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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�
Reentrancy and Dynamic Specific Heat of Ising Spin Glasses
Mai Suan Li (~>~>*)
,
Tran
Quang Hung
(~>**) and MarekCieplak (~)
(~) Institute of
Physics,
PohshAcademy
ofSciences,
02-668 Warsaw, Polan(~)
Faculty
ofEngineering
andDesign Kyoto
Institute ofTechnology, Sakyo-ku, Kyoto
606,Japan
(Received
27 June 1995,accepted
19October1995)
PACS.7.5.10.Nr
Spin-glass
and otl~er random mortels PACS.75.10.Hk Classicalspin
mortelsAbstract. The
dynamic susceptibility
anddynamic
specific heat ofIsing spin glasses
withnon-symmetric
distributions of theexchange couplings
are studiedby
the Monte Carlo method and arecompared
to the results obtainedpreviously by
the local mean field method. The two methodsyield qualitatively
different results but they still suggest lack of any reentrancyphenomena.
One of the
interesting problems
of thespin glass (SG) physics
is aquestion
of tl~ereentrancy:
is tl~ere a transition from tl~e
ferromagnetic phase
to tl~e SGphase
onlowering
tl~etemperature,
T. Tl~ereentrancy pl~enomenon
bas been observedexperimentally
in many materialsiii
buta tl~eoretical
justification
of tl~epl~enomenon
ismissing.
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 rangeIsing
oranisotropic Heisenberg
SG'Sgive
no evidence for tl~epl~enomenon
[3].We bave
speculated
[4j tl~at tl~eorigins
ofreentrancy migl~t
be of adynamical
nature, i e.resulting
from finiteness of observation times. We baveattempted
tostudy
tl~isby
usingthe Glauber
dynamics
[5j forIsing
SG'S witl~in tl~e local mean fieldapproximation [6j.
Tl~isapproacl~
basyielded
a doublepeak
structure, as a function ofT,
in tl~e real part of tl~edynamic susceptibility.
Thepositions
of tl~esepeaks, l~owever,
are sucl~ tl~at tl~ereentrancy
is notexplained and, furtl~ermore, tl~ey merged
into onepeak
in tl~e static limit.In this paper, we ask whether the
dynamical origins
of thereentrancy
would be revealed ifa more accurate treatment of tl~e
system
isemployed. Specifically,
we use tl~e Monte Carlometl~od to determine tl~e ac
susceptibility, x'(uJ)
(uJ is tl~efrequency),
of short rangeIsing
sys-tems witl~
asymmetric couphngs
andagain
find no reentrancy. Tl~ere are,l~owever, qualitative changes compared
to tl~e local mean field metl~od tl~ere is no doublepeak
structure inx'(uJ)
that bas been found in the
approximate
treatment.Another issue of this paper is wl~at is the temperature
dependence
of thedynamic specific
heatc(uJ).
The motivation for this is as follows. Within the local mean fieldapproximation
themaxima in the real and
imaginary parts
move towardsl~igher temperatures
ondecreasing
thefrequency
[4j wl~ereas an exact treatment for six-spin clustersI?i yields opposite
results. Our(*)Author
forcorrespondence (e-mail: msli@hier.kit.ac.jp) (**)
On leave from Hanoi TechnicalUniversity
©
LesÉditions
dePhysique
1996258 JOURNAL DE
PHYSIQUE
I N°2l/Ionte Carlo results for
c(uJ) qualitatively
agree with those obtained for thesix-spin clusters,
i-e- similar to that found for the
susceptibility.
Thedynamic specific
heat has been measured inglasses [8,9j
but net yet in SG'S. Itsexpenmental
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 summationaven nearest
neighbors,
thecouplings J~j
are Gaussian distributed witl~ the meanJo
and thedispersion
J. Themagnetic
field considered here is timedependent
andH =
Ho
sinuJt.(2)
TO
study dynamic quantities
weemploy
tl~e Monte Carlo simulation witl~ tl~e standardl/Ietropolis updating.
We first focus on tl~e acsusceptibility
witl~ tl~e eye on apossible
reen-trancy
at finitefrequencies.
We follow tl~eapproacl~
taken in reference[loi.
In order to deterniinex(uJ)
one sl~ould switcl~ on a smallamplitude
fieldgiven by equation (2)
and then startmonitoring
tl~eniagnetization
after some timeto
wl~icl~ is chosen so that ail transientexponentials
con be considered extinct. ivestudy
L x L x Lsystems
witl~ L=10 and it issuflicient to cl~oose to as 50000 l/Ionte Carlo steps per
spins (MCS/S).
Once we pass tl~e point t =to,
,ve averagemit)
overtypically
2000 4000periods
To(To
"2~/uJ)
and extract tl~e realand
imaginary parts
of thesusceptibility tl~rough Àfjtj
=
Ho IX' sinjùJtj
~"cosjùJtj j3j
The
periods
we have considered are10,
20 and 100 MCS/S multiplied by
2~. The results of our calculations for t.he standard SG'SJo
"
0)
arepresented
inFigure
1. We takeHo
to beequal
to0.01J: smaller values of
Ho
leave tl~e result almostunchanged.
In ail our calculations we choose the cubicsystem
with tl~e linear size L= 10. For
large
uJ's tl~e maximum ofx'(uJ)
is ratl~er broad. Ondecreasing
uJ theposition, Tw,
of the maximum moves towards lower temperatiires and itsl~arpens
up. In tl~e de limit tl~e maximumacquires
acusp-like
appearance and Tw-
Tg,
wl~ere
Tg
is tl~eequilibrium
transitiontemperature.
Theabsorptive susceptibility ~",
on the otl~erhand,
bas a small but distinctanomaly
aroundTw.
TO obtain the desusceptibility
we follow Bl~att andYoung iii] using 10~ MCS/S
forequilibration
and anotl~er105 MCS/S
for averaging. Tl~e results areaveraged
over 10samples.
It sl~ould be noted tl~at tl~ecorresponding
maximum of tl~e static
susceptibility t(uJ
=
0)
is located at T m 1.2J(more
accurate àfonte Carlo calculationsinvolving
tl~e finite sizescahng
give an estimate ofTg
m Jiii ).
Tl~e resultspresented
inFigure
1 are very similar to tl~ose obtained for tl~e standard SGAui-~Mn~
witl~z = 0.0298
[12]
and forEuo.2Sro.sS [13j
and also to wl~atl~appens
in tl~e local mean fieldapproximation [4j.
Tl~e
question
we ask now is whetherreentrancy pl~enomenon
can takeplace
on short time scales wl~enonly
somepartial equilibration
of thesystem
con be acl~ieved. TO answer thisquestion
westudy
tl~eequilibrium phase diagram
first. The results of our calculations ai-epresented
inFigure
2. Tl~eparamagnet (PM
SG andferromagnet (FM)
SGboundary
finesare obtained from the maxima of tl~e static
susceptibility X(0) (see Fig. 3).
Tl~e SG FM transitionboundary
is obtained from tl~edependence
ofx(0)
onJo
for various temperatures(see Fig. 4). Clearly,
tl~ere is no reentrancy in tl~e static regime. We now calculate tl~e acsusceptibility
for varions values of tl~e mean,Jo,
of tl~ecouplings.
Our Monte Carlo simulationsindicate tl~at
(see Fig. 2)
tl~eferromagnetically
orderedphase
exists at low T's forJo
> 0.45J.Figure
5 shows tl~eT-dependence
ofx'
andx"
forJo
# 0.5J for 3 diiferent
frequencies.
Tl~e08
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 anddynamic susceptibility
of the standard SG(Jo
=
0).
The values offrequency
are indicated. The system size L = 10 and the results are
averaged
over 10samples.
The opensquares, black
triangles,
squares and circlescorrespond
to uJT0 " 0, 0.01, 0.05 and ù-1respectively.
On
decreasing
uJ the maxima ofx'(uJ)
moves towards the
equilibrium
value of the critical temperatureTg 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 Jophase diagram.
The solid finescorrespond
to theequilibrium
case(the
curvesare obtained from maximum of the
susceptibility). PM,
FM and SG denote the paramagnet, spmglass
and
ferromagnetic phases respectively.
Within indicated error bars the SC Fil transitionboundary
is a
straight
fine. The blacktriangles,
squares andhexagons correspond
to T,,,ax ofx'(uJ)
obtained foruJTo " ù-1, 0.05 and 0.01
respectively (see Fig.
5 and 6below).
similar
plots
forJo
" 0.7J is sl~own m
Figure
6. In ail cases we observeonly
onepeak
inx'(uJ)
as a function of T
(tl~e positions
of tl~esepeaks
for various uJ andJo
areplotted
inFig. 2)
and tl~ereentrancy pl~enomenon
does trot anse. It appears tl~at the doublepeak
structure mx'(uJ) predicted by
tl~e local mean field metl~odapplied
to tl~e Glauberdynamics
is eitl~er afallacy
of tl~eapproximate
method or it is real but at the same time too weak to be detectedby
260 JOURNAL DE
PHYSIQUE
I N°2Jo
6 0
Ù
°°. . -.
: w +-o
.'h
ù '. +
i ~
, .,
4.0
.,
~
/
"h
; .. '
ù " '
ù
~
~
/
y '
o ~
/ é
"
~
0
0 1
BT là
Fig.
3. TÎ~e temperaturedependence
of the staticsusceptibility x(0)
for various values of Jo. The open squares, blacktriangles,
squares and circles correspond to Jo= 0, 0.3J, OAJ and 0.7J respectively.
Depending
on Jo the maxima of these curvescorrespond
to the PM SG and PM FMphase
transition shown in tl~ephase diagram
inFigure
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. Thedependence
ofx(0)
on Jo for vanous values of T. The open squares, blacktriangles,
squares and circles
correspond
tokBT/J
= 0.3, 0.5. 0.7 and 0.9. The maxima
correspond
to the SG-FMtransition shown
in
Figure
2.the Monte Carlo
averaging
process. In any event, theorigms
of any reentrancy in SG systems remain obscure.Tl~e
specific-l~eat spectroscopy
bas been demonstrated to be a useful tool forstudying
relax- ation processes msupercooled liquids [8,9j.
In atypical
experiment [8j one immerses a l~eater mto tl~eliquid
andapplies
a smusoidal current atfrequency
uJ. Tl~e powerdissipated
containsa de comportent aiid an ac comportent at
frequency
uJ, rangmg between 0.2 Hz and 6 kHz. Tl~eac comportent results m
pl~ase-sl~ifted
temperature oscillations and dermes tl~ecomplex specific
l~eat.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. Thedynamic susceptibility
for differentfrequencies (black triangles,
squares and circles denote uJTo= 0.01,0.05 and o-1
respectively)
and Jo=0.5. The results areaveraged
aven 10samples.
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 inFigure
5 but for Jo" 0.7.
Birge
andNagel
[8]pointed
eut tl~at in unfrustrated materials and standardliquids
tl~e real part of tl~especific
l~eatc'(uJ)
ares netpractically depend
on uJ and tl~eimaginary
part is almost zero. In the case ofSG'S, however,
andpresumably
of other systems with many modes ofconfigurational relaxation,
thedynamic specific
heat may be used as anotherprobe
of SGdynamics I?i
Indeed thedynamic specific
heatcouples
to the time evolution ofeven-spin
correlations whereas thedynamic susceptibility
is given in terms ofodd-spin
correlations.By
working
with asix-spin
clusterCieplak
and Szamel demonstrated I?i that the temperature andfrequency dependence
of thedynamic specific
heat is similar to that of thedynamic
262 JOURNAL DE
PHYSIQUE
I N°2o
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 andimaginary
parts of thedynamic specific
heat for the 3D system(L
=
10)
as a function of T. The solid fine
corresponds
to theequilibrium
specific heat which is obtainedby
using 10~MCS/S
forequilibration
and another 10~MCS/S
for averaging. The blacktriangles,
circlesand squares
correspond
to uJTo = 0.01, 0.025 and 0.05,respectively.
The results are averaged over 10samples.
susceptibility except
that the former is not aifectedby
processescoupled
to the verylongest
relaxation time in the
system.
When one fixesuJ and
plots
c' and c" as a function of T then onegets
a curve witl~ a maximum. Ondecreasing
uJ tl~eposition
of the maximum moves towardslower
temperatures
and itsl~arpens
up. Tl~e studies of clusters areilluminating
but the clusters do trotdisplay
any limite criticaltemperature.
In [4] we studied thedynamic specific
l~eat of tl~esystem undergoing
tl~e transition to tl~e SGphase
at T#
0 using Glauberdynamics
and tl~e local mean fieldapproximation. Contrary
to tl~e results for clusters tl~e maxima ofc(uJ)
moves towards
l~igher
temperature ondecreasing
uJ. In this paper we reconsider tl~isproblem
by
Monte Carlo simulations.In tl~e
experiments
onliquids,
anoscillatory
l~eat causestemperature
oscillations. For a theoreticalstudy
of SG'S it is more convenient to define tl~e samedynamic specific
l~eatby inverting
tl~e situation. We tl~us propose tl~at tl~etemperature
of tl~espin system
variesperiodically
with time:T(t)
= T +ôTsin(uJt)
,
(4)
where ôT is assumed to be small relative to T.
The
perturbation
in T results in aoscillatory
evolution of the internai energy. Theoscillatory part
of tl~e averageHamiltonian,
< H >, will be denotedby
à < H >. When transients aie out one can define c' and c" as followsà < H >
IN
= ôT
jc'jùJ) sinjùJtj c"jùJ) CosjùJtj j5)
Similar to calculations of
susceptibility
weskip
firstlo~ MCS/S
and average à < H > aven 2000 4000periods.
Tl~eperiods
we bave considered are20,
40 and 100MCS/S multiplied by
2~. Our calculations bave been carried out for tl~e 3Dsystem
of size L= 10.
Averaging
of
c'(uJ)
andc"(uJ)
isperformed
over 10samples.
Theamplitude
ôT is taken to beequal
to0.01J/kB (the
results remain almost the same for smallerôT).
Figure
7 shows the temperaturedependence
of tl~edynamic specific
heat for selected values of uJ. Thelonger
tl~eperiod
ofoscillations,
tl~e closer c' resembles tl~eequilibrium specific
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 the6-spin
cluster and iii experimentson
glasses.
Itis, however, opposite
to what observed within thedynamic
local mean fieldapproximation
[4]. The failure of the latterapproach
inpredicting
correctpositions
of minima should be related to the fact that the energyought
to be determined fromtwo-spiii
correlations but not from the localmagnetizations.
It would be
interesting
to compare the results ondynamic specific
heat withexperiments
and toclarify
theorigins
ofreentrancy.
On the theoreticalside,
we observe that the local mean fieldapproach applied
to thedynamics
allersapparent advantages
over the l/Ionte Carlo method calculationalspeed
andlarge signal
to noise ratio but is showii here to bequahtati,~ely
unreliable for frustratedsystems.
Acknowledgments
~ie
acknowledge partial support
from the Polish ageiicy I(BN(grant
number 2P302 12707).
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