S ÉMINAIRE DE PROBABILITÉS (S TRASBOURG )
N ORIHIKO K AZAMAKI
Krickeberg’s decomposition for local martingales
Séminaire de probabilités (Strasbourg), tome 6 (1972), p. 101-104
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KRICKEBERG’S DECOMPOSITION FOR LOCAL MARTINGALES
by N.KAZAMAKI
SeminaireAny L1-
boundedmartingale
can beuniquely decomposed
into twopositive martingales possessing
some additionalproperty :
this isthe well known
Krickeberg decomposition,
which will be recalled below.In the
present
note we extend this fact to the localmartingale
case,following
the same idea.1. - Let 03A9 be a
set, F
a Borel field of subsets ofQ,
P aprobability
measure defined on We are
given
afamily (Ft)
of Borel sub-fields
of F , increasing
andright
continuous. We may, anddo,
assume that F has beencompleted
withrespect
toP,
and that eachFt
con-tains all sets of measure zero. We assume that the reader knows the usual
definitions,
forexample : stopping times, changes
oftimes, martingales ,
etc(
see[~rJ).
We don’tdistinguish
two processes X and Y such that for a.e. w this isimportant
forthe
understanding
ofuniqueness
statements below.2. -
Allmartingales
considered below are assumed to beright
continuous.Proposition
1.- Amartingale
X=(X ,F )
isL1-bounded
if andonly
if it can be written as the difference of two positive martin ales.
These
martingales X~1~
andX~2~
then can be chosen so as to realize theequality
(1)
sup +t
(t
0 0This
decomposition
then isunique.
Proof.
The "if"part
is clear. To prove the"only
if"part,
setX(1)t
= limn E[X+n|Ft] ,X(2)t =
limn E[X-n|Ft]The monotone convergence theorem shows that if
st,
we have=X(1), i=1,2.
This is themartingale equality,
and since thefamily
(Ft)
isright
continuous we may assume thatright
continuous modifi- cations of the above processes have Then it is easy to102
see that
X=X(1)-X(2),
and that theequality (1)
holds.If we have another
decomposition
X=Y-Z of X into twopositive
mar-tingales,
then andZ >X(2),
If thisdecomposition
satisfies(1),
we musthave and
and theuniqueness
statement follows from it. It is
interesting
for thesequel
to remarkthat the conclusion is true also if
Y Z
arejust
assumed to be
supermartingales >0 .
3.-
Definition 2. A process is said to be a local martin-gale
if there exists anincreasing
sequence(T )
n ofstopping
timesof
(Ft)
such that limTn =
~ and for each n the processFt )
is amartingale
whichbelongs
to the class(D).
To be
short,
we shall say that astopping
time Treduces
the process X ifbelongs
to the class(D) -
one may then show that it is amartingale -
and we shall call a sequenceTn
as above afundamental
sequence for the localmartingale X,
Now we set sup T
ranging
over the set of all a.s.finite
stopping times.
If the localmartingale
is said tobe bounded in
Z 1 ,
1Theorem
3.
Let X be a localmartingale.
Then~]
n n
for any fundamental sequence
(T ) consisting
of a.s. finitestopping
times. If X is L1-bounded, then X can be written as the difference X’ ’-X’ ’of twopositive local martingale ,
which can be chosen so as torealize the
equality
(2) II
1 =This
decomposition then is
unique.Proof. We have
] ~X ~
1 for all n. Let T be any finitestopping
time. A wellknown submartingale inequality gives
usnow comes from Fatou’s lemma. This proves the first statement.
Assume ao . Then
X~
isintegrable.
The process isa local
martingale ( stopping
preserves the localmartingalenprope rty)
and
belongs
to the class(D),
hence is amartingale
of the class(D),
and we have no need to insert For each n, denote
by
and
X(2’n)
themartingales appearfng
in theKrickeberg decomposition
of
XtAT .
The processes
X(2,n)t~Tn-1 are positive martingales, and
their difference is the
martingale
Therefore we have~(1,n) v(2,n) ~~(2,n-D
and = sup
U.
The processes =} (i=1,2)
aresupermartingales
and increase with n, the- refore their limit still is aright
continuous process(
see[1],
chapter VI,
theorem16) .
Denote this limitby
We also havet lim
~
n t
The processes are
positive supermartingales,
their difference is and we have from Fatou’s lemma - infact,
thismust be an
equality,
since the reverseinequality
is obvious. On the otherhand,
is the limit of theincreasing
sequence of martin-gales as
We now remark thatand, using
monotone convergence, that = Hence this process is a class(D) martingale, T.
reduces which the-refore is a local
martingale.
The existencepart
isproved.
To prove the
uniqueness,
consider anotherdecomposition X==Y~ ’-Y~.
where
Y~.Y~ are positive local martingales,
and =
Note that Y(i)
is a supermartingale , i=1,2. Stopping
at time
T.,
andusing
ourremark
at the end of theproof
ofproposition 1,
wecondition on
expectations implies
Thepositive
supermartingale being equal
to 0 for 1=0 must be identical-ly 0,
and the theorem isproved.
Corollary
1. For any localmartingale
X(03BB>0) , 03BBP{ I
sup|Xt| I >03BB } ~ ~X~1
Corollary
2.If ~X~
isfinite,
thenX
converges a.s. to an inte-grable
random variable asProof. X is the difference of two
positive supermartingales.
Remark that for any normal
change
of time we have=
X~ ,
’i=1,2 .
=t t t104
REFERENCES
[1]. P.A.Meyer, Probabilitès
etPotentiels, Hermann,Paris, 1966 [2]. P.A.Meyer.
Non squareintegrable martingales,
etc.Martingale
theory (
Oberwolfachmeeting )
Lecture Notes inMathematics, vol.190, Springer-Verlag 1970.
Norihiko KAZAMAKI Mathematical Institute