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A “wave automaton” for wave propagation in the time domain: II. Random systems
Patrick Sebbah, Didier Sornette, Christian Vanneste
To cite this version:
Patrick Sebbah, Didier Sornette, Christian Vanneste. A “wave automaton” for wave propagation in the time domain: II. Random systems. Journal de Physique I, EDP Sciences, 1993, 3 (6), pp.1281-1302.
�10.1051/jp1:1993155�. �jpa-00246797�
Classification
Physics
Abstracts71.55J 03.40K 42.20
A
« waveautomaton
»for
wavepropagation in the time
domain
:II. Random systems
Patrick
Sebbah,
Didier Somette and Christian VannesteLaboratoire de
Physique
de la Mati~re Condensde(*),
Universit£ deNice-Sophia Antipolis,
Parc Valrose, B-P- 71, 06108 Nice Cedex 2, France(Received 22 December 1992, ret,ised 9
February
1993, accepted17February
1993)Abstract.
Following
ourprevious description
of the « wave automaton », a new lattice model introduced for thedynamical propagation
of waves inarbitrary heterogeneous
media which is efficient for calculations onlarge
systems (1 024 x 1024) overlong
times (several 10~ inverse band widths), we present a detailed study of thetime-dependent
transpon of wavepackets
in 2D-random systems. The
scattering
of a Bloch wave in aperiodic
system by asingle impurity
is first calculatedanalytically,
which allows us to derive the elastic mean free time r and mean free length i~ as a function of the model parameters and thefrequency
f = w/2ar. We then expose the different results on wave
packets
in random media which have been obtainedusing
extensive numerical simulations on aparallel
computer. We study the differentregimes
(ballistic, diffusive, localized) which appear as the wavepackets spread
over the random media and compare thesenumerical results with weak localization
predictions.
1. Introduction.
The wave automaton
model,
described in detail in theprevious
paperII ],
is a lattice model of wavepropagation
inarbitrary
media. It isprobably
thesimplest
model to capture the essentials of wavepropagation
in discrete lattices. Its construction in real spaceaqd
time makes itideally
designed
forstudying time-dependent properties
of wavepropagation
inlarge arbitrary
random media atlong
times.Although
this model isanalogous,
in some range of parameters, to a timedependent tight-binding
model with second-nearestneighbor coupling (as
has been shown inill),
its formulation is howeverquite
different from the usual formulation oftight-binding
models.
Usually, dealing
with wavepropagation
inheterogeneous
mediaimplies
the resolution of anequation (eg. Schrodinger equation), using
a Hamiltonian H(eg. HP,
=
V, W,
+J
£
W~ for thetight-binding model). Unfortunately,
the time evolution is notgiven by
j, -j =1
(*) CNRS URA 190.
H
directly
butby
itsexponentiated form,
the evolution operator U=
e'~~
= I iHr
H~ r~/2
+... Numerical calculations thenusually
need a scheme toapproximate e'~~
which may lead either to errors which end upaccumulating
atlong
times or tocomplex
numericaloperations slowing
down thecomputation significantly. Again,
thespecificity
of our model is that it is the evolution operator U which ispostulated
from the start.Besides,
because the S-matrix isunitary,
U is alsoperfectly unitary. Except
for the calculatorprecision itself,
theproblem
of energydrifting
is eliminated and the number of iterations can bedrastically
increased,enabling computation
of thedynamics
over verylarge
times(up
to several 10~ time steps with doubleprecision numbers).
U processes thescattering
and the conversion of the output field into the newinput
field. A detailed discussion of more standard numerical methods used tointegrated time-dependent equations
can be found in[2-4].
In the wave automaton, narrow
pulses
Ae'~
propagatealong
the bonds of a lattice(for
instance square ortriangular
in2D,
cubic in3D).
Theimpinging pulses
on each node of the lattice areinstantaneously
andsimultaneously
scatteredby
a zby
z S-matrix(where
z is the coordinate
number)
in the time domain intooutgoing pulses
which thenpropagate
in aunit time to the
neighboring
nodes.Energy
conservation and invariance withrespect
to time- reversalimply
that the S-matrices must beunitary
andsymmetric.
For anisotropic
square(2D)
or cubic
(3D) lattice,
each S-matrix isparametrized by
threecomplex
parameters:t
(the
transmissionamplitude
in the direction of the incident wavepulse),
r(the amplitude
reflected
along
the incidentbond)
and d(the amplitude
scattered in each channel atar/2),
whichobey
thefollowing conditions, it
~ +[r(~
+(z
2ii d(~
=
l,
and rt * + r* t +(z 2
(d(
~= 0 and
(r
+ t) d* +(r*
+ t* d +(z
4(d(
~= 0
(with
z= 4 in 2D and
z = 6 in
3D).
In ourprevious
notationill,
for the 2D case, t =e~'" [cos
6+
1]/2 (la)
r =
e~'" [cos
61]/2 (16)
d
=
(i12) e~'"
sin 6(lc)
where 0
w 6 w ar and 0
w a w ar are real
parameters.
The parameter 6 is a measure of thescattering strength
anda is a measure of the
phase
shiftacquired by
the wave at each encounterwith the scatterer. For 6
=
0,
the S-matrix is transparent and the wave crosses over the nodekeeping
the same direction whiletaking
aphase
shiftequal
to 2 a. This is the lD-limit since the 2D lattice can be considered as a set ofindependent
horizontal and vertical lines on whichwaves propagate without distorsions. At the other extreme 6
= ar, the reflection coefficient is
equal
toe~'"
and is of unit modulus whereas all other processesdisappear,
The nodepossessing
such an S-matrix isperfectly reflecting. Varying
6 between 0 and ar then allows us toweight
thestrength
of the threescattering
processes(transmission,
reflection andar/2
scattering) continuously.
A
given
system will then be definedby
the set of 4by
4unitary symmetric
S-matricesparametrized using equation (I),
with one S-matrix per node, I-e- onecouple
(6, a per node.The case where all the S-matrices are the same on all nodes
corresponds
to aperiodic
system, which was studied in detail in ourprevious
paperii ].
Aquenched
random system is definedby
a set of S-matrices, one for each node, with random choices for the real
parameters
a and 6. We can also choose to take the same 6 for all matrices and take random choices for
a. The latter model has the
advantage
that all S-matrices havethe_same scattering efficiency (same scattering
crosssections)
and differonly by
thephase
shift takenby
a scattered wave.Thus,
theemphasis
is put on the wavephase,
which tums out to be useful tostudy
Andersonwave
localization,
aphenomenon deeply
associated withphase
coherence. This is the choice that has been made in ourcomputations reported
below. Theparameters
of the model for agiven
random system are thescattering strength
6 of the S-matrices and the widthha in which the random
phase
a, which israndomly
chosen from one node to another :a e
[-
ha + ha].
A
significant advantage
of our model is that it can beeasily implemented
on SIMDparallel
architectures(in that,
it is of course notunique).
Infact,
itsparallelisation
is obvious : each virtual processor of the machine is associated with a scatterer at a node of the square lattice and allscattering
processes areperformed simultaneously.
This allowslarge
2D system sizes(up
to 024by
024 on a 32 K ConnectionMachine)
to be used. These are useful to minimize finite size effects and to observe all the differentregimes
of timepropagation
withgood
a accuracy.It also makes reasonable the future
study
of 3D system of sizes of order128~.
The «Wave Automaton» was
implemented
on the Connection Machine(CM200)
ofI-N-R-I-A-
(Sophia-Antipolis)
and the CM2 of the IPG(Paris).
A first sequence generatessimultaneously
the S-matrices, calculated forgiven
values of thescattering strength
6 and the disorder parameter ha. We recall that in most of our
computations
thescattering strength
6 is the same for all the S-matrices in the lattice when not otherwisespecified
and the randomphase
a israndomly
anduniformly
chosen from one node to another in the intervala e
[- ha,
+ ha].
The set of S-matrices is then stored on theDatavault,
theparallel
memoryof the CM. Note that one could also
easily
generate a different set of S-matrices at each time step in order tostudy
wavepropagation
in timedependent
disordered systems, such as inturbulent media. This
problem
is left for future studies.The second step of the
computation
is thedynamic
sequence. A vector of 2 L~ components(for
wavespropagating
ononly
one of the sublattices[I])
is constructed to describe the fieldentering
the four bondssurrounding
theL~/2
scatterers. A second vector of 2 L~ components is also constructed to describe theoutgoing
field on each node after thescattering
process. Theparallel
computerperforms L~/2
matrix-vectorproducts simultaneously. Then,
theoutgoing
vector becomes the new
input
vectorusing
asimple
shift to the next fourneighboring
scatterers. Since the time
consumption
of firstneighbor
communication isnegligible
on the CM2architecture,
thespeed
of the programdepends only
on the timeconsumption
associated with thescattering
process(matrix-vector products).
The program reachestypically
IGigaflops
whenworking
on two sequencers(16
Kprocessors)
on a CM200. The additionalcalculations of other
physical quantities,
such as the radius ofgyration
of the wavepacket, slightly
slow it down.Finally,
one has the freedom of the initialconditions,
I-e- how the wave energy isinjected
within the system. We have worked
by launching
either a fieldimpulse
in time and space(I.e.
we fix the field at the
origin
of time and space and then let the wavepropagate),
thusexciting
the whole range of the spectrum, or
by launching
a wavepacket
of width Am centered around aspecific pulsation
wo,enabling
thestudy
of thedynamical
interaction of a few modes whichare
spatially
localized in theneighborhood
of theinjection
site.Computations
with such wavepackets
havepermitted
a test of weak localizationpredictions
in the time domain[5] (see
Sect. 3below).
We have also used a source localized on one site andoscillating
at somespecific pulsation
wo, chosen to be aneigenfrequency
of the system(the eigenfrequencies
areobtained
by
Fourier transform of along
time sequence of the field at theorigin,
in the case where animpulse
is launched(see below)). By increasing
veryslowly
theamplitude
of thesource at wo, one can thus construct the
spatial
structure of theeigenmode
atpulsation
wo.
In section 2, we treat the case of the interaction of a Bloch wave with a
single impurity (corresponding
to a different S-matrix on one node in a « sea » of identicalS-matrices).
The scattered Bloch wave is calculatedanalytically
which allows us to derive the elastic mean free time r and mean freelength i~
as a function of the modelparameters
and thefrequency f
=
w/2 ar. These parameters are used in the next section
(Sect. 3)
to comparequantitatively
the numerical results of wave
propagation
in random media withpredictions
from weak localizationtheory.
In section3,
we describe the different results that have been obtainedusing
extensive numerical simulations of wave
packets
in random media. Weparticularly study
the differentregimes (ballistic, diffusive, localized)
which appear as the wavepackets spread
overthe random media and compare these numerical results with weak localization
predictions.
2.
Weakly
disordered systems.We consider the case of
quenched
disordered systems, obtainedby choosing
thephase
a
independently
from node to node andrandomly
in the interval[-
ha, + ha ], while stillkeeping
the parameter 6 identical in all S-matrices. ha is then a measure of thestrength
of the disorder : if ha is close to zero, the disorder is weak ; when ha is close toar/2,
the disorder is maximum. In order toanalyse
the weak disorderlimit,
it is also useful to consider disordered systems constructedby
randomdilution,
I.e. whererandomly
chosen nodes atlarge
distances from each other possess a S-matrix with a differentphase
a' from the rest of the nodes which have all identical S-matrices. This structuregives
sense to the limit of well-defined Blochwaves
interacting
with isolated scatterers. The mean freepath f~ (or equivalently
the mean freetime r~
=
i~/c)
which is thekey
variable to characterize a random system in ageneral
way, then takes thesimple meaning
of the effectivelength
between efficient interactions between the Bloch modes and the scatterers(note
thatf~
is ingeneral
muchlarger
than the distance between scatterers since asingle
scatterer is often too weak to scattersignificantly
the incident Bloch off itspropagation direction).
Atlengths
smaller thanf~,
the wave isessentially propagating
: its energy travels at an averagespeed
c of the wave in the medium and the scatterers have not yet made asignificant
contribution except forrenormalizing
the effectivevelocity [6].
Theregime
where one considers scalesjr
less thanf~,
such thatf~
WA thewavelength,
is called the weak disorderregime.
A first estimate of the
dependence
of the mean freepath f~
on the parameters6 and ha can be obtained in the limit of small
scattering strengths
6, such that the modulus of the transmission coefficient is close to one. In this case, thear/2-scattering
events are weak(of amplitude
of order6)
and the lattice can be considered as a set of horizontal and vertical lines which areweakly coupled transversely. Selecting
a direction ofpropagation along
one of the axe, sayOx,
thepropagation along
Ox is thenapproximately
described at scales less thanf~ by
thetight-binding equation (t((W~~j+ W~_j)+V~ W~= 0,
where thehopping
coefficient is identified with the modulus t
=
cos~
6/2 of the transmission coefficient and the on-sitepotential V~ is, according
to the Fermigolden rule, proportional
to the square root of thescattering
cross section «~ = l-cos~
6/2(Eq. (13) [1]).
We can then use the lDexpression
for the mean freepath [7]
f~
= 4it (~sin~ (k(/[(V() (V~)~] (2)
where
( )
means anaveraging
over the disorder in the realizations of a. We estimate the term(V() (V~)~ by writing V~
=Vo[I cos~ 6/2]'~~ e~'"~,
since all thescattering amplitudes
are
proportional
toe~'"~ Assuming
a uniform distribution ofa in the interval
[-
ha, + ha],
we obtain
(v2j jv j2
~
VI [I cos~
6/2( (sin
2 ha)/2
ha)
~n n
(sin
4 ha)/4
ham
(4/3 ) V( it cos~
6/2(ha
)+~for small ha. This
yields
f~
m(3/V( ) sin~
k (ha )~~cos~(6/2)/ it cos~
6/2(3)
Expression (3)
shows thatf~ diverges
asf~ (ha
)~~ 6 ~ for small ha and 6. Other more refinedcorrespondences
with the lDtight-binding
model recover thisleading
behavior. Thissimple reasoning
is however insufficient to describe thedependence
of the mean freepath
as afunction of the Bloch wave directions of
propagation.
We now describe the
analytical
calculation of thescattering
of a Bloch wave ofarbitrary
wavevector k and a
single
isolateddefect,
which will allow us to evaluate the elastic mean free time r~. In aperiodic
system, anypropagating
wave at agiven pulsation
w can be described as
a linear combination of Bloch waves
A(k, r) (with
w = w
~k)),
the 4 n~ components of each Bloch waveA(k,
r) being given by equations (16)
and(26)
of ourprevious
paper[I al.
We introduce aperturbation
in the medium, the S-matrixS~
isreplaced,
on one node(I, j ), by
a different S-matrixS~, (with
a' #0).'Any
Bloch waveA(k,
r
) encountering
this defect at time r, is scattered into a « scattered wave » :B(k,
r + I). B(k,
r + I can bedecomposed
into a linear combination of Bloch waves of theunperturbed
system :B(k,
r + I)
=
£ (A(k',
r + I)(B(k,
r + I)) A(k',
r +1) (4)
k.iw w ik.))
B
(k,
r + I)
is in fact almostequal
to A(k,
r + I),
except for the fact that the four local fieldsimpinging
on the fourneighboring
nodes of nodeii, j
are different from those deduced fromthe structure of
A(k,
r + I)
due to thescattering
process with the matrixS~,
#S~,
Thecomplete expression
ofB(k,
r +I)
isgiven
inappendix
A. The fundamentalhypothesis
which allows us to consider
B(k,
r + I)
as the scattered Bloch wave is theassumption
ofsingle scattering,
I.e, that the wave interactsonly
once with the defect. This means that the four waves, which have been scattered offby
the defectS~,
at node(I, j ),
will never encounteragain
the defect S~< but willonly
see theunperturbed
S-matrixS~
on all nodesincluding (I, j ).
This condition expresses the limit ofsingle scattering
taken in thiscomputation.
Knowing
the fullexpression
of the scattered wave B(k,
r + I),
we are now in aposition
toderive the
expression
of the mean free time r~. The first step is to define the relativeweight
P of the
scattering
from the Bloch waveA(k, r)
to the Bloch waveA(k',
r +I)
at timer + I,
by
the defectS~,
on node(I, j ).
It isgiven by
P
=
l~~~'~
~ +~'~~~~
~ +~l '~ (51
£ (A(k',
r + I)(B(k,
r +
1))
(~kjw =w(k,~,
The denominator allows us to normalize the
weight
tounity
whensumming
over alloutgoing
Bloch waves,expressing
the conservation of the energy.We are interested in
computing
the so-called transport mean free time or mean freepath,
which will be of use in section 3 for
calculating
thetransport properties
of the wave in random media. In order to obtain the transport mean free time, we need tomultiply
theweight
P for the
scattering
from channel k to channel k'by
the factor(I -cosok,,k)m (I-k.k'/(k((k'(),
whereo~,~
is theangle
between the two wavevectors k and~,
~'k',
k " ~'
(1
CDS°k', k) (~)
This factor puts a zero
weight
to the forwardscattering
andgives
a maximumweight
to the backwardscattering.
It takes into account the fact that the forwardscattering
does notcorrespond
to a truescattering
event[6].
To get the total fraction of the wave which has been scattered in all directions except the
incident one, we add all the contributions for the different
outgoing
channels k'and obtain~'k
~
i
~k', k ~~~
k'
After one
scattering
event, the energy left in the k direction is then(I P~).
Let us now consider an
initially periodic
medium in which all the sites areslightly
modified to carry a matrixS~
#S~,
with small random a'. In the limit where theperturbation
createdby
the modification
a'#
0 isweak,
we can use thesuperposition approximation
over all theelementary scattering
processes encounteredby-the
initial Bloch wave.Then,
the energy jn thek direction on the Bloch wave
A(k, r)
after the time r is decreasedby
the factor(I
P~)~~~~ m exp
(-
P~ v
~~ r in the limit of small P
~, where v
~~ is the
phase velocity
of the Bloch waveA(k). Indeed,
theproduct v~~
rgives
the number of sites encounteredby
the Bloch wavealong
a line ofpropagation
in the direction k, per unitlength
of the wave front.This allows us to define the transport mean free time r~ as
~k ~ [V#k ~ k1
(8)
r~ represents the characteristic
decay
time of the Bloch wavepropagating along
direction k due to the presence of disorder. Note thatequation (8)
with(5)
isnothing
but theadaptation
of theFermi
golden
rule to the presentproblem.
The transport mean free time
r~(w)
of the disordered medium for agiven pulsation
w is
given by averaging
thedecay
rateI/r~
over all thepossible
incident directions k and over the disorder(a'e [-
ha, ha]).
This reads~e
W
) l~k k
a'E [- ha, ha
~~~
where
N~
represents the total number of wavevectors k whichverify
thedispersion
relationw(k)
= w for a fixed value of
w. The transport mean free time
r~(w)
is the average characteristicdecay
time of waves atfrequency
w. It will be used in section 3. We do notpresent
thegeneral
case ofarbitrary pulsations
w but restrict our attention to the range of w such that thedispersion
relation isquadratic,
and thusequivalent
to atight-binding
orSchr6dinger equation.
This will allow us to use theprediction
of weak localizationcalculations,
which are availableonly
in the case ofquadratic dispersion
relations[5].
In theparametrization
in terms ofa and 6 in the wave automaton, pure
quadratic dispersion
relations existonly
when the two brailchesgiven by equations (20a)
and(20b)
or(22a)
and(22b)
ofreference
[la]
can beseparated.
This occurs when a gapexists,
I.e. for 6 ~ ar/2. We also restrict our attention to values ofw close to and less than the band
edge
valuew*
= ar 6. This
yields
a number of domains for k= (k~, k~.) over which the sum in
equation (9)
must beperformed.
These domains are defined inappendix
B. Someimportant
but tedious
steps
of the summationleading
to the finalexpression
ofr~(w)
aregiven
inappendix
C. The series ofintegrals
mustfinally
beperformed numerically.
Infigure
is shown the result of thesecomputations
where r~(w
is drawn as a function of w, in theneighborhood
of the band
edge
where the calculation holds. The transport mean freepath
can then beobtained since it is
just
theproduct
ofr~(w by
the average wavevelocity
c at thepulsation
w. Note that the
computation presented
infigure
I is validonly
in thevicinity
of the bandedge.
3. Sub-diffusion and wave localization.
We now present our main numerical results obtained
by implementing
the wave automaton on a Connection Machine.Figure
2 shows a series ofsnapshots
at differentincreasing
times of the~(~°) bmo.5n
Aum0.ln~
ova
0.1 0.2 0.3 0.4 0.5
Fig.
I.Dependence
of the transpon mean free timer~(w
), obtained from thetheory developed
in the text, as a function of thepulsation
w for 3= 0.5 ar and ha
=
0. I w. The
analytical
calculation is only valid near the bandedge,
w=
0.5 ar.
wave
intensity
field within a random system with 6=
ar/2 and ha
=
0. I ar, after
launching
atthe center of a system
(the origin)
of size 512by
512 at r=
0 a narrow Gaussian wave
packet
of central
pulsation
w= 0.47 ar and width Am
= 0.005 ar
(corresponding
to a mean freepath f~m10).
Forcomparison figure
3 shows the same series ofsnapshots
under the sameconditions except that the wave, which is launched at the
origin,
consists in a Diracimpulse.
Infigure
2, a much smaller number of modes are excited whereas all modes in the system whichoverlap significantly
with theorigin
are excited infigure
3. Infigure 3,
weclearly
observe threeregimes
thespreading
of the wavepackets
is first ballistic for r w 20 less than the elastic mean free time for 20 w r w80,
one can still observe the ballistic front whereas most of the wave energy has been scattered off and becomes diffusive. This ballistic-diffusive cross-over cannot be observed in the case of the wave
packet (Fig. 2)
because the source remainsactive over a time
longer
than the elastic mean, free time. Theanalysis developed
below will show that the diffusiveregime
is in fact subdiffusive. At muchlonger
times of the order of10~,
the wavesfinally
become localized. It isinteresting
to note the difference between thestructures of the wave field at
r =
10~, represented
infigures
2 and3,
for the Gaussian wavepacket
and for the Diracimpulse.
The wave field is much more structured in the case of the Gaussian wavepacket,
due to the fact that a much smaller number of modes have been excited.These observations are in
qualitative
agreement with the standardpicture
of wave transportin random media
[8-10], according
to which the wave is ballistic at scaleslonger
thanf~,
diffusive at scaleslarger
thani~,
until one reaches the localizationregime
at scaleslarger
than the localization
length
f. In order to exist, the thirdregime
of Anderson localization needsa
sufficiently
strong disorder[8-10],
jn dimensionslarger
than two. The presentunderstanding
is that waves are
always
localized in two and less dimensions[8-10].
Inpractice however,
theAnderson localization will be observed
only
when thesystem
size islarger
than the localizationlength
f,which,
in our systems, is a function of 6 and ha.Since
figure
3corresponds
to alarge superposition
of excitedmodes,
a kind of self-averaging
occurs andonly
theglobal
features of the transport are observed. This isparticularly
clear
by taking
the Fourier transform of the waveamplitude
timedependence
at theorigin,
asrepresented
infigure
4a for theparticular
choice of parameters 6= 0.9 ar and ha
=
0.2 ar.
This choice of parameters entails a very short localization
length
of the order of a few latticemeshes.
Therefore,
the Diracimpulse
excites all modes whose locations are within alocalization
length
of theorigin.
Becausethey
arerelatively few,
well-definedpeaks corrbsponding
to theeigenfrequencies
can be observed. Note that the Fourier transform of thesame
signal
as for the Diracimpulse
shown infigure
3 wouldgive
such a dense system ofpeaks
thatthey
would form a very dense system ofpeaks
on this scale 0.25 wf
w 0.25 due to the muchlarger
number of modes which are excited in this case.Figure
4b presents the Fourier transform of the time evolution of a Diracimpulse propagation
on aperiodic
systemJOURNAL DE PHYSIQUE T 1 N's JUNE 1991 4~
with 6 =0.9ar and ha =0. The
eigenfrequencies
form a dense set in the interval 0.05 wf
w 0.05(as expected
thepassing
band width is 0, I ar(see
Ial ).
Note that the effect of disorder is topopulate
the stop bands of theperiodic system. Very sharp peaks
can be observed centered on theeigenfrequencies
of the random system. We note that thedensity
ofpeaks
defines anearly
constant averagedensity
of states(the
averagespacing
betweenneighboring peaks
seems to beindependent
of thefrequency).
This wasexpected
since thea)
b>
Fig.
2. Series of snapshots at differentincreasing
times of the wave intensity field within a random system with 3 = ar/2 and ha = 0. I ar, afterlaunching
at the center of a system (theorigin)
of size 512by 512 at r =0 a narrow Gaussian wave
packet
of centralpulsation
w= 0.47 ar and width Am
= 0.005 ar.
Figures
a to d arecloseups
which showonly
a small central pan of the system. Thefigure
shows the entire lattice. a) r = 500 hi r = 1000 cl r
=
lo 000 d) r
=
lo 000
showing
the entire lattice. Note that the lattice infigure
2d hasnothing
to do with theoriginal
lattice but is drawn for thepurpose of
representation.
Fig.
2c.cn
I
q
a
lit jg§
~j~ j§f
j ~j y9 j
Fig.
2d.density
of states in theperiodic
case isalready
constant for 6 w w w ar/2 and does not varysignificantly
except near w = 0, as seen infigure
8 of reference[I al.
We have verified that the distribution ofspacings
6w between consecutiveeigenpulsations
isPoissonian,
in agreement with thegeneral theory
of random matricesill].
This result is well-known in lD random systems and is characteristic of localized modesit 2].
It is thusinteresting
to confirm that thePoissonian distribution seems robust in
higher
dimensions.Physically,
the Poissonian nature of the distribution of levelspacings
stems from thesuperposition
of manyquasi-independent
sub-systems
of size of the order of the localizationlength.
In contrast, a much smaller number of modes are excited in the case of
figure
2 and thecomplexity
of the observedintensity
field thus reflects that of theeigenmodes.
To illustrate thispoint
further,figure
5 shows the waveintensity
field of a pureeigenmode
atfrequency f
=
0.228714 in the case 6
=
0.5 ar and ha
=
0.3 ar, obtained
by using
a sourceplaced
at theorigin
which oscillates at thepulsation frequency f
=
0.228714,
and whoseamplitude
has been increased from zero veryslowly
over along timespan
ATm
10~
in order to minimize thenumber
(~10~~
L~zw10)
of excited modes in thefrequency
rangehf m10~~
around thea)
hi
Fig.
3. Same as infigure
2 except that the wave, which is launched at theorigin,
consists in a Diracimpulse.
Figuresa to f arecloseups
which show only a small central part of the system.a) r = 20 b) r
=
40 c) r
=
60 d) r
=
80 e) r = 100 f~ r = 200 ; g) r =
10 000 for the entire lattice. The vertical scale has been enhanced by a factor lo in
figure g).
Note that the lattice shown infigure
3g has nothing to do with theoriginal
lattice but is drawn for the purpose of representation.Fig.
3c.Fig.
3d.Fig.
3e.Fig. 3f.
lit jg§
~j~ y§f
j l~j jy9 j
Fig.
3g.,~o io'~
10~~
io'~
10
10'~~
-0.25 -0.20 -0.15 -0,10 -0.05 0.00 0.05 0.10 0,15 0.20
irequencu
a)
Fig.
4. a) Fourier transform of the waveamplitude
timedependence
at theorigin
as a function of the frequency fin the case 3=
0.9 ar and ha
=
0.2 w. b) Same as a) but in the
corresponding periodic
lattice 3
=
0.9 ar and ha
=
0.
lo"
(0'~
~-e
IQ ~~
j~-i~
-0.25 -0.20 -0.15 -0.10 -0.05 0.00 0.05 0.10 0.15 0.20
ire
uenqqFig.
4b.~ j
q
it ji
ij it
j l~ jl j
Fig.
5. Waveintensity
field of a pureeigenmode
offrequency
f= 0.228714 in a random system with 3
= 0.5 ar and ha
= 0.3 ar.
frequency f
=
0.228714.
Then, keeping
the sourcefunctioning
over along
timem
10~
ata
constant
amplitude
allows us toamplify
the modelinearly
in timeby
resonance atf
=0.228714,
whereas all the other modes which may have been excited have theiramplitude
remain constant. We check that the obtained wave field
corresponds
to thesingle
mode atf
=
0.228714, by
Fouriertransforming
the waveamplitude
timedependence
at theorigin
afterthe source has been
finally
cut down. One indeed observes the existence of asingle peak
ofintensity
~10~
above all others. Moredirectly,
weverify
that allpoints
of the lattice oscillate with the samefrequency f. Although
we have not carried out aspecific study
of thespatial properties
of theeigenmodes,
thespatially
intermittent structure of theeigenmodes
with the presence ofquite
many different scales is inqualitative
agreement withprevious
studies 113]
which have shown that the localized
eigenmodes
are fractal and may be even multifractal up the cut-offlength imposed by
the finiteloca(zation length f.
Figure
6 shows the radius ofgyration
or mean square widthR~ ~~~
= ~ W
jr jr
~ W(r
~ "~ of thespreading
wavepacket
as a function of time up tor=10~
launched froman initial Diract
impulse
at theorigin,
for 6=
0.83 ar and ha
= 0.I ar for two
boundary
conditions :periodic (upper curve)
and open(lower curve).
Note that the two curves are
indistinguishable
except at thelargest
times at which the tails ofthe wave
packet
reach the system border.Here, (R~(~'~
is notaveraged
over different realizations of the disorder butcorresponds
to asingle specific
realization. The observed self-averaging
stems from thesuperposition
of the hundred of thousands modes which are excited in thisconfiguration
and whichoverlap
on thefrequency
axis for times less than the inverse averagespacing
betweeneigenfrequencies.
Atlonger times, beating
becomessignificant.
For systems withlarger
disorders so that the number of modes in a localization volume islargely decreased,
we also observesignificant
fluctuations of(R~(
"~ as a function of time.~
~
~76.7 j
~~ 10
~
~
u1
e
(
i oi o~
io~
io'
io~ i o~
TIME
Fig. 6.- Radius of
gyration (R~("~
=
(~ V'(r)( jr
(~(V'(r)~ ("~
as a function of time up tor =
10~ (the inverse bandwidth
corresponds
to r 2) for 8= 0.83 ar and ha
= 0. I ar for two boundary conditions
periodic
(upper curve) and open (lower curve).Instead of the usual diffusive behavior
expected
at scalesi~
<jr
<f,
we observe a sub- diffusivedynamics
in which the mean square width(R~
of an initial narrowpulse
launched atr =
0 scales as
(R~
r ~~, with anexponent
v = 0.45significantly
less than 1/2 andvarying continuously
as a function of the disorder. This observation of a sub-diffuseregime,
with an exponent v w1/2,
allows to us refine the standardpicture
of localizationaccording
to which awave
packet
diffuses at short times beforerealizing
it istrapped
as in an effectivecavity
of sizegiven by
the localizationlength.
The observation of such a diffusiveregime
haspreviously
been announced in numerical studies in
[14]
andpredicted
on the basis of weak localization calculations in[5].
In order to understand better this subdiffusiveregime,
infigure
7 we report thedependence
of(R~
'~~ as a function of time for different values of thescattering strength (same
ha=
0.4 ar and
increasing
6by
0. ar units from 0. I ar to 0.8 ar from top to bottom.All curves are characterized
by
threeregimes, I)
ballistic at very short times for(R~ '~~ ~
i~, 2)
sub-diffusive at intermediate times forf~
wR~
'~~w
f
and3)
localized atlong
times. For the smallest 6, the localized
regime
is not observed since the localizationlength
islarger
than the system size. For thelargest
6, the subdiffusiveregime disappears
since localization occurs at the scale of the lattice mesh. Thedependence
of v as a function of 6 is shown infigure.
Theexponent
v decreases from its classical diffusive value 1/2 as thescattering strength
increases.~ CJ
p
2°9 ' how.4«CtS
~
cD ~o 6~
~ lo
c
Il
u1 II io~ io~ io~ lo' io~
TIME
Fig.
7.Dependence
of (R~( "~ as a function of time for different values of the scatteringstrength
(same ha=
0.4 ar and
increasing
3by
0. ar units from 0.I ar to 0.8 ar from top to bottom).°.6V
,
Aa@.4n
DA 0.3 0.2
,
~~.2
0.3 DA0.5 0.6
0~7~~~
Fig.
8. Dependence of v as a function of 8 (habeing kept
fixed) in the case where a Diracimpulse
is launched at theorigin
(case represented inFig.
7).This subdiffusion stems from weak localization effects.
Indeed,
consider the weak localization formula for the diffusion coefficient atlarge
scale L of a wavepacket
centered onw :
D(L)
=
Doll (2 wr~)~' Log (L/f~)],
wherer~(w)
is the characteristicdecay
timecalculated in
equation (9). Taking r/r~ (L/f~)~,
thisyields D(r
=
Doll (wr~
)~'Log (r/r~)]. Using (R~(
= 4 D
(r
r, we recoverprecisely
the timedepen-
dent weak localization
perturbation
calculations[5]. Using
the fact that to first order, I(wr~)~
'Log (r/r~)
m
(r/r~)~
'~~~~, we thus obtainv =
1/2