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Submitted on 1 Jan 1993

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random structures: a unified spectral approach

Didier Sornette

To cite this version:

Didier Sornette. Decay of long-ranlye field fluctuations induced by random structures: a uni- fied spectral approach. Journal de Physique I, EDP Sciences, 1993, 3 (11), pp.2161-2170.

�10.1051/jp1:1993238�. �jpa-00246860�

(2)

J. Phys. I IFance 3

(1993)

2161-2170 NOVEMBER1993, PAGE 2161

Classification Physics Abstracts

02.90 41.10D 47.15 61.70

Decay of long-range field fluctuations induced by random structures:

a

unified spectral approach

Didier Sornette

Laboratoire de Physique de la Matibre

Condens6e(*),

Universit6 de Nice-Sophia Antipolis,

B-P- 71, Parc Valrose, 06108 Nice Cedex 2, France

(Received

14 June 1993, revised 9 August 1993, accepted 23 August

1993)

Abstract The problem of the determination of the powerlaw decay of the standard deviation

a~

+~ z~" of the fluctuations of the field generated by a random array of elements

(multipoles,

ensemble of dislocations,

etc.)

as a function of the distance z from the array is reduced to

the determination of two quantities:

I)

the spectral power of the disorder in the low k limit

and 2) the structure of the Green function, as a function of wavenumber and distance, for a

periodic array of the constituting elements. We thus

recover straightforwardly all results known

previously and derive

new ones for more general constitutive elements. The general expression of the decay exponent is found to be

o = 3 fl + 2(b

c),

where fl characterizes the self-affine

structure of the disorder (fl = 2 : strong disorder and fl

= 0 : weak

disorder)

and the exponents b and c are the exponents of the algebraic powerlaw corrections, in wavenumber and distance

respectively, to the dominating exponential decay of the Green function for a periodic array

of the constituting elements. The proposed spectral method solves automatically the generally

difficult problem of renormalization and screening in arbitrary random structures.

1 Introduction.

"Self-screening"

of

periodic

assemblies of elements whose individual influence is

long-range

is well-known. Consider for instance a

periodic

column or

plane

of electric

dipoles.

Even

though

the field of each individual

dipole decays

as I

/(distance)~,

the total field

decays exponentially.

This is due to the almost exact cancellation between the

angular

structure of the

dipole

fields.

This effect is also well-known for

periodic

arrays of dislocations

iii

and for

periodic boundary

conditions [2].

Recently,

a number of papers have addressed the

problem

of the robustness of this cancellation in presence of disorder

[3-7].

The

highlight

of these works is as follows: for weak disorder around an average

periodicity,

the ensemble average field still

decays

exponen-

tially.

However, the standard deviation a~

or second moment of the

field,

which

quantifies

the

(*) CNRS URA190

(3)

amplitude

of its

fluctuations, decays only algebraically

as

(distance)~~

a ~-< b2

>1/2 z-3/2, (1)

where < b~ > is the mean square

amplitude

of the fluctuations. This slow power law

decay (I)

of the field fluctuations is due to the breakdown of the almost exact cancellation of the sources at all

multipole

orders. An alternative view point [5] is that Fourier components of

arbitrary large wavelengths

in the power spectrum of the source array appear and are

responsible

for

the slow

decay

of the field fluctuations.

Since small random fluctuations around a

periodic

modulation are

always

present in na-

ture, the slow

decay

as

(distance)~~/~

of the

typical

field fluctuations must be

ubiquitous

in

nature. For instance, this has been

proposed

to be the case for dislocations in Ti-Y-O

alloys,

in order to

explain

the

experimental

observations of attraction and dissolution of

precipitates by migrating grain

boundaries [8]. In electro- and

magneto-rheological

fluids [9], chains are found to interact more

strongly

than

predicted

from a naive

prediction

based on a

regular periodic

necklace structure. A small

polydispersity

of colloid size is

enough

to

produce

some

disorder around the

periodic

structure. As a consequence, the above mechanism must appear and

give

rise to stronger

long-range

interactions.

Similarly,

the

problem

of the intermediate

wavelength magnetic

anomalies measured at various

heights

above the ocean crust has

recently

been

proposed

to arise from the random structure of

geological polarity

reversals [10]. Another

interesting

domain of

application

is the

problem

of sedimentation of suspensions and perme-

ability

of porous media. For

instance,

one is interested in

characterizing

the sedimentation of

a cloud of

heavy particles

in a fluid

II Ii.

The fluctuations of

particle speed

around the average

speed

of the

sedimenting

cloud involves

taking

into account

correctly

the renormalization and

screening

effects of all other

particles

on a

given

test

particle,

a

problem

which is still unsolved in

general.

Note however that the formalism

presented

in this paper allows one to obtain the

velocity

fluctuations once the

configuration

of the

particles

is known

(through

the

spectral

power of the

disorder,

see

below).

The

problem

of the renormalization and

screening

effects of all

particles

on a

given

test

particle

is

automatically

solved

by decomposing

the random

configuration

of

particles

as a

superposition

of

periodic

components

(Fourier theorem),

since

screening

at all orders is

completely

described for each

periodic configuration.

A

simple

ex-

ample

similar to the electrostatic cases considered below consists in the flow of an irrotational

inviscid

low-Reynold

number fluid

through

an array of holes in a

plate,

or an array of

spheres

or other elements.

Many

studies have addressed the determination of the flow in such

periodic

structures,

notably

in connection with the

development

of the

theory

of porous media

[12].

For

our purpose,

simply

consider the case of holes which are small in

comparison

with their distance A.

Then,

one has to solve the

Laplace equation

for the

velocity potential

# with the additional

boundary

condition

3#/3z (z=o= Vob(x nA) (dipole sources),

which is

equivalent

to one of the electrostatic

probleqsjjtudied

below. For the more

general

case,

knowledge

of the

velocity

potential

field for a

periidic

array of elements

given by

the methods

previously developed

[12]

allows one in

principle

to get the characteristic of the fluctuations of the fluid

velocity

for an

arbitrary quenched

random

configuration, using

the

spectral decomposition

described below.

Very recently,

the

question

of the

validity

of the law

(I)

in the presence of strong disorder has been addressed [13], with the conclusion that it is modified into

, ~

~-l/2 (~)

in the limit of very

large

disorder. The

question

arises about the

universality

of these results

(are

there

only

two

classes?)

and the

dependence

of the

decay

of

a(z)

for various types of

(4)

N°11 LONG-RANGE FIELD FLUCTUATIONS 2163

constituting

elements:

dislocations, dipoles, quadrupoles

or more

complex

entities. In the pre- vious

studies,

three different mathematical methods have been used: a

perturbation approach

in

conjunction

with the Poisson summation formula [4, 5, 7], brute force calculations of the standard deviation of the field

expressed

as an infinite series [3,

6,

13] and a

spectral

method [5]. All of them are consistent in the weak disorder

regime

and confirm the

validity

of

(I).

In the strong disorder

regime,

the first method in terms of the Poisson summation formula does not hold anymore since it relies upon a

perturbative development

of the disorder around the

perfect periodic

structure. The other two methods are in

principle applicable

to

arbitrary

situations, the

spectral

method

being

however more

general

and

powerful

as we wish now to

demonstrate.

In this paper, we first summarize

briefly

how

expression (I)

is obtained and

specify

the

meaning

of "weak" disorder.

Then,

we present the very

general

form of the solution of a

general problem

within the

spectral

method framework. This allows us to recover

simply

all

previous

results

including

the result

(2)

for the

large

disorder

regime

and furthermore to derive

a new series of results for various types of constitutive elements. We find that the value of the exponent of the power law

controlling

the

decay

of the standard deviation a~ of the

field,

which thus determines the

"universality class",

is controlled

by

two

properties: I)

the power

spectrum of the disorder at low wavenumber and

2)

the structure of the constitutive elements.

2. Derivation of

expression (I)

and

meaning

of "weak disorder"

Consider the

simplest problem, illustrating

the

general

question addressed in this paper, of a

Laplacian

field V

obeying Laplace's equation (i7~V

=

0)

in a semi-infinite medium bounded

by

a frontier

38,

with

imposed boundary

values or sources at 38. We take 38 to be the

plane (0x, 0y).

The semi-infinite medium extends from z

= 0 to +cc. An alternate distribution of

sources

(+)

and

(-)

of

strength

~ So are

arranged spatially

in the

plane (0x, 0y).

We first

study

a two-dimensional version of the

problem

and shall return to the three-dimensional case later. The set of sources

(+)

and

(-)

are assumed to be

spatially

disordered around an average

periodic

modulation:

(+) xl

='l~ +

d$ (3a)

(-) xi

=

(2n

+

1)A/2

+

bk (3b)

where

d$

and

b$

are random variables which are

independent

from site to site, have zero average <

b)

>= 0 and have a variance <

b)b)

>= 0 if n

#

n' and =< b~ > for n

= n'. is

the average

period

of the modulation. We assume furthermore that

V(x,

z -

+cc)

- 0. The

problem

is thus to solve

+co

i7~V

= -47r So

b(z) ~j

[b

(x xi)

b

(x

xi

)] (4)

n=-co

where b is Dirac's function. Note that this formulation

incorporates

different

boundary

condi- tions, for instance the cases when the distribution of sources is

replaced by

the

knowledge

of the field V at the

boundary

38. This mathematical

formulation,

which has the

advantage

of

simplicity, already

describes various

problems

of

gravity, magnetic,

temperature and resistivity

anomalies and will constitute the backbone of our derivation.

When disorder is absent

(b)

= 0 for all

n),

we

replace

the set of sources

by

the

boundary

condition

V(x, z)

=

>So cos(27rx/A)

and use the method of

separation

of variables

V(x, z)

=

(5)

Z(z)cos(27rx/A)

in order to

satisfy

the

boundary

condition. Substitution in

i7~V

= 0 then

yields d~Z/dz~ (47r~/A~)

Z = 0 whose solution

obeying V(x,

z -

+cc)

- 0 is

V(x, z)

=

>So

V

cos(27rx/A)e~~"

~/~

(5)

The field disturbance introduced

by

the

boundary

condition

(I) decays exponentially

with

depth

in a distance

proportional

to the horizontal

wavelength

A.

When disorder is present, we use the Green function method. In

2D,

the solution of

equation i7~V

= -47r b

(x xo)

b

(z zo)

with

V(x,

z -

+cc)

- 0 is [15]

G(~,

Z)

"

~L°g ((~ ~0)~

+ (Z

20)~j (6)

Using

this

expression

for the Green

function,

the

general

solution of

equation (4)

reads

formally

+co +co

-V(x, z) /So

=

~ f~ (n

+

b$ IA) ~j f~ (n

+

bill) (7)

n=-co n=-co

where

f+(t)

=

Log [(x tA)~

+ z~]

(8a)

f~(t)

=

Log [(x (2t +1)A/2)~

+ z~]

(8b)

Note that for

b)

= 0 for all n, the series can be summed up

using

the

theory

of

analytical

functions

[Ref.

[15] Tome II

(1963)

p.

1236]

and

yields -V(x, z)/So

=

(Log[tan(27r(x+iz)/A)](~

which reduces to

V(x, z)

= >So V

cos(27rx/A)e~~"

~/~ for

large z(»

A).

In order to estimate

V(x, z) given by

equation

(7),

we

develop

each term

f~ (n

+

b) IA)

up

to second order in

b) IA,

since the disorder is assumed to be small:

i~ (n

+

bill)

=

i~(n)

+

jbj IA) di~(n)/dn

+

(1/2) jbj /A)~ d~f~(n)/dn~

+

(9)

The average <

V(x, z)

> over the disorder reduces to

<

V(x, z)

>

/So

"

f f(n)

+

(1/2) <

(b/A)~

>

f

d~

(n)/dn~j

+..

(10)

n=-co n=-co

with

f(n)

=

f+(n) f~(n) (ii)

using

<

b) IA

>= 0, and <

b)b$

>= 0 if n

#

n'and <

(b$ /A)~

>=<

(bj /A)~

>+<

(b/A)~

>

Using

Poisson's summation rule:

+m +c~ +m

~j f(n)

=

~j / f(t) e~"~~dt, (12)

n=-co k=-co ~"

one can write

equation (10)

as

<

V(x, z)

>

/So

"

/

dt

[f(t)+

<

(b/A)~

> d~

f/dt~

+.. +

~~

+2

f j~"

ji(1)+

<

(~/>)2

>

d21/d12

+..

cos(2~rki)

di.

(13)

~=i -co

(6)

N°11 LONG-RANGE FIELD FLUCTUATIONS 2165

Averaging

the

Laplacian

field amounts

essentially

to

recovering

the

periodic

case with a small

perturbation _proportional

to the second moment

(< (b/A)~

l)

of the disorder. For

f(t) given by equation (II

with

(8),

the first

integral

in the r-h-s- of

equation (13)

is

identically

zero since

f+(t)

and

f~(t)

cancel

exactly.

The

leading

behavior of

V(x, z)

is thus

given by

the first

(k

=

I)

term in equation

(13)

which can be shown, after some tedious

calculations,

to recover

expression (5).

The fact that the k

= 0 contribution vanishes in this case is the mathematical translation of the mutual

screening

at all

multipole

orders of the field

produced

by

each source in the

periodic

case.

Thus, averaging

the

Laplacian

field would seem to

imply

that the effect of fluctuations is

negligible.

In

fact,

it is

quantified by

the second moment bV~ of

V(x, z)

defined

by

bV~

+

j< jV(x, z)j~

> <

V(x, z) >~j /Sj

=<

(b/A)~

>

f id I(n)/dnj~

+

(14)

The k

= 0 term in Poisson's summation rule

(12) applied

to the sum in the r-h-s- of equation

(14)

is now

proportional

to

(< [V(x, z)]~

> <

V(x, z) >~) /S(

=<

(d/A)~

>

/

id

f(t)/dt]~

dt +..

(15)

which cannot be

equal

to zero since d

f(t) /dt

is non zero. The remarkable fact is that this term

produces

a

long-range powerlaw decay

as a function of z.

Using

the substitution T

= At x,

the

integral

in the r-h-s- of equation

(15)

reads

/ id f(t) /dt]~

dt

=

/

dT

[T/ (T~

+

z~)] [(T

+

A/2) / ((T

+

A/2)~

+

z~)] )~ (16)

which

yields

dv/so

a

j< jv(z, z)j2

> <

v(z, z) >2j~/~ /so

= c <

(d/>)2 >1/2 (z/>)-3/2

+ o

jz-2)

(17)

where C is a numerical factor of order

unity. Expression (17)

exhibits the announced slow

algebraic decay

of the

Laplacian

field fluctuations induced

by

the disorder. It is remarkable that any

non-vanishing

disorder as weak as can be generates the "universal"

z~3/~ decay

of

the r-m-s- fluctuations of the

Laplacian

field. The

strength

of the disorder affects

only

the

prefactor

of the power law

decay.

3. General

spectral

formulation and solution of the random source problem.

We now consider a

general problem,

electric, elastic or other, characterized

by

the value of the Green function

G(x x', z) giving

the field at

position (x, z)

created

by

a unit element

placed

at

(x', 0). Here,

the x-coordinates denotes the

position

of a source

transversally

to the axis z.

The Green function

G(x x', z) fully

characterizes the

given problem.

The element can be a

single

source, a

dipole,

a

multipole,

a dislocation... For instance, for the electrostatic

problem

in which the

potential

as well as the field

obeys Laplace's equation (i7~V

=

0)

,

G(x x', z)

=

-Log [(x x')~

+ z~] for the

potential

in 2D and minus its

gradient

for the electric

field,

if the elements are

monopoles.

(7)

The distribution of element sources in the

plane

z = 0 is described

by

the function

p(x').

We do not need here to

specify

if it is

periodic, weakly

random or otherwise.

Then,

the formal solution of the field is

given by

V(x, z)

=

p(x') G(x x', z)

dx'.

(18)

This

expression

consists of a convolution between the distribution of sources and the Green function which

depends

on the

depth

z of the source

layer

beneath the observation

plane.

Convolution in the space domain becomes a

multiplication

in the Fourier domain, so that we have

v(k,z)

m

p(k) G(k,z), (19)

where k is the wavenumber in the

x-plane.

Note that the Fourier transform

G(k,z)

of the Green function is

nothing

but the field V created

by

a

periodic

array of elements with

periods 27r/k~

and

27r/ky

in the x and y directions

respectively.

For suitable

elements,

such as

dipoles,

dislocations,

etc.,

G(k, z) decays exponentially

with z as [2,5]

(see

also Sect.

2) G(k,z)

r~

e~~~, (20)

where k

=

(k(,

thus

recovering

the

general "self-Screening"

property of

periodic

systems of

dipoles

or dislocations discussed above.

By

inverse Fourier

transform, expression (19)

trans- forms into

V(x,z)

=

/ p(k) G(k,z)

e~~~ dk.

(21)

The ensemble average field and the second moment of the field are

given respectively by

<

V(x, z)

>=

/

<

p(k)

>

G(k, z)

e~~~

dk, (22)

and

a~

+<

[V(x, z)]~

> <

V(x,z) >~= / /

<

p(k) p*(k')

>

G(k, z) G*(k', z) e~~~~~'~~dkdk', (23)

where the

symbol

* stands for the

complex conjugate.

Consideration of these two equations allows us to recover

previous

results

rapidly.

In

periodic

systems or weak disordered system,

<

p(k)

>= po d

(k ko),

which

together

with

(20) yields

the

exponential decay

<

V(x, z)

>r~

e~~°~e~~°~,

characteristic of the

"self-creening"

property. Note that we exclude here the case where the

spatial

average

yields

a non-zero contribution at k

= 0,

implying

a

non-vanishing

source

density

in the continuous limit. Our discussion

applies only

to the contributions at

finite wavevectors, the k = 0 contribution

being easily

taken into account in the continuous limit. For weak disorder such that the power spectrum <

p(k)p(k')

> of the distribution

p(x')

is

given by

<

p(k) p(k')

>r~

k~b(k k')

[5, 14], we obtain a~

r~

z~3 at distances

z »

kp~,

which recovers

(I).

Note that the z

dependence

of the field and of its fluctuations at

large

distances z is controlled

by

the behavior of these

integrals (21-23)

in the low k domain. As a consequence, we can

neglect

the

x-dependence

in these

integrals,

since the

exponential

e~~~ in equation

(21)

becomes unity for k « x~~.

Anyway,

the

x-dependence

is washed out

by

the ensemble

averaging yielding ,2 since,

in

general,

<

p(k) p(k')

>r~

b(k k')

due to the property of average translation

invariance

(average

uniform

spatially

distributed

disorder)

in an infinite system.

(8)

N°11 LONG-RANGE FIELD FLUCTUATIONS 2167

These considerations allow us to

give

the

general

rules

controlling

the

decay

of the standard deviation a~ of the field fluctuations. If a

given physical problem

is such that the power spectrum of the disorder is

given by

<

p(k) p(k')

>m

kab(k k'), (24)

and the field created

by

a

periodic

array of elements of wavevector k is

given by

G(k, z)

cs

k~z~e~~~, (25)

where a, b and c are in

general positive

but

possibly negative

exponents, then from expression

(23)

we

immediately

get from power

counting

a~

r~

z~°, (26)

(27)

where

~ = i + a +

2(b

C).

Several comments are in order.

First,

expression

(27)

shows that the

universality

class of the standard deviation

decay problem

is

entirely

determined

by

three exponents a, b and c,

defined

by I)

the

spectral

content of the disorder at low wavenumber

given by expression (24)

which

gives

the value of exponent "a" and

2)

the structure of the constitutive elements and the

nature of the

physical problem,

which determines the kernel structure

given by equation (25)

and which

gives

the exponents "b" and "c". It is clear from

expression (25)

or

(20)

that the characteristic

decay length

of a

spectral

component of wavenumber k is of the order of k~~

Thus,

the

powerlaw decay

of a~

can be traced back to the existence of very low wavenumbers in the power spectrum of the disorder. Disorder destroys the exact cancellation of all

multipoles

and introduces a continuous spectrum down to k - 0.

Second,

a

given

value of a does not need to

correspond

to the same

physics,

since there are many combinations of a, b and c for a

given

value of the

decay

exponent a. For

instance,

the

case a = 3 discussed in sections I and 2 is recovered for a

= 2 and b = c

= 0, which was the

case studied in reference [5] for a system of

planar dipoles

in electrostatics. The same value

a = 3 is also obtained for a

planar

lattice of dislocations in the

elasticity problem

[4, 7] for which a

= 2 and b

= c = I. More

generally,

we expect that the

decay

exponent a may be modified either due to a

cl~ange

of the

spectral

content of the disorder or due to the

multipole

nature of the constitutive element in the source array.

4. Limit of

large

disorder and other cases.

The strong disorder case considered in [13]

corresponds

to

assuming

that each constitutive element

(in

this case, a

dislocation)

can have any

position

within the

plane.

This

corresponds

to a

complete

decorrelation of the position of the dislocations. In this case, the power spectrum of the disorder reads

<

p(k) p(k')

>r~ En Em < e~~~" e~~'~m >,

(28)

where xz~ is the position of the nth element in the source

plane (z

=

0).

For uncorrelated positions of the

elements,

all the "interference" terms in the double sum such that n

#

m

average to zero since < e~~X» e~~'Xm >=< e~~X» > < e'~'Xm >= 0 if m

#

n.

Expression (28)

reduces to

<

p(k) p(k')

>

r~ En < e~~~~~'~~» >,

(29)

~ ll ~

~i(k-k')x

~

(~~)

(9)

due to the

independence

of the

positions

of the elements and the fact that we assume that

they

are

identically spatially

distributed. N is the number of elements per unit

length.

In an infinite

domain,

< e~(~~~'~~ >=

b(k k'), leading

to a value a

= 0 for the disorder exponent defined in

equation (24).

As a consequence, for the same

physical problem (same

b and c

exponents),

we

find that the

decay

exponent a for the standard deviation a~ of the field fluctuations is reduced

by

2 in the

large

disorder limit, in comparison to the weak disordered case. In

particular,

for

b c

= 0

(electrostatic dipoles

or

dislocations),

we recover the announced result [13]

given by expression (2):

a~ r~ z~~ Note that the present

spectral

method also allows us to address

the more

general

case of an

arbitrary

disorder and to

quantify

the cross over from weak to

strong disorder.

Mathematically,

this is done

by computing expression (28)

for the case at hand characterized

by

the

corresponding spatial

distribution of xz~.

It is

maybe

useful to list a few

problem archetypes

and their

corresponding decay

laws. The first

simplest problem

is that of a

planar

array of

monopole

sources. The case of a

periodic

array with

alternating signs yields

the well-known

exponential decay V(x,z)

r~

e~k°z

e~k°~

For a weak disorder around this

periodic

structure, a = 2 and b

= c = 0 which

yields

a = 3.

For a strong disorder with a = 0, we obtain a

= I.

Suppose

now that the

monopoles

are

grouped

in pairs so as to constitute

dipoles lying parallel

to the

plane

to which

they belong.

Summing

the

dipole

field over a

periodic

array of

dislocation, using

for instance the Poisson summation formula,

yields again

b = c = 0. The same result holds for vertical

dipoles

which

are

perpendicular

to the

plane

to which

they belong.

The

decay

exponent o is thus

uniquely given

in terms of the exponent "a" determined from the nature of the disorder. We

again

recover a = 3 and a

= I for the weak and strong disorder cases,

respectively.

Let us consider now an array of electric

quadrupoles.

A

given quadrupole

can be constituted

by approaching

two horizontal

dipoles

of

opposite

direction to within a close

distance,

say

d,

in the z-vertical direction. The kernel

Gquadrupoie(k, z)

for the

periodic

array of

quadrupoles

is then

given by

Gquadrupole(k,

Z) =

Gdipole(k,Z

+

d) Gdipole(k,

Z)

* kd

3Gdipole(k,

Z)

/32. (31)

This

expression (31)

shows that b = I and c

= 0 for the system of

quadrupoles.

Then this

yields

o

= 5 and a

= 3 for the weak and strong disorder cases,

respectively. Generalizing

this

reasoning

to

arbitrary multipoles

of order

p(p

= 0 :

monopole,

p = I :

dipole,

p = 2

quadrupole,

etc.

),

we obtain b

=

Max(p

-1,

0)

and thus o

= 3 +

2(p I)

and a = 1+

2(p I)

respectively

for the weak and strong disorder cases, for p > 1.

5. Conclusion.

The

problem

of the determination of the

decay

law for the standard deviation of the fluctuations of the field

generated by

a random array of elements

(multipoles,

ensemble of

dislocations,

etc.

has been reduced to the determination of two quantities:

I)

the

spectral

power [14] of disorder in the low k limit and

2)

the structure of the Green function

[15],

as a function of wavenumber

and

distance,

for a

periodic

array of the

constituting

elements. In turn, this Green function can be evaluated

easily

from the

knowledge

of the Green function for a

single

element and from the

use of the Poisson summation formula

allowing

the discrete

periodic

sum to be transformed into a continuous

integral

over the

plane,

or more

generally

over the manifold,

containing

the sources. In

general,

this continuous

integral

has the form of a Fourier transform which

generically yields

a spatial

dependence given by equation (25),

controlled

by

an

exponential

decay

decorated

by algebraic

corrections in powers of k and z.

(10)

N°11 LONG-RANGE FIELD FLUCTUATIONS 2169

This formulation is

completely general

and

quite powerful technically

since it has allowed

us to recover

straightforwardly

all results known

previously

and to derive new ones for more

general constituting

elements. It can be

easily adapted

to any

physical problem,

as

long

as

the Green function for a

single

source is known. Its second interest is in the

particularly

clear

physical picture

that it

provides

in order to understand the

origin

of the slow

algebraic

powerlaw

decay

of the field fluctuations. In this

framework,

it stems from the creation

by

disorder of very low wavenumber components which

provide

the

dominating

contribution to the

decaying

field at

large

distances. In the weak disorder case, the appearance of such low wavenumber components in the disorder spectrum results from the

progressive

destruction of the cancellation of the field

occurring

in the

periodic

case.

However,

the

picture

is not restrictive to this limit and

fully

characterizes the

problem

from the

knowledge

of the disorder spectrum.

An

interesting

consequence is the

analysis

of a different

c(ass

of

disorder, exhibiting long

range

"fractal-like" power law correlations in space and characterized

by

a spectrum

b(k k')

k~~~

for small k with 0 <

fl

<

2,

I-e- a

= 2

fl, yielding

a

decay

exponent a =

(3 fl)/2

[5]. To summarize, the

general expression

of the

decay

exponent a for the standard deviation a~ of the fluctuations of the field

generated by

a random array of elements is a~

r~ z~" with

a = 3

fl

+

2(b c), (32)

where

fl

characterizes the self-affine structure of the disorder and exponents b and c are defined

by expression (25).

The domain of

validity

of

expression (26)

with

(32)

is

typically

for distances

z

larger

than the average

period

in the weak disorder case around an average

periodicity.

In the strong disorder case, it is valid in an ensemble average sense over many disorder

configurations.

It is

possible

that a

simple

space

integral (or

space

average)

over the

in-plane

coordinate x for

a

single

disorder

configuration

is

sufficient, implying

some kind of

ergodic

property. This is

currently being

checked

by

numerical simulations [10].

Acknowledgements.

Stimulating

conversations with E.

Bouchaud,

J.-P.

Bouchaud,

G. Saada and A-A- Nazarov are

acknowledged.

I am

grateful

to D. Stauffer as the editor for

suggesting

the sedimentation and

permeability problems

and for useful comments.

References

ill

Landau L. and Lifshitz E., Th60rie de L'Elasticit6 (Moscow, MIR, 1967) pp. 164-165.

[2] Turcotte D-L- and Schubert G., Geodynamics Applications of continuum physics to geological

problems (Wiley, New York, 1982).

[3] Halsey T. and Toor W., J. Stat. Phys. 61 (1990) 1257.

[4] Zasimchuk E-E- and Selitser S-I-, Sov. Phys. Solid State 26

(1984)

695;

Bouchaud E. and Bouchaud J.-P., Philos. Mag. Lent. 65

(1992)

339.

[5] Sornette D., Geophys. Res. Lent. 12

(1992)

2377.

[6] Nazarov A-A-, Romanov A-E- and Valiev R-Z-, Acta Metall. Mater. 41

(1993)

1033.

[7] Saada G. and Bouchaud E., Dislocation walls, Acta Metall. Mater.

(in press).

[8] Bouchaud E., Bouchaud J.-P., Naka S., Lepasset G. and Octor H., Acta Metall. Mater. 40

(1992)

3451.

[9] Halsey T-C-,

Electrorheological

fluids, Science 258

(1992)

761-766.

(11)

[10] Cowie P. and Sornette D., Intermediate wavelength magnetic anomaly arising from the random

structure of polarity reversals in the ocean crust,

(in preparation).

ii ii

Hinch J., Sedimentation of small particles, in Disorder and Mixing, E. Guyon, J.-P. Nadal and

Y. Pomeau Eds.

(Kluwer

Academic Press, Dordrecht, Boston, 1988) p. 153.

[12] Sangani A-S- and Acrivos A., Int. J. Multiphase Flow 8

(1982)

343;

Adler P.M. and Brenner H., Physico Chem. Hydra. 5

(1984)

269;

Brenner H., Philos. lYans. Roy. Soc. London A297

(1980)

91.

[13] Nazarov A-A-, Romanov A-E- and Baudelet B.,

Long-range

stress fields of disordered dislocation

arrays: two types of disorder, two decaying laws, submitted to Philos. Mag. Lett.

[14] Stratonovich R-L-, Topics in the theory of random noise

(Gordon

and Breach, New York,

1967).

[15] Morse P-M- and Feshbach H., Methods in Theoretical Physics

(McGraw-Hill,

New York,

1953).

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