A NNALI DELLA
S CUOLA N ORMALE S UPERIORE DI P ISA Classe di Scienze
O LOF S VENSSON
On generalized Fatou theorems for the square root of the Poisson kernel and in rank one symmetric space
Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 4
esérie, tome 23, n
o3 (1996), p. 467-482
<http://www.numdam.org/item?id=ASNSP_1996_4_23_3_467_0>
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Article numérisé dans le cadre du programme Numérisation de documents anciens mathématiques
http://www.numdam.org/
for the Square Root of the Poisson Kernel and in
RankOne Symmetric Space
OLOF SVENSSON
1. - Introduction
Let
Pt (x)
be the Poisson kernel in thehalfplane
For suitable functions
f
onR,
we define the h-Poissonintegral
aswhere we assume h a 0. The interest in these kernels comes from the fact that
u =
P, f gives
a solution to theeigenvalue problem
Our interest here is to
study boundary
convergence. It is easy to see thatt)
does not(unless X
=1 /2)
converge to 1 when t - 0. Thus if wewant to be able to retrieve the
boundary
values of a h-Poissonintegral
we needto normalize the kernel. For h > 0 let = For h = 0 we cannot do this since
Po
is not inL 1. Instead,
take the function h which is the characteristic function of alarge compact
set, and definePo f (x , t )
=Po f (x, t)/Poh(x, t),
for x in the compact setdefining
h.Let Q be a
region
in with(0, 0)
ES2.
Theproblem
is then to charac-terize the
regions
S2 wheret)
converges tof (xo)
for almost all xo E R whenever(x, t)
tends to(xo, 0)
in 0’0 +(xo, 0).
For the Poisson ker-nel,
the classical Fatou theoremgives
that we havenontangential
limits almosteverywhere.
Pervenuto alla Redazione il 14 aprile 1995.
Nagel
and Stein showed in[5]
that there are convergenceregions
notcontained in any
nontangential region. They
also gave a characterization of theregions
where thecorresponding
maximal function issuitably
bounded. Todescribe their theorem let S2 c
RT+l
1 be an open set and letQ (t)
={x
Ebe the
nontangential
cone.
Finally
letP f
be the Poissonintegral
of a function in andMQP f
=supq
The theorem can then be stated as follows.THEOREM 1.1
(Nagel
andStein). IfQ
CR’+’ satisfies
and
then the operator
f H M~ P f
isof
weak type( 1, 1 ),
and strong type( p, p) for p > 1.
Conversely,
iff + MQP f
is of weaktype (p, p),
for some p 2:1,
then the set satisfies the size condition( 1.1 )
in the theorem.For the ~,-Poisson
integrals
there are also convergenceregions
not containedin the
nontangential region.
For X >0,
the kernelsPx
behave like the Poissonkernel,
and the characterizations in[5]
remain valid. But when X = 0 the kernel behavesdifferently
and we have convergence in theweakly tangential region
this is a result of
Sjogren [7].
HereIn the
sequel
we considerPo.
We prove that there areregions
not containedin any
weakly tangential regions
where the conclusion remains true.The second
generalization
is to a Riemanniansymmetric
space of thenoncompact type
and of rank one. LetP f
be the Poissonintegral
of afunction
f
inLl on
theFurstenberg boundary x/M.
A function u in issaid to be harmonic if Du = 0 for all G-invariant differential
operators
D that annihilate constants. As in thehalfplane,
the Poissonintegrals
are harmonicfunctions.
Again
ourproblem
is to characterize theregions Q
inG/x
wherewe can recover the
boundary values,
i. e.for almost all
kIM,
for some fixed element
Ho
in thepositive Weyl
chamber. This is true forthe admissible
regions .A.F
= Fcompact
inG/K.
Herewe prove that there are convergence
regions
not contained in any admissibleregions.
To proveboundary
convergence, we consider as usual thecorresponding
maximal function. Let
When,
for someS2,
we have a weak type estimate for this maximalfunction,
it followsby
standard methods that(1.2)
holds. And wegive
a necessary and sufficient condition for the weaktype ( 1, 1 )
of the maximal function. A rankone
symmetric
space can also be considered as ahomogeneous
space; this has been studiedby
Sueiro[10]
andby Mair, Philipp
andSingman [4].
Wegive
adifferent
proof
of thisresult,
and we prove a moregeneral
resultsaying that,
under some condition onS2,
the distribution functions of and areequivalent,
with no furtherassumptions
on the functions u thanmeasurability.
Acknowledgement.
This article ispart
of the author’sthesis,
and he wishes to expresse his sinceregratitude
to the advisor Professor PeterSjogren
for hisguidance
andsupport.
2. - The square root of the Poisson kernel
The
Pof integral
was defined ast )
for h the charac- teristic function of some compact set. If we take the kernel of P and let x be in the interior of the compact setdefining h
and do someestimations,
we getAnother way of
defining
the normalized square root of the Poisson kernel in is to take the kernel in the unit disc and make a transformation to thehalfplane.
If we do this we get the same, result for small x and if x islarge
we
get
that the kernel behaves like1 / log
If we use this later method weneed some extra
assumptions
on the functionf
thanjust f E L
1 to be able toprove some weak
type
estimates for thePro
maximal function. We choose thetechnically
easier way, and considerFor a
region S2
C the cross-section atheight t
isTo prove convergence
results,
we as usual consider thecorresponding
maximalfunction for a function u in
R2
where QX is the translation
(x, 0)
+ SZ .In
Nagel
and Stein’s theorem it isrequired
that = Q. If wereplace
the
nontangential
cone here with theweakly tangential region ,Ca,
the condition obtained is satisfiedonly
when Q is the entirehalfplane.
Instead we add the
region ,Ca
to anQ,
and prove that if thisenlarged
set has the same bound on the cross-sectional area as the
region ,Ca,
then themaximal
operator
is of weaktype ( 1, 1 ) .
THEOREM 2.1.
IfQ
Csatisfies
then
As
always
a convergence result follows from this. If S2 is as in the theorem~o f
converges tof
almosteverywhere
within theregion
Theproof
ofTheorem 2.1 follows with the same methods as in Andersson and Carlsson
[ 1 ],
with some minor differences. Instead ofrepeating
theirargument,
we examine whether the conditions aresharp.
The condition(2.1)
is not necessary for(2.2)
as we shall see
below,
but we also show((2.4)
inProposition 2.2)
that thebound cannot be
replaced by anything larger.
Howeverfilling
outthe
region
with,Ca
is not necessary, as we shall see. But it is obvious thatwe need some condition like
this,
since there are manyregions
with cross-section area much smaller than
t log I /t
with the maximal functionunbounded, just
take almost any curve whichapproaches
theboundary tangentially.
Insteadof
adding
theweakly tangential region,
we can use thenontangential
coneCa
={(x, t); Ix I at).
If we now assume thatMn
is of weaktype (l, 1),
wecan prove the
following
estimates.PROPOSITION 2.2.
If
and
The
proof
of these necessary conditions followsby
the same methods asin
[ 11 ],
we do not go into any details here. However, the idea is to choose asuitable
function,
use the weaktype inequality,
and do some estimations of the distributionfunction, just
as in theproof
of Theorem 3.3 below. To prove(2.3),
consider
fc
= · For theproof
of(2.4),
usefc
=We also
give examples
that show that the estimates inProposition
2.2 aresharp.
That(2.4)
cannot beimproved
followsdirectly
from the boundedness of For thesharpness
of(2.3)
we prove inProposition
2.3 below a weaktype
result for an S2 for which
(2.3)
is the bestpossible
estimate of the cross-sectionalarea.
The estimate
(2.4)
shows that if we assume that aregion
is filled out with thenontangential
cone, in the sense that S2 = S2 +Ca,
the condition on the cross-sectional area is necessary. Now we couldhope
that this would also besufficient,
but it is not ingeneral.
The condition that guarantees thatMu
is of weaktype ( 1,1 )
when Q = S2+ C,,,, is
C t . Thesufficiency
followsfrom e.g.
[1]. If IQ(t)1 ~
then it is ingeneral
not true that themaximal
operator
is of weak type( 1,1 ),
as shown in anexample
below. Thismeans that there is no condition
on
which is necessary and sufficient when S2 = QSo if we want a necessary and sufficient condition we must find
something
different. There are no obvious candidates for these
conditions,
if there are any.2.1. - A weak
type
resultHere we prove a weak
type
estimate for an Q that does notsatisfy
thecondition
(2.1)
in Theorem 2.1. Consider thetangential
curve(y(t), t),
forsmall t >
0,
withWe want to define a sequence r in from which we get our S2
by adding
the
nontangential region Ca .
Take a t1 which issufficiently small;
what thismeans will be
explained
below. Let xl =y (tl)
and letwhere
[.]
denotes theinteger part.
Then takeN(tl) points
xk - xl -(k -
1 ) tl log 1 / tl
for k =1,...,
We want thesepoints (Xk, t1)
to be outsidethe
nontangential
coneC2,
hence take a t1 that satisfies XN(t,) >2t,,
which ispossible
if t1 is smallenough.
The firstpoints
in the sequence r will beThen the idea is to repeat this construction. We first have to
choose t2
tl.We want the
point (t2, y (t2))
to be such that(t2, y (t2)) + Ci
does not contain thepreviously
chosenpoints
of the sequence r. And t2 should be smallenough
so that we can
get
an estimate of the cross-sectional area. This will work ifwe take t2 t1
satisfying
As in the
previous
case, takeN (t2) points
xk =y (t2) - (k - 1)t2 10g 1 / t2,
fork =
1,..., N (t2 ) .
The nextN (t2 ) points
in the sequence r are{(~,~2)}.
k =
1,..., N (t2) .
And continue in the same way for t3, ...Let S2 = r +
C1.
This S2 has someproperties
that we need:and
If instead we add the
weakly tangential region ,Ca , then ( S2 -~ ,Ca ) (t ) ~ I / (t log 11 t)
will not be bounded and hence
MQ+£a
cannot be of weaktype ( 1,1 ).
PROPOSITION 2.3.
If 0
is asabove,
thenTo prove this we use a
slightly
modified lemma from[6],
where we havereplaced by
R’.LEMMA 2.4. Assume the operators
Tk,
k =1, 2,
..., aredefined
inRnby
where the
K,
areintegrable
andnon-negative
in and the index setsIk
are such thatTk f
are measurablefor
any measurablef.
Letfor
each i =1,...,
n asequence
(yki)’,
begiven
with yki ? Yk+1,i > 0 and assume theTk
areuniformly
of weak
type(1, 1 ),
andand
where
for
S EIk
for
somefixed
natural number N. Then the operatoris
of weak
type(1, 1 ).
PROOF OF PROPOSITION 2.3. In the
proof
we assume that the functionf
is
positive.
First we divide the kernelKt
into two parts, one that is easy to handle and the centralpart
of the kernel which is thetough part:
Define
K2,
t asif
otherwise.
We can handle the easy part
by realizing
that-~ x’)
whenx’ E
0 (t).
From this we see thatMgK2,t
*f CMCaK2,t
*f. By
the usualmethods,
the weak type( 1,1 )
estimate for thispart
follows.Now we turn to the more difficult
part.
Letrk
be thatpart
of r with second coordinateequal
to tk, i. e.We can
split
the operator asThe
equality
defines theoperator Tk.
To use Lemma2.4,
we need to prove that the operatorsTk
asuniformly
of weaktype ( 1,1 )
and of thetype
in(2.5),
and construct a sequence yk.
For the weak type
( 1,1 ),
we first consider that part ofQk
that lies between thelevels tk
and2tk log 1 / tk,
which isS2k
={ (x, t)
t2tk log
This
part, S2k,
consists ofN(tk) non-tangential
cones with vertices at thepoints
The last
inequality
follows from translation invariance. Ifwe can estimate
by
If we make a
dyadic decomposition
of thiskernel,
weget
The upper limit in the sum does not vary much if t E
[tk, 2tk log lltk],
whichenables us to
replace [log log
hereby
Thisgives
a sumwith a number of terms that does not
depend
on t. Thus we can estimate the maximaloperator by
the usualHardy-Littlewood
maximalfunction,
whichgives
the weak
type ( 1,1 )
for the operatorf uniformly
ink,
if k > 1.The weak
type ( 1,1 )
for 1 followsby
the same method. First take that part ofQ1
1 which lies between the levels t1 andtl log
Here theL 1-norm
of thekernel
Kl,t corresponds
to the number ofnontangential
cones in as above.When t >
tl log Iltl,
theregion S21
is contained in aweakly tangential region,
and the weak
type ( 1,1 )
isproved.
For the rest of
Qk,
i. e. if tk_ 1, thenQk
consist of oneinterval. For the size of
these,
we have theestimate Hence,
the weaktype ( 1,1 )
of theoperator
follows,
since theregion
we take the supremum over is contained in aweakly tangential region.
Thiscompletes
theproof
of the uniform weak type( 1,1 )
of
Tk.
To use Lemma
2.4,
the operator should be defined as in(2.5).
This meansthat we must ’hide’ the translations in the kernel. If we let the index set
Ik
beequal
toQk
and set for s =(x’, t) E Ik,
Then
Tkf(x)
= To estimate thesupport
ofKs
=K(x,t),
we seethat the
support
islargest
when t = which is thelargest t
in the index setIk.
The
support
of 1 is contained in the set tk-1(log 1 / tk _ 1 ) 2 },
hencewe can as bound for the
support
ofKs, S E Ik, take yk
=3 tk - 1 (log Iltk-I)2.
Ifwe take N =
3,
thenE Ik,
if x E suppKs,
since yk+3tk /2.
This follows from the definition of the sequence r. With an x outside the
support
ofKs,
we needonly
increase thesupport
of the kernelKl,t.
HenceFrom this it follows that the
integral
is boundedby
some constantCo,
for alls E
UIk.
Lemma 2.4 nowgives
the weak type( 1,1 )
for SUPKTk,
and hence forMgK1,t.
Finally,
we haveproved
a weaktype
estimate for bothand
which means that we have
proved
theproposition.
02.2. -
Example
Here we will show that in
general
we cannot have more than a constantnumber of distinct
points
at the different levels in S2 when a weak type result holds.By
distinctpoints
we meanpoints
with distance at least~
inQ(t).
Thus,
if Q = then this shows that if is allowed to beunbounded,
then it is easy to construct an
example
which violates these restrictions. Thatis,
we can take an Q with anincreasing
number ofpoints
inQ (t)
which areseparated by
at least and thefollowing
shows thatMQ
cannot be bounded.Now fix a value of t and assume that Q
(t)
contains Npoints
with distance~;
then we show that we have an upper bound on N that does notdepend
on t.To do
this,
we consider the convolution withPo
and the characteristic function and asimple
calculationgives t’)
rv 1when Ix’l s ui
and t’
t. Thus -This is
easily
seen since if0 (t)
contains onepoint
thencontains an interval of
length fi,
as seenabove,
and since there are Npoints
in which are
separated by
at least we get this bound.If
Mo
is of weaktype ( 1,1 ),
weget
If we use these two
inequalities,
weget
NC,
and we haveproved
our claim.3. -
Symmetric
spaceLet X =
G/K
be a Riemanniansymmetric
space of real rank one. Then G is asemisimple
Lie group with finite center, and K a maximalcompact subgroup.
The Liealgebras
of G and are gand t, respectively.
The Cartandecomposition
of gis g
= t (D p,where p
is a linearsubspace
of g. Let a be amaximal abelian
subgroup
of p, and A thecorresponding
connectedsubgroup
of G. The real rank is the dimension of a, here
equal
to one.By
theadjoint representation
ad we arrive at the root spacedecomposition
of the Liealgebra
0 = If X E ga, then ad
(H)X
=a(H)X,
for H E a. The nonzero a’s arecalled
(restricted)
roots. The dimension of the root spaces are ma. Let a+ beone of the
components
of the subset of a where none of the rootsvanishes;
this is thepositive Weyl
chamber. A root a is calledpositive
ifa (H)
ispositive
for all H in a+. Let a and
possibly
2a be thepositive
roots. TheKilling
form
(X, Y) = Tr(ad(X)
oad(Y))
allows us toidentify
the dual of a with a.Let p
=(ma
+2M2,,,,)ot/2
denote half the sum of thepositive
roots.Let n be the sum of the root space 9. The sum over the root spaces
corresponding
to thenegative
roots inn,
which is also theimage
of n under theCartan
involution
0. The connectedsubgroups
of G associated with n and n,are N and
N, respectively. Any n
E N can be written as n =exp(Xi ) exp(X2), Xi E
Qia. ForN
there is a similarexpression,
where theproduct
is taken overthe
negative
roots.The Iwasawa
decomposition
is G = KAN. This means that any g E G canbe
uniquely
written as g =k(g) exp (H (g)) n (g) ,
withk(g)
E K,H(g)
E a andn(g)
E N. From the Iwasawa weobtain
the NA model of thesymmetric
space.For this
decomposition
thegroup
Ncorresponds
to theFurstenberg boundary K/M.
Thisdecomposition, NA,
is thedescription
of thesymmetric
space wewill work with. Let S2 be a subset of NA and
0 (H)
the cross-section atheight
H : -We fix an
Ho
in thepositive Weyl
chamber a+, such thata (Ho) -
1.The conjugate nH
isexp(H)n exp(-H).
Choose ahomogeneous gauge Inl
in NHere ~ = (- (X, 0 X))
112 for any XE g is
the normcoming
from theKilling form,
and c =(ma + 4m ~ ) -1 /4.
The reason for this c will be clear after wehave defined the Poisson kernel. We
have
for someC > 1,
and= e-tlnl.
The admissibleregion
can be describedby
When
F = 1 we often omit the index F. The ball centered at theorigin
inN of radius r is
Br
=n ~ r},
and the ball centered at n isnBr.
Themeasure of the ball
Br
isproportional
tor~,
where D = ma +2m2a
is thehomogeneous
dimension of N. LetQr
= EBr,
tThe maximal function
MQ
is defined for functions u in N Aby
In a rank one
symmetric
space, we have anexplicit
form for the Poissonkernel,
see e.g. Theorem 3.8 page 414 in
[3].
If n =exp(Xi)exp(X2),
whereXi
E fI-iathen ~
The last two terms in the denominator sum up
to n ~ 4,
which is the reason forthe constant in the definition of the
homogeneous
gauge. The Poissonintegral
of a function
f
inL 1 on
theboundary
N is thenFour u =
P f ,
we know that the admissible maximal operatorf
1-* isof weak
type ( l,1 ),
this result can be found in[9].
As before we want to prove boundedness inregions
not contained in any admissible ones. The conditions wehad in the
previous
cases were one condition on the cross-sectional area of theregions,
and oneexpressing
that theregions
should in some sense contain the classicalregions,
in this case the admissibleregion.
To describe this in moredetail,
we first define aregion AF(no, to)
which is similarto an
admissibleregion, expect
that it has the vertex at apoint
in X instead of N:Now we can define what we mean
by adding
an admissibleregion
to S2. LetIf we do this for the admissible A then the result A + A is
possibly
notcontained in A. This comes from the failure of the
triangle inequality.
Butsince we have chosen a
homogeneous
gauge, even if we continue this process, the result will still be contained in a fixed admissibleregion
notdepending
on how many times we have ’added’ the
region.
A similar result holds forarbitrary regions
Q:LEMMA 3.1.
If Q
c X then there exists aregion Q
such that Q C Q +AF
and
~2
+ A = The constant F isindependent
We prove this lemma at the end of this section. This shows that it is reasonable to assume that the
region Q
satisfies Q + A = Q. We shall also seethat this is also
natural,
at least for the Poisson maximal function.THEOREM 3.2.
If Q
c Xsatisfies
and
then
and
The LP estimate
(3.5)
followsimmediately
from(3.4).
The condition of the cross-sectional area(3.3)
is what we wouldget
if we let S2 be the admissibleregion
The condition
(3.2)
alsoimplies
that for some C(this
is what we use inthe
proof)
then
If we take u =
P f
then weget
thefollowing
characterization of theregion
Q where
f f--~ MS2 Pf
is of weaktype ( 1,1 )
orstrong
type(p, p),
for somep > 1.
THEOREM 3.3.
If
X is asymmetric
spaceof
rank one and Q C X then thefollowing
areequivalent
__ _
The
sufficiency
of(iv)
for the weaktype ( 1,1 )
andstrong type (p, p)
ofthe maximal
operator
follows from Theorem 3.2 and the knownproperties
ofMAF Pf .
Asusual,
it follows from(i)
thatP f (n exp(tHo))
converges tof (n 1 )
for almost all n, 1 as t --* oo when
n exp (t Ho )
En 1 SZ .
Before we can prove Theorem3.2,
we need some lemmas. First acovering
lemma.LEMMA 3.4. For
every family of rectangles
in N,with U I
00,there is a
subfamily of disjoint rectangles
such that eachrectangle n Re-r
in the
given family
is contained in anenlargement of some rectangle
in thesubfamily,
i. e.for
some C oo thatdepends only
on X.The
proof
of this follow the usualmethods,
which can be found in[2].
Since we will follow the ideas from Andersson and Carlsson
[1]
we needan outer measure that satisfies a Carleson type
inequality.
For measurable sets E CX,
define the outer measure psz aslin;
nQ nE # 0}1.
LEMMA 3.5.
If Q
is as in thetheorem,
thenWe will assume this for a moment and
begin
with theproof
of the theorem.PROOF oF THEOREM 3.2. Let
Ex
=I
>h)
which is a subset of X. It iseasy to see
that > À}I
=J-LQ(EÀ).
The setEx
is contained in where the union is taken over allpoints _n exp(t Ho)
EE~, .
Thefamily
has a
corresponding family
in N, andby
use of Lemma 3.4 we canchoose a
disjoint subfamily
To use Lemma3.4,
it isrequired
thatI I
oo, we canclearly
assumethis,
since otherwise is >h) =
oo, and in this case there isnothing
to prove. We alsoget
asubfamily
From 3.7 we see that
Hence
PROOF OF LEMMA 3.5. The first
inequality
below comes from the fact that if n E then t’ timplies n
ES2 (t’Ho)
and the secondinequality
uses
(3.6).
We havePROOF OF THEOREM 3.3. The theorem follows if we prove that
(i), (ii)
and
(iii) implies (iv).
To do this we assume thatf
HMQP f
is of weaktype (p, p),
for some p > 1. From this we deduce that theregion S2
satisfiesCe-tD .
From this the result follows since the otherimplications
follows
directly
from Theorem 3.2.Since S2
c Q + it suffices to show the estimate of the cross-sectional area for Q +AF.
We can also forsimplicity
assume that F = 1. Choose For the L p norm of
f
we haveThe Poisson kernel can be estimated
by
If we use this to estimate the Poisson
integral
off,
weget
if n
1 exp(tl Ho)
EQe-t .
From this we see thatIt is obvious that
So if we can prove that
it will follow
that CE-ID
if we combine these estimates. In theright-hand
side of(3.10)
there is a constant that does not appear in(3.8),
this can be taken care of if we
change f
toXBCe-t
*To prove
(3.10)
take some n E1}.
Then there is apoint
n
1 exp(tl Ho)
E that n1 exp(tl Ho) E Qe-t
meansthat
e-tand t1 > t. Since n
1 exp (tl Ho )
En(Q
-~,~4.)
there arepoints
n 2exp (t2 Ho )
E n Qand
n’ exp(tl Ho)
EA(n2, t2)
such thatHence we see that n =
n2n’
or n’ =n21 n
1 and with the estimate of n’ we seethat
It follows that
n 2 exp (t2 Ho )
EQCe-t,
hence n E and we haveproved (3.10).
Withthis,
Theorem 3.3 follows if we combine(3.9), (3.8)
and(3.10).
0PROOF OF LEMMA 3.1. Let
S2k-1
+ ,,4 andQo =
S2. Theregion 1i
is defined
as S2
=U.
It is obviousthat S2
+ A =S2,
and to prove thatSZ
c Q + if suffices to prove thatQk
C S2 + for some Findependent
of k. Take a
point n exp(tHo)
inQk.
SinceS2k
=S2k-1 -E- ,,4.,
we can write thepoint n exp (t Ho )
aswhere
n’exp(t’HO) E
1and
We seethat tk
= t. If we repeatthis,
we get thatThis is for 1 i
k,
andn 1 exp(tl Ho) E
Q. From this we shall prove anestimate
for I
that shows thatQk
is contained in with Findependent
of k. To see
this,
we use theCampbell-Hausdorff
formula to see what canhappen when
wemultiply points
in N.Let n
=exp(Xi) exp(Yi),
whereX
i EWe can
easily
see that n2n3induction we
get
From
(3.11)
and the definition of thehomogeneous
gauge, we getIf we now use these estimates in
(3.12),
we see that we get an upper boundon
I
which does notdepend
on k. This concludes theproof
ofLemma 3.1. 0
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Department of Mathematics
University of Lulea
S971 87 Luled, Sweden E-mail:dofs @ sm.luth.se