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Barriers and metastable states as saddle points in the replica approach

J. Kurchan, G. Parisi, M. Virasoro

To cite this version:

J. Kurchan, G. Parisi, M. Virasoro. Barriers and metastable states as saddle points in the replica approach. Journal de Physique I, EDP Sciences, 1993, 3 (8), pp.1819-1838. �10.1051/jp1:1993217�.

�jpa-00246833�

(2)

J.

Phys.

I Hance 3

(1993)

1819-1838 AUGUST

1993,

PAGE 1819

Oassification

Physics

Abstracts

64.60 75.10

Barriers and metastable states

as

saddle points in the replica approach

J. Kurchan

(~),

G.Parisi

(~)

and M-A- Virasoro

(~)

(~)

Dipartimento

di

Fisica,

Universit£ di

Roma,

La

Sapienza,1-

00185

Roma, Italy

and INFN

Sezione di Roma

I, Roma, Italy

(~) Dipartimento

di

fisica,

Universith di Roma

II,

Tor

Vergata,

via E.

Camevale,

Roma 00173,

Italy

and INFN Sezione di Roma

II, Roma, Italy

(Received

30 December 1992,

accepted

in final form 5

ApriJ 1993)

Abstract. In the context of the

p-spin spherical

model we show how saddle

points

of the

n - 0

replica

free energy surface can be

interpreted

as metastable states or barriers.

1. Introduction.

In a

previous

work

[I]

some of us

proposed

the use of the

replica

method on constrained

systems

as a tool to

study

the

properties

of a

system

off

equilibrium.

In this paper we

show,

in the context of the

spherical p-spin model,

that

by considering

a set of identical

systems ("real replicas"

with

adequate

constraints between

them,

one can

probe

the

phase-space

structure of the

original

model and obtain information on its metastable states and even barriers.

Interestingly enough,

one can uncover within this framework

a

meaning

for several saddle

points (other

than the one

yielding

the Gibbs-measure

results)

that appear in the

replica

treatment for the model.

Furthermore,

we will show that

quite apart

from the

replica approach, considering coupled

"real

replicas"

is also useful from the numerical

point

of view.

The

p-spin spherical

model was introduced in [2] where the

replica

solution was derived.

The authors showed that for zero

magnetic

field and below a certain

temperature (denoted

as

T(

in the next

sections)

there

are two stable solutions. One of them is

replica symmetric (RS)

while the other one has a

single

level of

replica symmetry breaking (IRSB).

The coexistence of stable solutions is not new in the

replica approach

and in

general

one has to invoke ad-hoc

arguments

to decide which is the relevant

one. In this

example

the

peculiarity

of the IRSB solution is that the z

parameter

becomes

larger

than one in the

temperature

range

Tc

< T <

T(. Then, by analogy

with the Random

Energy

Model for which the solution can be

checked~

for z > I the RS solution has to be chosen.

However,

the IRSB solution continues to exist and has a

larger

free energy. Its

meaning

is not clear: We shall show that the consideration

JOURNAL DE PHYSIQUE T 3, N'S, AUGUST >993 65

(3)

of two constrained

systems

can be

helpful

in

understanding

this solution. We shall see in what follows that the IRSB solution for z > I is

just

one

example

of solutions which even if

they

are to be dhcarded as far as the

computations

within the Gibbs-measure

they

still contain

physical

information on the

system.

The

organization

of the paper is as follows: In section 2.I we review the results obtained in reference [2]

using

the standard

replica approach

with

a

single

real

replica.

In section 2.2 we solve the TAP

equations

for this

model,

which turn out to take a very

simple

form.

They

are

used later for the

interpretation

of the solutions. In section 3 we solve the

thermodynamics

of several real

replicas

with constraints

amongst

them. In section 4 we use all of the

previous analysis

to

try

to derive a

complete picture

of the different saddle

points.

Finally,

in section 5 we

present

the results of numerical simulations for this model. We show how the numerical

analysis

of several constrained real

replicas

can be very useful in the

study

of

phase

transitions.

2. The model.

The

p-spin spherical

model consists of N

spins

that take continuous values constrained

by:

£S,?=N (1)

The energy is a

p-spin

interaction

E =

~ J;,...; S;, S; (2)

p p

1<;,<;~...<;~<N

where the

J;,...;~

are

independent

random variables with zero mean and variance

~~,j~-,.

We shall

only

work with zero

magnetic

field.

For p

= 2 the energy

(2)

is a function

having

a

pair

of minima

corresponding

to the

highest eigenvalue

of

J;; (and

indeed the same can be said of the TAP free

energy),

so that one does

not

expect

any

interesting spin-glass

behaviour for that case. We concentrate on p > 2.

In this paper we shall

consider,

as a tool to

analyse

this

model,

the associated

system

consisting

of R "real"

replicas [Ii

with the same interaction

R

ER

"

£ J;;..;~ £[S/,

S/~

+ +

S~ S(] (3)

1<I,<ia...<i~<N 1

where each set

S),..

,

St

satisfies a constraint

(I).

In addition we fix the distance between the

configurations

of the real

replicas:

£S[S)

= N

p[~

for r

#

t

(4)

;

Before

going

into the discussion of several real

replicas,

in the next two subsections

we review

briefly

the standard

replica-method

solution reference [2] and the TAP

equations

for one real

replica.

2,I REPLICA SOLUTION.

Following

[2] we calculate Z" with

(2).

After

averaging

over the

interactions, uncoupling

the

sites,

and

partially using

the saddle-

point equations,

we arrive at

(4)

N°8 BARRIERS AND METASTABLE STATES 1821

the

expression

for the free energy

(here

and in what follows we write the extensive

quantities

per

site):

~F "

L(Qofl)~ jTtl'~ol (5)

off where

Q

is the usual

n x n

overlap

matrix.

The

spherical

constraint for the

spins

induces an additional term in the free energy:

Fconstr

"

£ Za (I Qoo) (6)

a

where

Za

are

Lagrange multipliers imposing Qaa

= I.

Proposing

for

Q

a Parisi ansatz with blocks of size To, xi,...,zk,zk+i " I

corresponding

to

overlaps

qo,qi;.,qk,qk+i " I one finds that the

only saddle-point

solution with q;,z;

increasing

with I is a

single-step

ansatz

(determined by

qi, go =

0, z) yielding

a free energy and energy per site:

~'~ ~~

~~ ~'~~~~ ~

~fl~~~1 1

~))qi ~j~~~~

~~~

Er,b

=

II (I z)q(] (7)

The saddle

point

values for qi and z are most

easily

obtained [2]

by

first

calculating

the

temperature-independent quantity

y:

~

=

-2v j

~

)))~ (8)

and then

using:

~)~~(~ gl)

"

)) IT (9)

flZ

"

qi~())~() l) (1°)

We find three

phases:

a)

at low

temperatures

the

replica symmetry breaking

solution has a

higher

free energy than the

replica symmetric

one. The value of z is < I for

temperatures

below a certain

Tc, given by:

Tc

=

y(

~

)i(I y)'~~ (ll)

2y

b)

Above

Tc

the

replica symmetric

solution

yields

the

statics,

but there is a range of tem-

peratures Tc

< T <

T(

whithin which there is still a

replica symmetry-breaking solution,

but

now with

z > I.

T(

is

given by

Tl

=

~(()l(1- ~)l~~ (12)

at which

temperature

qi takes its lowest and z its

largest

value:

2

qmin " 1-

zmax =

~

~( l) (13)

(5)

c)

Above

T(

there is

only

the

replica-symmetric

solution with q

= 0. The free energy is then:

Fr,

=

(14)

We shall refer to these three

phases

as the low

temperature, intermediate,

and

high temperature phases respectively.

For future

reference,

let us write the results for zero

temperature.

As T - 0 we have:

flz

-

a~=(~~)i(~-l)

P l/

fl(I-qi)

-

aq=(~~)i

P

E -

Ea

=

-((~)i(1-

+

P VP

(F-E)

- 0

(15)

the last relation because the

entropy

goes as

-Infl (as

it should in a continuous

system).

From this we can

compute (see [4])

the average

logarithm

of the

"spectral density" p(E)

of local minima of the energy

(near

its

O(N) tail):

0

E <

Eo

lnp

=

(16)

~

a~(E Ea) (E Ea)

>Ci 0

2.2 TAP EQUATIONS. The "naive" mean field free energy per

spin

for this model reads:

fnaive

"

~( £

J"> >...>'P'~'>

'~"P #'~(i q)

q N =

£ ml (17)

;

to this one must add the

Onsager

reaction term which is the same as for a +

spin

model [5]

and has been calculated for

p-spin

interactions in

[6]:

freact.

"

[(P ~)~~ P~~~~ +11 (18)

This free energy has a saddle

point

at m; = 0 Vi. One can uncover the structure of the solutions with q

#

0

by making

a

change

of variables mi,

, mN -

ii,

,

@N, q, where:

~' "

@

'

$

~i ~'~

(19)

'~'

, '~

to

get:

iTAp

=

-qP/2(11 J;,,...,;~i;, I;~ (in(i q)

_~ j(p i)qP pqP-1

~

ij

~

4

~~~~~'~"°~~~ fl~~~~

~~ ~~~ ~~~~

~~~

~ ~ ~ ~~~~

(6)

N°8 BARRIERS AND METASTABLE STATES 1823

Hence,

the behaviour of the TAP

free-energy

with

respect

to the

"angular"

variables

@; is identical to the zero

temperature

energy

landscape,

maxima are

mapped

into

maxima,

saddle

points

into saddle

points,

etc.

The saddle

point equations

must now be

supplemented

with the

equation

for q:

~~)~'

= 0

(21)

This can be solved in two

steps, defining:

z +

pqi-i(i q) (22)

one obtains an

equation

for z in terms of the energy of the local minimum at T = 0:

Z "

(P 1) (~I~T=0

+

(l~~=0 ~~c)~~~j

E0c

"

-(~~~ ~j~~~ (~3)

P One root for z is smaller and one

larger

than

~ i/2

~~

(P )P~

~~~~

We can now insert z obtained from

(23)

into

(22),

the

largest

root for q of this

equation yields

a minimum.

If we assume that as in the TAP

approach

for the

Sherrington-Kirkpatrick

model the con-

dition of

validity

of a TAP solution is the same as the condition for

stabilty

with

respect

to fluctuations inside a cluster in the

replica approach,

we have the condition

(see [2]):

)fl~P(P I)q~~~

+

(1 q)~~

> °

(25)

which can be rewritten

using (22-24)

as

z < zc

(26)

which

implies

that

only

the value of z

given by (23)

with the minus

sign

has to be considered.

We have hence the

following picture: given

a local minimum in energy at T = 0 it maps

continuously

into at most one local minimum for the TAP free energy at

temperature

T

# 0,

and all the TAP solutions ale obtained this way. For a

given ET=o,

the value of q of the associated minimum decreases with

temperature (cfr. (22))

until it reaches the value qm;n at which

temperature

the solution

disappears.

The

temperature

at which a TAP solution

disappears depends

on the energy it has at T = 0.

Furthermore,

since for saddle

points:

(((f)

=

q'

> 0

(27)

the TAP free energy local minima are ordered in the same way as the local minima of energy at T = 0 to which

they correspond. Hence,

the lowest TAP local minimum with q

#

0

(with

free energy e

fa(fl))

"is

mapped

from" the lowest minimum at zero

temperature ET=o

"

Ea.

It is also the one survives to

higher temperature.

(7)

Note that in contradistinction with the

Sherrington-Kirkpatrick model,

there is neither

split-

ting

of roots as

temperature changes

in a second-order

phase

transition

fashion,

nor

change

in the

ordering

of free

energies

of TAP solutions

(I.e.

no

"chaoticity"

with

respect

to the

temperature).

To

proceed

further we need to know the lowest energy at T

= 0. We make use of the

replica

results of the

preceeding

subsection but

only

those

for T=0,

and show that both

approaches

are consistent for all

temperatures.

Putting

the value for the lowest energy

Ea

at T

= 0

(IS)

into

(23)

we obtain

z(ET=o)

=

())~'~ (28)

so that the TAP

equation

for q

(22)

reduces to the IRSB

equation (9).

One can also check that the TAP

expression

for the free energy

(20)

coincides with the

replica expression (7):

ITAP(ET=o

"

Eo)

+

/o(p)

"

Frsb(p) (~~)

Hence,

we have shown that the

replica symmetry-breaking

values for qi, and F

correspond

to the lowest TAP solution

(with

q

# 0)

for all

temperatures, including

the "intermediate"

phase

where z > I.

Furthermore,

since this is the TAP minimum

(with

q

# 0)

which

disappears

at

higher temperature,

we have that for T >

T(

the TAP

equations only

have the

paramagnetic

q = 0 solution.

One can

readily

calculate the tail of the

density

of TAP-states for all

temperatures

T <

T(

using

the value for T

= 0

(16)

and

multiplying by

the

"compression"

factor

(27)

of the

density

lo /

<

lo

j inp

=

(30)

azqi~'~(f fa(fl)) (f fa(fl))

>Ci °

The coefficient

multiplying f fo(fl))

in

(30)

satisfies

(cf (15)):

azqi~~~

"

qi~~~( ))I() 1) (31)

which is

nothing

but

zfl

as obtained from the

replica

calculation

(cf (10)),

as was to be

expected

[4].

We have hence established the connection with the

replica approach

for all temperatures.

We can now

interpret

the three

phases:

a)

at low

temperatures

the

system

is frozen in the lowest TAP minima

b)

for T >

Tc

the

logarithm

of the

density

of TAP solutions grows fast

enough

with the free energy, so that the Boltzmann

weight

exp[N(

In

p(fTAP) fIfTAP]

~~~~

has a saddle

point

above

lo,

and the Gibbs state is a state made of many TAP solutions. This is

why

the

replica approach

ceases to individuate each TAP solution. The actual free energy of the Gibbs state has in this

phase

a contribution both from the TAP free energy and from In p

(usually

called the

"complexity").

c)

above

T(

there are no more TAP solutions other than the

paramagnetic.

The

phase

transition from

a)

to

b)

is in strict

analogy

with the random- energy model [7]

(with

the

p-dependent

TAP solutions

playing

the role of the random

energies)

and has also been discussed for Potts

glasses [8, 9],

where it is referred to as

"entropy

crisis"

(8)

N°8 BARRIERS AND METASTABLE STATES 1825

3.

Analysis

with several real

replicas.

We now turn to the

analysis

of the

system by considering

R real

replicas (3)

with the distances between the

configurations

in the real

replicas

constrained

by (4).

The effective

averaged

free energy has the same form

(5)

as for a

single

real

replica;

with

Q

a Rn x Rn matrix:

Qll p12 plR

p12~ Q22 p2R

Q

"

plR~ p2R~ QRR

The constraint term now reads:

Fconstr

"

£ Za (i Qoo) £ ErsPil

+

£ ErsPl~ (33)

a r#s,o r#s,o

Alternatively,

one can ommit the last term and consider

£~~,

~

er,P[[

as an additional inter-

action. '

In this work we

only

consider real

replicas

constrained to be at the same distance

pl'

= pd for all r

#

s

(34)

We shall make for

Q

the ansatz:

Q~~ =

Q

forall r

P~' =

(P~'l'~

= P for all r

#

s

(35)

with

Q,

P Parisi matrices with the same block sizes 0 = To < xi < < zk < zk+i " I. The free energy reads

(

"

-( £1(Qap)~+(R~l)(Pap)~l

off

~j~~~~~~~~~

~~~~~

~R/~~~~~

~~~ ~~~~

Denoting

qo,qi, ..,qk, qk+i "

I,

and po, pi,..,pk,Pk+i " Pd the

overlap

values for

Q

and P

respectively,

we have:

(

"

1(ql

+

(R l)Pl)Zi

+

(ql

+

(R l)Pl)(22 Zi)

+ +

+

(ql

+

(R l)I)(1 ~k)

+

(I

+

(R I)Pl)1

~R/

~

Ii ~~~~~~

~

2 i

~~~~~~~ ~ ~

~+i k

~~~~~~~~~~

2~fl

~

Ii ~~~~~~

~

/2 Ii ~~~~~~~

~ ~

~+i k ~~~~~~~~~~

(37)

(9)

with:

q~ " q0~P0

ql'

= qo +

(R i)po

q~ " q;-P;

q~' = q; +

(R I)p;

k+I

Ll

=

£z>(qj-qj-i)

;=;

k+I

ii

"

£ ~i(~i q)-1) (38)

j=I for R

= I we recover the usual

single-system expression.

In the next subsections we shall discuss

specially

the case of two real

replicas

R =

2,

and

only

mention the behaviour for R > 2 for a few cases of interest.

Within this

ansatz,

at all

temperatures,

we have

only

found solutions with one

breaking;

defined

by: (qi,

Pi,

z) and,since

we work at zero

magnetic field,

po

" qo " 0. The free energy

reads:

FR=2

=

(11

+

« (1 z)(qi

+

qi)I

)iIniz(qi Pi)

+

(I

qi Pd + Pi

)i

+

Iniz(qi

+ Pi +

(I

qi + Pd

Pi)li

-((I ))iIn(I

qi Pd +

Pi)

+

In(I

qi + Pd

Pi)1 (39)

In the next subsections we discuss the results and

implications

at different

temperatures.

3.I ZERO TEMPERATURE LIMIT, TAP BARRIERS. Let us start

by considering

the zero

temperature

limit for two real

replicas.

Using equation (39)

we find that in this limit qi

-

I,

z - 0

(as expected)

and pi - pd.

More

precisely

we have

,

with

b~, bp,

bq finite:

flz

- b~

~(l-qi)

- bq

fl(P-Pd)

- bp

(F E)

- o ~~~

Substituting

these variables in

(39)

we

get

their values and the energy as a function of pd

(see Fig. I).

For pd - I the energy per real

replica

is the same as that of a free

system (this

iS true also for R >

2),

as is to be

expected

since in that limit the two

configurations

coincide and can be chosen in the same energy minimum. As pd decreases the energy per real

replica

increases until it reaches a maximum

Emax

at a certain

p7~~

when

fl(pi p7~~)

= bp = 0. For

smaller values of pd the energy decreases until it reaches

again

the value for a free

system

at

pd " 0. This tells us that the minima of lowest energy are

typically

at

right angles

to each

other,

a result that is not

surprising

for

entropic

reasons. We will discuss the behaviour with pd in more detail in the next section.

Let us now concentrate on the

implications

this has for the barriers. Assume one starts

on a local energy minimum with energy

Eo (the

lowest energy for which there is an

O(e/~)

(10)

N°8 BARWERS AND METASTABLE STATES 1827

2.51

~

-2.52

2.53

2 54

0 02 04 06 OS I

Pd

Fig.

I. Free energy as a function of pd for p

= 4 and T = 0.

number of local

minima)

and walks towards another minimum also of energy ED We have

seen above that these other minima are at

right angles

to the

original

one. In

particular,

this

means that at a certain moment of the

journey

one has to be at a distance

p7"

from the

point

of

departure.

At this

point

the energy

is,

say,

Ei

But:

El

+

Eo 2 2Emax (41)

because

2Emax

is the lowest combined energy of two

points

of

phase-space

at

p$~~

from each

other. Since we have found

Emax

>

ED,

we have

El

ED

~ 2(Emax E0)

> 0

(42)

Hence we have shown that

Emax Eo

is a lower bound for the energy barrier between two

typical

minima of energy

Eo.

In

particular,

this

implies

that the barrier energy grows like

N,

unlike the

Sherrington-Kirkpatrick

model for which it is believed to grow as a certain power

, a < I.

For finite

temperatures,

we have shown that the TAP free energy saddle

points

are obtained

by

a

mapping

of the zero energy saddle

points-

their free energy

being

a smooth function of the

temperature.

Hence we can

immediately

extend the

previous

discussion to finite

temperatures

and TAP free energy barriers.

Indeed,

the TAP local minima do not

disappear

because the

barriers

separating

them

vanish,

but because

they

cease to be minima in the q direction.

3.2 0 < T <

Tc.

Here and in what follows we refer

(unless

otherwise

stated)

to the

system

with

only

two constrained

replicas.

We denote the

parameters

for a free

system (single

real

replica)

with the

superindex

"free".

(11)

.43

,44

.45

0 0,2 04 06 OS I

pd

Fig.2.

Free energy

as a function of pd for p = 4 and T

= 0.3

(< Tc).

We have

found, depending

on the value of pd, two

types

of solutions:

I)

from pd

" 0 up to a a critical value

p(~

there is a solution with pi

#

qi The value of pi

increases with pd from zero at pd " 0 to pi " qi at the

point

pd

=

p(~

The value of qi varies little in all the range of pd.

II)

for pd > p~~~ the solution has pi

" qi, both

increasing slowly

with pd. The

merging point

p(~

of both solutions satisfies:

( P(P I)q~~~

"

(I p~~~)~~ (43)

There are three values of pd for which pd " pi1

Pi " pd " 0

(solution I)

Pi "

p7~~

<

pi~ (solution I)

Pi " Pd " qi " q~~~~

(solution II) (44)

The free energy as a function of pd has a similar behaviour to that of the

preceeding

subsection

(Fig.2)

at pd " 0 the free energy per

replica

is

equal

to that of

a free

system

and pi =

0,

qi =

q(~~~ As pd increases the free energy

increases,

until a maximum is reached at the

point

pd "

P7~~

" Pi- For

larger

pd the free energy falls until the

point

pd

= pi = qi =

q(~~

is

reached for which

again

the free energy per

replica

coincides with that of a free

system (this

is also true for R >

2).

For

larger

values of pd the free energy increases

again.

The

physical interpretation

of the behaviour for pd <

p(~

is much the same as for the zero

temperature

limit. For pd of the order and

larger

than q(~~~, we are

choosing configurations

(12)

N°8 BARRIERS AND METASTABLE STATES 1829

inside the same state. Since the

overwhelming majority

of the

pairs

of

configurations

inside a state are at a distance q(~~~ from each

other,

if we fix pd

" q(~~~ we have for R

replicas

an energy

equal

R times that of a

single replica,

and

an intra-state

entropy

also

equal

to R times the intra-state

entropy

of a

single

state

(the

volume of the set of R

configurations

inside a state

mutually

at distances pd

" q(~~~ is the volume of

configurations

to the

R~~ power).

The

logarithm

of the number of pure states

(complexity)

remains the same; since once we have chosen in which state the first

configuration is,

we determine that the other R I are in the same state.

However,

since the

system

is frozen in this range of

temperatures (see

the discussion at the end of section

2),

the

complexity

of the

equilibrium

distribution is zero both for one and for several real

replicas.

For pd

larger

than q(~~~ we start

paying

a

price

in intra-state

entropy

because the

logarithm

of the volume of

configurations

inside a state with mutual distances pd decreases as -N

In[(I qf~~)~ (P qi~~)~]

3.3

Tc

< T <

T(.

We now turn to

considering

the intermediate

phase

in which there are

many pure states

(and

TAP

solutions),

but for which the usual

replica

trick

yields

a

replica

symmetric

solution

corresponding

to a Gibbs state made of an infinite

quantity

of pure states each with

vanishing weight.

We shall see that

considering

several constrained real

replicas yields

useful information in this situation.

We have in this case to

distiguish

between two

possibilities.

Let z~~~~ be the value of z of the IRSB solution of a free

system.

In this range of

temperatures

I < z~~~~ < zmax

(cf. (13)).

If

we consider R real

replicas,

the solution behaves in a different way if the

temperature

is such that

z~~~~/R

> I than if

z~~~/R

< I. The reason for this will be

explained

below.

For the case

z~~~~/R

< I we have found in this

temperature

range, three

types

of solutions

depending

on the value of pdi

I)

from pd

= 0 up to a a critical value

pf~

there is the

replica-symmetric

solution with

Pi " qi = 0.

II)

Above

pf~

the

replica symmetry

is

broken,

there is a solution with non-zero pi

#

qi At the

starting point pf~

the value of z

=

I,

and it decreases for

higher

pd, hence the free energy

changes continuously

with pd.

III)

At a

higher

value of pd

"

P~~ satisfying (43)

the solution merges with a solution pi = qi,

as in the low

temperature phase.

The free energy per

replica

at pd = 0 coincides with the

replica symmetric

free energy of a free

system. Again,

as pd increases the free energy increases

(see Fig.3),

until a maximum is

reached at the

point

pd

=

p$~~ (but

still qi

= pi "

0).

For

larger

pd the free energy

falls,

it

does so in the whole range in which the solution

(II) holds,

and further up to when the

point

pd = pi = qi " q(~~~

(within

the range of solution

(III))

is reached. At this

point

the free

energy per real

replica

takes a value

Fr,b

"

fa(fl).

For

higher

values of pd the free energy grows

again.

Note that

Fr,b

=

fa(fl)

is in this range

la~yer

than the

replica symmetric

free

energy.

We have

found, using exclusively

the

replica trick,

the lowest free energy of a pure state- in a range for which the

ordinary replica

trick ceases to individuate pure states because

they

have

vanishing weight.

To understand this we note

that,

as described in the last

subsection,

when pd

" qi "

q(~"

the energy and the intra state

entropy

for R

replicas

are

just

those of a

single

one

multiplied by R;

while the

density

of states at a

given

free energy remains the same. The Boltzmann

weight (32)

then reads:

exp[N(

In

p( fTAP) flR fTAP] (45)

(13)

0,76

0 78

o so

0 52

054

0 02 04 06 OS

Pd

Fig.3.

Free energy as a function of pd for p

= 4 and T

= o.6

(< T(

and >

Tc).

If the

system

is

frozen,

as in the last

section,

the saddle

point

is

simply

the lowest value

fTAP

"

fo(fl),

and it does not

depend

on R. In the

phase Tc

< T <

T(

we have seen that the

quantity

of states grows with their free energy fast

enough,

so that the saddle

point

of

(32)

is achieved for states of

higher

free

energies.

For R

replicas

the factor R in

(45)

favours the

free-energy

in its

competition

with the

complexity,

and hence the saddle

point

is achieved at lower free

energies.

For R

large enough

so that

z~~~~/R

< I the

system

freezes

(see

discussion

after

(30)).

3.4 METASTABLE AND UNSTABLE SOLUTIONS. In the

preceeding

sections we have

empha-

sized the

importance

of the solutions at values of pd at which the free energy of the constrained

system

is

stationary

with

respect

to the constraint value:

$(pd)

" 0

(46)

Pd

At this

point

it is useful to look at the calculations we have been

doing

from a

slightly

different

point

of view: We consider the constraint term in the free energy

(33)

without the last

term,

I.e. we fix the interaction term

strength (instead

of

considering

it as a

Lagrange multiplier):

F(e)

=

F(pd)

e

£ P$[ (47)

r#s,a and calculate the value of pd obtained from a

given

e

by:

e =

)(Pd)

=

)(Pd) (48)

(14)

N°8 BARRIERS AND METASTABLE STATES 1831

Clearly,

at

stationary

values of pd such that

(46)

holds the additional interaction needed to

impose

the constraint is zero. One can

imagine

a process in which the interaction e is

changed adiabatically

until the

system

reaches one of these

points (note, however,

that

"adiabatically"

involves

reaching equilibrium

at each

stage,

I.e. very

long times).

We shall return to this.

Consider now instead the case in which e is fixed and small. The total free energy

(47)

in

terms of pd

(in

the

present

context a variational

parameter) corresponds

to the ones we have

calculated

(Figs 1-3),

but "tilted"

by

the term -epd. For T <

Tc

this has the

effect,

however small e

,

of

favouring

the minimum

corresponding

to

larger

pd

(Fig.2).

As soon as we reach

Tc

the free energy of this minimum increases with

temperature (Fig.3),

this

finally

overcomes the effect of the term -epd at a certain

temperature Tc(e),

above which the minimum with smaller pd dominates. For e

small, Tc(e)

ci

Tc. Hence,

a small

perturbation

e has the effect of

making

the hidden first order nature of the transition show up: this will be shown in section 5 to be very useful in actual simulations.

Let us now discuss the relevance of the

points

for which the free energy is

stationary

with

respect

to pd. Since in these

stationary points

the interaction needed to

impose

the value pd is

zero, one would

expect

that the solution

describing

them

corresponds

to a solution for the free

system.

Given that the free energy of some of those

stationary points

is

larger

than that of a free

system,

the

question

arises as to

why they

are not considered as the

equilibrium

solutions for the free

system following

the usual criterion of

maximising

the free energy. We show below

that these solutions with

higher

free energy indeed

correspond

to saddle

points

of the

replica

free energy for a free

system,

but with z > I for the stable

stationary point

and with two

breakings

and z2 < xi for the unstable

stationary point.

Consider first the stable

stationary point

with pd

" 0. It is easy to see that the free energy

for all

temperatures

of this

point

coincides with that of a free

system.

The fact that this

happens

for pd " 0 is due to the absence of

magnetic

field.

Next,

let us consider the stable

stationary point

with with qi " Pi " Pd " q(~~~ Within this

subspace,

it is

easily

verified that the free energy of the

system

of R

replicas correspond

to the free energy of a free

system

with

parameters #i, lo,

it :

#1 ~ ql

fo

- 0

it - zR

(49)

Note that the constrained

system

with z < I

corresponds

to a free

system

with it < I for T <

Tc

but with it > I in the range

Tc

< T <

T(.

Hence in the intermediate range of

temperatures

the free energy of this

stationary point corresponds

to the

replica symmetry breaking solution,

which is

higher

than the

equilibrium

bee energy.

Finally,

consider the maximum of free energy with

respect

to pd. In the low

temperature phase

we have seen that this

corresponds

to a value of pd such that pi " Pd. It can be

easily

verified that a constrained

system

under this restriction

corresponds

to a free

system

with two

breakings

with

parameters

1i2,

iii, #2, #1, lo

" 0 related to that of the constrained

system by:

#2 ~ ~l

Ii

- Pi " Pd

§o - 0

f2

~ Z

iii

- Rx

(50)

Note that 1i2 <

iii

(15)

At intermediate

temperatures

we have that the maximum with

respect

to pd of the con- strained

system corresponds

to qi " pi " 0. This is related to the free energy functional of a free

system

with one

breaking

and:

Ii

- Pd

#Q - 0

~ ~ R

(51)

Hence,

we now see

why

these

points

have been

rejected

as

equilibrium

solutions for

(even

if

they

are saddle

points of)

the free

system,

but we now have an

interpretation

for them.

4. Saddle

points

of the free energy for a

single

real

replica.

We have seen above that all solutions of the

replica

saddle

point equations

for a

single

system

are

potentially interesting,

even when

they

do not

correspond

to the

equilibrium

distribution.

It is hence of interest to be able to enumerate all such saddle

points, including

those with

z >

I, decreasing

z; etc.

In order to do so we

generalize

the

procedure

of reference [2] to more than one

step

of

replica symmetry breaking-without assuming

either z; < I or z; < z;+i. We assume k-level

breaking.

We start

by

the

replica

free energy for a

single system. Putting

R

= I in

(37):

~

(~~~l

+

Q~(~2 Zl)

+ +

~~(~ ~k)

~

~)

~()

~

)l~(~l)

+

((

))ln(~2)

+ +

()

))lD(~k+1))

(52)

with:

k+I

~l" =

£ zi(qj qj-i)

I

=

I,..

,

k j=I

~k+I

" I qk

($3)

Differentiating

with

respect

to the q;

we

get

the

equations:

lzs

zs+1

3qs

zs-i zs

qs-i~

~

l~(~l~~ ~lll)

"

)[~~)() (5~)

S

and

~tq(~~

qo

[Li]~~

" 0

(55)

Here and in what follows ~J %

fli.

A second set of

equations

is obtained

by differentiating

with

respect

to the z;. After some

algebra,

and

making

use of

(54)

we

get:

((~i~ ~i-')

+ lL(~~

~~-i)~iI'

=

~~'ili~~~ (ill()) (56)

(16)

N°8 BARRIERS AND METASTABLE STATES 1833

Multiplying (54) by (q, q,-i)

and

dividing by (56)

we

get

an

equation independent

of the

temperature:

~

(f~ w()- Ii- il'~

=

-~l/~ (i~i l~)~'

S "

ii

k

~57)

where we have

defined,

for I

=

I,..

,

k:

qs-i

w, =

qs

YS "

~#~ (58)

s

Another

equation independent oftemperature

is obtained

by dividing (54)

for two succesive values of the indices:

'°$il

i

W, i

Vi](~ ~'°s+I) (i Wi~~) g,g,+1'

~

~'' '~

~~~~

These last two sets of

equations

have to be

supplemented

with the

equation

for qk:

lL~i~~

=

[

+

~llrl°

+ +

~ qk-i qk-2

~ qk qk-i

LkLk-i Lk+iLk

=

(1

~~)2Y (6°)

where we have defined:

ow, the to

solve the

a)

assume

a

value

of

wi

b) using

(57) this yields a

value of

vi

c)

nowing wr,yr one can calculate using

value for wr+i .

'°'+~"°i+2.. wk

Lk

~~

~

Yi'Yi+I.. yk

(~~~

from which one can

compute

Y.

e) Using (60)

and the value of Y one obtains qk and

Lk+i,

and hence all the q; and the z;.

f)

one must now check that the value of go obtained

by:

go " qk wi .w2.. wk

(63)

satisfies

(55).

This is

trivially

true if the root qo = 0 of

(55)

is used.

(17)

Note that the

steps (a) (d)

are

independent

of the

temperature.

There is also the

possibility

of a continuous

change

in

thq

q;,z;. In this case one does not need to minimi2e with

respect

to intermediate z;.

Taking

the square root of

equation (54) assuming

q; q;-i and q;-i q;-2

small,

and

subtracting

two succesive

equations,

one

easily

arrives at

~(~)

"

(i~(P ~))~~/~(( ~)~~~/~ (6~l

z decreases with q.

In order to see how this continuous branch is

matched,

we have solved the

equations

with I

breakings

for

large

values of k. Note first that the map

(wr,yr)

-

(wr+i, l/r+i)

has a fixec

point

at w = y = I.

Equation (57)

reads for w, Ci y, ci I:

~j~(i-w,) =(i-v~) (65

Now,

the successions wo, wi, w2, and go, Vi, l/2, are both

increasing

and

approach

w = y =

I. Near this fixed

point,

since the

change

in q and z become

infinitesimal,

we are on th<

continuous solution.

We have from

equation (58)

that:

~_

q;

_~ ~ ~

i=-- s+I. s+2.. k

~k

§" "

~fl~

" Ys+I.Ys+2...Yk

(66)

s

One can check that the

approach

wr, yr - I is slow

enough,

so the

tbr, §r

defined in

(66)

go

to zero for finite r and k - cc.

Hence,

for an infinite number of

breakings, only

the values of

tbr, §r

for r near k are non-zero. But these values are

products

of w;, y; near to one

(I.e.

q, z

varying continuously).

For

large

values of r we ale entitled to use

(65)

to obtain:

d

n~

p 2 ~~~~

from which we

get:

16 #

jiF-3 (68)

where we have set the constant to one because

§k

"

tbk

" I.

One can also write the

expression

for Y

(61)

as an

integral,

to

get:

Y =

f~ dtb§~

=

(69)

o P

The maximum value qk for k - cc is obtained from

(60)

with the value

(69)

of Y:

q©/1x~(1 qmax)

=

(~~~[

~~

)~/~T (7°)

This

completes

the solution of the limit k - cc. One can now

easily

check that

equation (68) together

with qmax from

(70)

is indeed the continuous solution

(64) palamefrized

as follows:

starting

from z - cc, q - 0 the value of z decreases while that of q increases up to q

= qmax

where the solution ends.

It is

interesting

to note that that the

equation

for qmax is

exactly

the

expression

obtained in the TAP

equations

for q of the

highest

energy

saddle-points~

I-e-

inserting ET=o

=

Ec

in

(22- 24).

One can also check

(after

some

algebra)

that the free energy of this continuous solution

also coincides with the free energy of such saddle

points.

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