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Critical properties of the d-dimensional Ising model from a variational method

B. Bonnier, M. Hontebeyrie

To cite this version:

B. Bonnier, M. Hontebeyrie. Critical properties of the d-dimensional Ising model from a variational

method. Journal de Physique I, EDP Sciences, 1991, 1 (3), pp.331-338. �10.1051/jp1:1991135�. �jpa-

00246326�

(2)

Classification Physics Abstracts

05.50 64.60C 75.10H

Critical properties of the d-dinlensional

Ising n1odeI front

a

variational nlethod

B. Bonnier and M.

Hontebeyrie

Laboratoire de

Physique Thborique (*),

Universitk de Bordeaux I, Rue du Solarium, F-33175

Gradignan

Cedex, France

(Received

9 October 1990,

accepted

5 December

1990)

Rksumk. on considdre un

dbveloppement perturbatif

de

l'bnergie

libre du moddle

d'Ising

en

champ magndtique

constant, en dimension arbitraire d,

qui dbpend

I tout ordre d'un

paramdtre

alors que le moddle n'en

dkpend

pas. Ce

paramdtre

est utilisk variationnellement pour accdldrer la convergence des sbries de haute

tempbrature

de diverses observables. La mkthode,

particulidrement

efficace pour des dimensions infbrieures I d

= 2, fournit de bonnes estimations des exposants

critiques

3 et v.

Abstract. We derive a

perturbative expansion

for the free energy of the d-dimensional

ising

model in a constant

magnetic

field which, at finite order, depends upon a parameter A. This series is

expected

to

improve

the standard

high-temperature expansion

as the model is

independant

of A,

which is used as a variational parameter. The

improvement

is

particularly significant

on the range d~ 2, as shown

by

the

computation

of the exponents 3 and v.

1. Introduction.

Perturbative

expansions

such as

high-temperature

series are

frequently

used for

exploring

the critical

properties

of

spin

systems,

especially

when the

dimensionality

or the

symetries

of the model render its numerical simulation difficult. Rather

long

series are,

however, generaly

needed to achieve this

goal.

On the other

hand,

various tricks

[1-3]

have been found to accelerate the convergence of

perturbative expansions

such as those encountered with the

eigenvalues

of

quantum

Hamiltonians. In this work we show

how,

in the

spirit

of these

methods,

one can derive

high-temperature expansions

where a variational

parameter

has been inserted in order to stabilize the results of the

analysis

at moderate order. The method is not restricted to the

Ising

model that we consider here in

arbitrary

dimension

d,

for definiteness and in order to confront exact or well established

predictions.

As our

principal result,

we find that the critical parameters can be

reasonably

estimated from the 8th or 9th order

high-temperature

series even for dimensionalities d smaller than

2,

which are very difficult to

predict

within the standard

analyses.

This is

interesting,

since this range,

already

(*)

Unitk Associke au CNRS, U-A. 764.

(3)

332 JOURNAL DE

PHYSIQUE

I M 3

explored

within the

e-expansion

method in reference

[4],

is relevant for the

knowledge

of the

Ising

model in

non-integer (fractal)

dimensions

[5],

or to compare it with models

[6] suspected

to be in the

Ising

cla55 a5 d

approaches

I.

Our method15 based on the

partition

function Z defined

by

Z

=

jj

exp

(tp jj

«~

«~

+ h

jj ~j (I)

«=±i ,,j

where the

magnetic

field h is written as h

= H +

(I t),

and we then

expand

Z in powers of the variable t, I-e-

Z =

jj ~ jj (p jj

«~ «~ A

jj

«~ ~

e~~~

~ ~'~'

(2)

r~o ~' « >,j i

The

physical

case we are interested in

corresponds

to the value t

=

I,

where the inverse

temperature

and the

magnetic

field take the values

p

and

H, respectively.

The true behavior of the model is then

obviously independant

of the

parameter

A, but the

expansion (2)

when

truncated at any finite

order,

does have some functional

dependance

on A, which can be used

as a variational parameter. In

addition,

we observe that the series needed are

easily

derived from the

knowledge

of the

high-temperature

series of the free energy in a constant

magnetic field,

which are

already

available in the literature.

The

plan

of this work is thus to derive

explicitly

these series in the next

section,

where we show how

using stability

conditions to determine A

permits

u5 to

distinguish

values of

p

which converge towards the critical

coupling.

The third section 15 devoted to the determination of two

independant exponents

like and v,

through

the critical

magnetisation

for &, and

through

an

optimized

ratio

analysis

for v.

2. Variational estimates of the critical

temperatwe.

The

high-temperature expansion

of the free energy

E(p, h)

of the

Ising

model reads

E( p,

h

)

=

In

(2

cosh

(h

+

~j $

~j a( tanh~

~

(h ) (3)

p~i

where the coefficients

a(

can be obtained up to p = 9 from reference

[7]

as functions of the

dimensionality

d of the

hypercubical lattice,

the calculations

being

carried out with the

help

of the

symbolic manipulation

program MAPLE. Derivatives of E with respect to h at h

= 0 generate observables like the

magnetisation

or the

magnetic susceptibility.

We thus consider X~

= %~

E/%h

~, L m

0,

and obtain their

t-expansion

from

equation (3) by making

the substitutions

p

-

tp,

h

- H+ At. These read at order N:

x

((p, H,

=

~o ~j

t~

Efi(p, H, ) (4)

with

Efi(p, H,

A

)

=

~~

~~

%[+~ ln

(2

cosh

(H

+

))

+

r.

~

pP

P

(

~

)r

p

+

[~ v [~ al I

p )~

~~+~ ~

tanh~

~

~H

+ A

~5)

(4)

Equivalently, collecting

powers of

p,

one can write for the observables at t=

I,

H

= 0 the

expansions

Xl(P> )

"

I P~AI,p(A)

(6)

where

A

(,

o

(A )

=

~j ~~j ~

%(+ ~ In

(2

cosh

(A ) (7)

and

j P N p ~ ~r

A

(

~

(A )

= ~

~j a( ~j

, %[+~

tanh~

~

(A (8)

P' q=o r=o ~'

in such a way that

they

reduce to the usual

high-temperature expansions

when A

=

0,

and are

independant

of A a5 N goes to

infinity.

At finite order N we treat a5 a variational

parameter

and search for values

fulfilling

the

stationarity

conditions %i

x((p,

A

)

=

0.

We

begin

with the cases L even, for which A

= 0 is

always

a solution. In addition to this trivial

value, pairs

of

opposite

solutions ± A

(p )

can appear

depending

on the value of

p.

To

see this it is convenient to

expand %iX~~

in the

vicinity

of A

=

0,

I.e.

~~

pN

N

~ ~~

~A~'~ ~~'

~

~ ~

~q ~A ~

~~~h~~

~ q=>

~i-

i

); Z al

'

~l

~ +~

tanh~

~ A + °

(A

~)

(9)

~

=

and to observe that

%(~ + '

tanh~

~ A

=

C)

tanh A + O

(tanh~

A

( lo)

%(~+~

tanh~~

A

=

C)

+ O

(tanh~

A

(I I)

where the constants

C)

vanish if L

< q

I,

and otherwise are

equal

to

~~

"

~~~~

~

~~~~~~

~

Ii

o

~12)

Using

the relations

(10-12)

and the definition

~~T~ "

~~Tfi~

~l

(°)/~~Tfii~ ~(°) (l~)

the

expansion (9)

can be written

hich

shows the apparition,

as soon as

pm p(~, of

a

pair of

±

A(p) iving for the which, according to quation (6)

corresponds to L

=

I and is an odd unction of A.

Just

model,

the

sequences (fl(~) are

thus

dentified with timates

of

the critical

pc,

(5)

334 JOURNAL DE

PHYSIQUE

I M 3

coefficients

A()(~(0)

are the usual coefficients of the

high-temperature expansions,

I-e-

N

X~T~~~(fl,

~

"

0

=

~ fl~ A~T~p~~(0)

=

(flc fl

~~~~~

('~)

p=0

and

thus,

for N and p

large, A((~+~(0) PIP p~~~*~~

' from which one obtains

fl(~= fl~(1-

~~~~~

(16)

N

While it is

interesting

to observe that the

stationarity

conditions

diX~~(fl,

A

)

=

0 select sequences of

couplings fl(~ converging

towards the true critical one, one must admit

that, being

interested to locate it

precisely,

we learn

nothing

more than the ratio tests

already

Table I.

Sequences fl ( ~lirst line)

and

PI (second line)

as N goes

from

I to 9.

(Stars

indicate the absence

of

real

solutions).

Each column

correspondi

to a value d

of

the dimension between 1.25 and 4 and an estimate

of fl~

is

given

last line

from

a

comparison of

the two sequences or an I

IN extrapolation of

the best one, when it appears

feasible (d

~ l.65

).

N~d

1.250 1.375 1.500 1.650 1.750 1.875 2 3 4

0.400 0.364 0.333 0.303 0.286 0.267 0.250 0,167 0,125

0.730 0.664 0.608 0.553 0.521 0.487 0.456 0.304 0.228

2 0.667 0.571 0.500 0.435 0.400 0.364 0.333 0.200 0.143

0.816 0.719 0.643 0.570 0.529 0.486 0.450 0.281 0.204

3 0.783 0.641 0.545 0.464 0.422 0.380 0.346 0.203 0.144

0.856 0.738 0.649 0.566 0.522 0.475 0.436 0.264 0.190

4 1.022 0.793 0.647 0.531 0.475 0.420 0.377 0.210 0.146

0.916 0.779 0.675 0.581 0.531 0.479 0.437 0.256 0.182

5 1.297 0.900 0.697 0.554 0.490 0.429 0.382 0.210 0.147

0.954 0.806 0.692 0.589 0.535 0.480 0.435 0.250 0.177

6 0.490 0.608 0.606 0.541 0.493 0.439 0.393 0.213 0.147

1.003 0.821 0.699 0.593 0.537 0.481 0.435 0.246 0.173

7 0.509 0.567 0.587 0.542 0.497 0.444 0.397 0.214 0.148

***** 0.932 0.698 0.594 0.539 0.481 0.434 0.243 0.170

8 0.20 0.47 3 603 0.756 0.561 0.461 0.404 0.215 0.148

***** ***** ***** 0.606 0.546 0.484 0.434 0.241 0.168

9 0.308 0.213 0.000 1.248 0.611 0.470 0.407 0.215 0.148

***** ***** ***** 0.613 0.554 0.486 0.434 0.239 0.166

flc I.,

1.3

0.9,

1-1 0.75

0.61,

0.63 0.56 0.49 0.44 0.22 0.149

(6)

performed

in the framework of the

high-temperature analyses.

We

have, however,

at our

disposal

the

stationary

conditions on L odd. As we cannot treat

analytically

these

constraints,

we restrict their

study

to the

magnetisation (L

=

I)

which is

expected

to

give

the best sequence,

just

as the best sequence for L even is

given by

the ratios of the

magnetic susceptibility,

associated to the

stability

of the free energy itself L

=

0. It then appears in the

case L

= I that at small values of

fl

there are

always

pure

imaginary

solutions A and when

fl

increases above some threshold

p(,

one can find in addition

pairs

of real solutions

±

(p ).

As in the

previous

case, this sequence

(p ()

indicates critical

points

and is fisted with the sequence

(p()

in the table I for various dimensionalities. From

equation (16)

p(

~

p~ (1-

~

),

where y is the

magnetic susceptibility exponent,

known to decrease

N

from oJ to I as d increases from I to 4

(Ref. [3]).

This I

IN

behavior is

apparent

at low order

only

when d~2 and then the best sequence

corresponds

to L

=

0,

but when d<2 a

comparison

of the two sequences is needed to

give

an estimate of

p~(d).

3. Variational estimates of the critical exponents.

The

previous

results

suggest

that we

investigate

further the

magnetisation,

which in presence of a small

magnetic

field H must behave a5

H'M

at the critical temperature. The present

approach gives

us the

opportunity

to evaluate the exponent

through

the

expression

N

3

(H,

A

)

= =

jj

t~

3~(H,

A

(17)

H

dH

In X

(flc, H,

h

)

, o t i

where the series

appearing

in Def.

(17)

is derived from the

expansion (4).

We then represent 3

(H,

A

) by

the Padb

approximants

formed from this series in t,

subsequently

set

equal

to its

physical

value t

= I

and,

since N «

9,

we focus on the

[4, 4], [3, 5], [5, 3], [4, 5]

and

[5, 4]

approximants.

It appears that when H is

large,

H~,

it is easy to find the values of A, A

= A

(H),

which stabilize all the

approximants

around a common value for

3(H,

A

(H)) expected

to be close to the exact one, as for the case d

= I that we have checked. We then

decrease H in order to find a

region

H=

H~

where

3(H, (H)) displays

a minimal

dependance

with

H,

and we assume that the

exponent

3 is

given by

3

=

3

(H~, (H~) ).

If we decrease further

H,

we find a

spurious

increase of

3(H, (H))

and for smaller fields no

prediction

can be done. This behavior is illustrated on the

example

shown in

figure I,

where

d=2 and 3~~~~~

=15,

and where we estimate 3

=15±0.2,

within an effective field

H~

~ 0.06 and values of A~ = A

(H~)

in the range A~ ~

0.44 0.47. More

generally,

the results

predicted by

this method for various dimensions d below 2 are listed in the table II.

(Above

d

=

2,

our results agree with the values

already known.)

It appears that the determination of 3 is very sensitive to the

precise

location of

p~,

but when one considers the

exponent

~ as to

compare with its

prediction

~~z

given

in reference

[4],

one finds more accurate values

always

in agreement with ~~z.

We now turn to the evaluation of an other exponent, and to eliminate the uncertainties linked to the determination of the critical

point p~,

we use a « critical

point

renormalization »

method

[7, 8]

that we recall below.

Suppose

we have two functions

F~(p ),

k

=

1, 2,

with a

common smaller

singularity p~

Fk(P

"

z P~~l Ck(' P/Pc)~~~

k

"

',

2

('8)

then the function

R(x)

defined

by

the series

R(x)

=

jjx~a)Ia~ behaves,

for x near

I,

as

r

(7)

336 JOURNAL DE

PHYSIQUE

I M 3

(1- x)~~~~'

~' Thus a, a~ + I is

given by

the value of

L(x)

=

(I x)

d~

log R(x)

at

x = I.

Choosing Fj

=

x((p,

A and

F~

=

xl (p,

A

)]~,

we have

a j a~ = y~ 2 y~ =

vd,

and thus

v =

(L(x

=

I) I)/d. (19)

0.46

~<S

Ii

Fig.

orrespond to

[4,

5] and [5, 4] Padb approximants of 3 [H, A (H)]. Numbers along these

the

values

A (H) here these ave extrema

with

espectto

the

parameter A.

Table II. Estimates

of

the exponent 3

for

various values

of

the dimension d between I and 2

as

function of

an assumed value

p~ for

the critical temperature. The

corresponding

values

of

~,

~ =

(2

+ d +

(2 d)

3

)/(3

+

1),

are

compared

to the

predictions

~~z

of reference [4].

d

p~ H~

A~ 3 ~ ~~z

1.250 0,15 0.9 30-33 0.82-0.83

1.15 0.20 90-100 0.775-0.777 0.30-1.00

1.30 0.25 1.2 280-320 0.758-0.759

1.375 0.9 0.15 1.04 50-55 0.674-0.679 0.30-0.80

1-1 0.15 1.26 230-260 0.635-0.637

1.500 0.70 0.20 22-28 0.603-0.631 0.35-0.65

0.75 0.20 41-44 0.567-0.571

1.650 0.61 0.15 0.68 20-24 0.482-0.507 0.30-0.50

0.63 0,15 0.68 25-32 0.450-0.477

1.750 0.56 0.13 0.64 19-23 0.396-0.425 0.30-0.40

1.875 0.49 0.13 0.57 18-19 0.312-0.322 0.27-0.33

2 0.44 0.06 0.45 14.8-15.2 0.247-0.253 0.25

(8)

Our

procedure

to evaluate

L(x

=

I)

is to form Padb

approximants

to

L(x), starting

from

equation (6)

for

xl

and

xl,

and to search the values of which stabifize v

given by equation (19).

The series in the variable x

giving L(x)

is known up to the 8th order and

thus,

to

simplify

the

analysis,

we select a set of

6th,

7th and 8th order

approximants ([4/2],[3/3], [2/4], [3/4], [4/3], [3/5], [4/4], [5/3])

and fix A as to minimize the

dispersion

of the values of

v

given by

this set. This crude choice does not

significantly improve

the determination of v for d

~ 2

(for example

at d

=

2,

0 and 0.991 w v w

1.014).

At lower dimensions

however,

as

shown in the table

III,

pure

imaginary

values of allows to obtain a set of coherent

values,

task we have found

impossible

within a standard Pad]

analysis.

In

conclusion,

it appears that the methods we use are able to

compete,

for d<

2,

with the

sophisticated

summations of the

e-expansion performed

in reference

[4],

and our results are in full agreement with this work. At

higher dimensions,

the

improvement

is not so

striking,

but we want to

point

out that the

magnetisation

seems to be the best observable to

analyse

within the

present approach.

It can be thus of some

help

for models where the order of the transition is difficult to assert.

Finally,

we want to

point

out that the usefulness of such variational series has been also

recently demonstrated,

in a

slightly

different context and

through

other

methods,

in the work of reference

[9].

Table III. Predicted ranges

of

values

for

the exponent v

for

various dimensions

from

the

approximants of

section

3,

when is

fixed

at the

complex

value

given

in column

Ali.

The numbers in column v~z are taken

from reference [4].

d

Ali

v v~z

1.250 0.035 1.7-3.4 1.5-4.5

1.375 0.016 1.6-2.9 1.6-2.6

1.500 0.016 1.49-1.84 1.45-1.85

1.650 0.012 1.27-1.38 1.30-1.44

1.750 0.009 1.18-1.26 1.20-1.26

1.875 0.002 1.ll-1.13 1.09-1.ll

Acknowledgements.

We are

grateful

to Andrb Neveu for

having suggested

this

investigation

and for

stimulating

conversations with Gerard Mennessier and other

colleagues

in

Montpellier.

References

[1] NEVEU A., Variational

improvement

of

perturbation theory

and/or Pertubative

improvement

of variational calculations. Festschrift for Andrb Martin,

Springer

tracts in Modern

Physics,

S. Ciulli, F. Sheck and W.

Thinning,

Ed.

(To

be

published)

1990.

[2] SEzNEC R, and ZINN-JUSTIN J., J. Math.

Phys.

20 (1979) 1398.

(9)

338 JOURNAL DE PHYSIQUE I M 3

[3] TSALLIS C. and DA SILVA L. R.,

Phys.

Rev. A26

(1982)

1095.

[4] LE GUILLOU J. C. and ZINN-JusTiN J., J. Phys. France 4s (1987) 19.

[5] BONNIER B., LEROYER Y, and MEYERS C.,

Phys.

Rev. B 40

(1989)

8961.

[6] WALLACE D. J, and ZIA R. K. P.,

Phys.

Rev. Lett. 43

(1979)

808.

[7~ BAKER G. A., Jr,

Phys.

Rev. B IS

(1976)

1552.

[8] MOORE M. A., JASNOW D, and WORTIS M.,

Phys.

Rev. Lett. 22

(1969)

940.

[9] KAWASHIMA N., KATORI M., TSALLIS C. and SuzuKI M., Centro Brasiliero De

Pesquisas

Fisicas

CBPF-NF-038/89 Preprint (1989).

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