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Manifolds in random media: beyond the variational approximation

Yadin Goldschmidt

To cite this version:

Yadin Goldschmidt. Manifolds in random media: beyond the variational approximation. Journal de

Physique I, EDP Sciences, 1994, 4 (1), pp.87-100. �10.1051/jp1:1994122�. �jpa-00246893�

(2)

J. Phys. I IFance 4

(1994)

87-100 JANUARY1994, PAGE 87

Classification Physics Abstracts

05.40 05.20 05.50

Manifolds in random media: beyond the variational

approximation

Yadin Y. Goldschmidt

Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA 15260, U-S-A-

(Received

26 August 1993, accepted in final form 29 September

1993)

Abstract. In this paper we give a closed form expression for the

1/d

corrections to the self- energy characterizing the correlation function of a mamfold in tandem media. This amounts to the first correction beyond the variational approximation. At this time we were able to

evaluate these corrections m the high temperature "phase" of the notorious toy-mortel describing

a classical partiale subject to the influence of both

a harmonie potential and a ramdam potential.

Although in this phase the correct solution is rephca symmetric the calculation is non-trivial.

The outcome

is compared with previous analytical and numencal results. The corrections diverge

at the "transition" temperature.

1. Introduction.

The

problem

of directed manifolds in a disordered medium is an

interesting problem [1-17]

which possesses many similanties to trie

spin-glass problem although

the

hope

has been that it is more tractable. In

particular,

when trie manifold is one dimensional it is referred to as trie

"directed

polymer" problem.

Trie latter

problem

can be described as a walker

(or polymer)

who walks

randomly

on a d-dimensional lattice

(with

d

= N

+1),

where one coordinate

(referred

to as trie

"time") always

increases. This is trie reason trie walk

(or polymer)

is called "directed".

The walker is attracted

(or repelled) by

a random

potential

which is associated with each site on trie

lattice;

thus each

possible

walk

(or patin)

has a

weight

which is the

product

of

weights acquired

at each site which is visited where trie

weight

is determined

by

the

potential

on that site

Higher

dimensional manifolds

(in

N+D = d

dimensions,

where d is trie

embedding

dimension and D is trie intrinsic dimension of trie

manifold)

pertain for

example

to trie

problem

of an

interface between two

phases

of a system which contains random

impurities

[3], and even to such a

problem

as flux-fines in a disordered

superconductor.

[9]

The

"simplest"

of ail such

problems

is trie sc-called

"toy-model"

for which D

= 0

[18, 19, 14, 16]. Usually

N is taken to be one for

simphcity,

but in this paper we will consider the

general

N case. This model descnbes a classical partiale which can move in d

= N dimensions,

(3)

subject

to trie influence of both a harmonic

restoring

force and a random

potential

which has

long ranged

correlations in space whose

magnitude

faits off like a power law.

Recently

Mezard and

Parisi,

in a beautiful

piece

of work [8],

applied

the Hartree variational

approach

to trie

problem

of directed manifolds in a random

media,

and showed that this method becomes exact when d - oo, where d is the number of

embedding

dimensions. Some

interesting

results bave been obtained

by

this

method,

in

particular

various relevant exponents have been calculated which characterize the

roughening

of the manifold or the behavior of trie free energy fluctuations. More

recently

trie

properties

of trie

spatial probability

distribution bave also been derived

by

trie variational method [16].

An

interesting project

is to go

beyond

trie variational

approximation

and incorporate sys- tematic corrections to it. One way to try to go

beyond

trie variational

approximation

is to calculate

1Id

or

equivalently 1IN

corrections to the d

= oo results.

Recently

we bave

begun

such a

project

[15]

by calculating

trie

1Id

corrections to trie

free-energy

for trie case of directed

polymers

with short

ranged

correlations of trie random

potential.

Trie case of one step

replica

symmetry

breaking (RSB) pertaining

to trie case of short range correlations of trie ramdam

potential

bas been

successfully

addressed. This paper [15] will be referred to in trie

sequel

as I.

In trie present work we

proceed

to derive trie form of trie

1IN

corrections to trie

self-energy

for

a

general

manifold which is relevant to trie behavior of correlation

functions)

and calculate them

explicitly

for trie

toy-mortel

in trie

high

temperature

"phase".

Recently

Mézard and Parisi [14] derived trie form of a

partial piece

of trie

1IN

corrections.

It turns out

(see

Sect. 2

below),

that their

expression

does not include ail trie

1IN

corrections.

In addition

they

were

only

able to calculate trie contribution of Due

diagram

Dut of trie infinite set that contribute to this

1IN

term. Trie last

difficulty

anses because of

replica

symmetry

breaking.

On trie other

baud,

Dur calculation derives ail trie

1IN

contributions to trie self

energy, and we could evaluate them

completely

for trie

toy-model

in the case of no

replica

symmetry

breaking (valid

for

high temperature).

We bave not yet tackled trie case of RSB

(with exception

of trie

particular

case of one-step RSB considered in

I).

We

hope

that trie results

presented

below will pave trie way for a future calculation which will incorporate a

finite number and

eventually

an infinite number of steps of replica symmetry

breaking,

but so far this issue remains unresolved.

Other aspects of trie lIiAT expansion, obtained in a somewhat different context,

by using

a

different set of

tools,

can be found in recent work of Cook and

Derrida,

[7] and Balents and Fisher

il?].

Trie latter authors raise trie

possibility

of

non-analytic

contributions

(in N)

to trie

roughening

exponent.

2.

IIN

corrections for manifolds in random media.

We first review trie method for

obtaining

the

IIN expansion (see

also [8] and

I).

Since we

are

mainly

interested in random manifolds

(as opposed

to trie

quantum-mechanical n-body problem

which was discussed in detail in

I)

we use here trie Euclidean version of trie

patin integrals.

Trie hamiltonian

descnbing

trie system of manifolds in a random medium is:

hiwi

=

1/

d~

( Iii

~

+

i /

d~

iW(~))~

+

/

d~

v(i~ W(~)) ii)

where

w(~)

is an N component vector field

representing

trie

position

of trie manifold and

~ is trie D-dimensional internai coordinate of trie manifold. Trie first term represents trie surface tension, The second is a small mass term introduced for

regularization

purposes and

(4)

N°1

1IN

EXPANSION FOR MANIFOLDS IN RANDOM MEDIA 89 trie third term is trie

quenched

random

potential

with a Gaussian distribution and mean zero.

Its

averaged

correlations

satisfy:

(V(l~, W)Vll«',W'))

=

-ôl~~l« «')

N

f ~~'j'~~

12)

The

scaling

with N is chosen such as to obtain a

meaningful large

N limit. For

large

distances the function f is taken to be described

by

a power law:

~~~~'~

2(l~ y)

~~ ~ ~~~

In order to average over trie

quenched

random

potential,

trie

replica

method is used. After

introducing

n

copies

of trie fields and

averaging

over trie

potential

one obtains:

(Z")

=

d[wi) d[wn] exp(-flHn)

,

(4)

with trie

replicated n-body

hanliltonian

given by:

We derive trie

1IN expansion using

the

functional-integral

formalism

[20, 21, 15]. Introducing

two

auxiliary

fields

qaô(x)

and

aaô(x)

the

partition

function can be

expressed

in trie form:

(z")

=

/ fl dlw«(«)1 / IJ diqaô(«)idi«aôlx)1

x exp

~ ~j /

dz

aaô(x)(Nqaô(x) wa(x) ô(x))1

~

ah

~ ~~~

~ /

~~

l~ ~ÎÎÎ

~

~

~'~~~~~j

~( £ /

dX

N/i~aa(X)

+ ~bb(X)

ab(X))1.

i~)

~#~

The

integral

over «ah amounts to a à-function constraint

imposing:

~abiX)

"

~'aiX) '~'b(X)/N i~)

Since the coordinate wa appears

only quadratically

it can be

integrated

upon to

yield:

(~~)

"

/ fl ~i~abiX)i~i°abiX)i ~~PiN~i~ab> °ab)i i~)

with

fl

fl2

A(qab, °ab)

"

j £ /

dz

aab(X)~ab(X) ~ £ /

dz

/jqaalX)

+ ~bb(X)

2qab(X))

+

sjaab(X))

ah ah

(9)

JOUR~AL DE PHYSIQUE T 4, N' JANUARY 1994 4

(5)

where

e~~l"°bl~~~

=

/ fld[wa(x)j xp1-~ ~j /

dz

wa(x) ((-i7~

+ ~t) ôaô

aaô(x)) wô(z)

a

~

ah

(10)

The

large-N

limit is determined

by

a saddle

point

of trie functional

integral, equation (8).

We look for an

z-independent saddle-point

solution and hence we express trie variables a and q as

°ab(X)

"

°Îb

+

~ab(~) (Il)

~ab(Z)

" ~Îb + ~lab(X),

(12)

where e and

i~ are trie

(x-dependent)

fluctuations about trie

saddle-point

values a° and

q°.

Trie

x variable is taken to be confined to a box of volume V.

Substituting equations iii)

and

(12)

in equations

(9)

and

(10)

and

expanding

to third order in e and q we find:

)A(q°

+1Ji

«°

+ e)

=

£ «Îôqlô ( ~ fiqla

+ qlô

2qÎô)

ah

~

a#à

~

~

~

~ j

~~

~

°'~~~~ °'b~~~~~b~~~

ah

fl2

+-

dXdX'~ ~j

WaIX) Wb(X)Wc

IX') Wd(X')rab(X)fcd(X~)

~

ah cd

fl3

+

~ /

dXdX'dX"

~j ~j ~j

Wa(X) Wb(X)Wc(X')

ah cd ef

wd(x')we(x") wf(x")eaô(x)ecd(x')eef(x")

+

fl2

w ~ f'(qla

+ qlô

2qÎô) /

dz

(~aai~)

+

~àô(x) 2~laô(x))

a#b

fl2

~ f"'(q(~

+ q)à

2q(à)

dz

(~laa(x)

+ i~ôô(x)

2~laô(x))~

+

(13)

12V

/

a#b

The

saddle-point equations

are determined

by

trie

vanishing

of trie linear terms in ~/ and e.

They

are:

a(à

= 2

f'(q(~

+ q)à

2q$à),

a

#

b

(14)

(6)

N°1

1IN

EXPANSION FOR MANIFOLDS IN RANDOM MEDIA 91

a~~

+

~

a~b

#

(15)

b(#a)

~Îb "

/dX (~'a(Xl'Wb(X))C

"

/ Glb(Î') (16)

p

with

GÎb(Î~)

" [lP~ +

Jl)1 °~)~~]

ah' 1~7)

In equation

(16)

trie notation

)c

stands for trie connected average with respect to trie

quadratic

action in w.

Taking

into account trie saddle

point

solutions and

rescaling

e,~/ -

ellR,~ll/R

trie ex-

pression

for

(Z")

becomes:

(z")

=

exPlNAo1 / di~aôldifaôi

exP

lA21

lfl2

~ i

~~ ~~fl /2

~ f"'lqla

+ qlb

2qÎbl /

dX(~laa(X) + ~/bb(X) 2~lablX))~

ah

~ fi

iÎ1/2 /

~~~~'~~"

~Î ~Î ~Î ~©cd,e

f

(~'~" ~")Gb (~)~Cd(~')~ef (~")

~

l' (~~)

ah cd ef

were

Ao

is the fluctuation

independent

part of

equation (9)

and we defined

A2

=

/

dxdx'

£ £

Haô

cd(x x')eaô(x)e~à(x') ~ ~j /

dz

eaô(x)qaô(x)

~

ah cd

~ ~

ah

fl2

i ~ f"lqla

+ qlb

2qÎb) /

dX

l~laalX)

+ ~/bb(~) 2~labl~))~>

(19)

a#b and

~

flaô,cd(~ ~')

=

$ (wa(~) wô(~)w~(x') wd(~'))c, (20)

flllcd,e

f

IX'X" X")

"

$(~'a(X) '~'à(X)~'c IX') ~'d(X')~'e(X") '~'f(X"))c (21) Equations (18)

and

(19)

are trie main equations needed to calculate the e-propagator and the

1IN

corrections to trie self energy. To obtain trie e-propagator it is

enough

to consider the

quadratic

action

A2

in

(18)

and

integrate

out over

~/(x)

to generate the

quadratic

effective action for e. We find:

/dX ~~~~~l~ab(X)~cdlo))

~

~2rab,cd(Î~)> 122)

r(P)

=

Ii

+ A

fl(P))~~ A, 123)

with

Aab,cd "

ci" (~$u

~

~lv ~~$vl

~ab,uvtcd,Uv'

l~~)

uu

tab,uv " ôauôbu + ôavôb~ ôauôbv ôavôbu,

(25)

flab,cdik)

"

/i~iciP)~tdik P)

+

~idiP)~tc(~

P)))

12~)

(7)

by

a

product

of two

n~

x

n~

matrices like A H we mean

(A Il)ab,cd

"

£

Aab,1~1'II~t~,cd

(27)

UV

In I we

proceeded

to calculate the

1/N

corrections to the free energy. Here we are interesteà

m the self energy, defined as the matrix

a(p)

in trie expression

G(P)

= ((P~ +

/1)i «(P))~~ (28)

If we put

a=a°+ ~a~+..., (29)

It is easy to

verify

that

j°ÎblÎ')

"

Î/2

(~ab(o)1 +

/

dX ~~~~~

lfl~aclX)GÎdIX)Edb(o))>

130)

~~

were

G°(x)

is the Fourier transform of

G°(p)

and the averages are taken

using

trie fuit functional

mtegral represented

in

equation (18) indudiug

trie cubic ternis in e and ~/.

We

display

now trie final result and make some comments on trie derivation later.

°Îb(Î')

" ~2

£ / Gldlk)tac,db(Î' k) j £ £ £ £ £

f~~~(~Îu + ~Îv

~Îv)

cd ~

UV cd ef gh lm

x

Î t~d,w Ill

+ A

fl(k))~~]~d,e ffle f,~h(k)t~h,wtim,~»[(1

+

II(0) A)~~]im,aô

+ 2

/ £ £ £

G)~

(k)G(~ (k)G )~ lé')r~b,cd (0)re

f,~h

(k k') (31)

~ ~'

cd e f gh

The first term, which is momentum

dependent,

bas been denved in a different form in

[14],

however trie two other terms are missing there. Note that trie term

proportional

to

f"'

does net exist in a

#~-field theory

where

f

rw

x~. In

figure

we present some

typical graphs (Dut

of

many

possible others)

that contribute to trie vanous terms in

equation (31).

Trie first term in

equation (31) originates

from trie second term on the r-h-s- of

equation (30).

Trie other two terms result from thé first term

in

equation (30)

combined with trie two cubic terms in ~/ and e in

equation (18).

To obtain trie second term

(proportional

to

f"')

it is easier to first

integrate

on e to find trie effective ~/-propagator which is

given by:

l~(P)~l-P))

=

jfllP) Ii

+ A

fl(P))~~ (32)

and the term linear in e m equation

(30)

becomes

) /

~ l(nl~Y))~~lab,cd

~/cdlY).

(33)

rd

This in tutu v»11

multiply

trie cubic term in ~/ in equation

(18)

which can also ù~ written in trie form:

fl2 r

i~ff1/2

~

~~~~~~~"

~~~~

~~"~

~ ~ ~

~~f>""~9~'~"~~~'~~

j

~~ ~~f~~~~9~~~~~~~~~~' ~~~~

u~ ef gh lm

(8)

N°1

1IN

EXPANSION FOR MANIFOLDS IN RANDOM MEDIA 93

'

Qj

~ ~

'

j, /

~ _1--

~

/~ ~

k k

(a) ~b) (c)

~--,

U

/

'1

~

,(

/~ /~~~~~

(d) (f) (h)

~~~j Î

',~/ ~

/Îj"

~~I

(e) (g) ii)

Fig.

l. Sample Feynman diagrams representing some typical contributions to order

1/N: la)

Faithful representation of a

(#~)~

interaction

(of

order

1/N). (b)

Faithful representation of a

(#~)~

interaction

(of

order

1/N~).

(c) Effective four point interaction in a

(#~)~

theory

(of

order

1/N).

(d),(e)

Sample graphs contributing to the first term on the r-h-s- of equation

(31). (f),(g)

Sample graphs contributing to the second term on the r-h-s- of equation

(31)

in a

(#~)~

theory.

(h),(1)

Sample graphs contributing to trie third term on the r-h-s- of equation

(31).

More graphs cari be obtain by replacing bare interactions by dressed interactions, etc.

3. The

toy-mortel:

evaluation of the

1/N

corrections.

In order to evaluate the

1IN

corrections derived in the

previous

section we consider the

simplest

case of D = 0. We consider a

generalization

of the standard

toy~model

[18, 19,

14],

where the

partide

is embedded in N dimensions. At the end we compare our results with simulations

performed

for N

= 1

[14],

and find that even for such a small value of N trie corrections to trie

(9)

leading

N

= oo result go in trie

right

direction. Trie Hamiltonian is given

by:

H =

~w~

+

V(w) (35)

which describe a dassical

partide

moving in N-dimensional space and feels a

potential

which is a sum of both a harmonic part and a random paIt V. The random

potential

has a Gaussian

distribution with mean zero and variance given

by

the expression

lVlW)VIW'))

=

-Nfliw W'i~/N), j36)

where

f(y)

is given

by equation (3).

We are interested in the

long

range case y < 1, smce the

case ~ =

l/2

is of

particular

importance

[4-6j,

as it cari be

mapped

into the directed

polymer problem

in 1+1 dimensions.

Trie N

=

toy-model

bas been solved

by

Mezard and Parisi [14j using the variational approx- imation. Within this

approximation they

fourra a

"phase

transition" from a

high-tempeIature phase

characterized by

rephca

symmetry, to a

low-temperature phase

characterized

by

mfinite- step

(continuous)

RSB. This

phase

transition is an artificial property of trie variational

(or

equivalently large-N) approximation

but trie results obtained make otherwise much

physical

sense

[14j.

We

proceed by noting

that fol trie

toy-rnodel,

trie Iesults of trie previous section still

froid,

but now without trie internai variables x or p. Thus

°Îb

"

flg ~~~

~

~) ~~~~

~ £l

#

b> 137)

a(~

=

~j a(à, (38)

b(#aj

~~

"

i(/l °)

~~iab 139)

If one

applies

the variational approximation, instead of trie

large-N approach,

trie

only

diiference for finite N is that [8, 14]

~ ~

à

" ~

~~~

ij)li'~~ Ill

~~~

~

~~l~~ l~°~

The factor

p(N) multiplying

g

approaches

1 for

large

N but indudes corrections for finite N:

PIN)

" 1-

~~~~

'~~

+

(41)

Since we are

performing

a strict

1IN

expansion we will net indude trie factor

p(N).

Let us introduce trie reduced temperature variable

t =

fl~~ /1M (y2~~g)

~~

(42)

Note that this variable differs from that used in [14] since we use g and net in trie definition of t. For t > 1 trie

replica symmetric

solution to equation

(37)

is trie correct solution, smce trie

broken replica solution does net exist in this

region.

This means that

a$à

= s =

~

t~(~+~~ (a # b),

G$à

=

ôabÔ

+

il ôab)G (43)

7

(10)

N°1

1IN

EXPANSION FOR MANIFOLDS IN RANDOM MEDIA 95

with

Ô

G

=

~,

G

=

(. (44)

l~ l~

We

proceed

to evaluate ai tram

equation (31).

We need first a

parametrization

of the n~ x n~

matrices. In trie

replica symmetric

case it is

enough

to consider matrices

parametrized by

mine

distinct value

(this

is a more

general

form than that considered

by

Almeida and Thouless [22].

For a matrix

Mjaôj,jcdj,

where the square brackets mean that the order of trie indices a, b or b,c is

unimportant)

we set:

~laal>laal

" ~A ~laal>lbbl "

~B

~laal>laôj

"

MG Mjaôj,jaaj

"

~lCCl>laôj " MD

, Mjaôj,jccj "

,

~labl>laôj " MP Mjaôj,jacj "

MQ

Mjabj,jcdj "

MR. 145)

In

equation (45)

a

#

b

#

c

#

d.

In

Appendix

A we

give

trie expression for the

product

of two matrices which can be paramet- nzed in this way. The

product

is aise a matrix of this kind. Note that the unit matrix is net

actually

of this form since

laô,aô

= 1

# laô,ôa

# 0 and thus ares net have the symmetry property of

interchange

of indices in the same

subgroup

[ab] or [bc]. However this poses no

difficulty

as will be seen in the

sequel.

For the

toy-mortel

it easy to

verify

that

ql»

+

qλ 2ql»

=

~~~j ~~

=

) 146)

f"lql»

+

qλ 2qλ)

=

-(~ ())

% -c

(47)

The matrix A of

equation (24)

can be

parametrized by

A~ =

j-2c)jn i),

A~

=

j-2c)

Ac =

j-2c)j-i)

=

Ao,

Ap =

j-2c), j48)

ail other parameters

being

zero, and the matrix II of

equation (26)

is

given by

HA =

Ô~,

,

DB =

G~,

IIc =

ÔG

=

Ho,

DD

#

G~

=

Dû,

HP =

(G~

+

Ô~), H~

=

(G~

+

ÔG),

DR

=

G~, (49)

The

product

of A with fl is

given by

X=A.H=H.A=(Ô-G)~A=

~~A

(50)

l~

We would like to calculate the inverse of the matrix 1 + X.

Denoting

trie result

by

1 +

Y,

Y satisfies trie

equation

Y + X + YX

= o

(51)

(11)

The matrix Y can aise be

parametrized

as trie matrix M of

equation (45).

Trie value of the parameters obtained

by solving

equation

(51)

are

given

in the

Appendix,

where we defined

=

~(

=

jt~l~+~) (52)

l~

The matrix r defined in equation

(23)

cari now be

easily

calculated as A + Y A using again

the

product formula,

and the result is

simply

r =

-~2Y. (53)

The

replicon eigenvalue

[22] associated with e-propagatoI

(trie

minus

sign

is because of the definition of r in

Eq. (23))

is

given by:

2(Tp 2r~

+

rR)

= 2/~~

~ ,

(54)

and it becomes

negative

for 2À > 1, or

equivalently

t < 1,

signahng

the

instability

of trie

replica-symmetric

solution in that Iegion.

We are now in a position to evaluate trie first term

contributing

to

a(~ô

as given by equation

(31).

After some

algebra

we find:

~ ÎÎÎ

Il

2À) ~

~

il nÎÎÎI ~ÎÎÀ) ~ ÎÎÎ ~/À'

~~~~

We

proceed

to evaluate trie second term on the r-h-s- of equation

(31).

We use trie fact that

trie

Orly

non-zero parameters

characterizing

trie matrix t defined in equation

(25)

are:

tc = 1, tp = -1.

(56)

After some

algebra

we find that this terni contribute:

T2 " ~

~Ti (57)

Finally

we evaluate trie third term

contributing

to

a(~ô.

Trie calculation is rather

straight-

forward but tedious and trie final answer is

~

~ ~ ~ ~~

Il

~

Î~l

~ÎÎ)Îl~~ ~À)2 ~

~' ~~~~

Thus this term does net contribute in trie n - 0 limit.

It is

inteIesting

to note that in ail three terms

contributing

to a~

Orly

the combination G G appears which

depend only

on /~ but net on s as defined in

equation (44).

Trie total contribution to

a(~ô

is thus

~ ~ ~ ~ ~ 2

ji

~ ~ j ~

~

(59)

1 ~

~~~à

l-2À'

We bave verified that trie

diagonal

element of a~ satisfies trie relation:

a$~

+

In 1)a(~ô

= o. (Go)

Collecting

ail trie different

contributions,

trie total expression for «ah is given

by:

(12)

N°1

1IN

EXPANSION FOR MANIFOLDS IN RANDOM MEDIA 97

6 ,',

,' ,' ,' ,' ,' ,' ,' ,'

,' ,

5 ,'

,,' ,'

,' , ,'

à ."

oe ," '

8 ." ,'

4 .," ,

V .' ,

," ,

,." ,

-.-.-.;" ,'

, ,

3 ,'

' ' ' / /

2

2 3 4 5

1/

Fig.

2. Plot of w~

versus

1/fl.

The dotted-dashed fine are the result of the N

= cc calculation.

The continuous fine is the result of the variational calculation for N

= 1. [14j The dashed fine is ouf

result to order

1IN

in a strict

1IN

expansion. The plus marks represent data points from simulation of N

= 1 as reported in [14].

aa#à #

~t~(~+~)

Il ~~~~

'~~ ~ ~~

j~~~

+

,

(fil)

Tf 1 t~ ~

which is the main result of this section. Note that trie variational result for a which indudes corrections for finite N because of the

replacement

of g

by § (see Eq. (40) ),

is

given by:

ΰa#blHartree

"

t~l~+~~p(N)

#

t~~~+~~

Il ~~~~

'~~ +

,

(62)

and thus differs from trie exact

1/N

result

by

trie

replacement

1+

lt~(i+~)

l

-Î~li+~)

~ l>

(63)

which coincide m trie

high

t limit. Note aise that trie

1IN

corrections to a

diverge

for t -

as

expected,

because of trie

change

of

sign

of trie

replicon eigenvalue.

In terms of this result trie mean square

displacement

of trie

toy-model partide

is

given by:

liw~)

- -

Ii

+

VI

164)

In

figure

2 we

plot

trie mean square

displacement

versus trie temperature variable

llfl.

In order to compare with trie results of reference

[14j,

we choose 7

#

1/2,N

= 1,/1

= 1 and

g =

2~/(nfp(1)).

This choice makes trie relation between trie reduced temperature t defined in eq.

land

trie temperature

llfl

become:

t =

[p(1)j~/~(llfl)

=

o.86(llfl). (65)

(13)

Three

plots

are shown: The infinite N result, The result of trie vanational

approximation

for N = 1, [14] and trie result of trie

1IN

calculation as evaluated for N

= 1. Trie data points are results of simulations

repoIted

in reference [14]. These lie between trie result of trie variational

calculation and trie

1IN

result. Of course better results are

expected

for

larger

values of N.

As mentioned in trie introduction we

frape

that this calculation con be extended to trie case of RSB below t

= 1, as well as to

higher

dimensional manifolds. It indudes trie prerequisites needed to start

thinking

about

performing

such involved calculations. It is encouragmg the

our final

1IN

result tumed eut

quite simple

at the end. In the

replica

symmetric case the

expressions

on the

right

baud side of equations

(37, 31)

do Dot

depend

on

a°,

since

Orly

trie combination G turn up in trie calculation. Thus a is obtained

directly

without trie need for a self consistent solution. This is Dot trie case for trie RSB solution to

leading

order in

N,

[14] where one bas to salve for a° self

consistently.

We expect that aise to

O(1IN)

it

might

be

possible

to

replace

trie correlation function G°

by

G in the total

expression

for a to

O(1IN)

and salve for a

self-consistently,

which is the

equivalent

of trie

Bray

self-consistent screening approximation. [23] If this

approach

will lead to

meaningful

results remains to be seen in trie future.

Acknowledgements.

This work was

supported by

trie National Science Foundation under Grant number DMR- 9ol69o7.

Appendix.

Here we

give

trie formula for trie

product

of two matrices Z

= X Y each of trie type M

descnbed in section 3,

equation (45).

ZA=XAYA+(n-1)XBYB+2(n-1)XcYô+(n-1)(n-2)XDYb,

ZB

=

XAYB

+

XBYA

+

2XcYô

+

2(n 2)XCY~

+2(n 2)XDYô

+

In 2)XBYB

+

In 2)(n 3)XDYô, Zc#XAYC+XBYC+2XcYp+(n-2)XBYD

+2(n 2)XCY~

+

2(n 2)XDY~

+

in 2)(n 3)XDYR>

Z~

=

XôYA

+

X~YB

+

2XpY~

+

In 2)XôYB +2(n 2)XQY~

+

2(n 2)XQYô

+

In 2)(n 3)XRYô,

ZD =

2XBYC

+ XAYD + 2XDYp +

4XCYQ

+

In 3)XBYD +2(n 3)XCYR

+

4(n 3)XDY~

+

In 3)(n 4)XDYR, Zô

=

2X©YB

+

XôYA

+

2XpYô

+

4XQYô

+

In 3)XôYB

+2In 3)XRYô

+

4In 3)X~Yô

+

In 3)In 4)XRYô,

Zp =

2XôYc

+ 2XpYp +

In 2)X~YD

+

4(n 2)X~Y~

+

In 2) In 3)XRYR>

(14)

N°1

1IN

EXPANSION FOR MANIFOLDS IN RANDOM MEDIA 99

Z~

=

XôYc

+

XôYD

+

XbYc

+

2XpY~

+

2X~Yp

+

In 3)XbYD +2(n 2)X~Y~

+

2(n 3)X~YR

+

2(n 3)XRY~

+

In 3)In 4)XRYR,

ZR #

2XôYD

+

2X~Yc

+ 2XpYR +

BX~Y~

+ 2XRYp +

In 4)XbYD

+4(n 4)X~YR

+

4(n 4)XRY~

+

In 4) In 5)XRYR. (66)

The inverse of trie matrix 1+ X where X

= A H is

expressed

in trie form 1+

Y,

where Y is found

by solving

trie

equation

X + Y + X Y

= o. Trie matrix Y is found to be

parametrized

as follows:

~

in i)>ji 2jn 1)>)

A

ii n>)ji 2n>)

~ À(1 2À)

~

(l nÀ)(1 2nÀ)

~ ~

Àjl 2jn 1)À)

~ °

~jl nÀ)jl 2nÀ)

~ ~

2À~

~ ~

(l nÀ)(1 2nÀ)

2À~(1

2(n 1)À)

~~ Il

2À) ~

Il

2À)

Il nÀ) Il 2nÀ)

~ À~(1

2(n 2)À)

~

(l

2À)

(1- nÀ)(1- 2nÀ)

~~

(l

2À) (1

nÀ)(1 2nÀ)

~~~~

References

iii

Huse D.A. and Henley C.L., Phys. Reu. Lett. 54

(1985)

2708; Huse D.A., Henley C.L. and Fisher D.S., ibid 55

(1985)

2924.

[2] Kardar M., Phys. Reu. Lent. 55

(1985)

2923; Nucl. Phys. B 290 (1987) 582.

[3] Derrida B. and Spohn H., J. Star. Phys. 51

(1988)

817.

[4] Pansi G., J. Phys. France

51(1990)1595.

[Si Mézard M., J. Phys. France 51

(1990)1831.

[6] Bouchaud J-P- and Orland H., J. Star. Phys. 61

(1990)

877.

[7] Cook J. and Derrida B., Europhys. Lent. 10

(1988)

195; J. Phys. A 23

(1990)

1523.

[8] Mézard M. and Parisi G., J. Phys. France Il

(1991)

809 and J. Phys. A 23

(1990)

L1229.

[9] Bouchaud J.-P., Mezard M., Yedidia J-S-, Phys. Reu. Lent. 67

(1991)

3840.

(15)

[10] Halpin-Healy T., Phys. Reu. A 44

(1991)

R3415.

iii]

Fisher D.S. and Huse D.A., Phys. Reu. B 43

(1991)

10728.

[12j Kim J-M-, Moore M.A. and Bray A.J., Phys. Reu. A 44

(1991)

2345.

[13j Poirier C., Ammi M., Bideau D. and Troadec J-P-, Phys. Reu. Lent. 68

(1992)

216.

[14] Mézard M. and Pansi G., J. Phys. France12

(1992)

2231.

ils]

Goldschmidt Y.Y., Nucl. Phys. 8393

(1993)

507.

[16] Goldschmidt Y.Y. and Blum T., Phys. Reu. E 47

(1993)

R2979; gbgd E 48

(1993)

161.

il?]

Balents L. and Fisher D.S., Harvard Preprint, March

(1993).

[18] Villain J., Semeria B., Lançon F. and Billard L., J. Phys. C 16

(1983)

6153.

[19] Schulz U., Villain J., Brénn E. and Orland H., J. Star. Phys. 51

(1988)

1.

[20] Bremn E., Le Guillou J-C- and Zinn-Justin J., Phase Transitions and Critical Phenomena, Vol.

VI, C. Domb and M. S. Green Eds.

(Academic

Press, N. Y., 1976).

[21] Halpern M.B., Nucl. Phys. b 173

(1980)

504.

[22] de Almeida J-R-L- and Thouless D.J., J. Phys. A 11 (1978) 983.

[23] Bray A.J., Phys. Reu. Lent. 32

(1974)

1413.

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