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Submitted on 1 Jan 1987
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Invariant-imbedding approach to localization. II.
Non-linear random media
Benoît Douçot, R. Rammal
To cite this version:
Benoît Douçot, R. Rammal. Invariant-imbedding approach to localization. II. Non-linear random
media. Journal de Physique, 1987, 48 (4), pp.527-545. �10.1051/jphys:01987004804052700�. �jpa-
00210467�
Invariant-imbedding approach to localization.
II. Non-linear random media
B. Doucot and R. Rammal
Centre de Recherches sur les Très Basses
Températures,
Centre National de la RechercheScientifique,
BP 166 X, 38042 Grenoble
Cedex,
France(Requ
le 22septembre 1986, accepté
le 21 novembre1986)
Résumé. 2014 On utilise une méthode de
plongement
invariant pour écrire uneéquation
aux dérivéespartielles
décrivant le coefficient de réflexion par un milieu désordonné non linéaire de
longueur
L. La méthode descaractéristiques
réduit cetteéquation
à unsystème dynamique.
On moyenne l’effet du désordre sur les orbites afin d’étudier la loi deprobabilité
deR(L).
Deux cas sont considérés: sortie fixée W0(problème A)
et entrée fixée(problème B).
Pour unegrande
classe denon-linéarités,
le comportementgénérique
pour leproblème
A est commesuit:
i)
pour une faiblenon-linéarité,
unchangement
derégime
entre une décroissanceexponentielle
de latransmission
t> ~ exp ( - L/4 03BE)
à faibleL,
et une décroissance en loi depuissance à grand
L, seproduit
à uneéchelle de
longueur L*= 03BE
In(1/W0), ii)
pour une fortenon-linéarité,
le comportement est une loi depuissance
enL.
L’origine physique
est attribuée au renforcement des non-linéarités par le désordre. Pour leproblème
B, le comportementasymptotique
esttoujours
une décroissanceexponentielle.
Les fluctuations associées aux différentsrégimes
sont étudiées. Le cas d’une non-linéarité aléatoire est considéréaussi,
où unphénomène d’auto-répulsion
estmis en
évidence, à
une distance finie.L’importance
de nos résultats pour des situationsexpérimentales
estbrièvement discutée.
Abstract. 2014
By employing
aninvariant-imbedding
method apartial
differentialequation
is derived for thecomplex
reflection
amplitude R (L )
of a one-dimensional non-linear random medium oflength
L. The method ofcharacteristics reduces this
equation
to adynamical
system.Averaging
of theperturbation
of orbitsby
weak disorderis used to
investigate
theprobability
distribution ofR (L).
Two different situations are considered : fixed output w0(Problem A)
and fixedinput (Problem B).
For alarge
class of non-linearities thegeneric
behaviour for Problem A is as follows :i)
For weaknon-linearities,
a crossover between anexponential decay
of transmissiont> ~ exp(- L/4 03BE)
at short L and a power lawdecay
atlarge
L is shown to takeplace
at alength
scaleL * = 03BE
In(1/w0), ii) Strong non-linearities
dominate the full behaviour andgive
rise to a power lawdecay.
Thephysical origin
of this behaviour is traced back to the enhancement of non-linearitiesby
disorder. For Problem B, theasymptotic
behaviour is shown to bealways
anexponential decay.
The fluctuations associated with bothregimes
areobtained. Random non-linearities are also
investigated
and shown to lead to aself-repelling phenomenon
at finitedistances. The relevance of our results to
experimental
situations isbriefly
discussed.Classification
Physics
Abstracts03.40K - 42.20 - 71.55J
1. Introduction.
Up
to now Anderson localizationphenomena
havebeen studied
mainly
in linear random media[1].
Anatural
question
then arises : whathappens
in amedium where both randomness and non-linearities
are relevant ? In the first paper
(hereafter I)
of thisseries
[2],
thesimplest
form of thisproblem (wave
transmission across a non-linear
medium)
has beenaddressed where the basic
equations
have been derivedusing
aninvariant-imbedding
method[3].
In this paper,we
analyze
thisproblem,
for alarge
class of non-linearities, by looking
at thepossible
modifications due to the presence of non-linear terms in the wave fieldequations.
Ourapproach
will be limited here to 1Dproblems
and we leave the extension of the results to other cases for a future work.We describe the
system
which we have studiedby
thegeneralized
non-linearSchr6dinger equation,
for thecomplex amplitude
of the fieldqi (x, t ) :
Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphys:01987004804052700
where
f( I q, 2)
is anarbitrary
function of theintensity
14,12
withf(o )
=0 ;
t is time andV (x )
is a real(or complex) regular (or random) potential. Examples
ofphysical phenomena
describedby equation (1.1)
havebeen
discussed in I. We considerequation (1.1)
for aone-dimensional case,
corresponding
to aplane- layered medium,
whichoccupies
theregion
0 x -- L.Outside this
region, V (x )
= 0 andf =
0. As inI,
weonly
consider thestationary regime, corresponding
tosolutions of
(1.1)
of theform : ci (x, t)
=eik2t q> (x), where k2 =
E is the wave energy. This leads to thefollowing equation
for cp(x) :
Here,
the function E isgiven by
Let now a
plane
wavelpo(x)
= Ae ik(L - x)
be incidenton the
layer
from theright.
Then the solution of(1.2)
can be
represented
in the formlp (x)
=Au (x),
whereu (x )
satisfies a similarequation, involving
theintensity
w
= A 2
of the incident waveand u(x)2.
To theright
and left of thelayer,
the wave field has the form :where
R (L, w )
andT(L, w )
are thecomplex
reflectionand transmission coefficients
respectively.
The wavenumber k is assumed to be the same inside and outside the
layer.
This restrictioncorresponds
to anapproxi-
mation where the creation of other harmonics is
neglected.
The main
object
of this paper is to answer thefollowing question :
how can non-linearitiesmodify
theusual
[1] exponential decay
of transmission(t) ~ exp (- L/4 )
due to the enhancedbackscattering
mechanism induced
by
disorder ? To ourknowledge,
such a
question
has never been studiedbefore, except
in the recent workreported
in[4, 5].
Due to the non-linear terms in
(1.2)
all thetechniques
used in linearproblems (i.e.
atf
=0)
seem to failcompletely
in thepresent
case.Furthermore,
in contrast with linearproblems
where thesuperposition principle holds,
thetransmission
problem
is nolonger uniquely
defined : ina
large
number of cases,including
the non-randomlimit, ambiguities
arise withpossible bistability
andhysteresis phenomena [6]. Despite
these intrinsic dif-ficulties,
there is one method to obtain a closed solution for reflected field(i.e.
reflectioncoefficient).
For realpotentials V(x), R 2 + IT 12.= 1
holds and then infor- mation ont - 1 TI
can be deducedfrom 1 R 12 =
r =1- t.
Making
use of the invariantimbedding idea,
we have shown in I the
possibility
ofreducing
thecalculation of
R (L, w)
to an initial-valueCauchy equation,
relative to theimbedding parameters, namely
the
position
L of theright-hand layer boundary
and theintensity w
of the incident wave. The field at theboundary,
1 +R (L, w )
is describedby
a closed non-linear
partial
differentialequation (Eq. (2.1) below).
This is the basic
equation
of ourapproach
and thepaper is
organized
as follows. Insection 2,
the mainsteps
of ourapproach :
the method of characteristics and the Hamiltonian formulation are described. We show inparticular
that twoproblems
are to be dis-tinguished :
transmission at fixedoutput (problem A)
and transmission at fixed
input (problem B). Using
adynamical system point
ofview,
these twoproblems
areinvestigated
in the weak disorder limit. In both cases, the method ofaveraging
theperturbation
of orbits[7]
isused to obtain the behaviour of transmission as a
function of L and w. Problem A is worked out in section 3 and
problem
B in section 4. In section5,
thecase of non-linear randomness is
investigated.
In thefinal section
6,
some remarks will-begiven
about thegenerality
of our results and theremaining
openproblems.
2. Formalism and basic
properties
In the
previous
paper[2],
thefollowing equation
has been derived for the
complex
reflection coefficientR (L, w). Equation (2.1)
is aquasi
linearpartial
diffe-rential
equation, subject
to theboundary
conditionR (L
=0, w )
=0,
which allows for acomplete
solutionR (L, w).
It isinteresting
to notice that(2.1)
reduces toa Riccati
equation
at w = 0. In this limit one recoversthe linear case,
previously investigated [8] following
thesame line of
approach.
For a random
potential V (x ), (2.1)
can be viewed asa stochastic
equation, describing
the evolution of the« stochastic process »
R(L, w )
under the action of the«
multiplicative
noise »V (L ).
We recall that in(2.1),
erefers to the function
where
f(I (p 12 )
describes the non-linearities in thewave field.
Examples
off(u)
which are ofphysical
interest are :
In the
following sections,
we limit our attention toexemple i)
and this for the sake ofclarity.
Theremaining examples
can be worked outfollowing
thesame lines of
approach.
In contrast to an
ordinary
differentialequation
nosimple
Liouville-like theorem can be used here asusually
done[9]
for theprobability density
of theprocess.
Nevertheless,
one canproceed otherwise, by using
the method of characteristics[10].
In thissection,
we describe this
approach
in some detail.2.1 LIOUVILLE THEOREM AND PARTIAL DIFFEREN- TIAL EQUATIONS. - Let us first show that no
simple
Liouville-like theorem can be written for the calculation of the
probability density
of adynamical
variabledescribed
by
apartial
differentialequation (PDE).
Forthe sake of
simplicity,
we consider the case of onedynamical variable «/J (x, y )
and assumethat ci (x, y)
isthe solution of the
following quasi-linear
PDEIn
(2.3),
x and y can be viewed asgeneralized
« times »,a and
f are arbitrary
functions and the initial valuesof 41
are known
(Cauchy data).
Let us denoteby Q (t/J ;
x,y )
the
(probability)
measure associated with the evolutionof ci (x, y ).
For each instant(x, y)
andpoint qi
of thephase
space, one can define two currents :jx
andjy
in xand y
directions. Then(2.3) implies
One has :
and
which in
comparison
with(2.4)-(2.5)
leads toThe last
equation reduces,
in the case where y is absent forinstance,
to the well known Liouvilleequation [9].
However in the
general
case, where more than one« time axis » is
present,
there are additional drift terms,coming
from the flow in the other directions. In fact the current cannot be related to thedensity
in asimple
way. Therefore in contrast to
dynamical systems
de- scribedby ordinary
differentialequations, (2.7)
cannotbe closed and then no Liouville-like theorem can be used here.
2.2 THE METHOD OF CHARACTERISTICS. -
Equation (2.1)
isactually
aquasi-linear
PDE for thecomplex amplitude
of reflectionR (L, w). Taking
thereal and
imaginary parts (V (x )
isreal)
andR =
R1
+iR2,
one obtains asystem
of two PDEs :This differential
system
issubject
to theboundary
conditions :
Rl (L
=0, w )
=R2 (L
=0, w )
= 0. Theset of
equations (2.8)
can be shown[10]
to beequivalent
to a set of three
ordinary
differentialequations :
The first
(2.9a) gives
theequation
of the characteristicsw(L )
and(2.9b, c)
are the so-called relations on the characteristics. Theboundary
conditions are(Cauchy data) : R1 (L
=0, w)
=R2 (L
=0, w )
= 0. The aboveequations
allow for acomplete
solutionR (w, L )
for agiven
form of the function E. In thefollowing,
we focusour
study
to the cases describedby (2.2).
In these cases,a and
11 (L) = - V (L)/k2
will be scaled so that k = 1. Note however that moregeneral
situationsincluding
the case of random a can also be treatedfollowing
the sameapproach
as that described below.For the sake of
simplicity,
the randompotential V (x)
used in thenext
sections is assumed to be a Gaussian white-noise :and
Here
...>
denotes the average of the randompoten-
tial. Within this class ofmodels,
theexpression
of thefunction e
in(2.9)
becomes :A
straightforward algebra
shows that(2.9) imply
aremarkable
equation
for thecharacteristic
curves:where r
= R12 + R2.
Herew(0 )
= wo refers to the initialvalue of w at the
origin
L = 0. As will become clearbelow, (2.10)
is thekey
to understand thequalitative
behaviour of transmission. Note further that for random 17
(L ), w (L )
areactually
random curves(Fig. 1).
Fig.
1. - Atypical
characteristic(w, L),
obtainedby
numerical
integration
of(2.9) (wo = 0.1 )
forf(u)
= u andwith a white-noise
potential V (x ), corresponding
to a localiza-tion
length § =
45. The insert shows some orbits of thedynamical
system :(a)
wo = 1,(b)
wo =10 in the absence of disorder and(c)
aperturbed
orbitby
randomness.Using polar coordinates, R1
=r 1/2 cos 0, R2
=r1/2
sin0,
0 -- 0 -- 2 7r, r::--0,
one deduces from(2.9) :
Another
interesting property
of(2.11)
isprovided by
the existence of an invariant of motion.
Indeed,
let us consider the « time » evolution of r and6,
viewed asdynamical
variables(L being
the « time»),
on agiven
characteristics
w (L )
oforigin w (0 )
= wo. Let us denoteby :F (u )
aprimitive
of the functionf(u) : f(u)
=dY(u)ldu. Then, using (2.10)-(2.11),
it is easy toverify
thatis
actually
an invariant of themotion,
i. e.dF/dL
=0,
in the absence of the
potential
17(L).
Moregenerally,
for a constant
potential TJ (L)
= q,is an invariant of the motion.
The existence of the invariant
F(r, 0)
has asimple physical meaning (see below)
and allows for asimple description
of thedynamics [11]. Remembering
that forreal q
(L ),
1- r = t isnothing
else than the transmis-sion
coefficient,
two differentproblems
are to bedistinguished.
The first(problem A) corresponds
to thetransmission at
fixed output
wo, which arises if oneneeds a fixed power at the end x = 0 of the
layer.
Inthat case, one follows the influence of the
potential n (L)
onjust
one characteristics. The linearproblems belong
to thiscategory :
the characteristic curvebeing w (L )
= 0. The second one(problem B) corresponds
toa
fixed input
wand one has toperform
the calculation ofR (L, w ) by considering
all the characteristicspassing through
the chosenpoint (L, w ).
In the nextsections,
both
problems
will beinvestigated
and thecorrespond- ing
results are different.2.3 INVARIANTS AND HAMILTONIAN FORMU- LATION. - The existence of the invariant F can be traced back to the second-order differential
equation describing
the wave field inside the medium. The wavefield is
actually
acomplex number,
and there are twofirst
integrals.
The first one is the current and thesecond is
simply
the energy : F isactually just
the ratioof these two
quantities.
To seethat,
it is useful to usethe
impedance [12]
In terms of
Z,
the reflection coefficient R =R1
+iR2
isgiven by
R =(i
-Z (L ) )/ (i
+Z(L)).
The real(a)
and
imaginary (1/b) parts
of Z aregiven by
It is easy to see that the current
expression (wo)
is :In
particular
thisimplies I q, 12
=bwo
andsimilarly
onehas
I aqllax 12 = 14112 1 Z 1 2 = bwo(a 2+ llb 2).
Forthe class of
potentials
consideredhere,
the wave fieldequation
canactually
be derived from a « Hamil- tonian », which assumes thefollowing expression :
Using
the abovenotation,
it is very easy to check thatF (r, 0 )
isnothing
else than the ratio of this invariant to the current, up to a factor 1/2 and an additive constant term.The
previous
remarks allow us to write down aHamiltonian formulation in terms of the variables a and b.
Indeed,
in the absence of thepotential
n, theequations
of motion for a and b aregiven by :
where 2 F is
given by (2.12).
Forinstance,
forf(u)
=un, F (a, b )
assumes thefollowing simple
formMore
generally,
in the presence of thepotential V (x ),
Hamilton’sequations (2.15)
becomeThe
equation
of motion ofF,
in the presence ofV (x),
is alsosimple
and can be written as :It is
interesting
to notice that the use of theconjugate
variables a and b leads to a
simplified dynamical system,
rather than theapparently complicated
set ofinitial
equations. However, (2.17), (2.18)
are stillstochastic differential
equations,
with an additive noise for(2.17)
and amultiplicative
noise for(2.18).
3. Transmission at fixed
output.
In this section we
investigate
the behaviour of the transmission coefficient for a fixedoutput
wo. A familiarexample
of thisproblem
isgiven by
the fixedpoint
wo =0,
whichcorresponds
to the linear case[1] : (t) ~ exp (- L /4 § ), where prefers
to the localizationlength.
Theapproach
used here is that ofdynamical
systems. Indeed,
in the absence ofdisorder,
the rep- resentativepoint (r, 0)
exhibits aperiodic
motion onclosed orbits. The effect of a small disorder can then be considered as a
perturbation
of the orbital motion. This results in a randomperturbation
calculation ’of the orbits and the net effect can be followed on the Poincar6[7] sections,
on the real axis forinstance, r (o )
andr(ir).
It turns out that atlarge L, r(O) approaches
the attractivepoint
r= 1, 0
= ’Tr. In thislimit,
the orbital motion exhibits aslowing
down near0 cz:: 7T and a
rapid
revolution elsewhere. The main contribution of disorder comes however from theregions where 8 #
7T. Theappropriate
method tohandle this
perturbed
orbital motion isprovided by
thewell known
[7] averaging
of theperturbation
over eachperiod.
The mainobject
of the next subsections is arather detailed
exposition
of thisapproach.
3.1 ANALYSIS OF THE UNPERTURBED MOTION. - The
analysis
of thephase
spaceportrait
is facilitatedby
the
existence,
in the absence ofdisorder,
of thefollowing
invariant of motionIn the
present
case, theboundary
conditionr(L
=0 )
= 0gives : F(r, 6)
= 2 +aWö/2(n
+1)
which al-lows for a detailed
description
of the orbitsr(o ).
Consider,
forinstance,
the limit Wo = 00 . The orbital motion reduces to :rll2 = -
coso , § o 3 27r ,
andthe
corresponding trajectory
isgiven by
the circle ofradius
1/2,
centred at( - 1/2, 0) (see Fig. 2).
Fig.
2. -Typical
orbits(7?i, R2)
in the absence of the randompotential,
at wo = 00(a)
andwo > 1 (b) respectively.
3.1.1
Large
wo limit. - Forlarge wo > 1,
thetrajec-
tories are
strongly
modified near r = 1 and 0 = w. Infact,
in thatregion, 2/(1 - r)
in(3.1)
becomesdominant,
and a net deviation from the circular orbitresults. Indeed,
forlarge
wo, the circular motion is followed in alarge angular
sector:J; = - cos (J,
7T/2 -- 0 ,- 7T - ;T,
but in theremaining
sector,7r - iT
(J :s:: ir, the first term in(3.1) dominates,
andthe
trajectory
is describedby :
1 - r =4(n
+1)lwon.
Here §
denotes a small numbergiven by
The fixed
points
associated to thedynamical system
are located on the
negative
real axis 0=0 and aregiven by
the solutions ofd61dL
= 0 :In
particular,
forwo > I : rl/2 1 - 2(1/wö)1/(n + 2),
o = 0
gives
the fixedpoints
of thedynamics.
In termsof w =
wo/ (1 - r),
thiscorresponds
to : 1-r1/2 ~ w- n/2(n + 1).
Someexamples
of the orbital motion areshown in
figure
3.Fig.
3. - Orbital motion in thephase
space(r, 0),
0 -- r -- 1.
The
period
of motionLP
on the closedtrajectories
can be calculated from the
angular velocity expression (k =1 ).
Therefore
The main contribution to
Lp
isgiven by
the sectorr -
p
, 9 , r and then L 1w- n/2
In the remain-
w - § o
7T’ and thenk o
In the remain-ing
sector, the contribution toLp
iscomparatively
smalland can then be
neglected.
Note thatLp
becomessmaller and smaller at
large
wo and this in contrast with the other limitwo 1,
discussed below. Inparticular
this
implies
arapid
revolution of(r, 0 )
atlarge
wo.
The
aboveanalysis
of the orbital motion can be used to follow thepattern
of characteristics and then the surfacer(L, w).
Atypical
characteristic(w, L)
isshown in
figure 4,
where theperiodic
motion on theorbits is shown to induce a
periodic
oscillation of the characteristics. Theslowing
down of the orbital motion at 0 =z ir results in a flatbehaviour,
at w = wl =Fig.
4. -Oscillatory
behaviour of the characteristic(w, L )
oforigin
wo.These remarks are
actually
very useful insolving problem
B(see
Sect.4).
Infact,
in this case, w is fixedand we have to solve the
implicit equation
w =
wol (1 - r (L, wo ) )
for wo. This meansthat,
for a fixed level w, all the characteristicsstarting
at wo andsatisfying
thisequation
must be taken into account.From the above
analysis,
the relevant wo aregiven by : [4 (n + 1 ) w ] I / (n + 1) -.-
wo , w.Furthermore,
for fixedw, 0 r rmax, where
Therefore,
theprocedure
to be used for the calculation ofr(L, w)
at fixed w is thefollowing
one. Eachcharacteristic of
origin
wo, wo w w,generates
a sequence ofpoints r(L, w )
which isperiodic
in L. Theunion of all these sequences
provides
the desired solutionr(L, w),
which defines the reflection coeffi- cient at the chosen wand L. It isimportant
to noticethat the
period
in L is not the same for all the sequences. In fact each characteristic exhibits alarge
number of folds
(see Fig. 5)
which becomesimportant
at
large
L. Theperiod
of the maxima(8
=7T)
isgiven by: À [4(n + 1) w]- n/2(n + 1)
whereas theperiod
ofminima is : À W-
n/2.
Thisfolding
leads inparticular
tothe
following multiplicity
of folds :which increases with both L and w. As will be shown in section
4,
this behaviour of thedegeneracy
of folds is not alteredby
the presence of disorder.Fig.
5. -Folding
of the characteristic(w, L)
as a function of L.L.
andLM
are theperiods
of minima and maxima :Lm ~ aw-n/2, LM w-n/(2n+2)
3.1.2 Small wo limit. - In this
limit, r
remains in thevicinity
of theorigin
and F = 2 +a wfl/2 (n + 1 ).
Thisleads to the
following equation
for the orbits :r lt2 =
-
a wo cos 0 /2.
Thecorresponding trajectories
aresimple
circles of radius :a wô/4.
The fixedpoints
aregiven by
the centres of these circles. Theangular velocity
on the orbits becomesIn
particular, (3.5) yields
thefollowing expression
forthe
period (k
=1)
As
before,
the characteristics areperiodic
in L :w (L)
oscillates between woand w1
=wol (1 - wo2nl4).
Therefore,
at fixed w, r oscillates between 0 andw2n/4.
Theperiod
of minima is associated with the characteristicsstarting
at wo = w : thecorresponding period
in L isgiven by 1 + wn/2 . Similarly,
theperiod
1 + wn/2
of maxima
corresponds
to the characteristicsstarting
atWO =
w (1- w2n/4 ) :
thecorresponding period
isFinally,
theproliferation
of folds can be measured with themultiplicity
offolding :
The
degeneracy
increaseslinearly
withL,
but muchmore
slowly
with w incomparison
with thelarge
wlimit.
3.2 PERTURBATION OF THE ORBITAL MOTION BY DISORDER. - In this
section,
the effect of a small disorder(i. e. potential q (L))
on the orbital motion isinvestigated.
A moresystematic study
of the influenceof disorder will be found in the next section. Here we
limit our
investigation
to thelarge
Llimit,
where1- r = t is
vanishing.
Let us first consider the behaviour of the orbits. To the lowest order
in t, (3.1) gives
thefollowing
ex-pression
forF(r, 0)
Similarly,
theangular velocity
becomesAssuming
that t= to
at 0 = w before the randomperturbation
is turned on,(3.7)
shows that theequation
of motion can be then
simplified
as follows«(J = ’IT - cp ).
and
Here,
(p * denotes the extension of theangular
sectorwhere the second term in
(3.7)
dominates :Performing
the same sort ofanalysis
for(3.8),
oneobtains the
following
behaviour for theangular
vel-ocity :
and
The two
angular
sectors are matched at 0 = ff - cp *.Equation (3.11)
showsthat,
aslong
as 0 is close to w,the
angular velocity
can beexpressed
as a function of the reduced variablecp I cp * .
The contributionn/2(n + 1 )
to
n/2(n + 1)
of this sector to the
period
inw0
L dominates that of the second sector, which is
proportional
to(tolwo)n/(n + 1). This
leads inparticular
to the
following expression
of theperiod :
Const.(tolwo)n/2(n + 1).
Here the constant in front refers to ann-dependent prefactor.
3.2.1
Averaged perturbation
method. - In order tofollow the effect of a small disorder on the transmission
coefficient,
we consider thedynamical system giving
the « time » evolution of r and 0:
In the absence of q
(L),
the orbital motioncorrespond-
ing
to theseequations
has been studied in theprevious
section 3.1. In the limit considered here :
1- r 1, (3.12)
and(3.13)
reduce to :The presence
of q (L) generates
fluctuations around the closed orbits described above. The main contri- bution ofq (L)
comes from the sectorwhere 0 :0
1T,because
q (L)
enters theequations
of motion via the combinations(1
+ cos0 ) q (L )
andsin 0 , q (L).
Thisresults in a diffusion-like motion of the Poincard section
points.
To the first order in q, the average of theperturbation Ar, integrated
over each revolutionperiod (0 -- 0 ---- 2 1T),
vanishes. Infact, using (3.14)
and(3.15),
one deducesThe average over
n ( n > = 0 ) gives
no contribution to(1 - r).
To the secondorder,
one obtainsThe average over q leads to :
Therefore,
the net effect of disorder can be cast asfollows
The different contributions to the
integral
in(3.18)
canbe
separated
and the final result is =- cp*3. However,
the
period
of motion isproportional
tocp *
and thisleads to
Due to the
persistence
of aquasi-orbital
motion in thepresence of the
perturbation,
a non-monotonic be- haviour of t = 1 - r is obtained on each characteristicsw(L).
Thetypical
values asgiven by (3.19)
arerespectively : t.i.(L) = L- (n + 1)/n (at 0 = ff )
andtmax(L) ~ L -1ln (at
0 =0).
The average value of t :tmin(L) t(L) -- tma.(L)
is therefore nolonger
anexponential
function ofL,
but a powerlaw.
This behaviour contrasts with the well knownexponential decay
in the linear case(i.e.
at wo =0).
The power lawstmin (L )
andtmax (L )
must be viewedactually
as thelower and upper
envelops
of thetrue t (L » .
A similarbehaviour has been obtained in
[4],
for n = 1 andanother derivation of this result will be
given
below.3.2.2 Fluctuations and
self-averaging properties.
- It iswell known
[1]
that at wo =0,
i.e. in the linear case, the fluctuationsof t,
r, ..., etc., are verysignificant
and thefull
probability
distribution of t is ofimportance.
Inorder to follow the influence of
non-linearities
on thestatistical distribution
of t,
we shall use theapproxi-
mated
equations
for theunperturbed
orbital motionThe
corresponding angular velocity
in the threeangular
sectors is
given by
As will be shown
below,
there are two sources of fluctuations : the first is due of course todisorder,
and the second comes from the orbital motion.Actually,
the
averaging procedure
over the closed orbits gener- ates « fluctuations » which dominate atlarge
wo, where non-linearities govern the behaviour of t. Here we shallinvestigate
this second source of fluctuations.3.2.2.1
Average
and fluctuation of1/t (L ).
- Follow-ing
the definition of the average over eachperiod,
onehas
( [... ] denotes
the average overorbits) :
The sector
0 #
7r does not contribute to theintegrals,
because t and also
(dO/dL)
arelarge
in this sector. Themain contribution to the numerator is =- cp
*/to,
whereas the
period (denominator)
is =cp*.
Thisimplies
in
particular
that[1/t]
=Const. l/to.
The same
argument
also holds for1/t2
and[1 /t2 =
Const. 1 /t2 .
This leads inparticular
to the relativefluctuation
This « self-similar » behaviour of the fluctuation of
llt originates
from thefollowing
fact. Theangular
sector
contributing
to the average of1/t
has the samescale cp * as that
contributing
to theperiod.
3.2.2.2
Average
and fluctuation of t. -According
to(3.20)
and(3.21), t
increases in the sectors whered6/dL
increases. Therefore the fluctuations of t should belarge. Using
a similarexpression
as(3.22)
for t andtaking
the ratiot de
dL from(3.20), (3.21),
oneobtains
(k =1 )
Note thatfor 0
=7r: t=to
andfor 0 = 0 :Equation (3.24)
shows that[t]/wo is nothing
else thanthe
geometrical
mean of these two extreme values oft/wo.
Thisimplies
inparticular
alarge
fluctuation of t.Indeed,
theexpression
of[t2]
assumes thefollowing
form :
The
resulting
relative fluctuation behaves aswhich
diverges
asto
--*0,
at fixed wo.3.2.2.3
Average
and fluctuation of In t. - The average of In t is dominatedby
the sector 0 = iT, because of theslowing
down of theangular velocity
in thisregion.
Taking
the main contributions to In1/t
and(In 1/t )2
into account one deduces that the relative fluctuation of In
1/t,
due to the orbitalmotion,
vanishes atto
-+ 0.Anticipating
the results of the nextsection,
the aboveresults can then be summarized as follows :
1) (l/t)
is dominatedby tmin(L), (l/t) - Ll +l/n
and the distribution of
1/t
becomes self-similar atlarge
L.
2) ( ln t )
issimilarly
dominatedby tmin (L )
and therelative fluctuation goes to zero at L = oo .
3) (t )
isgiven by
thegeometrical
mean oftmin (L )
and
tmax (L )
anddecays
to zero as a power law of L.The
physical origin
of the power lawdecay
comesfrom the
equation w
=wo/ (1- r)
of the character-istics,
whichimplies
that non-linearities dominate defi-nitely
atlarge
L. Infact,
due todisorder, r(L) approaches
itsasymptotic
value(=1 )
and this en-hances in a sensitive way the role of non-linear terms.
3.3 HAMILTONIAN APPROACH. - An
equivalent
app- roach to the transmissionproblem
A isprovided by
theHamiltonian formalism described in section 2. This
approach
is facilitatedby
the existence of the invariant F.Making
thechange
of variablesthe
corresponding
Hamiltonian is H = 2 F. The as-sociated Hamilton’s
equations,
whenq (L)
ispresent,
are
given by
It is
important
to notice that theperturbation
q(L )
is« time »
dependent.
The Hamiltonian formalism allowsus to write down a Fokker-Planck
equation
forF (r, 0)
and then to follow itsprobability
distribution.Recall that JC is
given by
thefollowing expression (k =1 )
In the presence of the
potential
q(L,)
the « time »evolution of
F,
as deduced from(3.27)-(3.28)
isgiven by :
Using
Novikov’s theorem[9],
the « time » evolution of the moments(Fm)
of F can be deduced from(3.29).
For
instance, (F)
and(F2)
are thesolutions
of theordinary
differentialequations
Equation (3.30) permits
us inparticular
to follow thevariation of F in the
general
case. In the weak disorderlimit, (b), (a2b2), (Fb),
etc., can beapproximated
by
their valuescorresponding
to the motion on anunperturbed
orbit.3.3.1
Large
wo limit. - Beforegoing
to the calculation of the moments of F and itsprobability distribution,
letus first consider the
unperturbed
orbital motion in thephase
space(a, b).
In the newvariables,
the closed orbits are invariant under a - - a and the ranges of variations are : - oo , a -- oo , b -- 0. In the limitr --+
1,
0=0corresponds
to b = oo and 0 = 7T isreached at b = 0.
In what
follows,
H will be written asaWn bn+l
where
G(b) = b + l/b + awô -1
denotes theposi-
n+1
tive function shown in
figure 6.
The minimum ofFig.
6. - Schematicplot
of the functionG (b )
used in the text. The valuesbo
andbl
of b are associated with theposition
of the
turning points,
of theperiodic
motion at a fixed level 2 F.G (b ),
which occurs at b = b * isactually
the fixedpoint
of the
dynamical system.
In the limit oflarge
wo,The
position
of b * is close tobc corresponding
to thevalue
of b,
where the main terms:1/b
anda wo’ b n "In
+ 1 becomecomparable :
at
large
wo. Two otherspecial
values of b aregiven by
the solutions of : H =
G (b ).
In thevicinity
of the firstb =
&o == 1/2 F, G (b ) ~ 1/b
andwhereas for
and
In terms of the above
notation,
theperiod Lp
in L takesthe
following simple
formActually, bo
andb1
can be viewed as theturning points
for the
periodic
motion on the orbit corre-sponding
to the fixed level 2 F infigure
6. For an initialcondition
r(L = 0 ) = 0, i.e. &i = 1,
one has 2 F =2 +
a w’ (n
+1 ) >
1 atlarge
wo. Thisimplies
in par- ticular that in(3.32),
the dominant contribution isgiven by
the interval[bc, b1], bc
1 Sb,
and thenThe constant factor C is
given by
It is
interesting
to notice that(3.33) reproduces
theresult
Lp ~ (tolwo )n/2(n
+ 1) obtainedpreviously
atto
~0,
where F ~2/to.
Note however thatequation (3.33)
is moregeneral
and noassumption
onto
is used here.Following
theprocedure
describedbefore,
we con-sider now the « time » evolution of
(F), (F2),
...using
the averageperturbation,
duet todisorder,
oneach orbit. All the calculations are
performed
to thesecond order in q
(L).
First consider the « drift » of
F,
due to disorder.Using (3.30),
one obtains for weak disorderThe
integral
in(3.34)
isdominated,
atlarge
wo,by
thecontribution of the interval
[bc, b1].
Thisyields
inparticular :
and
then,
when(âF)
is dividedby Lp :
Here where