be a two-parameter Wiener process for any transformation r :R2+ ~ R + .
If condition
~0 03C62(s, y)dy
= oo does nothold,
then thestopping
setsDz
given by (2.7)
existonly
forpoints
z =(s, t) verifying
The
following proposition
states the local existence of thefamily D~
when the function is smooth. It is clear form the next section that these families will never be
unique.
PROPOSITION 2.3. -
Suppose
that there exists aneighborhood
Vof(0, 0)
in
R~
where20142014 (z)
~ K oo, and~(z) ~
a > 0 for all z eV,
m e Q.Then,
there exists afamily
ofstopping
sets z e with proper- ties(2.3)
and(2.6).
Proof.
- Let Zo =(so, to)
such thatRz0
c: V, and s0t0a/K.
Generalizing
the method used inproposition (2.2)
we can consider adecreasing
continuousfunction ~ : R+ -~ R+,
and defineLet
a(s)
= infx / x003B2(x’)dx’ = s }
,inf 03C6
= oo.Define
Dz equal
to the closed hull ofThen,
if we can prove thatf (x,
isdecreasing
and finite for all t to, and cv eQ,
thefamily D~
willverify
therequired properties.
Set = a - Then
f (,s) t
for all s so, and t to. From~o ~2(x, y)dy
=(a - Kx)t, taking
derivatives with respect to x, we Joobtain,
for all(s, t)
eR~~,
Finally,
theinequalities
imply f ’(x)
03. TIME CHANGE
FOR A TWO-PARAMETER WIENER PROCESS
Let z E
R2 ~
be afamily
of deterministicstopping
sets. Thatmeans
Dst
is a closed subset ofR~ containing (0, 0),
and such that z EDst implies Dst,
for all(s, t)
ER + .
In this section we
study
all families such z ER~ }
is atwo-parameter Wiener process
whenever { W~,
z eR + ~
is.Annales de l’Institut Henri Poincaré-Section B
157 CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES
By
Theorem 2.1 it isenough
to suppose that thefamily ( DZ,
z ER + }
verifies
Every family
ofstopping
sets with theseproperties gives
rise to anisometry
.defined
by
=Indeed,
let us define =1Dst - 1Dut - 1Dsv
+1Duv
and extend Tby linearity
to all linear combinations of characteristic functions of rec-tangles. By (3.1)
and(3.2)
T preserves innerproducts,
so that it has aunique
extension to anisometry
ofL2(R+, PlJ, m).
If B E and
m(B)
oo,T(1B) equals (m-almost everywhere)
the charac-teristic function of a Borel set which will be denoted
by i(B).
The trans-formation T is an
endomorphism
of the a-field R which preservesLebesgue
measure, that
is,
m(B)
=m(i(B)) ,
for allBn
and B in ~ .R. Cairoli and J. B. Walsh showed
(see [2])
that wheneverD~
is a rec-tangle
for all zeR +,
then the function g :R + -~ R + belongs
to thegroup %
of transformations ofR~ generated by g+(s, t)
=(t, s)
and(~yN.
In section 3 we
give
an extension of this result formulti-parameter
processes.
PROPOSITION 3.1. - be a
family
of deterministicstopping
sets withproperties (3.1)
and(3.2).
IfDZO
is arectangle
for somezo E
R +,
there exists such thatD~
= for all z zo.Proof
- LetDZO
=RZ1’
and g be a transformation of %(which
isunique
if it has the form
g~)
such thatg(zo)
= z 1.Then, {g-1(Dz),
is afamily
ofstopping
setshaving
the sameproperties.
We will denote itby {
z eR + ~ .
We have The associated transformation~ : -~ ~
(defined
m-almosteverywhere)
maps the Borel sets ofRzo
into Borel sets of
RZ~.
We will show that for all z zo,
DZ
is arectangle.
For all c > 0 considerthe sets
H~ _ ~ (s, t) E R+/s ~ t = c } ,
andS~
=f (s, t) E R+/s ~ t c ~ .
For all
(s, t)
ER +
we have cSs.t. For,
if z EDst, R~
cDst, and,
consequently
s’ t ; then z ESs.t.
We also have
Dst
n~. Indeed,
suppose thatDst
n =~.
Then,
a =sup ~ x ~ y/(x, y)
E s . t,and, therefore,
the set G =Sx
has
positive
measure.T is an
endomorphism
of the a-field of Borel sets ofRZO
which preservesLebesgue
measure, so it follows thatG c lim sup m-a. e.
We also have
(VG)
n G =~,
for all n >0,
since G nS~ = ~,
butTG =:
Dst
cSa (which
is a consequence of the definition ofa),
andSa.
And that leads to a contradiction.
Therefore,
there exists apoint (u, v)
Est ~ Hs.t,
and we must haveDst = Ruv.
We
define y : Rzo Rzo by
means of theequality Dst
=Ry(s,t). Using
methods
analogous
to those of[2 ] we
can provethat y
isorder-preserving, and, therefore,
it coincides on eachHe
with a transformation of ~. Thiscan
only
be theidentity
map or g + .Consequently,
y = g + or y =Id., and, therefore,
for all z zo,D~
= =Rg(z)
orD~
= DCOROLLARY . be a
two-parameter
Wiener process.If { D~,
z E is afamily
of deterministicstopping
sets contained inRZo,
and such
that {
z e is atwo-parameter
Wiener process, then for all(s, t)
ER~
we haveDst
=Rg(s,t), where g
= Id. orIf we do not restrict ourselves to a
rectangle
thereexist,
as we shallAnnales de l’Institut Henri Poincaré-Section B
159
CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES
see, families of deterministic
stopping
z ER~ } satisfying
pro-perties (3.1)
and(3 . 2)
which are not of the formD~
= ~.Notice that the set H
= ~ z
E is arectangle }
is closed and satisfiesz E H
implies R~
ci H.Therefore,
there exists such thati(A)
=g(A)
for all A ci
H,
but we cannot determine the transformation r outside H.We will now
study
conditions under which there exists a continuous functionf : R~. -~ R~
such thatD~
= for allNotice that every deterministic
stopping
set can be determinedby
adecreasing
curve : ifD = {
z ED/3z’
ED,
z «z’}
the set L = D -D
is either the empty set, and then D is the union of two segments on the axes,or it is a continuous t E
[0, 1 ] ~
suchthat,
if t2, thenThe
points 0(0)
and0(1)
may beinfinite ; 0(0)
eOY and0(1)
E OX ifm(D)
is finite. L will be called thestopping
line associated to D.For all we define
D; =
These setsclearly satisfy
T > ozED; implies R~
cD; ; zED; implies R~
cDt .
Moreover, D;
nDst
andD;, Dt
are closed sets. In order to showthis,
choose a sequence zn inD;
with limit z ; z" isbounded, therefore,
there exists i such that zn E for all n ; so it follows that c
D; .
Therefore, D;
andD1
arestopping
sets. Let~,s
and~,2
be thestopping
lines associated to
D;
andrespectively.
Notice that these curves arenon
disjoint,
and theirintersection, ~,s
n is contained in theboundary
of
DSr.
PROPOSITION 3 . 2. - z E
R + ~
be afamily
of deterministicstopping
setsverifying (3.1)
and(3.2). Suppose that,
for all(s,
the
curves 03BB1s and 03BB2t
intersect in aunique point, then,
there exists an oneto one, continuous function
f : R + --~ R~
which preservesLebesgue
measure and such that
D~
= for allProof
- Definef (s, t)
as the intersectionof 03BB1s
with Let zn =(sn, t")
be a sequence whose limit is z =
(s, t). If sn ~ s and tn
~ t, the curves~, n,
intersect in fourpoints
and determine a compact setAn,
whose areais the same as that of the
rectangle
determinedby
zn and z. This area goes tooc z
zero when n tends to 00 . We have
~ 03BB1s
n03BB2t, so ~An = { f(z) } ,
and, therefore, f (z)
n ~f (z).
"=i i "=i iSince i is one to one and
order-preserving,
it followsimmediately
thatf
is one to one and =
D~,
for all It can also be shown thatT(B)
=f (B)
for alland f
preservesLebesgue
measure. DConversely,
if we have acontinuous,
one to one functionf : R + -~ R +
which preserves
Lebesgue
measure and such thatR~
c if z Ethen { f(R=),
z ER2 ~
is a deterministicstopping
setsfamily satisfying (3.1)
and
(3.2). Henceforth,
we restrict ourstudy
to this kind of families.The set Jf of such functions have
semigroup
structure with the compo- sition asoperation
and contains ~. Each functionf
E Yf determines a setH f = {
z ER +/
is arectangle ) = ( (s, t)
ER +/ fi(s, t) ’ f2(s, t) = s . t ~ ,
where
I(z)
=( fl (z), f2(z)) ;
and we know that the functionf
coincideson
H f
with a transformation of the group~,
because ofProposition
3 .1.Let us consider the set
~ _ ~ H
cR~/H
isclosed, Eo
cH,
and z E Himplies R~
cH ~ ,
and for each H let us write
0
RH
= = z, ~z~H andfl(s, t)’ f2(s, t)
s’t,d(s, t)~H } .
We have a
partition For,
iff
E~f,
thereexists g
E ~HEft
such that
f
coincides with g onHI’ and, therefore, g ~ 1 ~ f
ELet be fixed and let a = sup s ’ t ; suppose 0 a oo. A necess- (s,t)EH
ary condition for to be non empty is that H n
H~
is a connected set.Indeed,
iff
E then H nHx
is a connected set,since, given
z l, z2 Ewe have
RZ1 U RZ2
c H. If G is the bounded connected component ofS~ - (RZ1 U RZ2),
theproperties
off imply
that1(0)
=G, and,
there-fore, f
is theidentity
map on the segment of thehyperbola Hex
determinedby
Zi 1 and z2.Conversely,
if H nH~
is a connected set we may expect that~,
and we will prove it when H is the
rectangle R 11.
Besides,
if a =0,
H = E0and,
as we shall see,~.
The C1-class functions of the
semigroup
R are those functionsI(z)
=f2(z))
such thatI(s, t),
orI(t, s)
are solutions to the follow-ing
differentialequation :
with the constraints
Annales de l’Institut Henri Poincaré-Section B
CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES 161
For
example,
ifR+ - R+
is aC2-class
function with =0,
> 0 and
0,
thenf (s, t)
=belongs
to Jf. In thecase >
0,
we obtain functions of %(*).
If = es -
1, f (s, t)
=(eS - 1, t. e-S) belongs
toConsider the functions
It is easy to
verify
thatf
E E~H2,
whereHi - ~ (s, t)
ER + /0
s1 }
and
H~ = ~ (s, t)
ER + /0 t 1 ~ . Consequently, fog
ELet
Mst
= ELw,
be a strongmartingale and { DZ,
zeR2+ }
a
family
ofstopping
setsverifying properties (2.3)
and(2.6). Then, by
Theorem
2 .1, ~ M(DZ),
is a two-parameter Wiener process. The results obtained in section 3imply
that thisfamily
is notunique ; for, {
z ER~ }
is anotherfamily
ofstopping
sets with the sameproperties,
for each
f
E ~.4. EXTENSION TO n PARAMETERS
The
partial
order inR +
will be(s 1, ... , sn) (t 1,
... , n.Let { Wt, t
eR~ }
be a n-parameter Wiener process, that means a separate Gaussian zero mean process with covariance functione
R + ~
be theincreasing family
of a-fieldsgenerated by Wt,
that
is, ~t
=t).
The
following
resultgives
a differentproof
andgeneralizes
to n-para- meter processes the Lemma 4 of[2 ].
PROPOSITION 4.1. -
Let f : R + -~ R~
be amapping
such that(*) The stopping sets D~ = f(Rz) of this kind coincide (for a fixed co) with the stopping sets defined by (2 . 9), where 1 and f3(x) =
Vol. n° 2-1981.
e
R + ~
is an n-parameter Wiener process, thenf
has the formwhere ...,
Àn
arepositive
real numbers withi~~ 1 ... ~’~n
= 1 and 8 is apermutation of { 1,
...,n ~ .
The set of these functions is a group eg.Proof
- If r is the covariance function of the n-parameter Wiener process, the functionf
verifiesIt can be
shown,
as in[2], that f
isorder-preserving,
thatis, s
t ifand
only
iff (s) f (t).
Define
Dt
= for all t ER + . Then { Dt, t
eR + ~
is afamily
of deter-ministic
stopping
sets(for
allt E R +, 0 E Dt, Dt
is closed and s timplies Rs
cDt) verifying
where m is the
Lebesgue
measure on the Borel a-field ~ ofR~.
(4.1)
holdsbecause f
isorder-preserving,
and(4.2)
follows fromm(Ds)
=r(f(s), f {s))
=r(s, s).
This
family { Dt, t
ER + ~ gives rise,
as in section3,
to a transformationT : ~ --~ ~
(defined
m-almosteverywhere)
which preservesLebesgue
measure and the set
operations,
and such thatT(RJ
=Dt
=Rf(t)’
forWe will first prove that
f
leaves invariant the class of linesparallel
to acoordinate axis.
Given a
point
s = ...,sn)
denoteby si
=(si,
...,si,
...,and write s =
(si, si).
Fix the coordinatesof si
and consider the line~ (~, x;),
r ~0 ~ , then,
thepoints { f(a, s~), ~
~0 }
have all but one coor-dinates
equal. Indeed,
choose 8 >0 ;
+ £,si), and, therefore,
the
regions
are
mutually disjoint
because so are the sets -R~.~;.s;>,
i=1, ..., n.For each i =
1,
..., n, denoteby 8(i)
the non constantcomponent
ofthe
points { f(a, si),
cr ~o ~ .
We have to show that8(i)
does notdepend
on the
point
s.Let t =
(ti,
..., be anotherpoint.
For afixed i,
we want toprove that the lines determined
by { f (6, s~), 6 > 0 ~
andf (6,
~ 0Annales de l’Institut Henri Poincaré-Section B
CHANGING TIME FOR TWO-PARAMETER STRONG MARTINGALES 163
are
parallel.
It suffices to consider the case sit~. Then, f (6, s~) f (6, ti),
for all 03C3 > 0. Both lines
given by ( f(a, si),
6 >0 } and ( f(a, ti),
03C3 >0 }
are
parallel
to a coordinateaxis,
andthey
contain a set of different orderedcouples
ofpoints ; therefore, they
areparallel.
Let
fl (s),
..., be the components off (s).
For all 7,0,
wehave
Consequently,
if all the components arepositive,
and the
quotient si)/a
isindependent
of a. Denote itby Then,
h(ils)
=Each coordinate must not
depend
on the individual variationsof sj for j ~
i.Therefore,
is a constant, say and theProposition
is
proved.
DFor a more
general changing
time of a n-parameter Wiener processusing
afamily {Dt, t
eRn+ }
of deterministicstopping
sets, all results of section 3 may beproperly
extended. Inparticular,
if thefamily
satisfies(4.1)
and
(4. 2), ~ W(Dt), t
eR~ }
is a n-parameter Wiener process and we coulddevelop
ananalogous
characterization of such families ofstopping
sets.REFERENCES
[1] R. CAIROLI and J. B. WALSH, Stochastic integrals in the plane. Acta Math., t. 134, 1975, p. 111-183.
[2] R. CAIROLI and J. B. WALSH, On changing time. Lecture Notes in Math., t. 581, 1977, p. 349-355.
[3] R. CAIROLI and J. B. WALSH, Regions d’arrêt, localisations et prolongements de martingales. Z. Wahrsheinlichkeitstheorie und Verw. Gebiete., t. 44, 1978, p. 279- 306.
[4] E. WONG and M. ZAKAI, Weak martingales and stochastic integrals in the plane.
Ann. Probability, t. 4, 1976, p. 570-586.
[5] E. WONG and M. ZAKAI, An extension of stochastic integrals in the plane. Ann.
Probability, t. 5, 1977, p. 770-778.
[6] E. WONG and M. ZAKAI, Differentiation formulas for stochastic integrals in the plane. Stochastic Processes and their Applications, t. 6, 1978, p. 339-349.
( Manuscrit reçu le 1er octobre 1980)
Vol. n° 2-1981.