DE L ’U NIVERSITÉ DE C LERMONT -F ERRAND 2 Série Probabilités et applications
F. U TZET
On a non symmetric operation for two-parameter martingales
Annales scientifiques de l’Université de Clermont-Ferrand 2, tome 87, série Probabilités et applications, n
o4 (1985), p. 113-130
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Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques
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ON A NON SYMMETRIC OPERATION FOR
TWO-PARAMETER MARTINGALES
F. UTZET
ABSTRACT: In this paper we define a
martingale
M*Nsuch that
by symmetrization provides
themartingale
~
MN which takes
part
in the multi-dimensionalIto
formula for continuoustwo-parameter martingales.
0. INTRODUCTION
In the
compact
version ofIto
formula(see [3] [8])
fora continuous
two-parameter L4-martingale M
a newmartinga-
le
1~
is involved.By polarization,
we can defineMN ,
and thismartingale
takespart
in the multi-dimensionalIto
formu- la(see [8]).
In thiswork,
we define amartingale
M*N( M
and N continuous
LP-martingales, p ~2). Roughly speaking,
M*N is the limit of sums like
Then,
We prove a convergence in
Hp/2
for M*N which is very use- ful tocompute
M*N and M in several cases.We, also compute
the
quadratic
variation of M*N.We should
point
out that themartingale M ,
writtenJ ,
for a
continuous, strong L4-martin g ale
~ was definedby
Cairoli-Walsh
[2].
Themartingale M*N ,
writteni MN 1
for twotion.
1. NOTATIONS AND DEFINITIONS
We consider on the usual
partial ordering (s,t)
if ss’ and we will write
(s, t) (s’,t’ )
if s s’ I andtt’ . For
z, z’
E zwill
bethe
set:
z §sz’) ,
andsimilarly
we def ine[z, z’ ] .
PutRz - ]0,z] .
Let
(Q,F,P)
be acomplete probability
space and let{[z ’
z zE]R2
+ be anincreasing, complete, ’right-continuous
family
ofsub-a-fields
of F ; = we also. assume thatILF
=z z +satisf ies the condition
( F4 )
of Cairoli-Walsh[2J:’
If we define= V
Fsv
andLF ut I
thenFsoo
and are"
v§o
and F =
Fut’
then F andconditionally independent given F .
=StA stochastic process M =
{M ,
Z +adapted
toIF
z z + andintegrable
is said to be amartingale
iff or each
z z’, E[M,|F] =
M . We will denote f orMp
z =Z z =C
(p ~1)
the set of allsample
continuousLP-martingales
M =
Im
z zE R2+} (that
+is,
E z oo, for all z +and for
MP(z )
=c 0 the set of allsample
continuousmartingales
M =
Imz
z E[O,zoJ}
withE[IM z IP]
oo.0 -
For a process X =
Ix- I
z Z + the increment over]z,z’]
(z=(s,t),
1SX ( J z , z ’J) = xz X .
A process z z + is said to be
increasing
if it is
right-continuous, A
= 0 on the axes, andA ( ] z , z ’ ] )
~!0 for allrectangle ] z , z ’ ] .
Given amartingale m /
ofM2 ,
-c we will denoteby
M> ={M>z,
z z + a con-Sinuous
version of thequadratic
variation of M(see [7]).
This process M> is
increasing.
Let
z= (s, t)
be apoint
of]R2 .
Agrid
over[O,z]
will be a finite sub-set r =
ri
xr2
of[o,z[, ri
r 2 q
Forz’ ~]0,z] . r ,
will be the setiz",Er :
z 11zi
Ifis a
point
of thegrid r , then,.we
will write/1
u 11 33+1
u 11J
andA2 _ u
= with the conventions +1=s
andThe norm of the
grid
is the numberLet
n Zl)
be a sequence ofgrids
over[O~z] .
Ir’ ,
n~I}
is said to be a standard one ifr n+l
is a refi-nement of
r n
and limirn,
= 0.noo
If M is a
martingale
ofMP (p~ 2),
then there existsa
martingale M
of c(see [7])
such that for all z 0 andfor all standard sequence n >
11
ofgrids
over[O,z o ],
The next result about
one-parameter martingales
willbe needed
(cf.
lemma 2.1 of Nualart[7]).
LEMMA 1.1
(Nua1art):
Let M =mt I
t~]R }
bea square
integrable
continuousmartingale
withrespect
to anincreasing
family
of a-fieldst E IR +1 satisfying
the usual condi- tions.Suppose M 0
= 0 . Fixt 0
and denoteby
A =finite
setof points
of[O,t 01 .
Consi-der another finite set
A ,
whosepoints
canalways be
written as
I=I , ... , n ; k=l,...,ri,
in such away that
L
for
Set
where
s n+l =t 0* Theri,
by convention,
we ut2. THE MARTINGALE M*N
THEOREM
4.1:
Let M and N bemartingales
of201320132013201320132013201320132013
0
p > 2. Then
there exists acontinuous martingale
M*N ofsuch that for every standard sequence of
grids
{ rn ,
over[o,z0
if we define themartingales Sn
- 0 as
then
(ii)
For an n , themartingales __
and are in
H~~ ~
R , and_
..-
and lim
S
= M*N in the convergence ofH P/z 1.
thatis,
20132013
so
20132013201320132013201320132013201320132013201320132013201320132013 ’ 201320132013201320132013and
PROOF
Without loss of
generality,
we cansuppose
Mand
Nare zero on the axes.
The
part (i)
of the theorem willbe pr~ved adapting
theproof
of lemma 3.2 of Nualart[ 7 ] . The /part (ii)
forp > ,2
isan obvious consequence of maximal
Doc/b/’s inequality;
for p =2 it isproved using
a modificationof/ that
lemma. We detail the mainsteps
of thisproof.
For
simplicity, zo=(1,1) i$ supposed.
a)
Letp > 2 .
Weconsider
agrid Tn over [0,1 ] 2
and we de-note its
points by u=(s.,t.),
Ij=l,...,q n I
J n n
0=s1s2...sp 0=t1t2...tqn 1 (we put (s qn +1)=(1,1)).
By r
we willindicate
agrid
over[ 0,1 ] 2
such that has thesame projection
on the "t" axesas pn
Thepoints
oflrn
will bedenoted by
iI ’ =I , ... , p ’ , j=l-, ...,q n’
j n n
Let I . 1 th6
set ti-
- 0., E 1 1 1+ 1 defineThen
.1
In
fact,
this convergence would follow the sameargument
usedin the
proof
of(3.6)
in[7].
Similarly,
we denoteby 2rn
agrid
over[0,1]2
which contains
r n
and has the sameprojection
on the "s"axes. The
points
of2rn
will be writtenby
, and let J. be the set 1
. We define
By symmetry
we obtainBy
theconjunction
of(2.3)
and(2.4)
we obtain(i). By
Cairoli-Doob’sinequality,
there exists a continuous version of M*N . Thepart (ii)
is an immediate consequence of the ma-ximal Doob’s
inequality.
Ib)
Letp=2.
With the same notation asabove,
This can be shown as
(3.8)
of[7].
By symmetry
(2.5)
and(2.6) imply (i).
Thecontinuity
ofM*N
isproved
like[7].
It remains to show(ii)
forp=2.
We claimthat
In
fact,
where and
N(A2u’)
u does notdepend
on s. For all
i,
J
J -Vj
is a
martingale
in s withrespect
tos :-5 11 .
Ifi ~ ii,
these
martingales
areorthogonal. Indeed,
let"
0=~~~~~~~1.
be apartition
of[0,1]
which is a refi-’°
0=s.s~...s ~n 1. Then,
if
i = i’ , for
allt . ,
T . , ,t . , T iI ,
because one of theJ J J J .
two factors is
always
zero.Then,
By
Davisinequality,
be a finite
partition
of .By
Fatou’sinequality,
where
;
is a finite
partition
of[0,1] which
is a refi-nement of {s1,...,sp+1}. Let {fik, i=1,...,pn,k=1,...,ri}
a
family
of Rademacher functions over[0,1] . By
Khintchine and Davisinequalities
To bound the first factor of
(2.8),
let beJ J
a
family
of Rademacher functions over[0,1] . By
Khintchineinequality,
By
maximal Doob’sinequality,
we can bound the second factor of(2.8):
where
By (2.5)
and(2.8)
we haveIn
fact,
for n,m, leti
be agrid
over[ 0,1 ~
which hasthe same
projection
on the "t" axes asrn ,
and on the "s"axes as
rm .
We defineThen,
and taken
(2.9)
holds.Finally,
the convergence in(2.9)
is the convergence inH1,
and since thespace H1
iscomplete,
there exists a mar.tingale
such thatREMARKS
1)
Theoperation
* is notcommutative,
but it is dis- tributive withrespect
to the sum either from therigth
or fromthe left.
This last remark allows to
compute
M when M is asum of factors.
Specifically,
COROLLARY 2.2: - Let
M1,...,M
1’ n .L.L bemartingales
ofMP(z ),
=c 0p >_ 2 .
Then3. AN EXAMPLE: THE FILTRATION PRODUCT OF FILTRATIONS GENERATED BY MULTI-DIMENSIONAL BROWNIAN MOTIONS
On the
complete probability
space(Q, F, P)
we considertwo
independent
multi-dimensional brownian motionsWe will denote
by
-SS E:IR+}
+ tf-
+ thecompleted
filtrationsgenerated by
W and Wrespectively.
Set
(We might
supposeWe define the
product
filtrationby
. It is known that this filtration is
right-conti-
nuous and satisfies
(F4).
We define the
bi-brownian
processby
Let be the set of
equivalence
classes of measu-rable processes
adapted
toF1
andsuch that E
IS
0g2(x)dx
00, for all s .Similarly,
we defineWe will denote
by
the set ofequivalen-
2 + +
ce classes of measurable processes
adapted
to z and such that
z + for all z.
The results of Brossard-Chevalier
([11)
are extendedwithout
difficulty
to themulti-dimensional
case and we obtainPROPOSITION 3 .1: Let M = z =Z
Z E]R2 I
+ be _._.a squa- reintegrable martingale.
Then there existsunique
functionssuch that
and
N
by
means of theIto formula
we cancompute [3])
andby
means of the multi-dimensionalversion,
we cancompute M1M2
Exactly,
REMARK: The
computation
ofM1*M2 cannot
be reachedby
means of
Ito formula,
because thismartingale
does not appear inth’is
formula. Theexpression
of can be deduced cal-culating
the limitof (2.1).
In order to obtain theexplicit
formula for
we heed
the convergence inMl given by (2.2).
The result is
We introduce some notation. We restrict our
study
to themartingales vanishing
on the axes: If M is aL 2-martingale,
zero on the axes, with
representation
we
def ine
A Fubini theorem for bi-brownian stochastic
integrals
allowsus to write
The
expression of M1
andWM2
and thecorollary
2.2give:
PROPOSITION 3.2: Let M be a
L2-martingale,
zero on theaxes. With the
preceding notations,
4. THE
QUADRATIC
VARIATION OF M*NSome definitions are
required:
A stochastic processadapted
toI
ZE ]R 2
andintegrable
isz + =z +
said to be a
1-martingale
if for any fixed t,the-process
Im st ,
F is amartingale. Similarly,
we define2-martingales.
Because of(F4),
we have that M is a martin-gale
if andonly
if it is a 1 and2-martingale.
For aL2
1-martingale,
we denoteby
the procesM L > S ~
thatis,
the
quadratic
variation of the oneparameter martingale
{Mst, sER+}.
Let M be a
1-martingale.
M is said to have1-orthogo-
nal increments if for any
couple
ofdisjoints rectangles
]zI,zi]
and we havewhere
Similarly
we define2-martingales with 2-orthogonals
in-crements. A
martingale
is said to haveorthogonal
incrementsif it has 1 and
2-orthogonal
increments.If M is a
i-martingale
withi-orthogonal increments,
then the process is
increasing, i=1,2 (see [6]).
LEMMA 4.11 : Let M and N be two
martingales
ofM 4(z
C Ozero on the axes, and let r
a grid
over[0,zo].
We consi-der the
martingale
Then
PROOF
We consider two
points
of andthen
and
By considering
differents cases it canbe proved
thatz.
We denote
by AZ
the processhas the
following properties:
a)
A isincreasing: Just-as--be-fore,
b)
A is continuous andadapted. So,
it ispredic-
table.
c) S2 -
A is a weakmartingale.
That means, wehave to show that
In
f act,
The second term is zero: If
u, u’ u= ( u , u ) ,
,
then,
We
similarly
calcule theother posibilities
for u and u’ .For the first
term,
we suppose.(the
othercases are
equally computed). Using
the conditionalindependen-
ce we obtain
By‘the unicity
of thequadratic
variation ofS ,
we obtain S > = A MLEMMA 4.2: Let
IMn ,
n 211
bea sequence
ofmartinga-
les of
M2(z)
such that20132013201320132013
c 0 2013201320132013201320132013
Then
PROOF
By
the Kunita-Watanabeinequality
we haveThen, by
the Burkholderinequalities
for the continuous two-parameter martingales (see [9])and by
Cairoli-Doobinequality,
THEOREM 4.3: Let M and N be two
martingales
ofzero on the axes. For any standard sequence of
grids
n Z I )
over[0,z ]
we haveand if M has
1-Orthogonal
increments and N has2-orthogo-
nal
increments,
thenwhere ~Y :
]R2
- IR is-~the deterministe corner functionand
PROOF
The first
part
is a consequence of thepreceding
lemmas.,,The
secondpart
holds because the functions’
converge
pointwise
to ~ . Andthen, by
the dominated conver-gence
theorem, they
converge to T in the normREMARK: The
martingale
M*N canalways
be written aswhere this
integral
must be understood as a double stochasticintegral
of a corner function(see [41, [10]).
On the contra-ry, M*N> cannot,
generaly,
beexpressed
as anintegral
with
respect
toM>l
andN>2 ,
because these processesz z
are not
increasing
ingeneral.
ACKNOWLEDGEMENT The autor is very
grateful
toProfessor D.Nualart for his
support
and valuablehelp
inwriting
his doctoralthesis,
from whichthe results shown in this article have been drawn.
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Trav. de les
Corts, 272, A,
11-108014 BARCELONE
Espagne
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