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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�
Classification
Physics
Abstracts71.30 71.55J 72.15R
Statistical properties of one.point Green functions in
disordered systems and critical behavior
nearthe 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
ofComplex 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 Hamiltonianù
describing trie motion ofa 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 aspecific
« inversion » symmetry. We present ananalysis 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 quantumpartiale
moving in a random media is still far frombeing completely understood, despite great
effortsspent
after the Anderson'soriginal
paper
[Il
Thescahng theory
of localizationproposed by
Abrahams et aÎ.[2] predicted
atransition from the
conducting
to anmsulating phase
with increase in the disorder for anyspatial
dimension d~ 2. TheLagrangian
formulation of theproblem
is based on ideas ofWegner [3]
who introduced the so-called N-orbital model.Developmg
further thisapproach,
a(*) Peinianent addiess
Petersburg
Nuclear Physics Institute, 188350 Gatchina, St.Petersburg,
Russia.
(~~) After
September,
1994 : Fachbereich Physik, Uni-GH Essen, Essen, Germany.number of authors
[4-6] mapped
theproblem
onto an effective non-linear «-mortel(NSM)
withmaking
use of therephca
trick. Thecorresponding renorrnalization-group analysis
in 2 + e dimensions[5-8]
put thescaling
ideas on aquantitative ground, leading
to ane-expansion
for the critical exponentsdescribing
the behavior in thevicinity
of themobility edge.
At the samelime,
thefollowing pecuharity
of the Anderson localization was realized[3, 9]
: theone-point
Green
function,
whichplays
in theLagrangian
formulation a roteanalogous
to that of the order parameter of usual second orderphase transitions~
does net exhibit any critical behavior. Thisfact 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 thetheory
remained unidentified.
The
supersymmetric approach,
devisedby
Efetov[loi
as arigorous
alternative to themathematically
ill-definedreplica
trick~ gave a new boost to theinvestigations
of theproblem.
The
validity
of thepredictions
of thescahng theory
of localization wasquestioned by
EfetovIl and Zimbauer
[12]
who studied the Anderson transition m thesupermatrix
NSM on theBethe lattice
(BL).
A very unusualnon-power-like
cntical behavior(namely,
anexponential
decrease of the diffusion constant and a
jump
in the inverseparticipation ratio)
was found.which seemed to be in contradiction with the
scaling hypothesis.
It wasemphasised
in[12]
that the whole function on a super coset spaceplays
the rote of an order parameter for thetheory
of Anderson locahzation.However,
thephysical meaning
of this function defined on a formai level iniii, 12]
wascompletely
unclear.Further
insight
into theproblem
was achieved m our earlier paper[13]
where thephenomenon
of the Anderson localization wasmvestigated
in the framework of the BL versionof the usual
tight-binding
model rather than the NSM. In addition toreproducing
theunconventional cntical behavior obtained in
il1, 12],
a clearphysical meaning
was attributed to the order parameter function : it was shown to be related to the distribution of the one-particle
local Greenfunction,
theimagmary part
of which isequal
to the localdensity
of states(LDOS).
That confirrned thegeneral
fundamental ideasuggested by
results of thestudy
of mesoscopic fluctuations[14]
in thetheory
of Anderson localization the whole distribution function is to be considered in order to extract the relevantphysical
information. Thediscovered
physical interpretation
of the order parameter function[13] provided
the link between the formaidescription
of the Anderson transition in terms of a spontaneous symmetrybreaking
whichnaturally
emerges in the framework of the supersymmetncapproach
and thecommonly accepted
view on the nature of localized and extended stores[15].
A new field-theoretical reformulation of the
problem
was constructed in[16]
for thenonlmear «-model and in
il 7]
for thetight-binding
model.Corresponding Lagrangians
have a nontrivial saddlepoint providing
a kind of the mean-fieldapproximation
which was called theeffective medium
approximation (EMA)
in[16].
Because of the way theapproximation
isconstructed,
this saddlepoint reproduces
the solution of the basic non-linearintegral
equation of the Bethelattice, leading
to the samenon-power-hke
cntical behavior. The authors of therecent paper
il 9]
put forward thehypothesis
that such an exotic cntical behavior is the intrinsicfeature of the Anderson transition and should be
expected
for realphysical
systems inarbitrary spatial
dimension d~ 2. Some
physical
picture of the transitionadvocating
this point of viewwas
suggested.
On the other hand, a number ofphysical
arguments supporting theopposite
point of view was
given
in[17].
In the present paper we
complete
ourargumentation presented
in[17]
and put it onto aquantitative
basis. For this purpose, we denvegeneral
expressions for the distribution of one-point
Green functions m a framework of thesupersymmetric
forrnahsm. We would Iike to note thatinvestigation
of themesoscopic
fluctuations of one-point Green functionlin particular~
ofLDOS)
is ofspecial importance
because thisquantity lin
contrast to, e-g-,conductance)
is alocal one and its distribution can be defined not
only
for a finitesample
but remains nontrivialm 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 andtight-binding
mortel. We derive thegeneral expressions
for the distribution of the local Green function. A nice symmetry propertyrelating
the behavior of this distribution function atlarge
and small values of its argument follows from the obtained results. In section 3 we calculateexplicitly
the distribution function of the local Green function within the NSMapproach
in thesimplest
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 weapply
these results to the investigation of the Anderson transition.We show that the
non-power-like
critical behavior obtained inil1-13, 16, 17]
is an artifact of thepathological
space structure of the BL or of the EMAimitatmg
thisspatial
structure. Thesemodels
correspond effectively
to the case of infinitespatial
dimension which tums eut to be asingular
point in the case of Anderson localization. We argue thon for any finite d the critical behavior at themobility edge
is of thepower-law
type withd-dependent
criticalexponents, d = ce
playing
the rote of an Upper critical dimension. As d- ce some of the
exponents tend to zero or to
infinity matching
thenon-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 definedby
the HamiltonianÙ
=
£
p,a)
a, +£
t~~
a)
a~Il )
' <'J>
where the site energies p, or the
off-diagonal
matrix elements t,~ aresupposed
to be random variables. The mainabject
ofinvestigation
m this paper is a distribution of the local one-particle
Green functionsGR
=
(jÎlE+t~ -Ù)~'j j)
~~
G~
=
(jj(E-i~ -Éi-'j j).
Here
subscripts
R and A stand for the retarded and advanced Green functionrespectively
E is the
(Fermi)
energy and J~~ 0 is the level
broadening (an imaginary frequency).
In order to find this distribution we consider thefollowing
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 thedisorder-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 considerthroughout
the paper the case of broken lime reversai invanancecorresponding
to the unitary symmetry of the effective action.Physically
this consideration is relevant for the systemsubjected
to amagnetic
field. However ail formulae of the present section can beimmediately
rewntten with miner
changes
for theorthogonal
symmetry(unbroken
lime reversaiinvanance)
case as well.
According
to the supersymmetrymethod,
we introduce at any site i of the lattice a 4- component supervector ~P, =(R,
j, x, ,~
R,
~, x~
~)
with 2complex commuting (R)
and 2complex
Grassmannianlx
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 formn> 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 sitej,
the field variables m ail other sites t #j
can beintegrated
eut. This allows us to rewriteequation
(5)
in thefollowmg
way'~f, ~m-f
m "
q
d lfilR1
R )~lR? R2 )~
G1lfi)
,
16j
where the function
G(~P
is defined asG(~P~)
=Îfl
d4~~e~~l*1 (7)
,«~
We will call
GI
~P)
the order parameter function ; in context of the supervector formalism thisnotion was introduced in
[13].
Differentanalytical properties
of this function m locahzed andextended
phases
allow one to describe the locahzation transition as a spontaneous symmetrybreaking phenomenon.
Thisjustifies
the use of the term « order parameter »(see
Sect. 5 for amore detailed
picture).
In view of the invanance of the action
S(~P)
with respect to the transformations~P -T~P ; Te
U(111)
xU(1il ),
the functionG(4~)
isactually
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 beeasily integrated
eut and equation(6)
con be reduced to the form~~
~~
~ ~ ~
~~~~ ~~~~
~~ ~~
~é
R~~Î(RÎ
~~~
Having
at ourdisposai
ail moments uX't,,,~ we can restore the whole distribution of the local Green function(2).
Let us consider for this purpose the inverseFourier-Laplace
transform of the functionG(R(, R()
:G
(R(, R()
=
~
du
Î~
du e~"~~~ ~~~ ~~~~~~~~ w lu, v). (10)
-
ce 0
Substituting
equation(10)
mto equation(9)
andperforming
the integration overR,
andR~
we get'~t,
n< ~
d~ du
~l'
(l1)~oe Î~
(U +
lÎ (~
l v )"'
According
to the definition(3)
oflft
~,
this means that w(u,
v)
is thejoint probability
distribution of real and
imaginary
parts of the inverse Green functionsGj', Gj'
Gi'=u-iv; Gj'
=u+iv.(12)
Consequently,
the distribution function P(g,,
g~ of g, =Re
G~
=
u/(u~
+v~)
andg~ =
Im
G~
=
v/(u~
+v~)
isequal
toP(gj,g2)=
~
~~wl~~'~, ~~
~
(131
(~> +~2)
~'+ ~2 ~'+ ~2We now suppose that we can
perform
the derivation of the non-linear «-modelstarting
fromsome
microscopic
formulation. Thefollowing
situations are known when thisprocedure
isngorously justified
:ii)
N-orbitalWegner
model with N w states per site[3-5, 20]
;(ii)
weak disorder(metalhc)
limit[6, 10]1
(iii)
quasi ID models with alarge
number of transverse channels[21, 22]
or with along
range
hoppmg [23]
(iy)
a system of small metallicgranules [1il.
To find details of the denvation of the
graded
nonhnear«-model,
the reader isagain
referred to the literature[10, 20].
The brief sketch of theprocedure
is as follows :Iii
averagmg over the disorder mequation (4)
;(ii) decoupling
ofresulting quartic
terras m the actionby introducing
composite 4 x 4superrnatrix
variablesQi conjugated
to thedyadic product L'/~
4~,4~) L'/~ (the
so-called Hubbard-Stratonovichtransformation)
;(iii)
Gaussian integration over the supervectors ~P, and calculation of the remainingQ- integral by
the steepest descent method.As a
result,
the matricesQ,
are restricted to thesaddle-point
mamfold of the formQ
" r i ATLT~'
,
(14)
where r and A are real numbers, A ~ 0 and T is a certain set of transformation
forming
the coset spaceU(1, 1/2)/U Il 1)
xU(1 1).
It is convement to use a standardized set ofQ-matrices
:Q
=
ITLT~
',
so that" r +
AQ.
The expression(5)
for the correlation functions(3)
cannow 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 theresulting
nonlinear «-mortel :S
(~'
=
i
£
Str Q~ Q~ + i ar(p )
~£
StrLQI l16)
~
<,J>
and
(p)
is the averagedensity
of states defined below.In fuit
analogy
with equations(6), (7),
we can integrate eut m equationil 5)
ail variables Q~ with k #j
and define an order parameter function m terms of theQ-fields [12]
:F
joj)
=fl
dpjoi)
e~ ~ (QI j17j1#j
Then equation
(15)
is reduced to thefollowing
forrn~ri,
~, t
~
dpiQ
FiQ
d4~iR i Ri )f (Ri R~)m
xx exp
(14~ L'/~ (E
rAQ L'/~
4~il 8)
Calculation of theintegral
over 4~ inequation il 8)
can beeasily
done with use of the Wick theorem, and we gelJft
~ =
'~'
~
dp iQ i
F(Q i
xii 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 correlatorsKt,
~
it is easy to show that the
coefficient
m front of
Q
inequation (20)
is ar limes averagedensity
of states(p )
=
) (GA G~)
=
~~)
~.
(21)
"1
(E r)
+ AUsing (20)
andperformmg
asimple
transformation we may presentequation (19)
in thefollowmg
forrn~~
G~
« fG~
« m~~~~ ÎÎ
"(PI "(Pi
Î ii
k)ÎÎÎ~ k)!k!~ ~~ ~~~
~~~~ ~~~
~~~
~~~~ ~~'
~~~~We will use the standard
parametrization
ofQ-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 givenby
dp (Q)
"
~
dÀ
j
dÀ~ d4
j
d4~
da da *dfl dfl
*(24)
IAi À
2)
It can be shown
[12]
that m view of theU(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 followsimmediately
from(6), Ii 8)
:GI
m)
=
dp iQ i
FiQ i exP1-
4~L'J~IE
rAQ i L'/2
mj 126)
Let us now
shghtly
redefine the functionGI
~P)
;Gjm)
=e-1(~-'~*~L~ GolA'/~~P) 127)
so that
Go14~ )
=dp iQ )
FiQ e-'*'~"~
Q~'~~ *128)
Then, according
toequations (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 inequation (28)
in power series we gelm t
Go(R(, R()
=
£ ~q R( R("'lf)°( (30)
t,n<
~'
It is easy to see from
equations (29)
and(30)
thatGo(R(, R()
satisfies thefollowmg
hnear eqUat1°nGo(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 inequation (30)
we obtainGo(R(, R()
=
)dz
dz * Po
(z
exp(- iR(
z * +
tR(
z
(32)
lmz
~ 0
Here P
o(z)
m P
o
lu,
v is theprobabiiity
distribution of the real u andimagmary
vpans
of the norrnahzed Green function_G~-«
~
G~-«
~
"(PI
~~~~~ ~"(PI
~ ~~ ~~The relation
(31) implies
thefollowmg
symmetry property of he distribution functionPo(z):
Pol- z-'1= izi4Poiz). 1341
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 berepeated
withminer
changes
for theorthogonal
case as well. The symmetry property(34)
hasexactly
thesame
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
anexplicit
calculation of the distribotion functionPo(z ),
startingfrom
equations (32)
and(28)
of thepreceding
section. Our aim is to expressPo(z
in terms ofthe order parameter function
FIA,, À~). Taking
for the sake of convenience4~
=
(R,,
0~R~, 0)
with realR,,
R~ inequation (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 theparametnzation (23)
for the elements ofQ-matrix
andintegrating
over ailvariables except
À,,
À~, we getGo(R(, R()
=
~~' ~~~
F
(À,,
~
)
e~~'~~~ ~~~~ xÀ1 2
x
(2 Io(2
piRi R~)
ÀR( R( -1, (2
p,R, R~)
piR, R~(R(
+R( )) (36)
whereIo, Ii
are the modified Bessel functions. The distribution function Po
(z
can be obtainedby
mvertmg the transformation(32)
which is of Fourier type withrespect
to the variable y =R( R(
and ofLaplace
type with respect to x =R(
+R(
:Po(u,
v =) j~ dy ) ~
~ ~~ dxGo %, j
exp(iuy
+vx) (37)
"
ce
"1 -<ce
For this purpose, we should make an
analytical
continuation ofGo(R(, R()
to the whole region Re(R(
+R()
~ 0
(onginally
it is defined in the regionR(
~
0, R(
~ 0only).
This can be doneby
using the identitiesio(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 getj
oe 'C°
dÀdÀ~ <
+<ce~~, ,,,, ~,,
~°~~~~~
(2ar)~ -~~~ -ioe~ ~l~À2~~~'~~~~ <-ioe~~~
~ ~x À
j
(x~ y~
e~'~~~ ~~~~~~~~'-
p
lx
e~'~~(e~~~~~~~~~' lii (39)
2p
Performing consecutively integration
over x, y and p, we obtainj
dÀ, dÀ~
Po(u,
v =FIA
j,
À~)
x2 ar
Ai
À~~l~l[+Sl +i~Î-1>ùlijôi2vÀ-U~v~-1). 140)
Two short comments are
appropriate
here. Atfirst,
we observe that the « compact » variable À~plays
anauxiliary
rote in(40). Namely,
the distributionPo(u, v)
is determmedby
thefunction
Fo(À,)= ~~~
F(Àj,À~) (41)
4 " À>
À2
depending only
on the « non-compact »eigenvalue
,.
Secondly,
P (u~ v is determinedby
the value ofFo(À, )
and its first and second derivatives in thepoint
~'
~~/v~~ ÎÎ~~ Î~ ÎIrÎz~ImÎ~'Î
~~~~Therefore,
two variablesÀ,,
À~equally
introduced in a very formai way aseigenvalues
of«retarded-retarded»
land
«advanced-advanced» aswell)
blocks of thesupermatrix
Q (see Eq. (23)) play essentially
different rotes : À~ tums ont to be anauxiliary
variable andAi acquires
aphysical
meaning determinedby equation (42).
After substitution of
equation (41)
mtoequation (40)
the remainmgmtegration
overÀ,
can beexplicitly performed
due to the presence of the &function. After astraightforward, though quite lengthy calculation,
the result can beexpressed
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)
doessatisfy
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 ofunitary
symmetry. In the case oforthogonal
symmetry the calculations become much morecumbersome and we have not got a relation
analogous
toequation (43)
in amanageable
form.4. Distribution of local
density
of states.In two
preceding
sections weinvestigated
thejoint probabihty
distributionPo(u,
v of the real andimaginary
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,
vj44)
For the case of unitary symmetry we can substitute into equation
(44)
the distributionPo lu,
v calculated in the section 3lit
is more convenientactually
to use for this purpose theexpression (40)
rather thon the final form(43)).
Then after somealgebra
we get~
>/2
p (v
j
à' " dÀ,
Fo
IA,
~ ~
,
(45)
'
év2 Ù
1>~ + l
2L
Àj
2 v
where
Fo(À j)
is defined inequation (41).
The LDOS distribution function
P, Iv
can also be obtained in a morestraightforward
way,by
direct calculation of LDOS moments :~~~~
j21
jn~Î ~~
~
ii
ii'~'
)1
'~Ù~
~~~~For the unitary case
lf)°j~
isgiven 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 ofequation j48)
which contain differentpowers of
Qj~
andQ~j
vanish in view of the invanance ofF(Q), equation j25),
so thatj48)
is indeedequivalent
to equationj4?).
That allows one to restore the distribution functionPi lui
in thefollowing
form ;~
lIV) =
dJ1(Q)
F(Q)
àV
(1Q> 1Q33 +
Q'3
+ Q3>)j (49)
Using
now the parametnzation(23)
andperformmg
theintegration
over ail the variables exceptÀ,,
À~, wereproduce
the result(45).
The
procedure leading
to anexpression
for the LDOS distribution in the form(49)
can bestraightforwardly repeated
for theorthogonal
symmetry case. Thatgives
m fuit
analogy
with(49).
However, the actual calculation of theintegral (50)
is very cumbersome and we are not able to present the result m asimple
form,analogous
to(45).
Let us note in conclusion of this section that the LDOS distribution
(45)
possesses thefollowing
symmetry propertyP, Iv
'= v~ P
,
Iv1 151)
In the
asymptotical regions
of small v « andlarge
v w values ofLDOS,
it can be wntten inthe form :
P, iv)
~
,fi
v- 3/2j"
~)~~,~~ $ i~foiÀ ii,
v »
(52)
~/2
lÀ
v ÀP, lui >,fi
v~ ~/~
j~
~~)
~~~
~~ (ÀFO(À )),
v « (53),/~~
jÀ- Iv)
dÀ5. LDOS distribution near the Anderson transition.
The relations obtained above are of
general
nature and do notdepend
on aspatial
dimensionality.
Ail information about the distributions of localquantities
is contained in the order parameter function. In thesimplest
0 D andquasi
D cases this function can be foundexactly,
that allows one tostudy
the distribution of LDOS andeigenfunction
components for asmall
partiale [25
or a wire[24, 26].
In the present paper westudy implications
of the obtained relations for a system ofhigher
dimension in thevicinity
of the Anderson metal-insulatortransition. It has been known for a
long
timeil 5]
that the LDOS distribution function has a different behavior in the localized and extendedphases
of asystem. Namely,
m the delocalizedphase
the LDOS distribution has some finitelimiting
forrn when the extemal « level width»
J~ tends to zero. In contrast, in the localized
phase
the LDOS distribution issingular
in thislimit,
so thatkeeping
~ ~0 is necessary m order toregularize
thisexpression.
Inreference[13]
we found a one-to-onecorrespondence
between the symmetrybreaking
mechanism which govems the Anderson transition
(with
an order parameterbeing
a function m the intemalsuperspace)
and thisphysical description
of the localized and extendedphases.
This was
possible
due to relations of the type ofequations (10)
and(13)
whichprovide
anintimate connection between the behavior of the order parameter function in the internai superspace and the distribution of LDOS
reflecting
fluctuations ofeigenfunctions
in the usual coordinate space. Below we present theanalysis
of a cntical behavior near the Anderson transition point based on the same kind of relations. Infact,
we find it more convenient to workwithin the NSM
approach using
relation(45).
We would like to stress however that theanalogous
considerations can bestraightforwardly
carried out for thetight- 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 ofgeneral validity
for the disordered systems underconsideration.
We staff our
analysis by reminding
the reader of the spontaneous symmetrybreaking
description
of the localization transition in the framework of thesupersymmetric
formalismil1-13].
The first term in the nonlinear «-model action(16)
is invanant with respect to theglobal
U(1,
2)
transformationsQ,
-
TQI
T~ ' The second terra breaks this invariance down toU(111)
x
U(1il
). Onemight
therefore expect that in the limit ~ -0 the function F(Q)
definedby equation (17)
becomes Uil, 12)
invariant. Theonly
functionpossessing
such a property is a constant ;
furtherrnore~
it is easy to prove thatFIL
= l~ so that the
U(1, Ii 2)
invarianceimplies
thatF(Q)=1.
Infact,
it tums out that the condition F(Q)Î~
_o -
defines the localized
phase
of the system.However,
the convergence of thefunction
F(Q)
tounity
is non-uniforrn inQ.
Moreprecisely,
it can be shown that asJ~ - 0
F
jQ )
>
Fi j2
arjp )
~j
) j541
with
Fi ix
~
Il i i 155)
Therefore,
when ~- 0 the
typical
scale of the variable Àj is J~~ ~, i e. is defined
by
the symmetrybreaking
parameter ~. In contrast~ in the delocalizedphase
the function FjQ)
=
F
jÀ
j~
À~)
remains a non-trivial function of Àj~ À~ in the hmit ~ =
0 and thus the abovementioned symmetry is
spontaneously
broken. However~ in thevicinity
of the transition point the function F becomespractically independent
of À~ F
IA
i>
À~
)
> F
dIA
),
Inaddition,
a
large
scale A(diverging
at the transitionpoint)
emerges which governs thetypical
values ofthe variable
Ai
This scaleplays
a roteanalogous
to that of ~ ~' in the localizedphase.
The main difference is that ~ ' is determinedby
the symmetrybreaking
terra in theaction,
and the appearance of A is a consequence of the spontaneousbreaking
of symmetry. The described mechanismexplams
the use of the terni « order parameter function »conceming
F(Q),
The similarpicture
of the localization transition was found in[13]
for the case oftight-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
theaction
(4)
isU(1, 112)-invanant
at ~=
0 ; ~ ~0 breaks this mvanance down. For the
function
G(x, y)
such an mvanance meansbeing independent
of x. The localizedphase
isagain
thephase
where the invanance is notspontaneously
broken. This means that as~ - 0 G
lx, y)
tends to a function which does notdepend
on x. This convergence is notuniform m x; in
fact, G(x, y)=Gt(i~x, y)
when ~ -0. In the delocalizedphase
thedependence
ofG(x, y)
on x remains in the limit i~=
0. However, in the
vicinity
of thetransition
point
thisdependence persists only
in a region oflarge
values of x. Thecorresponding
scale A in the space of the variable xdiverges
at themobility edge. Therefore,
the variable xplays
a rotecompletely analogous
to that of the « non~compact »eigenvalue À,.
We now
proceed
in thefollowing
way. We shall substitute the order parameter function obtained for the NSM on the Bethe latticeil1, 12]
intoequation (45)
andsubsequently analyze
the
corresponding
distributionPi (v
). We demonstrate thatalthough 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. Guidedby
aphysical reasoning,
we find the correct behavior ofP, Iv
and observe how itmodifies, according
to equations(45), (52), (53 ),
the behavior of F(À,,
À~).
This leads to adrastic
change
in the critical behavior at themobihty edge.
We start our
analysis
from the extended statephase.
As was shown inil1, 12],
close to thetransition
point
on the Bethe lattice the functionF(À,, À~)=F~(À,)
has thefollowmg
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 InA~
exp c In AÎÎ
w A(57)
with the
large
«symmetry-breaking»
scale Ah1 and some numencal constants a, b, c.Substituting equation (56)
intoequation (45)
we findP, (v
cc v~ ~/~ A~ '/~ln~
A(1
+ cos " ~~In A~~~~ ; A~ ' « v « A(58)
Furthermore, the function
P,
Iv isexponentially
small when either v w A or v « A',
in view of the relationsP, Iv
ccF~(v/2
,
v « A '
(59)
P, lui
ccF,j(1/2 vi,
v w A(60)
and the
corresponding
asymptotic behavior(57)
of the functionFj(À
(we have omitted thepreexponential
factors which are of no importance for our consideration).According
to(58)
and(59), P,(v)
has a maximum in the regionv~A~'
Thequalitative
behavior ofP,
iv is shown infigure ('),
We stress that the normalizationintegral
ofP, iv
is dommatedby
the region vA~' (in
view of the v~ ~/~ decrease inP, lui
atlarger vi.
Therefore, notonly
the most
probable,
but alsotypical
values of v are of order ofA~'.
In contrast, the main contribution to ail moments of the distributionP, lu
comes from the region vA, yielding
~~"Î~~P,lv)dvccAq-,
,
q»1, j6j~
~~~ p/<p> ~
Fig.
l. Theshape
of the distribution function Pi (v) of the norrnalized local density of states vp/(p)
in a vicinity of trie Anderson transition point. Trie mostprobable
and typical valuev 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 ofP, iv )
is in fuit agreement with thepredictions
of thescalmg theory
for the multifractal behavior as d- ce
[28].
In thescaling theory,
thefollowing
cntical behavior of the
averaged
moments of wave functionsP~(E) (P~ being
the inverseparticipation ratio)
in both localized and delocalizedphase
can be found[29, 28]
P~(E
ccE~
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 themobility edge.
The cntical indices ar~,p~, x~ satisfy
thefollowing
relations :p~ =
du
(q 1) p~, x~
=ar~/v (64)
It was shown m
[28]
that ail x~ should tendsimultaneously
to zero:x~~1/d
whend
- ce.
Thus,
the exponentsp~,
which determineaccording
to equation(63)
the behavior of(')
Let us notice that the distribution functionPi
(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),