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Local Mean Field Dynamics of Ising Spin Glasses

Tran Hung, Mai Li, Marek Cieplak

To cite this version:

Tran Hung, Mai Li, Marek Cieplak. Local Mean Field Dynamics of Ising Spin Glasses. Journal de

Physique I, EDP Sciences, 1995, 5 (1), pp.71-83. �10.1051/jp1:1995115�. �jpa-00247045�

(2)

Classification

Physics

Abstracts

75.10N 75.10H

Local Mean Field Dynamics of Ising Spin Glasses

Tran

Quang Hung(*),

Mai Suan

Li(**)

and Marek

Cieplak

Institute of

Physics,

Polish

Academy

of

Sciences,

02-668

Warsaw,

Poland

(Received

6 June 1994, revised 6 October,

accepted

10

October1994)

Abstract. The Glauber

dynamics

of three-dimensional

Ising spin glasses

are studied numer- ically m the local mean field approximation. The aging eifect is observed in both field cooled and

zero field cooled regimes but the remanent

magnetization

never reaches true

equilibrium.

The dynamic

susceptiblity

behaves like in experiments. A double

peak

structure in the real part of the

susceptibility plotted

as a function of temperature may appear for

non-symmetric

distribu-

tions of the

exchauge couplings.

This, however, does not indicate reentrancy. The temperature

dependence

of the

dynamic specific

heat is opposite to that found

theoretically

in small clusters.

l. Introduction

Intensive research on

Ising

spin

glasses (SG)

has led to a basic

understanding

of their

equi-

librium

properties Ill. Theory

of the

dynamic behavior, however,

is less

developed.

Thus

it seems worthwhile to

explore predictions

of

simple approximations

which deal with the

dy-

namics. An

approximation

which we focus on here is the local mean field

approach.

This method has

proved

to be an

adequate

tool for

studying equilibrium properties

of short range three dimensional SG'S and random field

systems [2, 3].

This invites one to

apply

it now to

dynamics

as defined

by

the Glauber model [4] and descnbed in more details in Section 2. We

study

the three dimensional Edwards-Anderson

Ising

SG and consider the

following subjects:

the

phenomenon

of agmg

(in

Sect.

3),

behavior of the

dynamic susceptibility (in

Sect.

3),

the

phenomenon

of reentrancy

(in

Sect.

4),

and

finally,

behavior of the

dynamic specific

heat

(m

Sect.

5).

The technical

advantage

of our

approach

over Monte Carlo is

that,

in

principle,

it allows for much

larger system

sizes and time scales which may

help

to establish true trends. Ex- act results for the

dynamic susceptibility là-?]

and

specific

heat [8] can be obtained

only

for small clusters and the behavior of these

quantities

can be related to the structure of local energy

(*)

On leave from Hanoi Technical University.

(**)

On leave from Thai Nguyen Techuical Institute.

©

Les Editions de

Physique

1995

(3)

minima. The studies of clusters are

illuminating

but the

problem

with clusters is that

they display

no finite critical

temperature

so the cntical behavior cannot be

investigated.

Dur basic results can be summarized as follows:

a)

The

aging

effect

[9-13]

is

present

within the local mean field

approach.

What it means is

that the remanant

magnetization depends

on how

long

a

magnetic

field has been

applied

before

switching

it off.

However,

the

magnetization

does not

decay

to zero

monotonically. Instead,

it reaches a

non-equilibrium plateau reflecting shortcommgs

of the method.

b)

Dur results on the

dynamic susceptibility

in SG'S are m a

qualitative agreement

with the experiments.

c)

For

non-symmetric

distributions of the

exchange couplings

as studied in the context of the

SG-ferromagnet

transitions the real

part

of trie

dynamic susceptibility displays

a two-

peak

structure as a function of

temperature,

T. We

speculate

that in expenments this could

be taken as a manifestation of the

reentrancy phenomenon [14].

We

show, however,

that this

interpretation

is not correct.

d)

The

frequency dependence

of the

dynaiuic specific

heat is shown to be similar to that found for the

six-spm

cluster [8]. The

temperature dependence, however,

is

opposite:

the

maxima in the real and

imagmary

parts move towards

higher temperatures

on

decreasing

the

frequency.

The

dynamic specific

heat has been measured in

glasses [15,

16] but not

yet

in SG'S.

It is

hoped

that this paper will

trigger

interest in such

experiments.

2. Mortel and Metl~od

We consider the Hamiltonian

~ "

~ J>jS,Sj

H

~S~, (1)

<q> ~

where S~ =

+1,

<

ii

> denotes summation over nearest

neighbors,

the

couphngs fg

are

Gaussian distributed with trie mean

Jo

and trie

dispersion

J. Trie

magnetic

field considered bene is time

dependent

and

H =

Ho

+

Hi

cosuJt.

(2)

According

to Glauber [4],

dynamics

of trie

Ising system

may be

govemed by

the

followmg equation

(1+

To ~ <

S~(t)

> = < tanh

flhi

> +

(1-

<

Si

tanh

flh~ >) tanh(flH)

,

(3)

where

hi

=

~j fg Sj

is the

exchange

field

acting

on spm

Si.

In what follows we will

adopt

the

J

local mean field

approximation

m which <

tanhflh~

> is

replaced by tanh(fl

< h~

>).

This

brings equation (3)

into the form

(i+To))m~(t)

=

tanin(fl~fjmj)

J

+

tanin(flH) Il

m~

tanh(fl ~j fg

mg )]

,

(4)

J

where

titi " < S~ >

(5)

(4)

In the static

limit, equation (4)

reduces to the standard local mean field

equation [2],

1-e- to the TAP

equation

without the

Onsager

reaction term

II?I.

It should be noted that inclusion of the reaction term in

systems

with short range

couplings

would lead to

unphysical

results

(the

field cooled state, for

example,

may

acquire negative

entropy at low

T) [2, 18].

To solve

equation (4)

we will use the fourth-order

Runge-Kutta

method with the

step

size control

[19].

3.

Aging

EoEect

There have been several

phenomenological attempts

to descnbe the

physical

mechanism of agmg

[20-25]. Recently,

it bas been shown that a mean-field

dynamical

model

(a spherical

SG with

multi-spin interaction)

can exhibit

aging

effect in trie

thermodynamic

limit

[26].

Monte Carlo

study

of the 3D Edwards-Anderson mortel

[27, 28] gives quantitative agreement

with

experiments.

In this section we deal with the standard SG

(Jo

#

o,

J

# o)

and ask what would be the

predictions

of the local mean field

approximation.

We first consider field cooled

(FC)

and then

zero filed cooled

(ZFC) regimes.

FC REGIME. In a

typical experiment [9, loi

in which the FC

aging

effect is observed one first cools the system down below the

freezing temperature, Tg,

and

keeps

the

magnetic

field

constant. After a certain

waiting time, tw,

the field is switched off and the thermc-remanent

magnetization, Mrm (t),

is measured as a function of t. The

asymptotic

time

decay

of this quan-

tity,

well below

Tg,

is found to follow an

algebraic

law. This is

found,

for

instance,

in the short range SG

Feo ômno ôTi03 (II,

12] and in an

amorphous

metallic SG

(Fe~Niji-~~)76P16B6Al~

[13].

We consider several ways of

cooling.

In the first way, the

system

is

cooled, using

the static local mean field

equation,

from T

=

7J/kB (T

>

Tg

m

5J/kB)

down to T

=

2.5J/kB (the temperature step

is

o.o5J/kB)

and

Ho

# 0.5J. The field is then

kept

fixed for a

waiting

time tw and trie

dynamic equations

are used. The field is

subsequently

switched off. Trie remanent

magnetization Mrm(t)

is calculated as a function of time t

(from

the moment when the field is switched

off).

We find that if the

coohng

is done m the static way the agmg effect is absent:

Mrm(t)

reaches the same

plateau

at

long

time scales for different

waiting times,

1-e- there is no

dependence

on tw.

In the second way, we cool the

system

_in the field from above to below

Tg

very

qmckly.

In this case a

spin configuration

alter trie

coohng

is

essentially

random

(spins

take values of +1

randomly)

with a zero

magnetization.

This

configuration

is used as a

starting configuration

to solve

equation (4).

A similar

approach

has been used in trie Monte Carlo simulations of

Rieger [28].

We can show that within the local mean field

approximation

trie

aging

effect is absent in

systems

with L < 4 but for

larger

L's it is more and more

pronounced.

The time

dependence

of

Mrm(t)

obtained for vanous

waiting

times is shown m

Figures

1 and 2 for L

= 10 and L

=

systems respectively. Clearly,

the

aging

effect is

present

but

Mrm(t)

reaches a

plateau

instead of

going

to zero

monotonously.

We have considered times up to

105To

and saw no

changes

m

Mrm(t).

We now consider the third way of

coohng

when the

coohng

rate is finite. One starts from

high temperatures

and then decreases T

linearly

with t,

1e.,

T(t)

=

Tst ~~ ~~~t

tcooi ,

where T~t and

Tend

are

starting

and final

temperatures respectively.

tc~~j is a

coohng

time. At T =

2.5J/kB

the field is

kept

for some

waiting

time and then it is swiched off.

Figure

3 shows

(5)

0.4 0.4

3D SG, L=la 3D SG, L=15

,',

0.3 RANDOM CONFIGURATION 0.3 ' RANDOM CONFIGURATION

'.,

',

'

',

Î

_f~ ~=100 _f~ ' ~=100

0.2 ~=10 0.2

(

~"10

~"~

ZÎ ',

~~~

',

"

o-i ai

o-o O.O

-1 0 2 3 4 5 -1 0 2 3 4 5

log

t

log

t

Fig.

l

Fig.

2

Fig.

l. The time

dependence

of

Mrm(t)

for the L

= 10 system

(Ho

= 0.5J, T

=

2.5J/kB)

for diiferent

waiting

times as indicated. The initial

spin configuration

is random

(tca~i

-

0)

but it is identical for each of the waiting times.

Mrm(t)

reaches a plateau at long time scales.

Fig.

2. Same as in

Figure

1 but for L = là.

results for the L = 10 system and tc~~j = To. The agmg effect is present but it

gets

weaker

compared

to the case of the very

quick cooling.

ZFC REGIME. The

aging

elfect may be aise observed in the ZFC

expenments:

the

sample

is

rapidly

cooled from above to below

Tg

m zero field and

then,

after a time

tw,

a small field

is

applied. Then,

the increase in

M(t

+

tw)

is measured as a function of t.

Consider the second way of

coohng:

the

system

is cooled down very

quickly

to T

=

2.5J/kB

but without the field. After

tw,

the field H

= 0.5J is switched on. The agmg effect in the ZFC

regime

of the L

= la system is shown in

Figure

4.

Again M(t)

has a

plateau

at

large

t. The

aging

effect for other

cooling

ways is shown to be similar to that for the FC

regime.

We have considered various values of

Ho

The results are

qualitatively

the same as those

presented

in

Figures

1-4. Thus within the local mean field

approximation

one con observe the

aging

effect but this

approximation

is not sufficient to monitor any further evolution towards

equilibrium.

The fluctuations are smoothed out and the

system

stays frozen in a local minimum.

These results are not

changed

when an

improved

mean field method is

adopted,

as shown in the

Appendix.

It should be noted that more

comphcated

agmg scenanos

involving

"tem-

perature jumps"

in the manner of

expenments

of reference [29] have been also studied

by

the Monte Carlo simulations

[30].

4. AC

Susceptibility

of tl~e Standard SG

The

experimental

literature on AC

susceptibility

of SG is qmte substantial

(see,

e-g-,

Iii ).

The basic

finding

is that when one fixes uJ and

plots x'

as a function of T then one

gets

a curve

with a maximum. For

large

uJ's the maximum is rather broad. On

decreasing

uJ the

position,

(6)

04 0.3

3D SG, L=10

3D SG, L"10

°.~ tcoai~Î

o-z

àÎ

~=100 'J

0 2 ~"10

à

~~~ ~-

~=5

0.1 ~"10

~=io0 0. i

ZFC

regime,

H=o.5J

O.O O.O

-1 0 2 3 4 5 -1 0 2 3 4 5

~°~ log

t

Fig.

3

Fig.

4

Fig.

3. The aging eifect for the L

= 10 system and icaai " TO

(Ho

" 0.5J, T

=

2.5J/kB).

The system is cooled down from T

=

8J/kB

to T

=

2.5J/kB.

The temperature varies with t

linearly.

Fig.

4. The agiug eifect in ZFC

regime

at T

=

2.5J/kB (H

= 0.5J, L

=

10).

The results

correpond

to the very

quick cooling

regime

(icaai

-

0).

o-z o-z

improved

LMF

~=ioo

z~ z~ LMF

~

~-zoo ~

S o i ~UIOO S

o i

~j

~=20

~j

à à

improved LMF

O.O o_o

0 2 3 4 5 o 2 3 4 5

Îog

t

iog

t

Fig.

5

Fig.

6

Fig. 5. The time

dependence

of

Mrrr(t)

obtained in the

improved

local

mean field

approximation

for the L

= 10 system

(Ho

= 0.5J, T

=

2.5J/kB)

for diflerent waiting times. The solid, dotted and dashed curves

correspond

to tw = 20To,100To and 200To

respectively.

The initial spin

configuration

is

random.

Mrrr(t)

reaches a

plateau

at

long

times.

Fig.

6. The time

dependence

of

Mrrr(t)

for tw = 100To, T =

2.5J/kB,

and Ho = 0.5J. The solid and dashed curves

correspond

to trie

improved

local mean field and local mean field

approximations respectively.

The asterisk marks the value of tp

(tp

cs 155To and 485To in the local mean field and improved local

mean field

approximations respectively).

(7)

Tw,

of tue maximum moves towards lower

temperatures

alrd it

sharpens

up. In tue DC limit tue maximum

acquires

a

cusp-like

appearance and Tw -

Tg.

Tue

absorptive susceptibility x",

on tue other

hand,

bas a small but distinct

anomaly

around

Tw.

This

anomaly

looks like a skewed

peak

or a kink. In order to calculate tue

dynamic susceptibility

for a state as close to tue

equilibrium

as

possible,

we

adopt

tue

following procedure.

Tue system is cooled down

statically

to a

temperature

under consideration and then a small AC field

(Ho

=

0)

is

switched on, and tue Glauber

dynamics

are

implemented.

Thus for a given T tue

starting spin configuration

is obtained from tue static solution of tue local mean field

equations.

Tue AC field is switched on at t

= 0. We start to monitor tue

magnetization

after some time to, chosen

so that ail transient

exponentials

can be considered

extinct,

and we fit it to

M(t)

=

Hi IX' sin(uJt)

X"

cos(uJt)j (6)

In our case one needs to about

3To,

where To is a

period (To

"

27r/w),

and tue average is done

typically

over 7

periods

which bas been found to be more than suflicient. We take

Hi

to be

equal

to 0.01J: smaller values of

Hi

leave tue result almost

unchanged.

Figure

7 shows tue

temperature dependence

of tue

susceptibility

for selected values of w

and for

Jo

" 0. Tue results are

averaged

over 10

samples.

Tue maxima of

x'

and

x"

move

toward lower

temperatures shghtly

as w is decreased

indicating

that tue effective

paramagnet-

SG transition

temperature Tg(w)

decreases with

decreasing

w. It should be noted that tue

corresponding

maximum of tue static

susceptibility x(w

=

0)

is located at T m 3.8J. Within tue local mean field

approximation

this

position

does not coincide with tue

paramagnet-SG

transition

temperature Tg

m 5J which may be determined

by

other criteria: from tue maxi-

mum of tue nonhnear

susceptibility

or from tue condition that tue Edwards-Anderson order

parameter

vanishes [31]

(Monte

Carlo calculations

give

an estimate of

Tg

m J

iii ).

Tue results

presented

in

Figure

7 are very similar to those obtained for the standard SG

Aui-~Mn~

with

x = o.0298

[32]

and for

Euo.2Sro.85

[33] and also to what

happens

in tue cluster

systems except

that in small clusters tue

w - 0 limit

corresponds

to a curve with no cusp.

In

Figure

8

X'

and X" are

plotted

versus

logw

for T

=

2.5J/kB

and

3.5J/kB.

At low

frequencies X' depends

on

log

w very

weakly.

As w goes to zero tue

absorption

part

x"

vanishes.

This part of tue

susceptibility

appears to

satisfy

an

approximate

relation

X"(uJ)

m

-bôX'(uJ)/ôlnuJ (7)

with b

= 1.23 + 0.05. Tue

right-hand

of

equation (II)

is also shown in

Figure

8.

Lundgren

et ai. [34] derived a b of

7r/2

which dilfers from our result. Tue value of

7r/2 depends

on tue

assumption

of

log-uniform

relaxation times which does not seem to be accurate in tue local

mean field

approximation.

Figure

9 shows tue Cole-Cole

plot

for

X'

and

x"

for two selected values of T below

Tg.

These

curves bave a

shape

of a semicircle.

5.

'Reentrancy'

One of tue

interesting problems

of tue SG

physics

is a

question

of tue

reentrancy:

is there

a transition from tue

ferromagnetic phase

to tue SG

phase

on

lowering temperature.

So

far,

theoretical

studies

of static

properties

of

short-range Ising

SG'S

give

no evidence ioT the reen-

trancy phenomenon [14].

One may

suggest

that the reentrancy may be

dynamical

in nature,

i e.

resulting

from

considering

finite observation times. In order to check

this,

we bave stud- ied tue

temperature dependence

of

x(w)

in

systems

with

asymmetrically

distributed

exchange

couplings

for various

frequencies.

(8)

0A ,-,

°'~

,'p~,

'~

~~°

0.3

T=2.5J/kB

~ o oi

T=3.5J/kB

0.3 ~ ---,

~ . 0.05 o_z

~ Ù-1

o-z o-i

o-o o-1

0-10 ,~'

' '

o io ~fh

z

~ ~,' (

g~,1

~ '

g ~ ,'

~~ ii 0 05 ~

'r ''

~*~ ô

~~ ô '

~~

~ , ~

~

~~" &~~

~

~/~l

j

Î

0.00 " ~

o.05 '* * 1

/*

é * Â

~

~ ~ ~

Il

~

~ ~'~~~4

~3 ~2 ~l 0 2

"

logio

°'°°

~ z 4 6 8 la

kBT/J ~ig

8

Fig.

7

Fig.

7. Temperature

dependence

of trie ac

susceptibility

of trie standard spin

glass. Open triangles,

closed

triangles

and stars

correspond

to wTo

= o-1, 0.05 and 0.01

respectively.

Trie maximum of

x'

and x"

slightly

moves towards lower temperatures. Trie dashed curve

corresponds

to trie static case of w = 0. Results are

averaged

over 10

samples.

Fig.

8. Plot of

x'

and

x"

~ersus

loguJ

for T

=

2.5J/kB (dashed litre)

and T

=

3.5J/kB (solid fine).

Closed

triangles corresponds

to

-box'(w)/ôInw

for T =

3.5J/kB,

where b

= 1.23 + 0.05. Within trie

error bars b is trie same for both temperatures.

o.15

.

T=2.5J/kB

.

T=3.5J/kB

o.io

o.05

o.oo

Ù-o o-1 o-Z 0.3 0.4

X'

Fig.

9. Trie Cole-Cole

plot,

le-, x" w.

x'

for T

=

2.5J/kB (closed triangles)

and T =

3.5J/kB

(closed circles).

(9)

1.i

Jo=o.9J Jo=i.iJ

0.5

LJTO"o.05 LJTO "o.i

O.g

0.4 0.7

0.5 0.3

o.7

~

o-fi

~

o.5

0.3

o-o o-1

6 7 6 7 8 9 io

k~T/J k~T/J

Fig.

10

Fig.

Il

Fig.

10. Temperature

dependence

of

x'

and x" for Jo

" 0.9J and wTo

" 0.05 for 3

samples (L

=

10).

For each

sample x'

bas two

peaks

which

probably correspond

to trie

paramagnet-ferromagnet

and trie reentrant transitions.

Fig.

ii. Trie same as in

Figure

8 but for Jo # I.lJ and wTo

# Ù-1.

It appears that the

theory

of

short-range Ising

SG'S gives no evidence for the

reentrancy

in the static

regime [14].

The

question

we ask in this section is whether

reentrancy phenomenon

is

possible

on short time scales. To answer this

question

one bas to calculate tue AC

susceptibility

for various values of tue mean,

Jo,

of tue

couplings.

Within tue local mean field

approximation

tue

ferromagnetically

ordered

phase

exists at low T's for

Jo

> 0.6J

[31]. Figure

10 shows tue T

dependence

of

X'

and

x" (Jo

=

0.9J,

wTo "

0.05)

for 3 dilferent

samples

with L

= 10. A

similar

plot

for

Jo

" I.IJ and wTo

= o-1 is shown in

Figure

Il. For each of these

samples

we observe two

peaks

in

x'

as a function of T. Tue

temperatures corresponding

to tue two

peaks

will be denoted

by TÙ/~

and

Tù/~

where tue latter is lower. We calculated

TÙÎ~

and

TÎÎ/x

in each of tue 10

samples

and took their average. Tue results are shown in

Figure

12.

The dilference between

Tù/x

and

Tùàx

is found to decrease

on

lowering

w and the two

peaks

comcide at wTo < 0.008. A

possible interpretation

of the two maxima structure could be that

TÙ/x corresponds

to transition between

paramagnet

and

ferromagnet,

and

Tflx

to tue

transition between

ferromagnet

and SG. It is

possible

that this is how tue

experiments

bave been

interpreted

when tue reentrancy was involved.

However,

it appears that such

interpretation

would be

misleading

for several reasons.

First,

tue

Jo-dependence

of

TÎÎ/x

is not at ail like

predicted by

tue mean field theories

(infinite

range

systems)

of

reentrancy iii TÎÎÎ~

increases

with

Jo

instead of

decreasing. Second,

tue two

peaks

appear also in tue

equilibrium

SG

regime.

(10)

ù~i~

8 o.i p~

o.05 o.coi

à

~

É

~

FM

SG

0

O.O O.5 1-O

Jo/J

Fig.

12. The T Jo

phase diagram.

Trie solid fine

corresponds

to trie

equilibrium

case

(trie

curve

is obtained from maximum of trie

susceptibility). PM,

FM and SG denote trie paramagnet,

spin glass

and

ferromagnetic phases respectively.

Trie

dotted,

dashed and

long-dashed

fines correspond to TÙÎX and

Tflx

obtained for

wTo = 0.1, 0.05 and 0.01

respectively.

Trie diflerence between two temperatures

is found to decrease on

lowering

w. For wT < 0.008 TÙÎX and

Tflx

coincide.

Thus origins of any true

reentrancy

in short range

systems

remain misterious or are a result of mistaken

interpretation

of

experimental

data. In

addition,

tue

puysics

of tue

two-peak

structure remains to be elucidated. Most

likely

it relates to some cluster excitations.

6.

Dynamic Specific

Heat

Tue

specific-ueat spectroscopy

bas been demonstrated to be a useful tool for

studying

relaxation processes in

supercooled liquids [15, 16].

In a

typical experiment [15]

one immerses a ueater into tue

liquid

and

apphes

a sinusoidal current at

frequency

w. Tue power

dissipated

contains

a DC

component

and an AC

component

at

frequency

w,

ranging

between 0.2 Hz and 6 kHz.

Tue AC

component,

results in

puase-suifted temperature

oscillations and defines tue

complex specific

ueat. Tue DC component, on tue otuer

uand,

is not

relevant, provided

the thermal

response is measured

locally.

Birge

and

Nagel

[15]

pointed

out tuat in unfrustrated materials and standard

hquids

tue real part of tue

specific

ueat

c'(w)

does not

practically depend

on w and tue

imaginary part

is almost zero. In tue case of

SG'S, uowever,

and

presumably

of otuer

systems

witu many modes of

configurational relaxation,

tue

dynamic specific

ueat may be used as anotuer

probe

of SG

dynamics [8].

Indeed tue

dynamic specific

ueat

couples

to tue time evolution of even-spin correlations wuereas tue

dynamic susceptibility

is given in terms of

odd-spin

correlations.

By working

witu a

six-spin

cluster

Cieplak

and Szamel demonstrated [8] tuat tue

temperature

and

frequency dependence

of tue

dynamic specific

ueat is similar to tuat of tue

dynamic

susceptibility

except tuat tue former is not alfected

by

processes

coupled

to tue very

longest

relaxation time in tue

system.

Wuen one fixes w and

plots

c' and c" as a function of T tuen one

gets

a curve witu a maximum. On

decreasing

w tue

position

of tue maximum moves towards

jower

temperatures

and it

suarpens

up. For a fixed

T,

one can show tuat in tue w - 0

limit,

c' reacues a

plateau

wuereas c" vanisues [8].

Tue

question

we ask now is wuat is tue beuavior of tue

dynamic specific

ueat of tue

system

(11)

undergoing

tue transition to tue SG

phase

at T

#

0? In order to answer tuis one suould find tue time evolution of tue internai energy because tuis is tue

quantity

wuicu defines tue

dynamic specific

ueat. In tue local mean field

approacu,

tue energy is determined not from

two-spin

correlations but from tue local

magnetizations.

Tuis could be a reason

wuy

our results will be found dilferent from tuose obtained for clusters. Tue otuer reason could be tue existence of a finite critical temperature.

In tue

experiments

on

liquids,

an

oscillatory

ueat causes

temperature

oscillations. For a tueoretical

study

of SG'S it is more convenient to define tue same

dynamic specific

ueat

by inverting

tue situation. We thus propose tuat tue

temperature

of tue

spin

system varies

periodically

witu time:

T(t)

= T +

ôTsin(wt)

,

(8)

wuere ôT is assumed to be small relative to T.

Tue

perturbation

in T results in a

oscillatory

evolution of tue internai energy. Tue

oscillatory part

of the average

Hamiltonian,

< H >, will be denoted

by

à < H >. When transients die out one can define c' and c" as follows

à < H >

IN

= ôT

[c'(w) sin(wt) c"(w) cos(wt) (9)

Tue time evolution of à < H > bas to be tuen determined and we use

equation (4)

witu H

= 0

for tuis purpose.

Tue initial

configuration

for tue time evolution bas been obtained in an

equilibrium

way for eacu T. We monitor à < H > and fit it to

(9)

after some time

to,

cuosen so tuat ail transient

exponentials

can be considered extinct. In our case one needs ta of about

5To,

wuere

Ta

is a

period

of the

temperature

oscillation. Dur calculations have been carried eut for the 3D

system

of size L = 10. A suflicient

averaging

of

c'(w)

and

c"(w)

is

accomphshed

over 10

periods.

The

amplitude

ôT is taken to be

equal

to

0.01J/kB (the

results remain almost the same for smaller

ôT).

Figure

13 shows the

temperature dependence

of the

dynamic specific

heat for selected values of w. The maxima of c' and c"

move toward

higher temperatures

as w is decreased. It should be noted that an

opposite tendency

has been observed bath

experimentally

and within the

dynamic

local mean field

approximation

for the

dynamic magnetic susceptibility.

It is aise

opposite

to what has been observed for the

6-spin

cluster. The

longer

the

period

of

oscillations,

the doser c' resembles the

equilibrium specific

heat. The

plots

of c" versus T are similar to those of c'

exept

that the w

= 0 limit

corresponds

to c"

= 0. Thus the smaller w, the smaller

is the maximum.

We now tutu to the discussion of the

frequency dependence

of the

dynamic specific

heat.

Figures

14 and 15 show c' and c" versus

logiow, respectively.

These curves resemble those for the

dynamic susceptibility.

At low

frequencies

c' becomes saturated. The dilference between

our results and the results obtained for the

toy

model [8] is observed for c". In the case of the

six-spin cluster,

c" may have two maxima at low

temperatures

which reflect the elfect of two

separated long

relaxation modes. In our case one has

only

one maximum This may be

explained by

tue fact tuat our

system

bas many

long

relaxation times and tue elfect of

individual modes is smootued eut. From

Figures

14 and 15 it is clear tuat any maximum

in

c" is bound to be located at a

frequency

wituin a

region

of increase of c'.

Figure

16 shows tue Cale-Cale

plots

on wuicu c" is drawn as a function of c'. For ail

temperatures

tue

plot

bas a circular

suape.

In tue case of tue six-spin cluster tue curve cari consist of two

overlapping

semicircles [8]. Dur results for tue Cale-Cale

plots

are similar to tuose for tue

dynamic susceptibility (see Fig. 9).

It would be

interesting

to confront tue results on

dynamic specific

ueat witu

experiments.

(12)

ù-fi ù.3

,-,~

L~i~ L~i~

', 0

-- D.I

' -- D,1

~-~- 0.25

ù.4 --- 0.25 Ù-Z 0.5

, -- 0.5

r i,

o-z o-i

ù-ù ù-ù

ù 2 4 6 8 ù 2 4 6 8

kBT/J kBT/J

a) b)

Fig.

13. Trie real and

imaginary

parts of trie

dynamic specific

heat for trie 3D system

(L =10)

as

a function of T. Trie dasued fine

corresponds

to the

equilibrium specific

heat obtained in trie local

mean field

approximation.

Trie stars, open and closed

triangles

correspond to wTo

" Ù-1, 0.25 and Ù-à,

respectively.

ù.3

~

~

~~~

0.4

ù-Z

~ l 75

C1,

~ 2.5

o-z

o-i

ù-ù ù-ù

-3 -2 -1 ù 1 2 -3 -2 -1 ù 1 2

logio

logio

Fig.

14

Fig.

15

Fig.

14. Trie real part of trie

dynamic specific

heat w.

Îogio

w for T

=

2.5J/kB,1.75J/kB

and

I.oJlkB

as indicated. At low frequencies c' reaches a

plateau.

Fig. 15. Same as in

Figure

14 but for the imaginary part of the

dynamic specific

heat. It goes to

zero in the

w - 0 limit.

Acknowledgments

We

acknowledge partial support

from the Polish agency KBN

(grant

number 2P302 127

07).

(13)

ù.3

2.5J/kB

ù-Z C

1.75J/kB

o-i

I,ùJlkB

o-ù

ù-ù o-Z ù.4 ù-fi

C~

Fig.

16. The Cole-Cole

plot,

i-e-, c" vs, c' for selected T ilrdicated lrext to the

curves. For ail

temperatures considered these curves have a semicircular

shape.

Appendix

Improved

Local Mean Field

Approximation

Here we discuss the aging elfect wituin the

improved

local mean field

approximation [35].

Tuis

approacu

is

equivalent

to an

approximate

evaluation of <

tanu(h,)

> witu a factorized statistical

weigut P(S)

=

fl~ (l+

< S~ >

S,)

or to

expanding tanu(h,)

as a sum over ail

possible products

of

Sj (up

to tue fiftu order in D =

3), taking

into account tuat

S)

= 1.

Adopting

tue first way we cari write

equation (3)

in tue form

(i +To()mi(t)

=

11 fli(i

+

SJmJ)/21tanh(fI~JIJSJ)

ls, j j j

+

(1-

mi

£ fl[(1+ Sjmj)/2] tanu(fl£ J,jsj)) tanu(flH) (10)

ls, j j j

Using

tue last

equation

we bave considered tue aging elfect in tue FC regime.

Figure

5 shows tue time

dependence

of

Mrm(t)

for selected

waiting

times at T

=

2.5J/kB (the cooling

down to this

temperature

is assumed to be toc

quick

so that one can use the random

spin configu-

ration as a

starting configuration). Clearly,

similar to tue results obtained in tue local mean field

approximation, Mrm(t)

reacues a

plateau

at

long

times. Tue time scale

tp required

to

reacu a

plateau

in tue

improved

local mean field

approximation

is,

uowever, larger

tuan tue

corresponding

time scale obtained in tue

simpler approximation.

Tuis can be seen in

Figure

6 wuere

Mrr~z(t)

calculated

by

tue two metuods is suown for tw =

l0oTo,

T

=

2.5J/kB

and L = 10. In tuis case tue local mean field

approximation

gives

tp

m

155To

wuereas tue

improved

local mean field leads to

tp

m

485To.

Thus tue time scales are enuanced but tue

approacu

to a true

equilibrium

is still absent.

References

iii

Binder K. and

Young

A. P., Rm. Med.

Phys.

58

(1986)

801.

[2] Soukoulis C.

M.,

Levin K. and Grest G.

S., Phys.

Re~. Lett. 48

(1982)

1756;

Phys.

Rev. B 28

(1983)

1495.

[3] Soukouhs C.

M.,

Grest G.

S.,

RD C, and Levin K., J.

Appt. Phys.

57

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3300;

RD

C.,

Grest G.

S.,

Soukouhs C. M, and Levin K., Phys. Rev. B 31

(1985)

1682;

Grest G.

S.,

Soukouhs C. M, and Levin

K., Phys.

Rev. B 33

(1986)

7659.

(14)

[4] Glauber R. J., J. Math.

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4

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294.

[5] Banavar J. R.,

Cieplak

M. and Muthukumar M., J.

Phys.

C18

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Cieplak

M. and Lusakowski

J.,

J.

Phys.

C19

(1986)

5253.

[6]

Cieplak M., Cieplak

M. Z. and Lusakowski

J., Phys.

Rev. B 36

(1987)

620 and references therein.

[7] Kinzel

W., Phys.

Rev. B 26

(1982)

6303;

Reger

J. D. and Binder K., Z.

Phys.

B 60

(1985)

137.

[8]

Cieplak

M. and Szamel G.,

Phys.

Rev. B 37

(1988)

1790.

[9]

Lundgren

L., Svedlindh R., Nordblad P. and Beckman O.,

Phys.

Rev. Lent. 51

(1983)

911.

[loi

Chamberlin R.

V.,

Mozurkevich G. and Orbach R., Phys. Rev. Lent. 52

(1984)

867;

Ledermann

M.,

Orbach

R.,

Hammann J.

M.,

Ocio M. and Vincent

E., Phys.

Rev. B 44

(1991)

7403.

[iii

Ito A.,

Aruga H.,

Torikai E., Kikuchi

M., Syono

Y. and Takei H.,

Phys.

Rev. Lent. 57

(1986)

483.

[12] Gunnarson K., Svedlindh P., Nordblad P.,

Lundgren

L.,

Agura

H. and Ito A.,

Phys.

Rev. Lent.

61

(1988)

754.

[13]

Granberg

P., Svedlindh P., Nordblad P.,

Lundgren

L. and Chen H. S.,

Phys.

Rev. B 35

(1987)

2075.

[14j Southem B. W. and

Young

A. P., J.

Phys.

C10

(1977)

2179j

Zaluska-Kotur M. A.,

Cieplak

M. and Cieplak P., J. Phys. C 20

(1987)

37441;

Reger

J. D. and

Young

A. P., J.

Phys.:

Condens. Marrer1

(1989)

915;

Gingras M. J. P. and Sorensen E. S., Phys. Rev. B 46

(1992)

3441.

[15]

Birge

N. O. and

Nagel

S. R.,

Phys.

Rev. Lent. 54

(1985)

2674;

Birge

N. O.,

Phys.

Rev. B 34

(1986)

1631.

[16] Christensen

T.,

J.

Phys. Colloq.

France 46

(1985)

C8-635.

[17] Thouless D.

J.,

Anderson P. W. and Palmer R.

G.,

Philos.

Mag.

35

(1977)

593.

[18]

Ling D.,

Bowman D. R. and Levin

K., Phys.

Rev. B 28

(1982)

262.

[19] Press W. H., Flannery B. P.,

Teukolsky

S. A. and

Vetterling

W.

T.,

"Numerical

Recipes" (Cam- bridge

Univ. Press,

1986).

[20] Palmer R. G., Stein D. L., Abrahams E. and Anderson P.

W., Phys.

Rev. Lent. 53

(1984)

958.

[21] Koper G. J. and Hilhorst H.

J.,

J.

Phys.

France 49

(1988)

429.

[22] Fisher D. S. and Huse D.,

Phys.

Rev. B 38

(1988)

373.

[23] Sibani P., Phys. Rev. B 35

(1987)

8572;

Hoflmann K. H. and Sibani

P.,

Z.

Phys.

B 80

(1990)

429.

[24] Bouchaud J.

P.,

J.

Phys.

France 2

(1992)1705.

[25]

Ginzburg

S.

L.,"Irreversible

Phenomena m

Spin

Glass"

(in Russian) (Moscow:

Nauka,

1989).

[26]

Cugliandolo

L, F. and Kurchan J.,

Phys.

Rev. Lent. 71

(1993)

1.

[27] Andersson J. -O., Mattsson J. and Svedlindh P.,

Phys.

Rev. B 46

(1992)

8297.

[28] Rieger H., J.

Phys.

A 26

(1993)

L615.

[29]

Granberg

P., Sandlund L., Nordblad P., Svendlidh P., and

Lundgren

L.,

Phys.

Rev. B 38

(1988)

7097.

[30]

Rieger

H., J.

Phys.

I France 4

(1994)883;

Cughandolo

L. F., Kurchan J. and Ritort

F., Phys.

Rev. B 49

(1994)

6331.

[31] Hung T. Q., Li M. S. and

Cieplak

M., J. Magn.

Magn.

Mater.

(in press).

[32] Mulder C. A.

M.,

van

Duyneveldt

A. J. and

Mydosh

J.

A., Phys.

Rev. B 25

(1992)

515.

[33] Huser D. L.

E., Wenger

A. J., van

Duyneveldt

A. J. and

Mydosh

J. A.,

Phys.

Rev. B 27

(1983)

3100.

[34]

Lundgren

L., Svedlindh P. and Beckman

O.,

J.

Magn. Magn.

Mater. 25

(1981)

33.

[35] Netz R. R. and Berker A. N., Phys. Rev. Lent. 67

(1991)

1808;

Banavar J.

R., Cieplak

M. and Maritan A.,

Phys.

Rev. Lent. 67

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1807.

(15)

Classification

Physics

Abstracts

02.00 05.00 64.00

The B.A.M. Storage Capacity

H.

Engliscu(1),

V.

Mastropietro(~)

and B.

Tirozzi(3)

(~) Universitàt

Leipzig,

Inst. für

Informatik,

D-04109

Leipzig, Germany

(~) Dipartimento di Fisica, Università di

Pisa,

56100 Pisa, Italia

(~)

Dipartimento

di

Matematica,

Universita' di Roma "La

Sapien2a",

00185 Italia

(Received

22

February

1994, revised 23

September 1994, accepted

4 October

1994)

Abstract. Trie Bidirectional Associative

Memory (B.A.M.)

is

a neural network which can

store and associate

pairs

of data in trie form of two patterns using an ilrput network of M

neurons and

an outputlretwork with Nlreurolrs.

Despite

its ilrterest there

are no theoretical

investigations

about this model. We obtailr trie

equatiolrs

of state in a

rigorous

way usilrg olrly trie

assumption

that trie Edwards-Alrderson parameters associated to trie two networks

are

self-averaging:

this

important

property

corresponds

to trie

replica

symmetry

hypothesis

in trie

replica

calculations. A comparison between trie methods used in trie hterature is made and trie connection of our derivation with Peretto's method is shown. Trie storage

capacity

of the

B-A-M- is

computed

whelr N

= M alrd a boulrd

on it is denved when N

# M,

in contrast with trie

strongly

diluted case in which trie critical capacity is unbounded for

N/M

- 0 or - ce.

l. Introduction

Recently

some models bave been

proposed

in order to recover remarkable

properties

of tue uuman

brain,

in

particular

tue

capacity

of

remembering sometuing starting

from an

incomplete

or

approximate

information. The

Hopfield

model is for instance one of such models. In this model the state of the brain

corresponds

to a set of variables

a,(t)

= +1 which describe the

state of tue1-tu neuron, E

1, N,

at the time t. Some

biological considerations,

for which we

refer to

(10), suggest

tuat tue

a~(t) obey

tue

following dynamics:

ai(t +1)

=

sign(£ J, jaj(t))

J

wuere

f,j

=

(1IN) £(_~ gfg(

and tue gH are p

patterns,

/J E

1,

p and

(gH)~

e

gf

e +1. Each of these patterns is a piece of information to store into tue

system.

Since we want to make

a mortel

storing

any kind of information we assume that the

gf

are

independent, identically distributed,

random variables with

probability

distribution

P(g$

=

1)

=

P(gf

=

-1)

=

1/2.

We say that the

system

recognizes some

approximate

information

if,

choosen

ai(0)

=

e,g)

wuere e, is a random

variable

such tuat

Pie,

= 1) = 1- q, tuer

a,(t)

-t-ce

g). By numencal

Q

Les Editions de

Physique

1995

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