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Reentrancy and Dynamic Specific Heat of Ising Spin Glasses

Mai Li, Tran Hung, Marek Cieplak

To cite this version:

Mai Li, Tran Hung, Marek Cieplak. Reentrancy and Dynamic Specific Heat of Ising Spin Glasses.

Journal de Physique I, EDP Sciences, 1996, 6 (2), pp.257-263. �10.1051/jp1:1996101�. �jpa-00247182�

(2)

Reentrancy and Dynamic Specific Heat of Ising Spin Glasses

Mai Suan Li (~>~>*)

,

Tran

Quang Hung

(~>**) and Marek

Cieplak (~)

(~) Institute of

Physics,

Pohsh

Academy

of

Sciences,

02-668 Warsaw, Polan

(~)

Faculty

of

Engineering

and

Design Kyoto

Institute of

Technology, Sakyo-ku, Kyoto

606,

Japan

(Received

27 June 1995,

accepted

19

October1995)

PACS.7.5.10.Nr

Spin-glass

and otl~er random mortels PACS.75.10.Hk Classical

spin

mortels

Abstract. The

dynamic susceptibility

and

dynamic

specific heat of

Ising spin glasses

with

non-symmetric

distributions of the

exchange couplings

are studied

by

the Monte Carlo method and are

compared

to the results obtained

previously by

the local mean field method. The two methods

yield qualitatively

different results but they still suggest lack of any reentrancy

phenomena.

One of the

interesting problems

of the

spin glass (SG) physics

is a

question

of tl~e

reentrancy:

is tl~ere a transition from tl~e

ferromagnetic phase

to tl~e SG

phase

on

lowering

tl~e

temperature,

T. Tl~e

reentrancy pl~enomenon

bas been observed

experimentally

in many materials

iii

but

a tl~eoretical

justification

of tl~e

pl~enomenon

is

missing.

Tl~e exact Parisi solution of tl~e infinite range SG model [2j mies the reentrancy out.

Similarly,

ail theoretical studies of tl~e short range

Ising

or

anisotropic Heisenberg

SG'S

give

no evidence for tl~e

pl~enomenon

[3].

We bave

speculated

[4j tl~at tl~e

origins

of

reentrancy migl~t

be of a

dynamical

nature, i e.

resulting

from finiteness of observation times. We bave

attempted

to

study

tl~is

by

using

the Glauber

dynamics

[5j for

Ising

SG'S witl~in tl~e local mean field

approximation [6j.

Tl~is

approacl~

bas

yielded

a double

peak

structure, as a function of

T,

in tl~e real part of tl~e

dynamic susceptibility.

The

positions

of tl~ese

peaks, l~owever,

are sucl~ tl~at tl~e

reentrancy

is not

explained and, furtl~ermore, tl~ey merged

into one

peak

in tl~e static limit.

In this paper, we ask whether the

dynamical origins

of the

reentrancy

would be revealed if

a more accurate treatment of tl~e

system

is

employed. Specifically,

we use tl~e Monte Carlo

metl~od to determine tl~e ac

susceptibility, x'(uJ)

(uJ is tl~e

frequency),

of short range

Ising

sys-

tems witl~

asymmetric couphngs

and

again

find no reentrancy. Tl~ere are,

l~owever, qualitative changes compared

to tl~e local mean field metl~od tl~ere is no double

peak

structure in

x'(uJ)

that bas been found in the

approximate

treatment.

Another issue of this paper is wl~at is the temperature

dependence

of the

dynamic specific

heat

c(uJ).

The motivation for this is as follows. Within the local mean field

approximation

the

maxima in the real and

imaginary parts

move towards

l~igher temperatures

on

decreasing

the

frequency

[4j wl~ereas an exact treatment for six-spin clusters

I?i yields opposite

results. Our

(*)Author

for

correspondence (e-mail: msli@hier.kit.ac.jp) (**)

On leave from Hanoi Technical

University

©

Les

Éditions

de

Physique

1996

(3)

258 JOURNAL DE

PHYSIQUE

I N°2

l/Ionte Carlo results for

c(uJ) qualitatively

agree with those obtained for the

six-spin clusters,

i-e- similar to that found for the

susceptibility.

The

dynamic specific

heat has been measured in

glasses [8,9j

but net yet in SG'S. Its

expenmental

features remain to be determined.

We consider trie Hamiltonian

7i =

~j J~jS~Sj

H

~jS~, il)

<ii> i

wl~ere

S,

= +1 are tl~e

spins

located on the cubic lattice of N sites, <

1j

> denotes summation

aven nearest

neighbors,

the

couplings J~j

are Gaussian distributed witl~ the mean

Jo

and the

dispersion

J. The

magnetic

field considered here is time

dependent

and

H =

Ho

sinuJt.

(2)

TO

study dynamic quantities

we

employ

tl~e Monte Carlo simulation witl~ tl~e standard

l/Ietropolis updating.

We first focus on tl~e ac

susceptibility

witl~ tl~e eye on a

possible

reen-

trancy

at finite

frequencies.

We follow tl~e

approacl~

taken in reference

[loi.

In order to deterniine

x(uJ)

one sl~ould switcl~ on a small

amplitude

field

given by equation (2)

and then start

monitoring

tl~e

niagnetization

after some time

to

wl~icl~ is chosen so that ail transient

exponentials

con be considered extinct. ive

study

L x L x L

systems

witl~ L=10 and it is

suflicient to cl~oose to as 50000 l/Ionte Carlo steps per

spins (MCS/S).

Once we pass tl~e point t =

to,

,ve average

mit)

over

typically

2000 4000

periods

To

(To

"

2~/uJ)

and extract tl~e real

and

imaginary parts

of the

susceptibility tl~rough Àfjtj

=

Ho IX' sinjùJtj

~"

cosjùJtj j3j

The

periods

we have considered are

10,

20 and 100 MCS

/S multiplied by

2~. The results of our calculations for t.he standard SG'S

Jo

"

0)

are

presented

in

Figure

1. We take

Ho

to be

equal

to

0.01J: smaller values of

Ho

leave tl~e result almost

unchanged.

In ail our calculations we choose the cubic

system

with tl~e linear size L

= 10. For

large

uJ's tl~e maximum of

x'(uJ)

is ratl~er broad. On

decreasing

uJ the

position, Tw,

of the maximum moves towards lower temperatiires and it

sl~arpens

up. In tl~e de limit tl~e maximum

acquires

a

cusp-like

appearance and Tw

-

Tg,

wl~ere

Tg

is tl~e

equilibrium

transition

temperature.

The

absorptive susceptibility ~",

on the otl~er

hand,

bas a small but distinct

anomaly

around

Tw.

TO obtain the de

susceptibility

we follow Bl~att and

Young iii] using 10~ MCS/S

for

equilibration

and anotl~er

105 MCS/S

for averaging. Tl~e results are

averaged

over 10

samples.

It sl~ould be noted tl~at tl~e

corresponding

maximum of tl~e static

susceptibility t(uJ

=

0)

is located at T m 1.2J

(more

accurate àfonte Carlo calculations

involving

tl~e finite size

scahng

give an estimate of

Tg

m J

iii ).

Tl~e results

presented

in

Figure

1 are very similar to tl~ose obtained for tl~e standard SG

Aui-~Mn~

witl~

z = 0.0298

[12]

and for

Euo.2Sro.sS [13j

and also to wl~at

l~appens

in tl~e local mean field

approximation [4j.

Tl~e

question

we ask now is whether

reentrancy pl~enomenon

can take

place

on short time scales wl~en

only

some

partial equilibration

of the

system

con be acl~ieved. TO answer this

question

we

study

tl~e

equilibrium phase diagram

first. The results of our calculations ai-e

presented

in

Figure

2. Tl~e

paramagnet (PM

SG and

ferromagnet (FM)

SG

boundary

fines

are obtained from the maxima of tl~e static

susceptibility X(0) (see Fig. 3).

Tl~e SG FM transition

boundary

is obtained from tl~e

dependence

of

x(0)

on

Jo

for various temperatures

(see Fig. 4). Clearly,

tl~ere is no reentrancy in tl~e static regime. We now calculate tl~e ac

susceptibility

for varions values of tl~e mean,

Jo,

of tl~e

couplings.

Our Monte Carlo simulations

indicate tl~at

(see Fig. 2)

tl~e

ferromagnetically

ordered

phase

exists at low T's for

Jo

> 0.45J.

Figure

5 shows tl~e

T-dependence

of

x'

and

x"

for

Jo

# 0.5J for 3 diiferent

frequencies.

Tl~e

(4)

08

Standard SG

(Jo=0)

X~ WTO

0 6 Ù

ÎÎI

*. *.* o 05

w~.o o'

~ 04

oz

X

0

0 1 2 3 4

kBT/J

Fig.

1. TÎ~e static and

dynamic susceptibility

of the standard SG

(Jo

=

0).

The values of

frequency

are indicated. The system size L = 10 and the results are

averaged

over 10

samples.

The open

squares, black

triangles,

squares and circles

correspond

to uJT0 " 0, 0.01, 0.05 and ù-1

respectively.

On

decreasing

uJ the maxima of

x'(uJ)

moves towards the

equilibrium

value of the critical temperature

Tg m1.2J.

5.o

~To

.."

<'

- 0 10

_;." _-." ' 4

o05

w'

w---~ ..~ 0 01 ..

_;"' o"

__; __.

PM

__,«

_ "" o"'

3 .;"_...

1

,

..'

"' ,"""

E~ "

,:."

44 ;.""'

«.""''

i 0 FM

SG

00

00 02 0A 06 08 10

J~/J

Fig.

2. The T Jo

phase diagram.

The solid fines

correspond

to the

equilibrium

case

(the

curves

are obtained from maximum of the

susceptibility). PM,

FM and SG denote the paramagnet, spm

glass

and

ferromagnetic phases respectively.

Within indicated error bars the SC Fil transition

boundary

is a

straight

fine. The black

triangles,

squares and

hexagons correspond

to T,,,ax of

x'(uJ)

obtained for

uJTo " ù-1, 0.05 and 0.01

respectively (see Fig.

5 and 6

below).

similar

plots

for

Jo

" 0.7J is sl~own m

Figure

6. In ail cases we observe

only

one

peak

in

x'(uJ)

as a function of T

(tl~e positions

of tl~ese

peaks

for various uJ and

Jo

are

plotted

in

Fig. 2)

and tl~e

reentrancy pl~enomenon

does trot anse. It appears tl~at the double

peak

structure m

x'(uJ) predicted by

tl~e local mean field metl~od

applied

to tl~e Glauber

dynamics

is eitl~er a

fallacy

of tl~e

approximate

method or it is real but at the same time too weak to be detected

by

(5)

260 JOURNAL DE

PHYSIQUE

I N°2

Jo

6 0

Ù

°°

. . -.

: w +-o

.'h

ù '. +

i ~

, .,

4.0

.,

~

/

"h

; .. '

ù " '

ù

~

~

/

y '

o ~

/ é

"

~

0

0 1

BT

Fig.

3. TÎ~e temperature

dependence

of the static

susceptibility x(0)

for various values of Jo. The open squares, black

triangles,

squares and circles correspond to Jo

= 0, 0.3J, OAJ and 0.7J respectively.

Depending

on Jo the maxima of these curves

correspond

to the PM SG and PM FM

phase

transition shown in tl~e

phase diagram

in

Figure

2.

o 8

,o,

» h ~B~~~

1 : w --o---.o o 9

/ 1 mû 7

~ ~

i

ÙÎ~

: 4

: 1

-~ à

," '*.. '.

~ 0.4

:"'

".

',

," h é

' + ..

" é

,,4, h ':

,«"' '«_ .,

~," *, : ;4

0 2 ~~ ', j

"-« h à

«

O.ù

00 02 04 06 08 10

Jo/J

Fig.

4. The

dependence

of

x(0)

on Jo for vanous values of T. The open squares, black

triangles,

squares and circles

correspond

to

kBT/J

= 0.3, 0.5. 0.7 and 0.9. The maxima

correspond

to the SG-FM

transition shown

in

Figure

2.

the Monte Carlo

averaging

process. In any event, the

origms

of any reentrancy in SG systems remain obscure.

Tl~e

specific-l~eat spectroscopy

bas been demonstrated to be a useful tool for

studying

relax- ation processes m

supercooled liquids [8,9j.

In a

typical

experiment [8j one immerses a l~eater mto tl~e

liquid

and

applies

a smusoidal current at

frequency

uJ. Tl~e power

dissipated

contains

a de comportent aiid an ac comportent at

frequency

uJ, rangmg between 0.2 Hz and 6 kHz. Tl~e

ac comportent results m

pl~ase-sl~ifted

temperature oscillations and dermes tl~e

complex specific

l~eat.

(6)

3 0 ~o-0.5~

~~~

o o~

»..m o 05

wo~ o 1

2 0 '~

i

o zo

°~ i o

0 0

0 1 2 3 4 5

kBTlà

Fig.

5. The

dynamic susceptibility

for different

frequencies (black triangles,

squares and circles denote uJTo

= 0.01,0.05 and o-1

respectively)

and Jo=0.5. The results are

averaged

aven 10

samples.

5 Jo#0 7J

;~;,

~To

: ; « . .. o o~

' : o os

« ».. ~ oi

k

; ',

'~ .~ '.

j'

0

~P 1~

3 / [

/

;[

2

j

~~ i

j

i <

0

0 2 3 4 5

kBT/J

Fig.

6. The same as in

Figure

5 but for Jo

" 0.7.

Birge

and

Nagel

[8]

pointed

eut tl~at in unfrustrated materials and standard

liquids

tl~e real part of tl~e

specific

l~eat

c'(uJ)

ares net

practically depend

on uJ and tl~e

imaginary

part is almost zero. In the case of

SG'S, however,

and

presumably

of other systems with many modes of

configurational relaxation,

the

dynamic specific

heat may be used as another

probe

of SG

dynamics I?i

Indeed the

dynamic specific

heat

couples

to the time evolution of

even-spin

correlations whereas the

dynamic susceptibility

is given in terms of

odd-spin

correlations.

By

working

with a

six-spin

cluster

Cieplak

and Szamel demonstrated I?i that the temperature and

frequency dependence

of the

dynamic specific

heat is similar to that of the

dynamic

(7)

262 JOURNAL DE

PHYSIQUE

I N°2

o

C'

/d

/ »'. ..,

~ ;"' m

d / ,' / ~V'

ç~ f_# ,

0 1;,,' ~T~

-- 00

oo'

w ~ o 0025

".+ 005

C~~

0

0 2 3

kBT/J

Fig.

7. The real and

imaginary

parts of the

dynamic specific

heat for the 3D system

(L

=

10)

as a function of T. The solid fine

corresponds

to the

equilibrium

specific heat which is obtained

by

using 10~

MCS/S

for

equilibration

and another 10~

MCS/S

for averaging. The black

triangles,

circles

and squares

correspond

to uJTo = 0.01, 0.025 and 0.05,

respectively.

The results are averaged over 10

samples.

susceptibility except

that the former is not aifected

by

processes

coupled

to the very

longest

relaxation time in the

system.

When one fixes

uJ and

plots

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

gets

a curve witl~ a maximum. On

decreasing

uJ tl~e

position

of the maximum moves towards

lower

temperatures

and it

sl~arpens

up. Tl~e studies of clusters are

illuminating

but the clusters do trot

display

any limite critical

temperature.

In [4] we studied the

dynamic specific

l~eat of tl~e

system undergoing

tl~e transition to tl~e SG

phase

at T

#

0 using Glauber

dynamics

and tl~e local mean field

approximation. Contrary

to tl~e results for clusters tl~e maxima of

c(uJ)

moves towards

l~igher

temperature on

decreasing

uJ. In this paper we reconsider tl~is

problem

by

Monte Carlo simulations.

In tl~e

experiments

on

liquids,

an

oscillatory

l~eat causes

temperature

oscillations. For a theoretical

study

of SG'S it is more convenient to define tl~e same

dynamic specific

l~eat

by inverting

tl~e situation. We tl~us propose tl~at tl~e

temperature

of tl~e

spin system

varies

periodically

with time:

T(t)

= T +

ôTsin(uJt)

,

(4)

where ôT is assumed to be small relative to T.

The

perturbation

in T results in a

oscillatory

evolution of the internai energy. The

oscillatory part

of tl~e average

Hamiltonian,

< H >, will be denoted

by

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

à < H >

IN

= ôT

jc'jùJ) sinjùJtj c"jùJ) CosjùJtj j5)

Similar to calculations of

susceptibility

we

skip

first

lo~ MCS/S

and average à < H > aven 2000 4000

periods.

Tl~e

periods

we bave considered are

20,

40 and 100

MCS/S multiplied by

2~. Our calculations bave been carried out for tl~e 3D

system

of size L

= 10.

Averaging

of

c'(uJ)

and

c"(uJ)

is

performed

over 10

samples.

The

amplitude

ôT is taken to be

equal

to

0.01J/kB (the

results remain almost the same for smaller

ôT).

Figure

7 shows the temperature

dependence

of tl~e

dynamic specific

heat for selected values of uJ. The

longer

tl~e

period

of

oscillations,

tl~e closer c' resembles tl~e

equilibrium specific

(8)

heat. Tl~e maxima of c' and c" move toward lower temperatures as uJ is decreased. It should be noted that the same

tendency

has been observed in the

6-spin

cluster and iii experiments

on

glasses.

It

is, however, opposite

to what observed within the

dynamic

local mean field

approximation

[4]. The failure of the latter

approach

in

predicting

correct

positions

of minima should be related to the fact that the energy

ought

to be determined from

two-spiii

correlations but not from the local

magnetizations.

It would be

interesting

to compare the results on

dynamic specific

heat with

experiments

and to

clarify

the

origins

of

reentrancy.

On the theoretical

side,

we observe that the local mean field

approach applied

to the

dynamics

allers

apparent advantages

over the l/Ionte Carlo method calculational

speed

and

large signal

to noise ratio but is showii here to be

quahtati,~ely

unreliable for frustrated

systems.

Acknowledgments

~ie

acknowledge partial support

from the Polish ageiicy I(BN

(grant

number 2P302 127

07).

References

iii

Binder K. and

Young A.P.,

Reu. Med.

Phys.

58

(1986) 801;

Malleta H. aiid Zinn W., in Haiidbook of the

Physics

and

Chemistry

of Rare Earths

(Elsevier, Berlin, 1989)

v.12.

[2] Parisi

G., Phys.

Reu. Lett. 43

(1979) 1754; Phys. Rep.

67

(1980)

97.

[3j Southem B-W- and

Young A.P-,

J.

Phys.

G10

(1977) 2179;

Zaluska-I(otur

àf.A., Cieplak

M. and

Cieplak P.,

J.

Phys.

C 20

(1987) 37441; Reger

J-D- and

Young A.P.,

J.

Phys.

France1

(1989) 915; Gingras

M.J.P. and Sorensen

E-S-, Phys.

Reu. B 46

(1992)

3441.

[4j

Hung T.Q.,

Li M.S- and

Cieplak M.,

J.

Phys.

f France 4

(1995)

71.

[5j Glauber

R.J.,

J. Math.

Phys.

4

(1963)

294.

[6j Soukoulis

C.M.,

Levin K. and Grest

G-S-, Phys.

Reu. Lett. 48

(1982) 1756; Phys.

Reu. B 28

(1983)

1495.

[7j

Cieplak

M. and Szamel

G., Phys.

Reu. B 37

(1988)

1790.

[8j

Birge

N-O- and

Nagel S-R-, Phys.

Reu. Lett. 54

(1985) 2674; Birge N-O-, Phys.

Feu. B 34

(1986)

1631.

[9] Christensen

T.,

J.

Phys. Goiioq.

France 46

(1985)

C8-635.

[loi Cieplak M.Z-,

Gawron T.R. and

Cieplak M., Phys.

Reu. B 39

(1989)

6757.

[1Ii

Bhatt R-N- and

Young A.P-, Phys.

Reu. B 37

(1988)

5606.

[12]

Mulder

C.A.lf.,

van

Duyneveldt

A-J- and

Mydosh J-A-, Phys.

Reu. B 25

(1992)

515.

[13] Huser

D.L.E., ivenger A.J.,

van

Duyneveldt

A.J. aiid

Mydosh J-A-, Phys.

Reu. B 27

(1983)

3100.

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On tire une boule et on la remet dans l’urne, puis on effectue un second tirage d’une boule2. Quelle est la probabilité d’obtenir d’abord une noire, puis