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Numerical studies of the spin-flip dynamics in the SK-model
G. Kohring, M. Schreckenberg
To cite this version:
G. Kohring, M. Schreckenberg. Numerical studies of the spin-flip dynamics in the SK-model. Journal
de Physique I, EDP Sciences, 1991, 1 (8), pp.1087-1091. �10.1051/jp1:1991192�. �jpa-00246394�
f Phys. lfrance 1
(1991)
1087-1t9l Aotrr1991, PAGE 1087Classification Physics Abstracts
05.50 M.60C 75.10N
Shortcommmication
Numerical studies of the spin-flip dynamics in the SK-model
G.A~
Kohring
and M.Schreckenberg
Institut for Theoretische
Physik,Universitat
zu KbIn,Z0lpicherstr.
77, D-5tK© KfiIn 41, Gcrnlany(Receveid15Mqy
1991,accepted 2iMqy1991)
Abstract. The
spin-flip dynamics
of the sK-model is studiednumerically
with systems of up to 10~spins.
Forsequential dynamics
at T= o we find a remanent
magnetization
of o. 085 + o.oos which is about half the value found earlier for much smaller systems. Furthermore we have calculated the percentage of spins which flip n timesduring
the descent into a metastable state.Remarkably,
the number ofspins
which neverflip (n
=o)
isasymptotically equal
to the number ofspins
whichflip only
once(n
= 1). Therefore the dominant contribution to the remanentmagnetization
comes bomthe
spins
which flip twice(n
=
2).
We have found the convergence time, with the system sizes used here, todiverge
faster than asimple
power law.The relaxational behavior of
spin glasses
ismainly
influencedby
alarge (exponential)
number of metastable states which detain thesystem
fromgetting
intoequilibrium (for
reviews see[1, 2]).
Therefore the
long-time
limit ofmacroscopic quantities
like themagnetization depend
on the way thesystem
wasprepared initially. If,
forexample,
amagnetic
field isapplied
and then switchedoflj
a nonzero
overlap
between the final and the initial state can beobserved,
known as the remanentmagnetization.
It is also aninteresting quantity
because it serkes as an orderparameter
in theasymmetric
SK-model [3,4].
The difficulties for
analytical approaches
to theproblem lay
in the facttha~
inprinciple,
the whole set ofdynamical equations
has to be solved u1 order to take the influence of the initial conditionson the final state into account. In the case of the SK-model no exact results are known
fnd
one is forced to attack the
problem by computer
simulations of systems with thelargest possible
sizes. Earlier
investigations
with system sizes up to 1024spins
led to a remanentmagnetization
of 0.14 + 0.01 at zerotemperature
[5]. Here wereport
the results of simulations ofsystems
with sizes up to 105spins
which show that the value of the infinitesystem
is about half this value(qualitatively
this was
anticipated by
PSpitzner [fl).
Another
interesting question
about the SK-model comes ~omanalytical
studies of the sequen- tialspin glass dynamics
onCayley
trees:during
the descent into a metastable state nospin flips
more than twice [7, 8]. Since our simulations were also
perforated sequentially
weanalyzed
thepercentage
ofspins
which willflip
n times before thesystem
istrapped
into a metastable state.Those
spins
whichflip
an even(odd)
number of timesgive
apositive (negative)
contn~ution to1088 JOURNALDEPHYSIQUEI N°8
the remanent
magnetization. Remarkably
we find that thepercentage
ofspin
which neverflip,
n = 0, and which
flip
once, n = I, bequal
in the infinite system.In the numerical
simulations,
we useIsing couplings
between thespins,
becauseonly
the firsttwo moments of the
coupling
distribution should contn~ute to theproperties
of the SK-modelin the
thernlodynamic
limit. Thb allows us to make use of efficientmulti-spin coding techniques
[9,
10].
Thesetechniques
work very well up to system sizes which exhaust the main memory of thecomputer. (On
the HLRZ'SCray-YMP/832
this occurs forsystem
sizes at about 3.5 x 10~spins,
and for the
University
ofCologne's
NEC-SX3/11 at about 2.4 x10~,) Bu~
in order to reach thelarge system
sizes necessary for thepresent work~
we have had to resort to a schemewhereby
thecouplings
are recalculated at each iterationstep.
Under the constraint ofsymmetric couplings,
this is
posswle by generating
acompletely
randommatrix, J(;, using
albusworth-Kirkpatrick-Stoll shift-register
random numbergenerator
withlags
of 17 and 11, and thendefining
thesymmetric
couplin# by: J;;
«J];
+Jj;. Again
we make use of the fact thatonly
the first two moments of thecoupling
distribution areimportant. ~The complete
Fbrtran program b available from theauthors.)
In
figure
I we show results for the remanentmagnetization,
mm as a function of the inversesystem
size. The datapresented
here wasaveraged
overapproximately
10~starting
states at small systemsizes,
andonly
10 states for the velylargest
system.Except
for the last datapoint,
the error barswould be smaller than the
symbols
themselves.o
o o o 8
£
a
aa a°
~ Da
an lo~ lo~no
~-i
N°8 SPIN-FLIP DYNAMICS IN THE sK-MODEL 1109
The best fit in terms of the smallest sum of the
squared
deviations isgiven by
alogarithmic
correction to a
simple
power:miN)
= moo +$
+
~~$l~~ 11)
where
hi
andA2
are of orderunity
and a m 0.27.Assuming equation (I)
to bevalid,
we foundthe remanent
magnetization
to be 0.085 + 0.005. Thb value bquite
similar to the value of 0.06which was found in the
Hopfield-model
for « > «c [10].We have also checked the value of the remanent
magnetization
forparallel dynamics
and weagain
find that a
simple
combination of powers does not fit the data very well.Again using
the above fit fornlula we find mm= 0.18 + 0.01. Thb result b not inconsbtent Wth the results in one dimension which show that the remanent
magnethation
forparallel dynamics
is twice that forsequential dynamics [11].
In
trying
to understand the result of the remanentmagnetization
we also have measured, as is shown infigure
2, the percentage ofspins
whichflip exactly
n times before the system becomes stable. The mostinteresting aspect
of the data is the numericalequivalence,
forlarge
systems, be-tween the
spins
which neverflip (n
=0)
and thespins
whichflip
once(n
=I).
Therefore the main contribution to the remanentmagnethation
comes from thespins
whichflip
twice n = 2, TMso
~~ Da °
4 ,o
VY11
~~.° ° . ° ° °
0l ,3 ilw
~Q
~m
~
. AA AA a4 4a an aa a
* 4
on oo oo oo oo oo
lo~ lo~ lo~ lo~
~-l
Fig.
~ -Average percentage ofspins
which flip n timesduring
the descent into a metastable state.(D)
n = 0,(.)
n = 1,(6)
n = 2 and(o)
n = 3.Again
the errors not shown are of the same size as thesymbols.
1W& JOURNALDEPHYSIQUEI N°8
percentage
should thengive
an upper bound to mmand,
since thepercentage
ofspins
whichflip
n times b observed to decrease
monotonicly
Wthincreasulg
n, we can obtain a lower bound on mmusing
thepercentage
ofspins
whichflip
three times(n
=3). (A
note of caution here: we have observed that thepercentage
of n = Iflip spins
reaches a maximum at about N~ 5 x 10~,
we can not rule out such behavior for
larger
nflips
when N >10~.)
In the last
figure
we show aplot
of the convergence times as a function of the system sizes. From the data we conclude that the convergence time grows faster than asimple
power law over the range ofsystem
sizes simulated here. Thb b a much fastergrowth
thanlogarithmic growth
found in theHopfield-model
with « < ac [10].Finally,
thepresent
simulationssuggest,
that system sizes up to 105spins
are notsufficiently large
to
unambiguously
determine theasymptotic properties
of the SK-model.a a a a a a
6 a
~ a
V ~~
a
a
a a
io~ io~ lo'
N
Fig- 3. Average convergence time as a function of the system size.
Acknowledgements.
The authors are indebted to M. Neschen for many
stimulating
discussions. TMs work was per- formed within the research program of theSonderforschungsbereich
Ml KoIn-Aachen-Jolichsupported by
the DeutscheForschungsgemeinschafL
GAK thanks theBMFT(0326657D)
for fi- nancialsupport
and we thank theUniversity
ofCologne
for time on the NEC-SX3/11 and the HLRZ Jolich for time on theCray-YMP/832.
N°8 SPIN.FLIP DYNAMICS IN THE SK-MODEL 1t91
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