A NNALES DE L ’I. H. P., SECTION B
N AOMASA U EKI
Asymptotic expansion of stochastic oscillatory integrals with rotation invariance
Annales de l’I. H. P., section B, tome 35, n
o4 (1999), p. 417-457
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417
Asymptotic expansion of stochastic oscillatory integrals with rotation invariance
Naomasa
UEKI1
Department of Mathematics, Faculty of Science, Himeji Institute of Technology,
Shosha 2167, Himeji 671-2201, Japan
Manuscript received on 19th March 1997, revised 17th December 1998 Vol. 35, n° 4, 1999, p. -457. Probabilités et Statistiques
ABSTRACT. -
Asymptotics
ofoscillatory integrals
on the classical2-dimensional Wiener space, whose
phase
functional is the stochastic lineintegral
of a1-form,
is considered. Under theassumption
that the exteriorderivative of the 1-form is rotation
invariant,
anasymptotic expansion
isobtained. This result is extended to the process associated to a
general
rotation invariant metric. @
Elsevier,
ParisKey words: Wiener integrals, Asymptotic expansions, Oscillatory integrals, Diffusion
processes
RESUME. - Nous etudions le
comportement asymptotique d’intégrales
oscillantes sur
l’espace
de Wienerclassique
en dimension2, lorsque
laphase
estl’intégrale stochastique
d’ une 1-forme. Sousl’hypothèse
que la derivee exterieure de la 1-forme est invariante parrotation,
nous obtenonsce
developpement asymptotique.
Nous etendons ce resultat a la diffusion associee a unemetrique
invariante par rotation. @Elsevier,
Paris1 Present address: Graduate School of Human and Environmental Studies, Kyoto
University,
Kyoto 606-8501, Japan. E-mail: ueki@math.h.kyoto-u.ac.jp.Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques - 0246-0203
1. INTRODUCTION
Let
(W, P)
be the 2-dimensional Wiener space: W ={w
EC([0, oo)
-Jae2): w(0)
=0~
and P is the Wiener measure on W. Let b be aC1
dif- ferential 1-form onR2 satisfying
thefollowing
rotation invariance condi- tion :In this paper we
investigate
theasymptotic
behavior ofand
as ~
- oo, where i =I
ando d w (t)
is the Stratonovitch stochasticintegral.
Under some conditions on the functionf
in( 1.1 )
and theamplitude
functional a, wegive
anasymptotic expansion
asr ~ ,
and a similar
expansion
forT(~; a).
Moreover we extend these results to the case, where the Wiener process w isreplaced by
the process associated to ageneral
rotation invariant metric and the 1-form b maydegenerate finitely
at theorigin.
The
integrals ( 1.2)
and( 1.3)
are called stochasticoscillatory integrals.
These
integrals
appear, forexample,
in thestudy
of theSchrodinger
operator
with amagnetic
field and the 2-form d b in( 1.1 ) corresponds
tothe
magnetic
field(cf. [21]).
For theseintegrals
theasymptotic
behavioris estimated from above in more
general setting [3,4,12-14,29].
For theexact
leading
term, Ikeda-Manabe studied thefollowing
two cases: oneis the case where the
phase
functional is aquadratic functional,
and theother is the above rotation invariant case
[9].
For thequadratic
case, wehave a
general
exact formula and many related results are obtained. For thisaspect,
see[7,9,14,23,24,26,27]
and references therein.However,
asAnnales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
opposed
to finite-dimensionaloscillatory integrals,
it is difficult to obtainthe
asymptotic
behavior for moregeneral phase
functionals from these results. On the otherhand,
the rotation invariant case is thesimplest nonquadratic
case for which theasymptotic
behavior can beinvestigated
in detail. In this paper we will extend the results in
[9]
on the rotation invariant case. As for theasymptotic expansion,
Ben Arous gave for a functioncorresponding
to(1.3),
wherew (s )
isreplaced by w (s ) / ~
inmore
general setting
without rotation invariance conditions[ 1 ] .
Under the rotation invariance condition
( 1.1 ), by taking
theexpectation
in the
spherical direction,
ourproblem
is reduced to that onLaplace type asymptotic
behavior. Forexample, /(~; 1 )
is written aswhere
o
For more
general
cases, see Lemmas 2.1 and 3.1 below.By
theFeynman-
Kac formula the
right
hand side is related to theintegral
kernel ofthe heat
semigroup
of theSchrodinger operator - A ~- ~ 2 F2.
Then theproblem
on theasymptotic
behaviorcorresponds
to aproblem
on thesemiclassical
approximation.
We now use thetechnique
of Simon[22]
for the
asymptotic expansion
of theeigenvalues
andeigenfunctions
inthe semiclassical limit. For this
Laplace type asymptotic behavior,
moregeneral
results are obtained for the case wherew (s)
isreplaced by w (s) /~ .
For theseresults,
see[2]
and references therein.The aim of Ikeda-Manabe
[9]
was to show an infinite dimensionalanalogue
of theprinciple
of thestationary phase,
in thesetting
ofWiener functional
integrals.
Infact,
we canformally regard
our resultsas
examples
of thisprinciple.
For thisaspect,
see Remark3.2 (i)
below.For a
general
rotation invariant metricin terms of the
polar
coordinate(~0), r ~ 0, 8
ES 1,
we reduce theproblem
to that on the radial process and usetechniques
of thetheory
ofthe 1-dimensional diffusion processes and
ordinary
differentialequations.
Since the
asymptotic
behavior of ouroscillatory integrals
are determinedby
the behavior of the metricg(r)
and the 1-form b at theboundary
r =
0,
we needprecise analysis
at thisboundary.
Under the condition thatlimr-*o g (r) j rei
= 1 for some 03B1 ~?,
r = 0 is an entranceboundary point
for the radial process if1,
aregular boundary point
if a E( -1, 1 ) ,
and an exitboundary point if a -1,
in the sense of Feller[5].
Accordingly
we pose the Neumannboundary
condition at r = 0 fora ~ 20141
and the Dirichletboundary
conditionfor a
1. If we moreoverassume that = 1 +
o (r 2 )
asr t 0,
then thegenerator
isregarded
as a
simple perturbation
of that for the caseg (r)
= rC1. Then we use theexplicit representation
of the transitiondensity
of the Bessel process with index a + 1 forc~ ~ 20141
and thecorresponding representation
for theDirichlet case
with 03B1
1(see
Lemma 5.1below).
When this condition is notsatisfied,
the existence of the function such asI (~; a)
in(1.3)
isnot trivial.
However, by
a work of Hille[6] (see
also Matsumoto[15])
onthe
continuity
of the transitiondensity
at theboundary,
we obtain asharp
result for the case of the Neumann condition
with 2014la3,
whichcorresponds
to the limit circle case(see
Theorem 6below).
The
organization
of this paper is as follows: In Section2,
we treata fundamental case for the function
/(~;~)
in(1.2)
with asimple amplitude
functional a. In Section3,
we consider moregeneral amplitude
functionals a for both functions
/(~;2)
andT(~;~).
In thissection,
we also
give
a fundamental remark for ourproblem (see
Remark 3.2below).
In Sections 4 and5,
we consider the case of ageneral
rotationinvariant metric. Section 4 is devoted to the case of Neumann condition and Section 5 is devoted to the case of Dirichlet condition.
2. A FUNDAMENTAL CASE
On
R2
with the standardmetric,
we take aC
1 differential 1-form bsatisfying
thefollowing
condition:(v) f
is smooth on the open interval(0, oo)
and each deriva- tive off
is dominatedby
apolynomial.
We take a functional a on the Wiener space W. For this
functional,
we introduce thefollowing
conditions:Annales de l’Institut Henri Poincaré - Probabilités et Statistiques
(A.2) a(w)
=A(r(t1), r(t2),
...,r(tK)),
wherer(.)
= 0 tlt2 ... tK 1 and A is a smooth function on
[0, oo) x
whosederivatives are dominated
by polynomials.
Let pi
# /~2 ~ " ’
be theeigenvalues
of the harmonic oscillatoron
L2(R2),
03C60, 03C61, 03C62, ... be thecorresponding
normalizedeigenfunc- tions,
andP 1-
be theorthogonal projection
to theorthogonal comple-
ment to the
ground
states, where A= E~=i~/9(~~-
In this case,J1-o =
f (0) /2
and CPo can be taken asWe denote the norm of
L 2 (II~2 ) by (( . II and
the innerproduct by (. , . ) .
For the function
7(~), ~
ER,
defined in(1.2),
we prove thefollowing
in this section:THEOREM 1. - Under the conditions
(A.l)-(A.2),
we have thefollowing asymptotic expansion as 03BE
- ~:in the sense that
for
anyN > l,
where,. ""
and
In,
n EN,
arefinite
linear combinationsof {(8~A)(0):
a E7G+}
whose
coefficients
arepolynomials of
.
We first show the
following:
LEMMA 2.1. -
where .
Proof. - By
the stochastic version of Stokes’ theorem(cf. [8,25]),
wehave
where
and
S (t )
isLevy’s
stochastic area definedby
As is
explained
in Section VI-6 of[ 10],
the stochastic area isrepresented
as
Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
where
B(.)
is a 1-dimensional Brownian motionindependent
of theprocess
{r(~)}. By taking
theexpectation
in the Brownian motionB(.) ,
we have
By using
thescaling property
of the Brownian motionwe obtain
(2.1 ).
DWe introduce an
operator
where
F(~)
is the function defined in Lemma 2.1. Thisoperator
isessentially
selfadjoint
onby
Theorem X.28 in[18].
Wedenote the self
adjoint
extensionby
the samesymbol.
Theintegral
kernel>
0, x , x’
ER2
of the heatsemigroup e-tH(03BE),
whichwe call the heat kernel of
H (~ )
in thefollowing,
has thefollowing representation:
(cf. [21 ]
Theorem6.2).
Thus(2.4)
is rewritten as follows:On the other
hand, by
the condition(A. 1) (iv),
theoperator H (~ )
haspurely
discretespectrum (cf. [19]
TheoremXIII.67).
We denote theeigenvalues by /~o(~) ~ ,c,c 1 (~ ) C /~2(~) ~
... and thecorresponding
normalized
eigenfunctions by ~o(~~)~i(~~).~2(~~)..’..
Since theheat
semigroup generated by 77 (~)
ispositivity improving,
wesee that 1
(ç)
and we can take as apositive
function(see [19]
TheoremXIII.44). By
Mercer’sexpansion theorem,
the heatkernel
y)
isrepresented
as thefollowing convergent
series:For the
asymptotic
behavioras ç
~ oo, we follow theargument
of Simon[22].
We first show thefollowing:
PROPOSITION 2.1. - For
each n > 0, /~(~) =
Proof. -
For the upperbound,
we use theRayleigh-Ritz principle:
Since each is a
polynomial
times a Gaussianfunction,
weeasily
seethat
Therefore we have
We next show the lower bound. We take smooth functions
{h, k}
onR2
so thath2 + k2 ~ 1, supp h
c{Ixl ( 2}
andsupp k
C(
>1 }.
Forany ç
>0,
we set = andk~(x)
=k(x/~~~1°). By
theIsmagilov-Morgan-Sigal-Simon
localization([22]
Lemma3.1),
we havefor some
Ci
> 0 and any 03C6 ~ C~0(R2). For the first term, weeasily
seethat
Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
For the second term, we estimate as follows:
By
the conditions(A.1) (ii)-(iv),
we can estimate asfor some
C3
> 0.We now take JL E and set G =
h~ (H -
whereis the
orthogonal projection
onto theeigenspace
of Hcorrespond- ing
to theeigenvalues
lessthan p
andh~
isregarded
as amultiplication
operator. Then, by
the aboveestimates,
we havefor
large enough ~.
Since the rank of G is at most n, we haveby
the min-maxprinciple.
From this we obtainMoreover, by
the sameprocedure
as in Simon[22],
we have thefollowing:
PROPOSITION 2.2. -
(i) As ç
- oo, we havewhere
E.r,o,
are thoseof
Theorem 1.(ii) As 03BE
- ~, we have4-1999.
where n E
N,
are continuousfunctions
such that EL2 for
any0,
in thefollowing
sense:for
any compact set K inIIBz,
andfor any m
0.Proof. -
Theproof
of(i)
and(2.8)
with m = 0 is identical to that ofSimon
[22]
Theorem 4.1. The rest is also provenby modifying slightly
the
proof
of Simon[22]
Theorem 4.1. Infact,
if we write asthen
~po
are linear combinations ofm ,
k(l), k (2) , ... , k (m )
EZ+
and is also somepolynomial
of thefunctions dominated
by
functions of thistype
andwhere
V (r, ~)
=F(r, ç)2 - ( f (0)r/2)2
and e > 0 is taken smallenough.
Then to prove
(2.8),
as in theproof
of Theorem 4.1 of[22],
it isenough
toshow the
subsequent
Lemma 2.2. To prove(2.7), by
the Sobolevlemma,
it is
enough
to show thatAnnales de l’Institut Henri Poincaré - Probabilités et Statistiques
for
any ç
E This is provenby
thesubsequent
Lemmas 2.2and 2.3. D
LEMMA 2.2
(Lemma
4.2 of[22]). -
For eachfixed
m EZ+,
we haveand
is the
operator
norm and £ > 0 is taken smallenough.
LEMMA 2.3. - For
any ~
E we haveand
Proof of
Theorem 1. - Wedecompose
aswhere
and
IR(~; a)
= I(~; a) - Io () ; a). lo(~; a)
isexpanded by Proposition
2.2and
7~ (~; a)
isnegligible by
thesubsequent
Lemma 2.4. D LEMMA 2.4. -Proof. -
Since A is ofpolynomial growth,
it isenough
to show thatfor any m
EWe take 8 > 0 small
enough. By using (2.5)
and Schwarz’sinequality
weestimate as follows:
and
Moreover we use the
following:
foreach k G N,
and there are C > 0 and N E N such that
(2.11 )
is deduced fromProposition
2.2 and(2.12)
can be shown asfollows:
by using
theFeynman-Kac formula,
Jensen’sinequality,
theAnnales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
translation invariance of the
Lebesgue
measure and theassumption (A.I)
(iv),
we estimate as follows: .for some N > 0.
Now we can show
(2.9) by using
Schwarz’sinequality
and theseestimates in the
right
hand side of(2.10).
03. OTHER AMPLITUDES
In this section we consider more
general amplitude
functionals. We firstgive
a fundamental theorem for the functionT(~; ~), ~
ER,
definedin
( 1.3).
For this we introduce thefollowing
conditions:(A.3) b(O)
=0,
b issmooth,
and each derivative of b is dominatedby
a
polynomial.
(A.4) a(w) = A(r(~ r(~),..., ~))C(~(1)),
whereA(r(tl), r(t2),
...,
r (tK ))
is same as in(A.2)
and C is a smooth functionon R2
whose derivatives are dominatedby polynomials.
Then we have the
following:
THEOREM 2. - Under the conditions
(A.1), (A.3)
and(A.4),
we havethe
following asymptotic expansion as 03BE
- ~:in the same sense as in Theorem
l,
where po, are same as inTheorem
1, Z~o
= +tE2
is the2 x 2
identity
matrix andIn,
n EN,
arefinite
linear combinationsof {(8aA)(0)
x a E E7G+}
whosecoefficients
arepolynomials of
Remark 3.1. - Under the condition
(A.3), f’(o) _
= 0.To consider more
general amplitude functionals,
we introduce thefollowing
conditions:(A.5)
> 0.(A.6) a
=A(r(~))
EL1
=0)), A(r(-))
=A(~)
and
!A(0)!
oo, whereI I 2
is the norm on theL2
space on the intervalfO, 11.
C is
C and C, VC
are bounded.Then we have the
following:
THEOREM 3. - Under the conditions
(A.1 ), (A.5)
and(A.6),
we haveas 03BE
- ~, where po, andIo
aregiven
in Theorem 1.THEOREM 4. - Under the conditions
(A.1), (A.3), (A.5)
and(A.7),
we have .
as 03BE
- ~, where po,20, Io
aregiven
in Theorem 2.Moreover,
we introduce thefollowing
condition:(A. 8)
a =A (r (.)) , A > 0,
sup A 00 andThen,
for the function I(~; a),
we have thefollowing:
.THEOREM 5. - Under the conditions
(A.1 )
and(A.8),
we haveAnnales de l’Institut Henri Poincaré - Probabilités et Statistiques
We here
give general
remarks:Remark 3.2. -
(i)
As isexplained
in Ikeda-Manabe[9],
our results areregarded formally
as an infinite-dimensionalexample
of theprinciple
ofthe
stationary phase.
We here discuss thisaspect.
We assumeb(0)
= 0.On the Cameron-Martin
subspace
H ofW,
we consider a functional definedby
This functional is sometimes called the skeleton of our
phase
functional. _For k E H such that
k(l)
=0,
the derivative in the direction k isTherefore, h
= 0 is theonly stationary point.
The Hessian at h - 0 isfor
h, k
E H. Anotherexpression
of this iswhere B is a linear map on H determined
by
This
operator
B is one to one. Thus ~ == 0 satisfies the condition of thenondegenerate stationary point except
that theoperator
B may not be onto(cf. [17]).
On the otherhand,
our results state that theasymptotic
behavior of the
oscillatory integrals 1 (~; a)
andI() ; a) as ~
- 00 aredetermined
mainly by
the behavior of the functionals and a at thepoint
/r= 0 on H. Moreprecisely,
if we assume b is smooth at 0 andput [32(W)
= and12(ç)
=( w ( 1 )
=0],
then wehave
The
right
hand side becomes 1 if wereplace 12(ç) by
where
The skeleton of
fJ2(W)
and are the lst and 2ndapproximating
functionals
appearing
in theTaylor expansion
of around the criticalpoint h
=0, respectively.
(ii)
In Ikeda-Manabe[9],
Theorem 3 is obtained in the case thatf (r)
= for some,B
> 0 and a isrepresented
aswhere A is a bounded
uniformly
continuous function and~1,~2....,~
are smooth functions on the interval
[0.1].
(iii)
The estimate in[28]
asserts thatfor the
present
situation. Sinceinf,. >o f (r)
may be less thanf(0),
theresult in this paper is an
example
that(3.1)
is not bestpossible.
Theorem 2 is proven as in the last section
by using
thefollowing:
LEMMA 3.1. -
Annales de l’Institut Henri Poincare - Probabilites et Statistiques
The
following proof
isessentially
that of Theorem 3.1 of[9]:
Proof of
Theorem 3. -Taking
K > 0large,
wedecompose
theright
hand side of
(2.4)
aswhere
and
By
the conditions(A.I) (ii), (iii)
and(A.5),
there existsC1
> 0 such thatThen, by
Holder’sinequality,
we haveThis is
negligible
if K is takenlarge enough.
For any 8 >
0, by
the condition(A.6),
there exists~E
> 0 such that!A(r(.)) - A(0)!
s if~~r(~)Ilz ~
Therefore we haveBy
allthese,
we cancomplete
theproof.
0The
proof
of Theorem 4 is almost identical with that of Theorem 3.Proof of
Theorem 5. - Forlarge enough ~
>0,
we have- ~
u ’ J
where C =
inf{A(r(.)): sup[0,1] r (t ) R } .
From this we have the lowerbound. 0
Remark 3.3. -
(i)
In thisproof
of Theorem5,
it is essential that theintegrand
ofI (ç; a)
is realnonnegative.
Such anexpression
is notobtained for
T(~; a) (cf.
Lemma3.1 ).
(ii) By using
Hörder’sinequality,
the condition(A.8)
is weakend asfollows:
for some R >
0,
where xR is the indicator function of the set{ w : sup[0,1] r (t) R {
on W.4. A GENERAL ROTATION INVARIANT METRIC In this section we extend our results in last sections to the case where the Wiener process w is
replaced by
a process associated to ageneral
rotation invariant metric and the 1-form b may
degenerate finitely
at theorigin.
For theformulation,
we refer to a work of Sheu[20]. Using
thepolar
coordinate(r, 03B8),
we assume that a Riemannian metric g onR2
isgiven by
where
g (r)
is apositive
smooth function on the interval(0, oo) satisfying
the
following:
(g-i)
As r -0,
Annales de l ’lnstitut Henri Poincare - Probabilités et Statistiques
where a E
R,
go = 1 and 0 =a(0) a(I) a (2)
.../
oo;(g-ii) infr>1g(r)/r03B1’
> 0 for some a’ ER;
(g-iii)
oo for some a" a’ and00;
(g-iv) -1
a 3 anda(l)
>(1 -
The
corresponding Laplace-Beltrami operator
isrepresented
ason
{r
>0}.
Its radial part is a Sturm-Liouvilleoperator
on
(0, oo) .
Theboundary
0 is entrance ifa ~
1 andregular
if -1 a 1in the sense of Feller
[5].
Theboundary
oo isalways
natural. Letr(t, r), t > 0, r ~
0 on[0, oo)
be the diffusion processgenerated by Or /2
withthe domain
Then we can construct a diffusion process
X(~), ~ ~ 0, x ~ 0, generated by A/2
as the skewproduct
of the processr (t, r)
and anindependent spherical
Brownian motion run with the clockfo g-2(r(s, r))
ds(cf. [11]).
We consider a differential 1-form b
given by
where
k (r)
is apositive
smooth function on(0, oo) .
The fibre norm of thisform with
respect
to the above metric isF(r)
:=k(r)/g(r).
We assumethat this function F satisfies the
following:
(b-i)
As r -0,
where p
>0, fo
>0,
0 =p (0) p ( 1 ) p (2) -../’
oo ;.
(b-ii)
There are 0p’ p"
andc’,
c" > 0 such thattor any r ~ 1.
We consider the
asymptotic behavior, as ~
~ oo, of a function definedby
where vol is the volume with
respect
to the above Riemannian metric andB (R)
:={x
EIxl R }
for R > 0.By taking
theexpectation
inBM(Sl),
we can rewrite this aswhere
r(t) := r (t, 0) .
To state the
theorem,
we introduce anoperator
with the domain D defined in
(4.1 ),
whereand
Fo (r)
:=forP. By
Lemma 4.1below,
thisoperator
isessentially
selfadjoint
as anoperator
onZ~((0,
wherema(dr)
:= ra dr. Wedenote the self
adjoint
extensionby
the samesymbol. By
Lemma 4.3below,
thisoperator
haspurely
discretespectrum.
We denote theeigen-
values
by
Jto p2 ... , thecorresponding
normalizedeigenfunc-
tions
by
CPI, ..., and theorthogonal projection
to theorthogonal complement
to theground
statesby Pj_.
Weeasily
see that Jto > 0 and that CPo can be taken as apositive
continuous function on the closed in- terval[0, oo) .
Letr’),
t >0,
r E[0, (0),
r’ E(0, (0),
be the tran- sitiondensity
of the processr (t, r)
withrespect
to thespeed
measureAnnales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
m(dr)
=g(r)
d r .By
theproof
of Lemma 4.7below,
we see thatexists. This value is
positive (see,
e.g., McKean[16]).
LetLet
ForB=(Ao,AI,...,Am) ~ B, we set
The main theorem is the
following:
THEOREM 6. - Under the conditions
(g-i)-(g-iv)
and(b-i)-(b-ii),
wehave the
following asymptotic expansion as 03BE
~ ~:where y =
!/(/)
+1), { A0:
A EA} are polynomials 0/’
/.. (~~(r-~d/~)~~, (~ - ~)-’P~~-~~/~
...(~o -
M EZ+, ~(0), ~(1),..., ~(n)
~ 0,0 ~ c(0), c(l),.... ~(M) ~
1 -a(l), ~(0), ~(1),...,
~{0,1}},
and
{IB:
B E.13}
arepolynomials of
The condition
(g-iv)
a 3 ensures that theboundary
0 is of limit circletype
for theoperator Or (see,
e.g.,[18] Appendix
toX.1 ).
When this condition is notsatisfied,
we assume thefollowing:
(g-v)
a > -1 anda(l)
> 2.Then we have the
following:
THEOREM 7. - Under the conditions
(g-i)-(g-iii), (g-v)
and(b-i)- (b-ii),
we have thefollowing asymptotic expansion as 03BE
~ ~:where y, and
Io
are those in Theorem 6.’ ’
Remark 4.1. -
(i)
Under the conditiona(l)
>2, {~co :
A EA, c (A)
2}
arepolynomials
ofonly
(ii)
We can treat alsogeneral amplitudes
as in Sections 2 and 3.However,
since the discussion is almostidentical,
we omit it.In the
following
wealways
assumeonly (g-i)-(g-iii),
a > -1 and(b-i)-(b-ii),
unless otherwise stated.To
analyze
the functionI (~ ),
we firstrepresent
this aswhere
r’)
andr’),
t >0,
r, r’ > 0 are the heat kernels of theoperators
~
Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
and - Or /2, respectively,
withrespect
to the measurem (d r ) .
To definethese
operators,
we use thefollowing lemma,
which is provenby
the sametechnique
of Sheu[20] :
LEMMA 4.1. - The
operators ~L(~)
andOr
areessentially self adjoint
on the domain D
defined
in(4.1)
asoperators
onL2((0, (0), m).
Moreover, by
thislemma,
we canrepresent
the heat kernel as follows:~-t7-l(F ) (r~ r’~
(see,
e.g.,[21]
Theorem1.1 ). By
ageneral theory (see,
e.g.,[ 11 ]
Section
4.11),
the heat kernel(r, r’)
is apositive
smooth function of(r, r’)
E(0, (0)2.
For therepresentation (4.6),
we use thefollowing:
LEMMA 4.2. -
positive
continuousfunction of (r, r’)
E[0, 00)2.
Proof. -
When a1,
this fact is well known since theboundary
0is
regular (see,
e. g., McKean[16]).
Whena ~ 1,
we use a result of Hille[6]
as follows(see
also Matsumoto[15]).
Weassume ~
= 1 andwrite 7~ :=
7~(1).
We use a canonical scale x =T (r),
where .r
Then the
operator
H isrepresented
aswhere
d M (x )
= Since theboundary
0 is entrance, we havelimr~0 T (r )
= "oo andMoreover,
if we setthen we have
Therefore, by
the same method of theproof
of Theorem 4.1 of Mat- sumoto[15] (cf.
Hille[6]),
we havefor any xo E
R,
where m 1 m 2 ... are theeigenvalues
of 1t and~1,~2....
are thecorresponding
normalizedeigenfunctions.
The dis-creteness of the
spectrum
of H is ensuredby
thesubsequent
Lemma 4.3.Moreover
by
the same lemma and Mercer’sexpansion theorem,
we seethat
e-tx (r, r’)
is a bounded continuous function of(r, r’)
E[0, (0)2.
Since the
boundary
0 is entrance, we haveThus we have
for any
(r, r’)
E[0,
0LEMMA 4.3. - The heat
semigroup generated by ~nC(~)
consistsof
trace class operators.
Proof. -
As in the lastproof,
we consideronly
:=’~C { 1 ) .
We setAnnales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
where [(
and( ~ , ~ ) g
are the norm and the innerproduct
ofL2(gdr),
respectively. By
the condition(g-i),
we can takepositive
smoothfunctions
gl (r)
andg2 (r)
on the interval(0, oo)
such thatfor some 0
Ci C2.
Then we havewhere
and
J(r)
:=By
the min-maxprinciple,
it isenough
toshow that the self
adjoint operator
on
L2(gl dr) generates
a heatsemigroup consisting
of trace classoperators.
We use a scale o- =S(r)
definedby
Then 1t is
regarded
as a selfadjoint operator
on
L2«0, oo),
whereand
By
theunitary
fromda )
toL2(aa da),
theoperator
7~ is transformed to a selfadjoint operator
on
da),
whereBy
the conditions(g-ii)
and(g-iii), 9(a)
is a boundedcontinuous
function on
[0, oo) .
Therefore the heat kernel of theoperator
1t has thefollowing representation:
for
(a, a’) E [0, 00)2,
whereor)~ ~ 0, 0,
is the Bessel diffusion process with index a + 1 anda’)
is its transitiondensity
function:
(cf.,
e.g.,[ 10] IV-(8.20)
and[21 ]
Theorem6.1 ). By
thisexplicit
represen-tation,
we havefor
any t
> 0. Moreover if we takelarge
R >0,
then we havefor any
R,
whereC3
andC4
arepositive
constantsdepending only
on R. In
fact,
if we divide asAnnales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
then the first term is estimated
by
theChapman-Kolmogorov equality, (4.11 )
and an estimate ofstopping
times(cf. [10]
LemmaV-10.5)
asfollows:
where
C7
andCg
arepositive
constantsdepending only
on R. The second term is estimated asby
the condition(b-ii).
From(4.11 )
and(4.12),
we obtainwhich
completes
theproof.
aAs in Section
2,
we rewrite(4.6)
aswhere
r’ ) , t
>0, r,
r’~
0 is the heat kernel of the selfadjoint
operator
on
L2(m)
withrespect
to thespeed
measure =g(r)dr,
and
gi (r) = (4.13)
is obtained from thescaling property
where
r~(’)
is the diffusion processgenerated by A~/2.
Moreover werewrite
(4.13)
aswhere
~,c2 (~ )
... are theeigenvalues
ofH (~ )
and~o(~~)~i(~)~2(~~-"
are thecorresponding
normalizedeigen-
functions.
The
aymptotic
behavior of pn(ç)
is as follows:PROPOSITION 4.1. -
n(03BE) = n for each n >
0.Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
PROPOSITION 4.2. - We have the
following asymptotic expansion
as~
~ 00:where
A,
y andc (A)
are those in Theorem 6.’
To prove these
propositions
we use thefollowing:
LEMMA 4.4. - For each we have the
following:
(i)
For some c1, c2, c3 > 0depending only
on n, we have(iii)
For any N =0, 1, 2, ... ,
we have(iv)
03C6n EDom(H(03BE)).
LEMMA 4.5. - For each
fixed
m EZ+
and a E[0,
1 /B +1)/2}),
we have
and
where
11 . . ~op
is the operator norm onProof of
Lemma 4.4. -(i) By estimating
theprobabilistic representa-
tionas in the
proof
of(4.12),
we obtain(4.15 )
with C3 =2 ( 1
Ap’ ) .
(ii) Let 03C8
be a smooth function on(o, oo)
such that =r-s
on
(0, Rl] and 1fr(r)
= 0 on[ R2, oo)
for some small 3 > 0 and some0
Ri R2.
For ~ E(0, R 1 ] ,
we haveSince the left hand side and the first term of the
right
hand side havelimits
0,
the limit should exist. Thus we havelimr~0r03B103C6’n (r)
= 0. On the otherhand,
we haveby
the characteristicequation
and(i)
of this lemma. Thus we havefrom which we obtain
limr~003C6’n (r)
= 0.(iii) (4.16)
with N = 0 followsfrom
EDom(H).
For~V ~ 1,
we usethe
integration by parts
and the characteristicequation
for qJn as follows:The first term
equals
towhich is finite
by (4.15).
The second term is dominatedby
which is finite
by (4.15)
and(4.16)
with N = 0.(iv)
We define a domainby
Annales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
V
We
easily
see that D c D and thatH (~ )
is defined as asymmetric operator
on Dby
the condition(g-iv) . Therefore, by Lemma 4.1,
we haveD c
Dom(H(03BE)).
On the otherhand,
we have 03C6n E Dby (i)-(iii)
of thislemma. Thus we have 03C6n E
Dom(H(03BE)).
DLemma 4.5 is proven
by
thetechnique
in McKean[ 16].
The
asymptotic
behavior of is as follows:PROPOSITION 4.3. - Under the conditions
of
Theorem6,
we have thefollowing asymptotic expansion as 03BE
- ~:where
A,
y,v(A)
are those in Theorem 6 and{cpo (0):
A E,A}
arepolynomials of
To prove this
proposition,
we use thefollowing:
LEMMA 4.6. - Under the conditions
of
Theorem6,
we haveand
for large enough
0.The
proof
of this lemma is reduced to thefollowing:
LEMMA 4.7. - Under the conditions
(g-i)-(g-iii)
and(b-i)-(b-ii),
wehave
where
is a
self adjoint
operator onL2 (tnj ) . Proof. -
We note thate~~~F’~> (0, 0)
and that
R~ (t)
:= r~(t)2,
t~
1 isregarded
as thepathwise unique
solutionof the stochastic
integral equation
where
w (t)
is the 1-dimensional standard Brownian motion withw (0) =
0 and
(cf. [ 10] Examples
IV-8.2 and3). By
the conditions(g-i)-(g-iii),
we havefor
any ~ ~ 1,
whereis a smooth function on
(0, (0)
such thatAnnales de l ’lnstitut Henri Poincaré - Probabilités et Statistiques
and
Ci, C2, C3
are somepositive
constants. LetRo (t, R), t > 0, 7? ~ 0,
be the solution of
and let
ro(t, r)
:=Ro(t, r2)
forr >
0 andro(t)
:=ro(t, 0). Then, by
the
comparison
theorem(cf.
Ikeda-Watanabe[10]
TheoremVI-1.1 ),
wehave
and
The
generator
of the processr)}
is0~/2,
whereFor this
operator,
the oo is entrance and theboundary
0 is same as for theoperator Ar
orA~.
Thus the resolvent(JL - Do)-1
foreach p
> 0 is atrace class
operator (see,
e.g., McKean[16]). Therefore,
as in Lemma4.2,
we can show the existence of
where
mo(dr)
=go(r)
dr(cf.
Hille[6],
Matsumoto[15]).
On the otherhand, by
the condition(g-i),
weeasily
see thatTherefore we obtain
(4.22).
0Now Theorem 6 is proven
similarly
as in Section 2by using Proposi-
tions 4.1~.3.
For the