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Statistical properties of one-point Green functions in disordered systems and critical behavior near the

Anderson transition

Alexander Mirlin, Yan Fyodorov

To cite this version:

Alexander Mirlin, Yan Fyodorov. Statistical properties of one-point Green functions in disordered

systems and critical behavior near the Anderson transition. Journal de Physique I, EDP Sciences,

1994, 4 (5), pp.655-673. �10.1051/jp1:1994168�. �jpa-00246939�

(2)

Classification

Physics

Abstracts

71.30 71.55J 72.15R

Statistical properties of one.point Green functions in

disordered systems and critical behavior

near

the Anderson transition

Alexander D. Mirlin

('. *)

and Yan V.

Fyodorov

(2. *,

**)

1')

Institut für Theorie der Kondens~erten Materie, Universitàt Karlsruhe, 76128 Karlsruhe, Germany

(2) Department of

Physics

of

Complex Systems,

Weizmann Institute of Science, Rehovot 76100, Israel

(Received J Oc.lober 1993, accepted 9 Feb;uaiy J994)

Abstract. We investigate the statistics of local Green functions G(E,x..r)=

(>. (E ù

)~'j x),

in particular of the local density of states p cc Im G(E, .r, x), with the Hamiltonian

ù

describing trie motion of

a quantum

particle

in a d-dimensional disordered system.

Corresponding distributions are related to a function which plays the rote of an order parameter for the Anderson metal-insulator transition. When trie system can be described

by

a nonlinear «- model, the distribution is shown to possess a

specific

« inversion » symmetry. We present an

analysis of the critical behavior near the

mobility

edge that follows from the abovementioned relations. We explain trie origin of trie non-power-like critical behavior obtained earlier for effectively infinite-dimensional models. For any finite dimension d

< cc trie critical behavior is demonstraled la be of trie conventional power-law type with d cc playing the rote of an upper critical dimension.

1. Introduction.

The

phenomenon

of the localization of a quantum

partiale

moving in a random media is still far from

being completely understood, despite great

efforts

spent

after the Anderson's

original

paper

[Il

The

scahng theory

of localization

proposed by

Abrahams et aÎ.

[2] predicted

a

transition from the

conducting

to an

msulating phase

with increase in the disorder for any

spatial

dimension d~ 2. The

Lagrangian

formulation of the

problem

is based on ideas of

Wegner [3]

who introduced the so-called N-orbital model.

Developmg

further this

approach,

a

(*) Peinianent addiess

Petersburg

Nuclear Physics Institute, 188350 Gatchina, St.

Petersburg,

Russia.

(~~) After

September,

1994 : Fachbereich Physik, Uni-GH Essen, Essen, Germany.

(3)

number of authors

[4-6] mapped

the

problem

onto an effective non-linear «-mortel

(NSM)

with

making

use of the

rephca

trick. The

corresponding renorrnalization-group analysis

in 2 + e dimensions

[5-8]

put the

scaling

ideas on a

quantitative ground, leading

to an

e-expansion

for the critical exponents

describing

the behavior in the

vicinity

of the

mobility edge.

At the same

lime,

the

following pecuharity

of the Anderson localization was realized

[3, 9]

: the

one-point

Green

function,

which

plays

in the

Lagrangian

formulation a rote

analogous

to that of the order parameter of usual second order

phase transitions~

does net exhibit any critical behavior. This

fact seems to break the Goldstone theorem and leads to a failure of the usual mean-field

approach.

As a consequence, the order parameter and the upper critical dimension of the

theory

remained unidentified.

The

supersymmetric approach,

devised

by

Efetov

[loi

as a

rigorous

alternative to the

mathematically

ill-defined

replica

trick~ gave a new boost to the

investigations

of the

problem.

The

validity

of the

predictions

of the

scahng theory

of localization was

questioned by

Efetov

Il and Zimbauer

[12]

who studied the Anderson transition m the

supermatrix

NSM on the

Bethe lattice

(BL).

A very unusual

non-power-like

cntical behavior

(namely,

an

exponential

decrease of the diffusion constant and a

jump

in the inverse

participation ratio)

was found.

which seemed to be in contradiction with the

scaling hypothesis.

It was

emphasised

in

[12]

that the whole function on a super coset space

plays

the rote of an order parameter for the

theory

of Anderson locahzation.

However,

the

physical meaning

of this function defined on a formai level in

iii, 12]

was

completely

unclear.

Further

insight

into the

problem

was achieved m our earlier paper

[13]

where the

phenomenon

of the Anderson localization was

mvestigated

in the framework of the BL version

of the usual

tight-binding

model rather than the NSM. In addition to

reproducing

the

unconventional cntical behavior obtained in

il1, 12],

a clear

physical meaning

was attributed to the order parameter function : it was shown to be related to the distribution of the one-

particle

local Green

function,

the

imagmary part

of which is

equal

to the local

density

of states

(LDOS).

That confirrned the

general

fundamental idea

suggested by

results of the

study

of mesoscopic fluctuations

[14]

in the

theory

of Anderson localization the whole distribution function is to be considered in order to extract the relevant

physical

information. The

discovered

physical interpretation

of the order parameter function

[13] provided

the link between the formai

description

of the Anderson transition in terms of a spontaneous symmetry

breaking

which

naturally

emerges in the framework of the supersymmetnc

approach

and the

commonly accepted

view on the nature of localized and extended stores

[15].

A new field-theoretical reformulation of the

problem

was constructed in

[16]

for the

nonlmear «-model and in

il 7]

for the

tight-binding

model.

Corresponding Lagrangians

have a nontrivial saddle

point providing

a kind of the mean-field

approximation

which was called the

effective medium

approximation (EMA)

in

[16].

Because of the way the

approximation

is

constructed,

this saddle

point reproduces

the solution of the basic non-linear

integral

equation of the Bethe

lattice, leading

to the same

non-power-hke

cntical behavior. The authors of the

recent paper

il 9]

put forward the

hypothesis

that such an exotic cntical behavior is the intrinsic

feature of the Anderson transition and should be

expected

for real

physical

systems in

arbitrary spatial

dimension d

~ 2. Some

physical

picture of the transition

advocating

this point of view

was

suggested.

On the other hand, a number of

physical

arguments supporting the

opposite

point of view was

given

in

[17].

In the present paper we

complete

our

argumentation presented

in

[17]

and put it onto a

quantitative

basis. For this purpose, we denve

general

expressions for the distribution of one-

point

Green functions m a framework of the

supersymmetric

forrnahsm. We would Iike to note that

investigation

of the

mesoscopic

fluctuations of one-point Green function

lin particular~

of

LDOS)

is of

special importance

because this

quantity lin

contrast to, e-g-,

conductance)

is a

(4)

local one and its distribution can be defined not

only

for a finite

sample

but remains nontrivial

m the

thermodynamic

limit as well.

The outline of the paper is as follows. In section 2 we

explain

the concept nf the order parameter function in terms of both nonlinear «-model and

tight-binding

mortel. We derive the

general expressions

for the distribution of the local Green function. A nice symmetry property

relating

the behavior of this distribution function at

large

and small values of its argument follows from the obtained results. In section 3 we calculate

explicitly

the distribution function of the local Green function within the NSM

approach

in the

simplest

case of the unitary NSM.

From this

expression

we extract the distribution of LDOS which is considered in section 4.

Finally,

in the section 5 we

apply

these results to the investigation of the Anderson transition.

We show that the

non-power-like

critical behavior obtained in

il1-13, 16, 17]

is an artifact of the

pathological

space structure of the BL or of the EMA

imitatmg

this

spatial

structure. These

models

correspond effectively

to the case of infinite

spatial

dimension which tums eut to be a

singular

point in the case of Anderson localization. We argue thon for any finite d the critical behavior at the

mobility edge

is of the

power-law

type with

d-dependent

critical

exponents, d = ce

playing

the rote of an Upper critical dimension. As d

- ce some of the

exponents tend to zero or to

infinity matching

the

non-power-hke

behavior on the BL and in EMA.

Most of the results of the present paper were announced earlier in

il 8].

2. Order parameter function and the distribution of

one~point

Green function.

We start from the disordered

tight-binding

mortel defined

by

the Hamiltonian

Ù

=

£

p,

a)

a, +

£

t~~

a)

a~

Il )

' <'J>

where the site energies p, or the

off-diagonal

matrix elements t,~ are

supposed

to be random variables. The main

abject

of

investigation

m this paper is a distribution of the local one-

particle

Green functions

GR

=

(jÎlE+t~ -Ù)~'j j)

~~

G~

=

(jj(E-i~ -Éi-'j j).

Here

subscripts

R and A stand for the retarded and advanced Green function

respectively

E is the

(Fermi)

energy and J~

~ 0 is the level

broadening (an imaginary frequency).

In order to find this distribution we consider the

following

set of correlation functions :

~X't,m

=

(G[ Gj)

,

j3)

where the

angular

brackets denote the averaging over the disorder.

TO calculate

lft,

~~

we use the

supersymmetric formalism,

which allows one to express the

disorder-ai<eraged products

of Green functions in terms of correlators of a certain supersymme- tric model. The details of the formalism can be found in

[10, 20].

We are gomg to consider

throughout

the paper the case of broken lime reversai invanance

corresponding

to the unitary symmetry of the effective action.

Physically

this consideration is relevant for the system

subjected

to a

magnetic

field. However ail formulae of the present section can be

immediately

rewntten with miner

changes

for the

orthogonal

symmetry

(unbroken

lime reversai

invanance)

case as well.

According

to the supersymmetry

method,

we introduce at any site i of the lattice a 4- component supervector ~P, =

(R,

j, x, ,~

R,

~, x~

~)

with 2

complex commuting (R)

and 2

(5)

complex

Grassmannian

lx

components. The effective supersymmetnc action then reads

[20, 13]

e~ ~ l*1

=

exp 1

£ 4~) (E

e~ L +

1~

~P, i

£

t~~

~P) ~P~~

,

(4)

, <,j>

where L

=

diag (1,

1, 1,

1),

and the correlation function

(3)

can be written m the form

n> f

~~>

~ f

m

~

~

~l ~Ù' ~J.

'

~

~~JÎ2 ~j,

2

)~

~ ~ ~

(5)

,

In view of the fact that the

preexponential

factor in

(5) depends only

on the field at the site

j,

the field variables m ail other sites t #

j

can be

integrated

eut. This allows us to rewrite

equation

(5)

in the

followmg

way

'~f, ~m-f

m "

q

d lfi

lR1

R )~

lR? R2 )~

G1lfi

)

,

16j

where the function

G(~P

is defined as

G(~P~)

=

Îfl

d4~~

e~~l*1 (7)

,«~

We will call

GI

~P

)

the order parameter function ; in context of the supervector formalism this

notion was introduced in

[13].

Different

analytical properties

of this function m locahzed and

extended

phases

allow one to describe the locahzation transition as a spontaneous symmetry

breaking phenomenon.

This

justifies

the use of the term « order parameter »

(see

Sect. 5 for a

more detailed

picture).

In view of the invanance of the action

S(~P)

with respect to the transformations

~P -T~P ; Te

U(111)

x

U(1il ),

the function

G(4~)

is

actually

a function of 2 scalar variables, which are the mvanants of these transformations

G(4~)mG 4~~

~~

4~, 4~~ ~

4~) (8)

2 2

In view of this property, the Grassmannians in equation

(6)

can be

easily integrated

eut and equation

(6)

con be reduced to the form

~~

~~

~ ~ ~

~~~~ ~~~~

~~ ~~

~

é

R~~Î(RÎ

~~~

Having

at our

disposai

ail moments uX't,,,~ we can restore the whole distribution of the local Green function

(2).

Let us consider for this purpose the inverse

Fourier-Laplace

transform of the function

G(R(, R()

:

G

(R(, R()

=

~

du

Î~

du e~"~~~ ~~~ ~~~~~~~~ w lu, v

). (10)

-

ce 0

Substituting

equation

(10)

mto equation

(9)

and

performing

the integration over

R,

and

R~

we get

'~t,

n< ~

d~ du

~l'

(l1)

~oe Î~

(U +

(~

l v )"'

(6)

According

to the definition

(3)

of

lft

~,

this means that w(u,

v)

is the

joint probability

distribution of real and

imaginary

parts of the inverse Green functions

Gj', Gj'

Gi'=u-iv; Gj'

=u+iv.

(12)

Consequently,

the distribution function P

(g,,

g~ of g, =

Re

G~

=

u/(u~

+

v~)

and

g~ =

Im

G~

=

v/(u~

+

v~)

is

equal

to

P(gj,g2)=

~

~~wl~~'~, ~~

~

(131

(~> +

~2)

~'+ ~2 ~'+ ~2

We now suppose that we can

perform

the derivation of the non-linear «-model

starting

from

some

microscopic

formulation. The

following

situations are known when this

procedure

is

ngorously justified

:

ii)

N-orbital

Wegner

model with N w states per site

[3-5, 20]

;

(ii)

weak disorder

(metalhc)

limit

[6, 10]1

(iii)

quasi ID models with a

large

number of transverse channels

[21, 22]

or with a

long

range

hoppmg [23]

(iy)

a system of small metallic

granules [1il.

To find details of the denvation of the

graded

nonhnear

«-model,

the reader is

again

referred to the literature

[10, 20].

The brief sketch of the

procedure

is as follows :

Iii

averagmg over the disorder m

equation (4)

;

(ii) decoupling

of

resulting quartic

terras m the action

by introducing

composite 4 x 4

superrnatrix

variables

Qi conjugated

to the

dyadic product L'/~

4~,

4~) L'/~ (the

so-called Hubbard-Stratonovich

transformation)

;

(iii)

Gaussian integration over the supervectors ~P, and calculation of the remaining

Q- integral by

the steepest descent method.

As a

result,

the matrices

Q,

are restricted to the

saddle-point

mamfold of the form

Q

" r i AT

LT~'

,

(14)

where r and A are real numbers, A ~ 0 and T is a certain set of transformation

forming

the coset space

U(1, 1/2)/U Il 1)

x

U(1 1).

It is convement to use a standardized set of

Q-matrices

:

Q

=

ITLT~

',

so that

" r +

AQ.

The expression

(5)

for the correlation functions

(3)

can

now be written in the form :

~n>-t

~~'f,

m ~

fi fl

~À~

(QI

e ~ ~~~ d~fi

(~ Î ~')~ (~Î ~2)~

X 1

x exp

(14~~ L'/~(E

i

AQ~ L'/~ 4~) (15)

Here S

(QI

is the action of the

resulting

nonlinear «-mortel :

S

(~'

=

i

£

Str Q~ Q~ + i ar

(p )

~

£

Str

LQI l16)

~

<,J>

and

(p)

is the average

density

of states defined below.

In fuit

analogy

with equations

(6), (7),

we can integrate eut m equation

il 5)

ail variables Q~ with k #

j

and define an order parameter function m terms of the

Q-fields [12]

:

F

joj)

=

fl

dp

joi)

e~ ~ (QI j17j

1#j

(7)

Then equation

(15)

is reduced to the

following

forrn

~ri,

~, t

~

dp

iQ

F

iQ

d4~

iR i Ri )f (Ri R~)m

x

x exp

(14~ L'/~ (E

r

AQ L'/~

4~

il 8)

Calculation of the

integral

over 4~ in

equation il 8)

can be

easily

done with use of the Wick theorem, and we gel

Jft

~ =

'~'

~

dp iQ i

F

(Q i

x

ii k)! im k)!

kl

] f-k ] m-k ] ]

~

~E-i

-AQ Îii ÎE-r-AQ133 ÎE-r-AQ 13 ÎE-r-AQ 31

~~~~

In view of

Q~

=

-1 we have

_~ E-r

~

A

Qm«+ar(p) Q. l~°~

lE-1-~Q~

"

jE-ri~+A2 lE-1)~+A~

Using

the defimtion of the correlators

Kt,

~

it is easy to show that the

coefficient

m front of

Q

in

equation (20)

is ar limes average

density

of states

(p )

=

) (GA G~)

=

~~)

~.

(21)

"1

(E r)

+ A

Using (20)

and

performmg

a

simple

transformation we may present

equation (19)

in the

followmg

forrn

~~

G~

« f

G~

« m

~~~~ ÎÎ

"(PI "(Pi

Î ii

k

)ÎÎÎ~ k)!k!~ ~~ ~~~

~

~~~ ~~~

~

~~

~

~~~ ~~'

~~~~

We will use the standard

parametrization

of

Q-matrices il 0]

-iÀj

pje'~'

Q

~

(U ~lÀ2

Àl2~

~~~

U~~

V

pje~'~' iÀj V~~ ~,

'

p~e~~~ iÀ~

ÀI~Î+À~Î> À2~Î~ÀIÎ>

0~vi~oe; 0~H2~i; o~4j,42~2ar;

U

= exp

°

(~

; V

= exp1

°

~~

;

(23)

£Y fl

with Grassmannians a, a *, fl, fl * The

corresponding

measure is then given

by

dp (Q)

"

~

j

dÀ~ d4

j

d4~

da da *

dfl dfl

*

(24)

IAi À

2)

(8)

It can be shown

[12]

that m view of the

U(i Î1)

x

U(1 1)

invanance the order parameter function F

(Q) depends only

on «

eigenvalues

»

j, À~

(cf. Eq. (8))

:

F

loi

=

F

iÀ,,

À

~i 125)

Thus~

we defined the order parameter functions m bath vector and «-model formahsms

(G (4~

and F

(Q), respectively).

The connection between them follows

immediately

from

(6), Ii 8)

:

GI

m

)

=

dp iQ i

F

iQ i exP1-

4~

L'J~IE

r

AQ i L'/2

m

j 126)

Let us now

shghtly

redefine the function

GI

~P

)

;

Gjm)

=

e-1(~-'~*~L~ GolA'/~~P) 127)

so that

Go14~ )

=

dp iQ )

F

iQ e-'*'~"~

Q~'~~ *

128)

Then, according

to

equations (22)

and

(28)

~X'iÎÎ ~m-1

=

~j

~,

d~°lR? Ri)~ lR? R~)~ Gol~P)

m f

~ ~ ~ ~ ~

é2G~

Î!

m!

~~~' ~~~~~ ~~ ~~

éjR() à(R()

~~~~

On the other hand,

expanding

the exponent in

equation (28)

in power series we gel

m t

Go(R(, R()

=

£ ~q R( R("'lf)°( (30)

t,n<

~'

It is easy to see from

equations (29)

and

(30)

that

Go(R(, R()

satisfies the

followmg

hnear eqUat1°n

Go(R(, R() é2~~

=

d(S() d(SÎ) Jo12 Ri Si ) Jo12 R2 52~

~

j~2~

~

jS()

' ~~~~

l

where

Jo

is the Bessel function.

Furthermore,

summmg up the serres in

equation (30)

we obtain

Go(R(, R()

=

)dz

dz * P

o

(z

exp

(- iR(

z * +

tR(

z

(32)

lmz

~ 0

Here P

o(z)

m P

o

lu,

v is the

probabiiity

distribution of the real u and

imagmary

v

pans

of the norrnahzed Green function

_G~-«

~

G~-«

~

"(PI

~~~~~ ~

"(PI

~ ~~ ~~

The relation

(31) implies

the

followmg

symmetry property of he distribution function

Po(z):

Pol- z-'1= izi4Poiz). 1341

(9)

Therefore,

the distribution of the one-point Green functions is invariant with respect to the inversion z

- -1/z. This property is exact

only

in the nonhnear «-model

(saddle-point)

approximation.

The denvation

performed

in this section for the unitary symmetry case con be

repeated

with

miner

changes

for the

orthogonal

case as well. The symmetry property

(34)

has

exactly

the

same

form, independently

of the symmetry of ensemble.

3. Distribution of one~pomt Green function in the case of

unitary

symmetry.

In this section we

perform

an

explicit

calculation of the distribotion function

Po(z ),

starting

from

equations (32)

and

(28)

of the

preceding

section. Our aim is to express

Po(z

in terms of

the order parameter function

FIA,, À~). Taking

for the sake of convenience

4~

=

(R,,

0~

R~, 0)

with real

R,,

R~ in

equation (28),

we hâve

~0(~Î> ~Î)

~ dl~

(Q)

~

(Q)

eXP

(~ l~Î Q''

+

Î~Î

Q33

~l ~2

Q>3 ~

~2 Q3') (35) Substitutmg

here the

parametnzation (23)

for the elements of

Q-matrix

and

integrating

over ail

variables except

À,,

À~, we get

Go(R(, R()

=

~~' ~~~

F

(À,,

~

)

e~~'~~~ ~~~~ x

À1 2

x

(2 Io(2

pi

Ri R~)

À

R( R( -1, (2

p,

R, R~)

pi

R, R~(R(

+

R( )) (36)

where

Io, Ii

are the modified Bessel functions. The distribution function P

o

(z

can be obtained

by

mvertmg the transformation

(32)

which is of Fourier type with

respect

to the variable y =

R( R(

and of

Laplace

type with respect to x =

R(

+

R(

:

Po(u,

v =

) j~ dy ) ~

~ ~~ dx

Go %, j

exp

(iuy

+

vx) (37)

"

ce

"1 -<ce

For this purpose, we should make an

analytical

continuation of

Go(R(, R()

to the whole region Re

(R(

+

R()

~ 0

(onginally

it is defined in the region

R(

~

0, R(

~ 0

only).

This can be done

by

using the identities

io(2

P,

R, R~)

=

j'~'°' dp p~j+R(R]~~

~"l

,-~~

p~

'

~~°

Ii (2

p,

R, R~)

= ~'

~

~ ~~

dp e~'"~(e~~

~~~ l

).

~"l~l~2

<->ce

Substituting (38)

in

(36)

and then m

(37)

we get

j

oe 'C°

dÀ~ <

+<ce

~~, ,,,, ~,,

~°~~~~~

(2ar)~ -~~~ -ioe~ ~l~À2~~~'~~~~ <-ioe~~~

~ ~

x À

j

(x~ y~

e~'~~~ ~~

~~~~~~'-

p

lx

e~'~~(e~~~~~~~~~' l

ii (39)

2p

(10)

Performing consecutively integration

over x, y and p, we obtain

j

dÀ, dÀ~

Po(u,

v =

FIA

j,

À~)

x

2 ar

Ai

À~

~l~l[+Sl +i~Î-1>ùlijôi2vÀ-U~v~-1). 140)

Two short comments are

appropriate

here. At

first,

we observe that the « compact » variable À~

plays

an

auxiliary

rote in

(40). Namely,

the distribution

Po(u, v)

is determmed

by

the

function

Fo(À,)= ~~~

F(Àj,À~) (41)

4 " À>

À2

depending only

on the « non-compact »

eigenvalue

,.

Secondly,

P (u~ v is determined

by

the value of

Fo(À, )

and its first and second derivatives in the

point

~'

~

~/v~~ ÎÎ~~ Î~ ÎIrÎz~ImÎ~'Î

~~~~

Therefore,

two variables

À,,

À~

equally

introduced in a very formai way as

eigenvalues

of

«retarded-retarded»

land

«advanced-advanced» as

well)

blocks of the

supermatrix

Q (see Eq. (23)) play essentially

different rotes : À~ tums ont to be an

auxiliary

variable and

Ai acquires

a

physical

meaning determined

by equation (42).

After substitution of

equation (41)

mto

equation (40)

the remainmg

mtegration

over

À,

can be

explicitly performed

due to the presence of the &function. After a

straightforward, though quite lengthy calculation,

the result can be

expressed

in a rather compact form :

Po(u,

vi

=

~ IA

1)

~

Fo(À, )(

,,2 + ~2+

(43)

v~ ôÀ

j

ôÀ,

Ai

~~

It is easy to

venfy

that the distribution function

(43)

does

satisfy

the symmetry property

(34).

This is the immediate consequence of the fact that

Ai

m equation

(43)

is an mvariant of the transforrnation z

- z~ ' v - VI

(u~

+ v~)~ u - u/

(u~

+ 1>~

).

Let us note that ail calculations in this section were done

explicitly

for the «-model of

unitary

symmetry. In the case of

orthogonal

symmetry the calculations become much more

cumbersome and we have not got a relation

analogous

to

equation (43)

in a

manageable

form.

4. Distribution of local

density

of states.

In two

preceding

sections we

investigated

the

joint probabihty

distribution

Po(u,

v of the real and

imaginary

parts of the normalized one-point Green functions. In this section we consider the distribution of the imaginary part v = p/

(p) (LDOS) only

P

,

Iv )

=

du P

o

lu,

v

j44)

For the case of unitary symmetry we can substitute into equation

(44)

the distribution

Po lu,

v calculated in the section 3

lit

is more convenient

actually

to use for this purpose the

(11)

expression (40)

rather thon the final form

(43)).

Then after some

algebra

we get

~

>/2

p (v

j

à' "

,

Fo

IA

,

~ ~

,

(45)

'

év2 Ù

1>~ + l

2L

Àj

2 v

where

Fo(À j)

is defined in

equation (41).

The LDOS distribution function

P, Iv

can also be obtained in a more

straightforward

way,

by

direct calculation of LDOS moments :

~~~~

j21

jn

~~

~

ii

ii'~'

)1

'~Ù~

~~~~

For the unitary case

lf)°j~

is

given by equation j22)

and we find

~~~~

j21),'

~

Ii k)1 in'~'i

k

)lklkl ~~ ~~~

~

~~~ ~~' ~~~ ~~~ ~~' '~~~~

Equation j47)

can be rewritten in the form

(V")

=

2~ "

Îdjl(Q)

F

(Q Ill Q" lQ33

+

Q'3

+

Q3')~ (~~)

It can be

easily

shown that ail terms in the expansion of

equation j48)

which contain different

powers of

Qj~

and

Q~j

vanish in view of the invanance of

F(Q), equation j25),

so that

j48)

is indeed

equivalent

to equation

j4?).

That allows one to restore the distribution function

Pi lui

in the

following

form ;

~

lIV) =

dJ1(Q)

F

(Q)

à

V

(1Q> 1Q33 +

Q'3

+ Q3>

)j (49)

Using

now the parametnzation

(23)

and

performmg

the

integration

over ail the variables except

À,,

À~, we

reproduce

the result

(45).

The

procedure leading

to an

expression

for the LDOS distribution in the form

(49)

can be

straightforwardly repeated

for the

orthogonal

symmetry case. That

gives

m fuit

analogy

with

(49).

However, the actual calculation of the

integral (50)

is very cumbersome and we are not able to present the result m a

simple

form,

analogous

to

(45).

Let us note in conclusion of this section that the LDOS distribution

(45)

possesses the

following

symmetry property

P, Iv

'

= v~ P

,

Iv1 151)

In the

asymptotical regions

of small v « and

large

v w values of

LDOS,

it can be wntten in

the form :

P, iv)

~

,fi

v- 3/2

j"

~

)~~,~~ $ i~foiÀ ii,

v »

(52)

~/2

v À

P, lui >,fi

v~ ~/~

j~

~

~)

~~~

~~ (ÀFO(À )),

v « (53)

,/~~

jÀ- Iv)

(12)

5. LDOS distribution near the Anderson transition.

The relations obtained above are of

general

nature and do not

depend

on a

spatial

dimensionality.

Ail information about the distributions of local

quantities

is contained in the order parameter function. In the

simplest

0 D and

quasi

D cases this function can be found

exactly,

that allows one to

study

the distribution of LDOS and

eigenfunction

components for a

small

partiale [25

or a wire

[24, 26].

In the present paper we

study implications

of the obtained relations for a system of

higher

dimension in the

vicinity

of the Anderson metal-insulator

transition. It has been known for a

long

time

il 5]

that the LDOS distribution function has a different behavior in the localized and extended

phases

of a

system. Namely,

m the delocalized

phase

the LDOS distribution has some finite

limiting

forrn when the extemal « level width

»

J~ tends to zero. In contrast, in the localized

phase

the LDOS distribution is

singular

in this

limit,

so that

keeping

~ ~0 is necessary m order to

regularize

this

expression.

In

reference[13]

we found a one-to-one

correspondence

between the symmetry

breaking

mechanism which govems the Anderson transition

(with

an order parameter

being

a function m the intemal

superspace)

and this

physical description

of the localized and extended

phases.

This was

possible

due to relations of the type of

equations (10)

and

(13)

which

provide

an

intimate connection between the behavior of the order parameter function in the internai superspace and the distribution of LDOS

reflecting

fluctuations of

eigenfunctions

in the usual coordinate space. Below we present the

analysis

of a cntical behavior near the Anderson transition point based on the same kind of relations. In

fact,

we find it more convenient to work

within the NSM

approach using

relation

(45).

We would like to stress however that the

analogous

considerations can be

straightforwardly

carried out for the

tight- binding model,

I.e.

in a supervector forrnalism as well. Our conclusions

conceming

the critical behavior can be obtained in this way, too, and are therefore of

general validity

for the disordered systems under

consideration.

We staff our

analysis by reminding

the reader of the spontaneous symmetry

breaking

description

of the localization transition in the framework of the

supersymmetric

formalism

il1-13].

The first term in the nonlinear «-model action

(16)

is invanant with respect to the

global

U

(1,

2

)

transformations

Q,

-

TQI

T~ ' The second terra breaks this invariance down to

U(111)

x

U(1il

). One

might

therefore expect that in the limit ~ -0 the function F

(Q)

defined

by equation (17)

becomes U

il, 12)

invariant. The

only

function

possessing

such a property is a constant ;

furtherrnore~

it is easy to prove that

FIL

= l~ so that the

U(1, Ii 2)

invariance

implies

that

F(Q)=1.

In

fact,

it tums out that the condition F

(Q)Î~

_o -

defines the localized

phase

of the system.

However,

the convergence of the

function

F(Q)

to

unity

is non-uniforrn in

Q.

More

precisely,

it can be shown that as

J~ - 0

F

jQ )

>

Fi j2

ar

jp )

~

j

) j541

with

Fi ix

~

Il i i 155)

Therefore,

when ~

- 0 the

typical

scale of the variable À

j is J~~ ~, i e. is defined

by

the symmetry

breaking

parameter ~. In contrast~ in the delocalized

phase

the function F

jQ)

=

F

j~

À~)

remains a non-trivial function of À

j~ À~ in the hmit ~ =

0 and thus the abovementioned symmetry is

spontaneously

broken. However~ in the

vicinity

of the transition point the function F becomes

practically independent

of À

~ F

IA

i>

À~

)

> F

dIA

),

In

addition,

a

large

scale A

(diverging

at the transition

point)

emerges which governs the

typical

values of

(13)

the variable

Ai

This scale

plays

a rote

analogous

to that of ~ ~' in the localized

phase.

The main difference is that ~ ' is determined

by

the symmetry

breaking

terra in the

action,

and the appearance of A is a consequence of the spontaneous

breaking

of symmetry. The described mechanism

explams

the use of the terni « order parameter function »

conceming

F

(Q),

The similar

picture

of the localization transition was found in

[13]

for the case of

tight-binding

model in the framework of the supervector formalism. In this case the order parameter function

is defined

by equation (7)

; it is a function of two scalar variables

(see (8))

which we now choose in the formx

=

~P) 4~j

+

4~j

4~~

m

4~'

4~,

y =

4~) 4~, 4~j

4~~

m

4~'L4~. Again

the

action

(4)

is

U(1, 112)-invanant

at ~

=

0 ; ~ ~0 breaks this mvanance down. For the

function

G(x, y)

such an mvanance means

being independent

of x. The localized

phase

is

again

the

phase

where the invanance is not

spontaneously

broken. This means that as

~ - 0 G

lx, y)

tends to a function which does not

depend

on x. This convergence is not

uniform m x; in

fact, G(x, y)=Gt(i~x, y)

when ~ -0. In the delocalized

phase

the

dependence

of

G(x, y)

on x remains in the limit i~

=

0. However, in the

vicinity

of the

transition

point

this

dependence persists only

in a region of

large

values of x. The

corresponding

scale A in the space of the variable x

diverges

at the

mobility edge. Therefore,

the variable x

plays

a rote

completely analogous

to that of the « non~compact »

eigenvalue À,.

We now

proceed

in the

following

way. We shall substitute the order parameter function obtained for the NSM on the Bethe lattice

il1, 12]

into

equation (45)

and

subsequently analyze

the

corresponding

distribution

Pi (v

). We demonstrate that

although qualitatively

such a form of the LDOS distribution function should hold for d

~ oe as well, some

quantitative

features of the solution are inconsistent with the d-dimensional lattice structure and reflect the structure of BL. Guided

by

a

physical reasoning,

we find the correct behavior of

P, Iv

and observe how it

modifies, according

to equations

(45), (52), (53 ),

the behavior of F

(À,,

À

~).

This leads to a

drastic

change

in the critical behavior at the

mobihty edge.

We start our

analysis

from the extended state

phase.

As was shown in

il1, 12],

close to the

transition

point

on the Bethe lattice the function

F(À,, À~)=F~(À,)

has the

followmg

behavior :

À '/2

gr (n À

F

d(À

=

Î a În À SIn À W A

(56)

A În A

À >/2 À 1/2

F~j(À

cc exp b In

A~

exp c In A

ÎÎ

w A

(57)

with the

large

«

symmetry-breaking»

scale Ah1 and some numencal constants a, b, c.

Substituting equation (56)

into

equation (45)

we find

P, (v

cc v~ ~/~ A~ '/~

ln~

A

(1

+ cos " ~~In A~~~~ ; A~ ' « v « A

(58)

Furthermore, the function

P,

Iv is

exponentially

small when either v w A or v « A

',

in view of the relations

P, Iv

cc

F~(v/2

,

v « A '

(59)

P, lui

cc

F,j(1/2 vi,

v w A

(60)

and the

corresponding

asymptotic behavior

(57)

of the function

Fj(À

(we have omitted the

preexponential

factors which are of no importance for our consideration).

According

to

(58)

and

(59), P,(v)

has a maximum in the region

v~A~'

The

qualitative

behavior of

(14)

P,

iv is shown in

figure ('),

We stress that the normalization

integral

of

P, iv

is dommated

by

the region v

A~' (in

view of the v~ ~/~ decrease in

P, lui

at

larger vi.

Therefore, not

only

the most

probable,

but also

typical

values of v are of order of

A~'.

In contrast, the main contribution to ail moments of the distribution

P, lu

comes from the region v

A, yielding

~~"Î~~P,lv)dvccAq-,

,

q»1, j6j~

~~~ p/<p> ~

Fig.

l. The

shape

of the distribution function Pi (v) of the norrnalized local density of states v

p/(p)

in a vicinity of trie Anderson transition point. Trie most

probable

and typical value

v A ' is much less than trie average value

(v)

=

The critical behavior of the scale A is discussed in trie text.

Let us show that such a

qualitative

form of

P, iv )

is in fuit agreement with the

predictions

of the

scalmg theory

for the multifractal behavior as d

- ce

[28].

In the

scaling theory,

the

following

cntical behavior of the

averaged

moments of wave functions

P~(E) (P~ being

the inverse

participation ratio)

in both localized and delocalized

phase

can be found

[29, 28]

P~(E

cc

E~

E cc f ~'«

(toc. phase) (62)

R~(E)

cc N~ '

P~(E )

cc

(E E~

"~ cc f ~/~

(deloc. phase) (63)

where N is the total number of sites (the

volume)

of the system~ f is the correlation

(localization) length, foc (E-E~(~~

at the

mobility edge.

The cntical indices ar~,

p~, x~ satisfy

the

following

relations :

p~ =

du

(q 1) p~, x~

=

ar~/v (64)

It was shown m

[28]

that ail x~ should tend

simultaneously

to zero:

x~~1/d

when

d

- ce.

Thus,

the exponents

p~,

which determine

according

to equation

(63)

the behavior of

(')

Let us notice that the distribution function

Pi

(v)

suggested by

trie results of trie renormalization-

group treatment in 2 + p dimensions [27, 14] has trie same qualitative features and satisfies trie exact relation (51),

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