A NNALES DE L ’I. H. P., SECTION A
G ÜNTER S TOLZ
Localization for random Schrödinger operators with Poisson potential
Annales de l’I. H. P., section A, tome 63, n
o3 (1995), p. 297-314
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297
Localization for random Schrödinger
operators with Poisson potential
Günter STOLZ
(1)
University of Alabama at Birmingham, Department of Mathematics, CH 452, Birmingham, Al 35294-1170, U.S.A.
Vol. 63, n° 3, 1995, Physique théorique
ABSTRACT. - Localization at all
energies
isproved
for the one-dimensional random
Schrôdinger operator
with Poissonpotential f (x - Xj (w)).
Thesingle
sitepotential f
is assumed to benon-negative
andcompactly supported.
The result holds forarbitrary density
of the Poisson process.Eigenfunctions decay exponentially
at the rate of theLyapunov exponent.
Crucial to theproof
is a new result onspectral averaging.
RÉSUMÉ. - On montre la localisation à toute
énergie
pour le Hamiltonien deSchrôdinger
aléatoire à 1 dimension avec unpotential
de Poissonf (w)).
Lepotentiel
de sitef
estsupposé
nonnégatif
et àsupport compact.
Ce résultat est valable pour une densité arbitraire du processus de Poisson. Les fonctions propres décroissentexponentiellement
avec un tauxégal
àl’exponent
deLyapunov.
Un élément crucial de la démonstration est fourni par un résultat nouveau sur les moyennesspectrales.
1. INTRODUCTION
The Poisson model is a random
Schrôdinger operator,
which describes random média with extreme structural disorder. For the one-dimensional(1 )
Partially supported by NSF-grant DMS-9401417.Annales de l’Institut Henri Poincaré - Physique théorique - 0246-021 i
. Vol. 63/95/03/$ 4.00/@ Gauthier-Villars
298 G. STOLZ
case it is known that this model does not exhibit
absolutely
continuousspectrum, cf. [ 14] .
But in contrast to other randomoperators,
inparticular Anderson-type
modelsdescribing
randomalloys,
noproof
of localization could begiven
so far. The mainproblem
for the Poisson model is theapparent
lack of"monotonicity"
in the randomparameter,
aproperty
whichwas
successfully
used inproofs
of localization forAnderson-type models,
e.g.
[27, 20, 4].
~For the one-dimensional Poisson model we will be able to overcome this
difficulty by providing
a new result onspectral averaging,
which allows togive
a version of "Kotani’s trick"adapted
to the Poisson model and can beseen as a consequence of some kind of
monotonicity
of the Poisson model in the distance ofneighboring
Poissonpoints.
Once we have established Kotani’s trick we can usepositivity
of theLyapunov exponent
and thestrategy
usedpreviously
for Anderson models[20]
to prove localization for the one-dimensional Poisson model.To define the one-dimensional Poisson model
(for general
informationsee
[22]
and[2])
we start with the Poisson random measure p, whichdepends
on aparameter
0152 > 0 called the concentration(density, intensity).
This is a
weakly
measurable random variable ~c on acomplete probability
space
(H, 0, P)
with values in the spaceM+ (R)
ofnon-negative
Borel measures on R. It has the
property
that for every Borel set B C R the real random variable(B)
is Poisson distributed withparameter
i.e. P(B)
=n) = (c~~B~~n e2014’~!,
and that(B1),
...,(Bn)
are
independent
ifBi,..., Bn
aremutually disjoint.
The distribution of~c makes
À4+ (R)
aprobability
space, which henceforth is identified with(f2,
°The process xt defined on
by
==~c ((0, t])
for t > 0and zt (~c) = - p ((0, t] )
for t 0 isstrictly stationary
in the sense thatthe multivariate distributions of xt2 +t - ~~~~,..., xtn +t - do not
depend
on t. Furthermore it hasindependent
increments xt2 -xtl , ... , Thus the shiftsTt,
t E R definedby (Ttp) (A)
= p(A
+{t}),
p E
À4+ (R),
are ametrically
transitivefamily
of one-to-one measurepreserving
transformations on./~1 + (R) (cf. [7,
Ch.XLI]).
With
probability
one /-lw is acounting
measure for alocally
finite set ofpoints Xi (w)
ER,
i.e. pw(B) = # {i; Xi (c~)
EB~ [12].
TheXi
can belabeled measurable way such that
The concentration a is the average number of
points Xi (cv)
per unitinterval. The random variables :==
Yn:
=Xn - Xn-1
andAnnales de l’Institut Henri Poincaré - Physique théorique
Y_n:
:=X-(n-l) - X-n (n
>2)
areindependent
and each hasabsolutely
continuous distribution with
density ae-at, cf. [13,
Ch.4].
Note here that the distribution of is different from the distributions ofYn,
>
2,
anexample
of thewaiting
timeparadox [ 13] .
We take a
single
sitepotential
f
EL2 (R),
real valued andcompactly supported, ( 1 )
and define the Poissonpotential by
where
This means that
By Campbell’s
Theorem([13],
Sect.3.2])
we haveThus
is almost
surely essentially selfadjoint
onCo (R) [14, App. 2]. By (2)
thefamily Hw
ismetrically transitive,
thus(cf [22])
there exist susbsets~a~,
~sc
and~pp
of R such that almostsurely
with aac, ~s~ and app
denoting
theabsolutely continuous, singular
continuous and
point spectrum.
We will now assume that in addition
f >
0 and notidentically
0.(5)
Our
main
result isVol. 63, n° 3-1995.
300 G. STOLZ
THEOREM 1. - For the one-dimensional Poisson model
Hw defined by ( 1 ), (2), (4)
and(5)
one hasi.e.
Hw
almostsurely
has purepoint
spectrum. Theeigenfunctions decay exponentially
at the rateof
theLyapunov
exponent.From f
> 0 iteasily
follows thato- (Hw) _ [0, oo)
almostsurely,
i.e.Theorem 1
actually
proves dense purepoint spectrum
forHw .
To prove Theorem 1 we will
rely
on Kotani’sgeneral
results[ 18]
on one- dimensional randomSchrôdinger operators.
Kotani assumed boundedness of thepotential,
which does not hold for the Poissonpotential. (In
the caseof
bounded f
there almostsurely
is alogarithmic
bound forVw [10]).
Butis was shown in
[14, App. 2]
that the results to be used below extend togeneral metrically
transitiveHw =
aslong
as(3)
is satisfied.First we note that
f being compactly supported implies
thatVw (x)
isa non-deterministic process in the sense of
[ 18], cf. [14], [22].
Thereforethe
Lyapunov exponent 03B3 (E)
ofHw
isstrictly positive
for(Lebesgue-)
a.e. E E
R, and,
inparticular, ~a~
=0,
a result known to hold in muchmore
general
situations[14].
It remains to beproved that 03A3sc
=0
and thateigenfunctions decay exponentially
at the rate of theLyapunov exponent.
Since q (E)
> 0 for almost every E we can use the Osceledec-Ruelle theorem(e.g. [22,
Sect.11A])
to conclude that for a.e. E there exist non- trivialexponentially decaying (at Lyapunov rate)
solutions at +00 as wellas -~
of - u"
+Vwu
= Eu for a.e. w. Anapplication
of Fubiniyields
PROPOSITION 2. - To a. e. E E f~ there exist non-trivial solutions u+ and Eu such that u+ is
exponentially decaying
at andu- is
exponentially decaying
at - oo at the rateof
theLyapunov
exponent.This will serve as one of the basic
ingredients
in theproof
of Theorem 1.The other
ingredient
isspectral averaging,
a method which has turned out to beextremely
useful inproofs
of localization for various random models(e.g. [27], [20], [4]). Having
the standard factsleading
toProposition
2above and
using
the Kotani-Simonproof [20]
of localization for the one-dimensional Anderson model as
guidance,
the main obstacle to overcomefor the Poisson model was the lack of a result on
spectral averaging.
Sucha result is
given
in Section2,
where a deterministicfamily
ofSchrôdinger
operators Ha involving
a shiftparameter a
is studied.In the
proof
of Theorem1,
which iscompleted
in Section 3 this shiftparameter
will be found from the value ofYi
=Xi,
while all the other distancesYn
will bekept
fixed(independent
ofYi).
SinceYi
hasabsolutely
Annales de l’Institut Henri Poincaré - Physique théorique
continuous distribution we can
apply
our result onspectral averaging
fromSection 2.
At the end of Section 3 we will comment on
possible generalizations
ofTheorem 1. In
particular,
we state that our main result can be extended to"mixed Anderson-Poisson models" of the
type
We also note that after
dropping
theassumption ,~ >
0 we at leastget
~sc
n(0, oo) = 0.
For
convenience,
we include anAppendix
to collect suitable versions ofsome more or less standard results used in Section 2.
We have earlier announced our main result in
[30].
2. SPECTRAL AVERAGING
Let
Wi
ELloc (R)
vanish in(-00, 0)
and be such that the differentialexpression -d2/dx2
+W1
is limitpoint
at +00. Note that x aquite general
criterion for the latter to hold is
given by / Wi,- (t)
dt = 0(x3)
asx ~ oo for the
negative part Wi,-
ofW1 [9].
Also letW2 E (R)
vanish in
(0, oo )
+W2
be limitpoint
at 2014oo.We define a
family
ofpotentials Va, a
> 0 on the real lineby
and denote the
unique selfadjoint
realization(in
the sense of Sturm-Liouville
theory)
of +Va
inL2 (R) by Ha . (Under
theslightly
stronger assumption Wi
E i =1, 2, Ha
coincides with the closure of +Va
with domainCô (R).)
The
operators Ha
havespectral multiplicity
one and theirspectral type
is determinedby
theWeyl-Titchmarsh spectral
measures p~, i. e. the trace measurescorresponding
to the standard 2 x 2-matrix valuedspectral
measures for
Ha [3].
In the
proof
of theproposition
below we will make use of Prüfer variables and theirdependence
on variousparameters:
For somepotential
V let ube the solution of -u" + Vu = Eu with u
(c)
= sin 0and u’ (c)
= cos 8.Then the Prüfer
amplitude
andangle
areand
Vol. 63, n° 3-1995.
302 G. STOLZ
where
Çc
is normalized such thatÇc (c, 8, E, V)
= 0 andÇc (., B, E, V)
is continuous.
The
family Ha
satisfiesspectral averaging
atpositive energies:
PROPOSITION 3. - For
fixed
a2 > al > 0 andarbitrary
Borel sets B c Rdefine
Then the Borel measure ~c is
absolutely
continuous on( 0, 00).
Proof -
It isenough
to show that ~c isabsolutely
continuous in(Eo, El )
for every fixed
pair Ei
>Eo
> 0. This will in turn follow from the existence of a C > 0 such thatfor every
non-negative
continuousf
withcompact support
in(Eo, Ei).
(So
in fact we show localLipshitz continuity
of ~c in(0, oo).)
In the
proof
of(6)
we will make use of the fact that pa is the weak limit ofspectral
measures tooperators
definedby -d2/d~2 + Va
on finite intervals : Let
( p~ ) NN a
be theWeyl-Titchmarsh spectral
measure to the
selfadjoint realization
of-d2 / dx2
+Va
inL2 (-N, N) corresponding
toboundary
conditionsf (-N) f’ (-N)
sin a =0, f (N)
cosj3 - f’ (N)
sin/3
= 0. Define theaveraged spectral
measures~ ,
For every a we have that pa is thé weak limit of thé
(03C1a)N-N:
vcf [2,
Ch.III].
The measures are
absolutely
continuous with densities whichcan be
expressed
in terms of Prüferamplitudes ([1], [2]
for continuousV, [29, Appendix B]
for moregeneral V):
Annales de l’Institut Henri Poincaré - Physique théorique
Using (7)
we can therefore writeSolving -u" + Va u
= Eu first in[0, a] (where Va
=0)
and then in[a,
N +a]
showsPositivity
of Prüferamplitudes
and continuousdependence
of solutions of-u"
= Eu onparameters
shows ro(a, 8, E, 0)
> C > 0 for alla E
~2]. ~ ~ [0, 7r]
and E E[Eo, Together
with a similar result for ro( - N -
a,6~, E, Va)
weget
In
(9)
we now substitute the new variablesWe use
and
(see Proposition
11 of theAppendix)
Vol. 63, n° 3-1995.
304
uniformly
in a E[al, a2~, 8
E[0, 7r],
E E[Eo,
Weget
for the Jacobianuniformly
in E E[Eo , E1]
and therefore the r.h.s. of(9)
can be estimatedby
where also
([ai, a2]
x[0, 7r])
Cci]
x[b2, uniformly
inE E
[Eo, Ei]
was used.The
integral ( 11 )
factorizes in/3i
andfl2 .
Thegeneral identity
(see Corollary
12 of theAppendix)
and the7r-periodicity
of rx(y, 0 , E, V)
in 03B8 now
yield
the uniform boundedness of( 11 )
and therefore the r.h.s. of(9)
in E E[Eo, El ] .
This can be used tointerchange
the N-limit and thea-integral
in(8) (dominated convergence)
and tothereby get (6).
#Results on
spectral averaging
are related to absence of continuousspectrum
for one-dimensional continuous and discreteSchrôdinger operators by
various versions of anargument
known as Kotani’s trick. Sofar,
it hasbeen
applied
to the case where theaveraging parameter
is(i)
aboundary
condition for a half-line
Schrôdinger operator,
e.g.([19] ,[15], [ 16] ),
or(ii)
a
coupling
constant À in afamily Ha
=Ho
+~W,
the latterbeing
basicto one of the
proofs
of localization for one-dimensional Anderson models[27], [30]. Equipped
withProposition
3 we can nowapply
these well known ideas to the modelHa
from above(here
U is the continuousspectrum
and W E ’[0, oo)
means sup/
oo and0]
is definedanalogously :
PROPOSITION 4. - Let
Ha
bedefined
as above and assumeWl, _
ELloc,
uni fL~ ~ 00), W2, -
ELL c,
uni f(-00, ~] ~
Let I be an open subsetof (0, oo). Suppose
thatfor
almost every E E I there exists a non-trivial solutionL2 (0, 00) of
-u" +W~
u, = Eu and a non-trivial solutionIf
the solutions u+ and u- areexponentially decaying
atand -~, respectively,
then theeigenfunctions of -~a
toeigenvalues
E E I areexponentially decaying for
a. e. a > 0.Annales de l ’Institut Henri Poincaré - Physique théorique
Remarks. - In our
application
to the Poisson model in the next sectionwe will have more information than used
here, namely
the existence ofexponentially decaying
solutions at and -oo with all other solutionsexponentially growing.
This wouldactually
allow a somewhatsimpler proof
ofProposition 4;
compare theproof
of Theorem 2.1 in[20].
Wethink, however,
that it ishelpful
to realize that theproposition
holds under the weakest naturalassumption, namely square-integrability
of the u+ andu- . In the
proof
we follow the line ofargument
used in[15,
Lemma1] ]
for the discrete case.
We also
expect
that the uniform localintegrability
ofWi,-
can bereplaced by merely assuming
limitpoint
behavior at This issuggested by
acorresponding
result for the case ofboundary
condition variationgiven
in[6],
seeCorollary
3.2 in connection with a remark at the end of the introduction there. But we do notyet
know how to extend the method ofproof
used in[6]
to the situation ofProposition
4.ProofofProposition
4. - Let ~ be theexceptional
set of those E E I suchthat at either or -oo there is no non-trivial
L2-solution. By assumption
we have
Lebesgue
measure1£1
= 0 for this set. Therefore ~c(?)
= 0 withthe measure from
Proposition 3, independent
of the choice of ai and a2 there. Thisimplies
pa(?)
= 0 for a EM,
where M is a full measuresubset of
(0, oo).
Now fix a E M and s E
(1/2, 1]. By
pa(£)
= 0 we have non-trivial solutions u+ EL2 (0, oo)
of -u" +Wi u =
Eu and u- EL2 (-oo, 0)
of-u"
+W2 u
= Eu for pa-a.e. E E I. Inaddition,
Shnol’stheorem,
seeProposition 9, gives
the existence of non-trivial solutions u E(R)
:={f : (1 + IxI2)s/2 f
EL2 (R)}
of -u"+ Va u
= Eu for pa-a.e. E E I.Note
that u (.
+a)
is a solution of -u" +Wi u
= Eu on(0, oo)
andu
(.
-a)
is a solution of -u" +W2 u
= Eu on(-00, 0).
From
Proposition
8(and
itsanalogue
on halflines)
weget u+
EL2 (0, oo), ul
EL2 (-00, 0) and u’
EL2 s (R). Constancy
of theWronskian
yields
which can
only
hold with C = 0 since s 1.Vol. 63,n° 3-1995.
306 G. STOLZ
Thus we have shown that u is a
multiple
of u+, i.e.square-integrable
near +00 for pa-a.e. E E I.
Using
u- in the same way we alsoget
square-integrability
of u at -oo for pa-a.e. E EI,
and therefore u EL2 (R)
forpa-a.e. E E I. This means that
pa-almost
every E~ I is
aneigenvalue
ofHa.
The set ofeigenvalues
ofHa
iscountable,
thus pa is apoint
measureon
I,
i.e. 7c(Ha)
n l =0.
Since we choose theeigenfunctions
from thesupply provided by
the u+ and u- , the statement aboutexponential decay
is obvious. #
3. PROOF OF THEOREM 1 AND COMMENTS
Combining
the results of Section 2 with thegeneral properties given
inSection
1,
theproof of
Theorem 1 is nowreadily completed:
By Proposition
2 and Fubini’s theorem we have that for almost every choice of the séquence ...,Y_ 2 , Y_ 1, Y2 , Y2 , ...
there existexponentially decaying
solutions u+ at +0oo and -oo,respectively,
ofHw
u = Eu foralmost every E E IR. This does not
depend
on the value ofYi (since together
with the
potential
we can shift theexponentially decaying solution).
Fix such a séquence...,
Y-2, Y-1 , Y2, Y3,...
and choose 8 > 0 withsupp f
c[-03B4, 03B4]. Defining
we are in the situation of
Proposition
4. Thus for almost every a > 0 we havewith
exponentially decaying eigenfunctions.
Since theoperator
+Wl (x - a)
+W2 (x
+a)
isunitary equivalent
toHW
for the choice 2a =Y1 -
28(by shifting
thepotential)
this event hasprobability
~
(Y1 > 28) =
dx = This holds for almost every126
...,
Y-2 , Y- 1 , Y2, Y3,...,
thusby
Fubini wefinally get
~~ ==o
withprobability e-2a6
> 0. Since a(Hw)
C~0, oo)
weget
inparticular
that ~s~
(Hw) _ ~
withpositive probability.
Thisimplies ~S~ _ 0.
Annales de l’Institut Henri Poincaré - Physique théorique
Noting
thatexponential decay
ofeigenfunctions
at theLyapunov
ratealso is a non-random
property ([20,
TheoremAl])
and that 0 is aneigenvalue
ofHw
with zeroprobability [22,
Thm.2.12] completes
theproof
of Theorem 1. #There are a number of
generalizations,
comments and openproblems
related to the above
result,
which we think are worth to be mentioned:(i)
It can be checked that all the basicproperties
of the Poisson process p =B~ 8xn
needed in theproof
of Theorem 1 are also satisfied forn
_
more
general compound
Poisson processes~c
=~ ~n bXn
discussed forn
example
in[ 12] .
Here theAn
arenon-negative
i.i.d. random variables with E(À~)
oo, alsoindependent
from the Poissonpoints Xn .
The associatedmetrically
transitivepotential
isBy E (~n)
00 onegets E (Vw (0)~)
oo. We therefore have thefollowing
generalization
of Theorem 1:THEOREM 5. - Let
Hw
=-d2 1 dx2 + Vw with Vw defined by (12), f
as in
(1), (5)
andcompound
Poisson process with~n
> 0 i.i.d. and lE oo. Then the conclusionof
Theorem 1 holds.It is
enlightenning
to compare our result for the "mixed Anderson-Poisson model"(12)
with a result of Combes andHislop [4]
on localization for the multidimensional version of this model. Understronger assumptions
on theAn (bounded, absolutely
continuousdistribution)
and suitableassumptions
on
f (in particular, non-compact support
with suitabledecay) they
prove localization at lowpositive energies. They essentially
use the randomness in thecoupling
constant in theirproof (and
can not treat the"pure"
Poisson
case),
whereas we use the randomness of the Poissonpoints.
Sothe Anderson-Poisson model is treated as an Anderson model in
[4]
andas a Poisson model here.
(ii)
One cantry
to relax theassumptions
on thesingle
sitepotential f : a)
Theproof
ofProposition
3actually
does not need thatf
isnon-negative
as
long
as it iscompactly supported,
but note thatspectral averaging only
holds for
positive energies. Proposition
4 can also be extended(note
thatthe
negative part
of thepotential
may grow likeInlxl
now[10],
i. e.Proposition
4 does notapply directly).
We can therefore proveVol. 63, n° 3-1995.
308 G. STOLZ
THEOREM 6. - Let
HW
bedefined
as in Theorem1,
but with the weakerassumption
thatf
issquare-integrable, compactly supported
and notidentically
zero. Then we havewith
eigenfunctions
topositive energies decaying exponentially
at theLyapunov-exponent
rate.Hw
will now ingeneral
havenegative spectrum.
Weexpect
that thisspectrum
is also purepoint,
but our method does not allow to prove this.Technically
this is causedby
the fact that and used in theproof
ofProposition
3 will now have zeros. We note that a very similarproblem
arises in Minami’s work on localization forLévy
noisepotentials [21,
p.232].
b)
Iff
isnon-compatly supported,
thengenerically Hw
will be deterministic in the sense of Kotani[14]. Nevertheless,
it is known for many suchf
that ~a~(~) = 0
almostsurely ([14], [ 11 ], [28], [29]).
Thisleads
to 03B3 (E)
> 0 for a.e. E and thevalidity
ofProposition
2again, leaving
us with the need to extendPropositions
3 and 4 to a moregeneral
version of
Ha,
which includesinterfering
"tails" ofWi
andW2.
We do not see how to do that.(iii)
Our results in Theorems1,
5 and 6 can, of course, not be extended toguarantee
purepoint spectrum
for every ~. Forexample,
if all theXi
are of
equal
distance(a
zeroprobability event),
thenVw
isperiodic,
i. e.H~ absolutely
continuous.In
addition,
there are recent results whichsuggest
that thespectrum
ofHw
should bepurely singular
continuous for many values of ~. A result of delRio,
Makarov and Simon[5]
andindependently
of Gordon[8]
shows"genericity"
ofsingular continuity
for discrete Anderson modelsexhibiting
localization. We
expect
similar ideas toapply
to the Poisson model.(iv)
As a final comment wepoint
out that it would be very useful to havea result on
spectral averaging
for models of thetype
in
L (R ), ~
> 1.Using
this in d =1,
aproof
of localization for the one-dimensional randomdisplacement
modelwim i.i.a. ranaom variables in could be
completed along
the lines of theabove
proof.
The multidimensional version of( 14)
has been studiedby
Annales de l’Institut Henri Poincaré - Physique théorique
Klopp [ 17] .
For suitablef and Çn
heproved
localization at lowenergies
inthe semiclassical limit
(i.e.
underlarge coupling
forf ).
In d > 1 a result on
spectral averaging
for(13)
would also be needed to treat the Poissonmodel, using
in addition the ideasdeveloped
in[20]
and
[4]
for the multidimensional continuum Anderson model.Unfortunately,
the model(13)
does not seem to have any nicemonotonicity properties
in theparameter
c, not even in d = 1. Sofar, monotonicity
had a crucialpart
in allproofs
ofspectral averaging.
In theproof
ofProposition
3above,
it appears in the form of(10).
Ourinability
to prove localization at
negative energies
in Theorem 6 is also causedby
the breakdown of this
monotonicity argument.
APPENDIX
In this
Appendix
weprovide
some technical results which were used in Section 2. All these results are more or less standard. We includeproofs
since some of them may not be known to hold under the
given generality.
We start with a lemma
providing
infinitesimal formboundedness ofunif-potentials,
but alsoshowing
that uniform constants can be chosenon
général
subintervals(a, b)
of R. Here~) = {/ ~ L2 (a, b) : f absolutely continuous, f’
EL2 (a, 6)}
is the first order Sobolev space.LEMMA 7. - Let W E uni f
(R),
8 > 0 and ~ > 0. Then there is aconstant C such that
for
every a and b with -~~ a b ~ ~, b-a ~ 03B4
andf
EHl (a, b).
Proof -
Let 7 G(a, b) (1
c[a, b)
or 7 G(a, b]
if a or b arefinite)
with~
= 8. Thereis y
e 7 such that1
==1 (if a
resp. b are.ce7
finite,
then limf (x)
resp. limf (x) exist).
For every choice of 6~ > 0.c2014~
and x E 7 we have
Vol. 63, n° 3-1995.
310 G. STOLZ
which
implies
thatFrom this we
get (15) by covering (a, b)
with intervals oflength
8 suchthat each x E
(a, b)
is coveredby
at most two intervals.Next we
study weighted L2-solutions
of-u"
+ Vu = zu,using
thenotation
LS = ~ f : I~s f
EL2 ~,
wherel~s (x) _ ( 1
+PROPOSITION 8. - Let
V+
E(R)
and V- E unif(R). If
z EC,
s and u is a solution
of
-u" + Vu = zu with u ELs (R),
then alsou’ E
Ls (R).
Proof -
Fromu) u)’)’ _ ~ u)’ ~2 ~ (~s u) (~S u)"
and(hs u)"
==l~s’ u ~ 2k§ u’
+l~s (V - z ) u
weget
Using 1
onegets
From Lemma 7 we have
with C
independent
of x. If follows that theintegral
on the r.h.s. of(16)
can be estimated
by
Annales de l’Institut Henri Poincaré - Physique théorique
If we
L2 (0, oo),
i.e. also(ks u)’ rt M2 (0, oo),
then this lastexpression
wouldapproach
oo as x - +00. But then(16) yields
leading
to thecontradiction I~S (x)
- oo. We haveproved u’
ELs (0, oo).
In the same way weget u’
ELs (-00, 0). #
We are now
going
toprovide
a version of Shnol’s theorem foroperators
H inL2 (R)
defined +V,
whereV+
ELfoc (R)
and V- E Note that
by
Lemma8V- isinfinitesimally
formbounded with
respect
to +V+,
H can be definedby
means of
quadratic
forms.Let p be a
spectral
measure ofH,
i.e. a Borel measure p such that p(A)
= 0 if andonly
if E(A)
=0,
Abeing
any Borel set and E thespectral
resolution for H.PROPOSITION 9. - Let h E
L2 (R)
befixed.
Thenfor p-almost every 03BB
E Rthere is a non-trivial
solution ~ Vp
=~cp
such thathp
EL2 (R).
The classical
example
for which this result is well known(e.g. [25])
isgiven by
the choice h = >1/2.
Below weprovide
asimple proof
which is modeled after a method
developed
in[23].
We start withLEMMA 10. - For every z G
p (H)
we have that h( H -
is aHilbert-Schmidt operator.
’
Proof -
From the formboundedness of V- weget
that(-d2/dx2 - m)1/2(H - m)-1/2
is a boundedoperator
for m inf(a (H), 0).
Astandard result
(cf. [24])
says that h( -d2 1 dx2 - m) -1/2
is Hilbert-Schmidt.Thus we
get
the Hilbert-Schmidtproperty
forh (H - m)-1/2,
i.e. alsofor
h (H -
This extends togeneral z
Ep (H) by
the resolventequation. #
Proof of Proposition
9. - Let U :L2
-~dpj)
be an orderedspectral representation
forH, cf
e.g.[31,
Ch.8].
Then p = pi is aspectral
measure for H
(e.g.
Lemma 2b of[23])
and it remains to show the assertion with this p, since any twospectral
measures for H areequivalent. By [31,
Theorem
8.4]
we have forevery j
thatthe
pj-almost every A
E R andf
EL2 (R)
withcompact support.
Here x R - C is dx xdp-measurable
and Tvj(., À) = Àvj (., À)
withvj
(.,
0 forpj-almost every A. By
Lemma 10( H -
is theVol. 63, n° 3-1995.
312 G. STOLZ
restriction of a Hilbert-Schmidt
operator
inL2 (R),
thusis the restriction of a Hilbert-Schmidt
operator
fromL2 (R)
toL~ (R, dp)
and thus has a kemel
To a
given
N E N letf n
ECo ( - N, N ) , n
=1, 2,...,
begiven
suchthat ~ f n ~
is dense inL2 ( -N, N).
From(17)
and(18)
weget
that for every n andp-almost
every ASince
{ fn~
is countable and dense inLz (-N, N)
thisimplies
that forp-almost
every AN was
arbitrary,
therefore(20)
in fact holds for almost every x E R.(19)
and Fubini
yield
The assertion is proven with p = vi
(., À). #
We
finally
recall someproperties
of the Prüfer variables rc(x, B, E, V)
and
~~ (x, B, E, V)
used in theproof
ofProposition
3. Since E and V arefixed
here,
wedrop
them from the notation.PROPOSITION 11.
~e
is found from thisby
the method ofintegrating
factors.Using Tc(C, 82) (c, ())
= 1 wetget (21).
#Annales de l’Institut Henri Poincaré - Physique théorique
We note that under our
assumption interchanging 8x
andâe
in the aboveproof
isactually only justified
for almost everypair (x, 0).
Thisyields
that
(21)
holds for every x and almost everyB, being
sufficient for ourapplications.
COROLLARY 12. - For any c, x and 03B8 we have
Proof -
This followsby integrating (21)
andusing 03C6c (x, 0 + 1r) - 03C6c (x, ()) ==
7T.#
ACKNOWLEDGMENTS
1 like to thank R. Carmona for criticism which
helped
toimprove
thiswork and P. Stollmann and B. Simon for
helping
with theseimprovements.
1 am
grateful
to M. Aschbacher and C. Peck for thehospitality
of Caltechwhere this work was started and
completed.
REFERENCES
[1] R. CARMONA, One-dimensional Schrödinger operators with random or deterministic potentials: New spectral types, J. Funct. Anal., Vol. 51, 1983, pp. 229-258.
[2] R. CARMONARA and J. LACROIX, Spectral theory of random Schrödinger operators, Birkhäuser, Basel-Berlin, 1990.
[3] E. A. CODDINGTON and N. LEVINSON, Theory of ordinary differential equations, McGraw- Hill, New York, 1955.
[4] J.-M. COMBES and P. D. HISLOP, Localization for continuous random Hamiltonians in
d-dimensions, J. Funct. Anal., Vol. 124, 1994, pp. 149-180.
[5] R. DEL RIO, N. MAKAROV and B. SIMON, Operators with singular continuous spectrum, II.
Rank one operators, Commun. Math. Phys., Vol. 165, 1994, pp. 59-67.
[6] R. DEL RIO, B. SIMON and G. STOLZ, Stability of spectral types for Sturm-Liouville operators, Math. Research Lett., Vol. 1, 1994, pp. 437-450.
[7] J. L. DOOB, Stochastic Processes, Wiley, New York, 1953.
[8] A. GORDON, Pure point spectrum under 1-parameter perturbations and instability of
Anderson localization, Commun. Math. Phys., Vol. 164, 1994, pp. 489-506.
[9] Ph. HARTMAN, The number of L2-solutions of x" + q
(t) x
= 0, Amer. J. Math., Vol. 73, 1951, pp. 635-645.[10] I. W. HERBST, J. S. HOWLAND, The Stark ladder and other one-dimensional extemal field problems, Commun. Math. Phys., Vol. 80, 1981, pp. 23-42.
[11] P. D. HILSOP, S. NKAMURA, Stark Hamiltonians with unbounded random potentials, Rev.
Math. Phys., Vol. 2, 1990, pp. 479-494.
[12] O. KALLENBERG, Random Measures, Akademie-Verlag, Berlin, 1975.
[13] J. F. C. KINGMAN, Poisson Processes, Clarendon Press, Oxford, 1993.
[14] W. KIRSCH, S. KOTANI and B. SIMON, Absence of absolutely continuous spectrum for
some one dimensional random but deterministic potentials, Ann. Inst. Henri Poincaré, Vol. 42, 1985, pp. 383-406.
Vol. 63, n° 3-1995.
314 G. STOLZ
[15] W. KIRSCH, S. A. MOLCHANOV and L. A. PASTUR, One-dimensional Schrödinger operator with unbounded potential: The pure point spectrum, Funct. Anal. Appl., Vol. 24, 1990, pp. 176-186.
[16] W. KIRSCH, S. A. MOLCHANOV and L. A. PASTUR, One-dimensional Schrödinger operator with high potential barriers, Operator Theory: Advances and Applications, Vol. 57, pp. 163-170, Birkhäuser-Verlag, 1992.
[17] F. KLOPP, Localization for Semiclassical Continuous Random Schrödinger Operators II:
the Random Displacement Model, Helv. Phys. Acta, Vol. 66, 1993, pp. 810-841.
[18] S. KOTANI, Lyapunov indices determine absolute contnuous spectra of stationnary
one dimensional Schrödinger operators, Proc. Taneguchi Intern. Symp. on Stochastic Analysis, Katata and Kyoto, 1982, pp. 225-247, North Holland, 1983.
[19] S. KOTANI, Lyapunov exponents and spectra for one-dimensional Schrödinger operators, Contemp. Math., Vol. 50, 1986, pp. 277-286.
[20] S. KOTANI and B. SIMON, Localization in General One-Dimensional Random Systems,
Commun. Math. Phys., Vol. 112, 1987, pp. 103-119.
[21] N. MINAMI, Exponential and Super-Exponential Localizations for One-Dimensional
Schrödinger Operators with Lévy Noise Potentials, Tsukuba J. Math., Vol. 13, 1989, pp. 225-282.
[22] L. PASTUR and A. FIGOTIN, Spectra of Random and Almost-Periodic Operators, Springer- Verlag, 1991.
[23] Th. POERSCHKE, G. STOLZ and J. WEIDMANN, Expansions in Generalized Eigenfunctions of Selfadjoint Operators, Math. Z., Vol. 202, 1989, pp. 397-408.
[24] B. SIMON, Trace ideals and their Applications, Cambridge University Press, Cambridge,
1979.
[25] B. SIMON, Schrödinger semigroups, Bull. Am. Math. Soc., Vol. 7, 1982, pp. 447-526.
[26] B. SIMON, Localization in General One Dimensional Random Systems, I. Jacobi Matrices, Commun. Math. Phys., Vol. 102, 1985, pp. 327-336.
[27] B. SIMON and T. WOLFF, Singular continuous spectrum under rank one perturbations
and localization for random Hamiltonians, Commun. Pure Appl. Math., Vol. 39, 1986, pp. 75-90.
[28] G. STOLZ, Note to the paper by P. D. HILSOP and S. NAKAMURA: Stark Hamiltonian with unbounded random potentials, Rev. Math. Phys., Vol. 5, 1993, pp. 453-456.
[29] G. STOLZ, Spectral theory of Schrödinger operators with potentials of infinite barriers type, Habilitationsschrift, Frankfurt, 1994.
[30] G. STOLZ, Localization for the Poisson model, in "Spectral Analysis and Partial Differential
Equations", Operator Theory: Advances and Applications, Vol. 78, pp. 375-380, Birkhäuser-Verlag, 1955.
[31] J. WEIDMANN, Spectral Theory of Ordinary Differential Operators, Lect. Notes in Math., Vol. 1258, Springer/Verlag, 1987.
(Manuscript received February 16, 1995;
Revised version received June 6, 1995. )
Annales de l’Institut Henri Poincaré - Physique théorique