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Short range correlation between elements of a long polymer in a good solvent

J. Des Cloizeaux

To cite this version:

J. Des Cloizeaux. Short range correlation between elements of a long polymer in a good solvent.

Journal de Physique, 1980, 41 (3), pp.223-238. �10.1051/jphys:01980004103022300�. �jpa-00209237�

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Short range correlation between elements of a long polymer in a good solvent

J. des Cloizeaux

C.E.A., DPh-Service de physique théorique, C.E.N. Saclay, B.P. 2, 91190 Gif sur Yvette, France (Reçu le 9 août 1979, révisé le 31 octobre 1979, accepté le 5 novembre 1979)

Résumé.

2014

Certaines propriétés de corrélation d’un polymère en bon solvant sont étudiées à l’aide de techniques

de renormalisation. La distribution de probabilité d’un vecteur r, joignant, dans un espace de dimension d, les extrémités d’un segment de polymère, formé de N maillons est une fonction Ps,N(r) où s est un indice qui se

réfère à des situations diverses. Cas s

=

0 : le segment coincide avec le polymère lui-même. Cas s

=

1 : le segment constitue l’une des extrémités d’un polymère infini. Cas s

=

2 : le segment est situé dans la partie centrale d’un

polymère infini. On montre que les distributions de probabilité obéissent à des lois d’échelle de la forme

que, pour x petit, fs(n) ~ x03B8s et que les indices 03B80, 03B81’ 03B82 sont donnés par la renormalisation de vertex simples.

Les développements de ces indices au deuxième ordre en 03B5

=

4 2014 d ont été calculés. Les résultats sont

Des estimations de ces indices pour d

=

3 donnent

Ces résultats montrent que la probabilité de contact entre les extrémités d’un segment formé de N maillons, appar- tenant à la partie centrale d’un polymère infini est proportionnelle à N-v(d+03B82)

=

N-2,18. Cette conclusion s’accorde

avec le fait prévu par l’auteur que, pour N ~ 1, les termes dominants de l’énergie E d’un polymère formé de N

monomères sont de la forme E

=

aN + b en bon solvant.

Abstract.

2014

Correlation properties of a long polymer in a good solvent are studied with the help of renormalization

techniques. The probability distribution of the vector r joining, in a space of dimension d, the end points of a polymer segment made of N links, is a function Ps,N(r), where s is an index referring to various situations. Case

s

=

0 : the segment coincides with the polymer itself. Case s

=

1 : the segment is at one extremity of an infinite polymer. Case s

=

2 : the segment is located in the central part of an infinite polymer. It is shown that the pro-

bability distributions obey scaling laws of the form Ps,N(r)

=

N-03BDd fs (r/N03BD), that, for small x, fs(x) ~ x03B8s and that

the indices 03B80, 03B81, 03B82 are given by the renormalization of simple vertices. The second order expansions of these

indices with respect to 03B5

=

4 2014 d have been calculated. The results are :

Estimations of these indices for d

=

3 give 03B80

=

0.273, 03B81

=

0.46, 03B82

=

0.71. These results show that the pro-

bability of contact of the end points of a segment made of N links, belonging to the central part of an infinite poly-

mer is proportional to N-03BD(d+03B82)~ N-2.18. This conclusion agrees with the fact, predicted by the author, that for N~ 1, the dominant terms of the energy E of a polymer made of N monomers, are of the form E

=

aN + b,

in a good solvent.

Classification

Physics Abstracts

05.40

-

61.40K - 64.90

-

82.70

1. Introduction.

-

A polymer can be considered

as a chain of monomers and, in a polymer solution,

the position of the monomers belonging to the same polymer or to different polymers, are strongly corre-

lated. The properties of the polymer solution depend

very much on these correlations. Obviously, it is difficult to make good theories and to interpret the

results correctly without knowing precisely the nature

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphys:01980004103022300

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of the short range correlations. Thus, this matter deserves investigation.

In the present article, we study only very dilute solutions i.e. isolated polymers and we show that

even, in this simple case, correct answers cannot be

given by simple arguments. In fact, the short range correlations depend, in a crucial way, on renorma-

lization properties of the polymer. Our aim here is to study these properties.

A polymer may be considered as a chain made of

No links. The position of an articulation point on

such a chain is given by a vector rj, where j is an integer ( j

=

1, ..., No ; see Fig. 1). It is assumed that

the chain with excluded volume belongs to a space of dimension d.

Fig. 1.

-

The chain has No links with No = N2 + N + Nl.

We want to know how the points A and B are correlated.

We are interested in the probability distribution of the vector r joining two points belonging to the chain.

Assuming that

we define this probability distribution (see Fig. 1), by setting :

In a preceding article [1], the author has studied the

properties of the probability distribution Po,N(r) of a

chain made of N links

For large values of N, this function is given by a scaling law

and it has been shown that for small values of x, the function fo(x) behaves as a power of x

where 00 is a critical index.

The index 00 can be expressed in terms of the

current critical indices y and v

These indices depend on d, and, for, d

=

3, we have [2]

In the present article, we shall generalize these results by considering other types of correlations (see Fig. 2).

The most fundamental ones are given by the following probability distributions

Fig. 2.

-

Correlations of various type (0, 1, 2).

It will be shown that the probabilities distributions

Pj,N(r), where s

=

0, 1, 2, have similar properties.

For large N, they obey scaling laws

For small x, we shall find that

and the expansions of the indices 60, 81, 82 in terms

of 8

=

4 - d > 0, will be given. In this way, we can also find the dependence of the probability of contact

of two monomers, in terms of their monomeric distance N along the chain (for N > 1).

°

In section 2, after introducing a convenient Lagran- gian theory of polymers, we express the distribution

probabilities in terms of Green’s functions. Principles

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of renormalization theory are recalled in section 3 and in the Appendix. The scaling properties of the

distribution probabilities are established in section 4.

The short range behaviour of the probability distri-

butions is examined in section 5. The most interesting

discussions are contained in sections 6 and 7 which deal with the determination and the calculation of the critical indices 03B63 and C’ 4 from which 81 and 03B82 can be

deduced. The results are summarized and commented in section 8.

2. Lagrangian formalism and polymer theory. -

The Euclidean field theory adapted to our problem

can be defined by a Lagrangian of the form

A cut-off is needed and the critical value for both fields is by definition a

=

b

=

ae.

We may assume in the beginning that n is an integer (n > 1). However, the diagrams will correspond to

the limit n ---> 0. More explicitly, this means that closed

solid lines will not appear in the diagrams [3, 4].

We note that, for n

=

0, if one type of field only (components of 9 or components of 03C8) appears in a

mean value, the other type of field does not play any role in the calculation of this quantity.

The fields will be represented by functions qJ j(x)

and qlj(y) or their Fourier transforms ffJ j(k) and W

I

In the following, we shall also use the simplified

notation

The following Green’s functions correspond to

the types of correlations which have been described in section 1.

The expansion of these functions can be calculated

by applying the usual rules and typical diagrams are represented on figure 3. We note that two different

Fig. 3.

-

Diagrams contributing to

components of 0, namely 03C81 and t/J2’ have been used

in order to eliminate all the diagrams containing closed

solid lines; in particular, the zero-momentum compo- nents 03C81 (0) and tfr 2(0) correspond to the free ends of the polymers.

As will be shown later, the denominators which appear in the definitions of G1(x, y) and G2(x, y)

have been introduced in order to insure the conver-

gence of these quantities in the limit b --+ ac.

The space dimension d is assumed to belong to

the range 2 d 4 and for a # ac, b =1= ac, one

subtraction only in the self energy is necessary to make all the current diagrams finite. Thus ac is the only current quantity which cannot be calculated

without introducing a cut-off.

As usual [4], we may express the Green’s functions in terms of (normalized) numbers of configurations

of polymers. Let Z(x, y; N2, N, Nl) be the number

of chains of No links (No

=

N2 + N + Nl) which

have two fixed points defined by the conditions rN2 = x, rN2+N = y.

The total number of chains of No links starting

from a fixed point (x) is

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and we have

where I is an arbitrary length.

(The product a,, 12 is dimensionless.) More precisely,

for large No, we expect the behaviour

The correspondence existing between the Green’s

functions and Z(x, y ; NI, N, N2) can be read on the diagrams. In this way, we find the relations

On the other hand, the probability distributions

Po,N(y - x) are directly related to Z(x, y, N2, N, Nl)

The definitions of P 1,N(Y - x) and P2,N(y - x) can

be simplified by remarking that

Thus, we obtain

In order to describe situations in which N, >> N

and N2 > N, we need to know the behaviour of the Green’s functions in regions where

L

-

Accordingly, we may perform in Eqs. (2.7) the following substitution

We find in this way, a relationship between the Green’s

functions and the distribution probabilities.

In the following, the notation 12 will mean that the

index may be 1 or 2.

Using this notation, we may write

The probabilities remain well defined when No - oo

and the integrals are convergent. Consequently, we

find that the Green’s functions remain also well defined when b - ac. This result is of course essential;

it shows that the definitions (2.3) of the Green’s functions are adequate. Still, we note that these definitions have no meaning for b

=

ac but only in

the limit b - ac.

However, we face a difficulty. We remark that in

the absence of any interaction and for 2 d 4,

the Green’s function

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is not uniformly convergent and that it is strictly divergent if y

=

x. Thus, it depends on an ultraviolet cut-off. On the other hand, the (normalized) func-

tion Z(x, y ; 0, N, 0) is well defined in the absence of any cut-off for small N. This anomaly can be under-

stood by considering the equation

where in the absence of interaction

We see that for y

=

x, the integral is divergent for

small N when d > 2. This property, which applies

also to GI(x, y) and G2(x, y), remains true when an

interaction is present and is the origin of the difficulty.

Still, the scaling laws can be applied without any

problem, when Eqs. (2.12) are replaced by the fol- lowing set of equations, which are always valid, in

the absence of any ultraviolet cut-off, when p is large enough

3. Renormalization of fields and insertions.

-

For

large N, the main characteristics of the probability

distributions depend fundamentally on the renorma-

lization properties of the associated field theory.

Here, we have to deal with two different zero compo- nent fields qJ j(x) and t/J,(X), and the known results of the one-field Lagrangian theory cannot be directly applied without discussion, but the reader, may refer to the basic concepts recalled in the Appendix.

3.1 NOTATION. -- We are interested in Green’s functions of the form

where Fj(x) is the value at point x of one component of 9 or 4/ and 01(y) the product of the values at y of several components of the fields T or 03C8.

The Green’s functions can be expanded in terms

of the interaction and we define connected Green’s functions as usual.

The renormalization properties of these functions (i.e. their behaviour in the critical domain) are directly given by those of the vertex functions. In

the following, the vertex corresponding to the one-

irreducible Green’s function

will be noted

.

Its Fourier transform will be

3.2 RENORMALIZATION.

-

We start from a situa- tion where a = b # c and we consider the other situations as perturbations of this initial state. We stay in the vicinity of the critical point.

In this way, we have only one relevant scaling length m-1 where m is defined by

A renormalization factor can be associated with each marginal composite field O and the renorma-

lization constant is a function of mgo 1/ E (See Appendix).

The dominant part of 0 can be renormalized by setting

where OR(X) is the renormalized composite field and zo(mgo 118) a renormalization factor which is deter- mined by renormalization conditions (See Appendix).

Thus for instance, we may set

and we may always define z2(mgo l/e) by the condition (See (A. 14) and the following discussion)

3.3 CRITICAL INDICES. - For small values of

mgo 1/e

where Co is the critical index associated with 0.

Thus, the indices corresponding to zi and Z2 are

given in terms of the current indices v, y and ti by

and, incidentally Eq. (A. 19) gives also

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Expansions of these indices with respect to E are known [6] and we have

For n

=

0 and E

=

1, a direct calculation made by

Le Guillou and Zinn-Justin [2] has given

4. Scaling properties of the probability distributions.

- The fact that for large N, the probability distri-

butions obey scaling laws is a simple consequence of the renormalization properties of the system.

Here, we have two fields qJ and 03C8. However, the fact that each of them has zero components leads to

significant simplifications. Thus when a

=

b, any

product of the form qJJ(x), qJf(x) or Tj(x) T,(x) is

renormalized exactly in the same way as the sum

Fig. 4.

-

Diagrams contributing to the renormalization of qJi(X) qJ/x) and [qJ2(X) + .p2(X)J. Diagram (a) does not contribute

to the renormalization of 9 1 (x) qJj(x). If n

=

0, diagram (b) does not

contribute either to the renormalization of [(p’(x) + .p2(X)J but

it does if n # 0.

This fact can be easily understood by looking at the diagrams displayed on figure 4. However, as was

shown by Amit and Goldschmidt [7], this property is not true when, in contradiction with the present situation, the number of components of’the fields do not vanish. Thus, for non vanishing values of (y - x)

and a = b i= ac, we may write according to Eqs. (2.3)

where z, and Z2 are the renormalization factors of the one-field theory for n

=

0. In the asymptotic limit, the renormalized Green’s functions GO,R(XI y)

and G12,R(X, y) depend only on x - y m.

Let us now consider the case a # ac, b --+ ac. This

situation can be obtained by adding to the symmetric

Lagrangian with a

=

b, a perturbation

where 0 x 1 and by taking the limit x -+ l.

Each term appearing as a numerator or a deno-

minator in the expressions giving G12(x, y) can be expanded with respect to the perturbation. This perturbation can be written as follows

As each insertion

of f ifJi.. introduces a factor m- 2,

we see immediately that each term of the expansion

behaves exactly like the first term.

Thus, for 0 x 1, Eq. (4.1) remains valid. On the other hand, as was shown previously a a ap P laP aP G12(X, Y) have finite limits when x - 1. Therefore, Eqs. (4 .1 )

can be considered as valid for a

=

a,,, b

=

a,,.

The renormalized Green’s functions can be written

as follows

Putting these expressions in (4.1) and considering

the asymptotic limit m - 0. We obtain

in the other hand, from Eqs. (3.4) and (3 . 5) we get

As go is fixed, we may now forget the dependence

with respect to go and we obtain

Thus, we obtain the scaling laws

or using Eqs. (3.6)

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Let us now return to Eqs. (2.11). The partition

function Z(N) and the distribution probabilities Ps,N(Y - x) (where s

=

0, 1, 2) can be deduced from

Go(x, y) and G12(x, y) by inverse Laplace transfor-

mations. Consequently, the fact that Go(x, y) and G12(X, y) obey scaling laws entails that Z(N) and Ps,N(Y - x) possess similar properties.

From a comparison between Eqs. (2.11) and (4.9),

we deduce the expected scaling laws valid for N > 1.

with s

5. Short range behaviour of the probability distri-

butions.

-

New divergences appear when y - x I

goes to zero. This fact is well known in renorma-

lization theory and can be related to the fact that the probability distributions vanish in this limit [1].

Thus, for small values of r, we may write

where 8S is an index which has to be determined. For small values of r as compared to NV, we need a cut- off and accordingly we have PN(0) N PN(l ) where 1

is a constant length.

This gives the dependence of the quantities P.1,N(o)

with respect to N

Let us now return to the definitions (2.12), (2.6) :

we obtain

These integrals are generally divergent and there-

fore meaningless. We have to use Eqs. (2.15) and, if p is large enough, these equations remain valid

when I y - x I -). 0. In a corresponding way, we may write

In the absence of interaction, these equations are meaningful for d

=

4 and near d = 4, if and only if p > 2, and this property remains true when inter- actions are present

Therefore, the indices 0. define also the dependence

of the derivatives of the Green’s functions with respect to (a - a,,). These functions are determined by the equalities

,

and the indices es can be calculated by studying their

behaviour in the frame of renormalization theory.

We consider the case a :A ac, b -- ar. As was done

in the preceding section, we reach this limit by adding

to the symmetric Lagrangian (with a

=

b), a pertur- bation

11

and taking the limit x ---> l.

Changing x amounts to introducing in the dia-

grams, insertions proportional to (a - ac) 03C82. These

insertions do not change the general properties of

the Green’s functions. On the other hand, any diffe- rentiation of Green’s functions with respect to «a »

amounts to an insertion of [cp2 + (1

-

x) cp2] in

these Green’s functions. All these insertions are

marginally divergent for d

=

4 and there is no mixing

of components of (p or 0. Thus, these insertions can

be renormalized exactly like cp2 in a q>4 theories.

We have also to consider the insertion of compo- site fields of the form (p2(X) 03C81(x) and

These fields may be split into parts which must be renormalized in a different way. It is clear that, only

one part will be relevant. Therefore, we may simply

set

and later which shall determine the relevant indices C’ 3

and (§ which correspond to z3 and z’ 4’

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Thus, starting from the definitions (2.3), we may write in a formal way

By differentiating with respect to a, we find

The canonical dimension of any function Gs(x, x)

is (d - 2). Thus, using the asymptotic form (3. 5),

we obtain

Forgetting now the dependence with respect to go and using Eq. (4.7), we obtain

A comparison of these equations with Eqs. (5. 5) gives

Finally, using the relations (3.6), we find the result.

which has a rather simple interpretation. We have

now to determine the relevant indices 03B63 and 03B64..

-

6. Determination and calculation of C’ 3 near d = 4.

-

The index 03B63 corresponds to the insertion of

The diagrams of type 1 which contain this insertion contain also p insertions of q>2 which result from differentiations with respect to a. We have seen in section 5, that to eliminate spurious divergencies, we

have to take p > 2, and we check that the zeroth order diagram corresponding to our problem is

convergent for p > 2 but divergent for p

=

0 or

p = 1 (see Fig. 5).

Fig. 5.

-

Correlations of type 1. The zeroth order diagram (a) with one q>2 insertion is divergent but the zeroth order diagram (b)

with two q>2 intersections is convergent.

Thus, the calculation of the scaling properties of

2013 6’i(x, P x) near the critical point amounts to cal-

laP t ) p

culating the critical index associated with the three-

leg vertex. The index C’ 3 can be given by the renor-

malization of the vertex

Different masses correspond to the fields T and 03C8.

However, it is possible to use the technique of

renormalization at the critical point [8]. A simpli-

fication occurs because, in this case, we need only

one field. The renormalization can be made at the symmetry point.

The four momenta kl, k2, k3, k4 of the symmetry

point are defined by the relations

The renormalization conditions at the critical

point can be written

I

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The index (§ is given by the renormalization of

The calculation can be made by using the method

which has been developed by Brezin, Le Guillou

and Zinn-Justin [8] for the calculation of more cur-

rent indices. The relevant diagrams, up to second order, are given on figure 6.

Fig. 6.

-

Diagrams used for the calculation of C3 and their sym- metry factors.

The function fl(u) which determines the fixed point

is [8]

and its zero is

The expansion of the renormalization constant (§(u)

which respect to u is given by

The critical index (§ is given by the equation

Thus, we get

Replacing ’1 by its expansion (see Eq. (3.8), we

obtain

7. Determination and calculation Of C4 near d

=

4.

-

The index (4 corresponds to the insertion of

The diagrams of type 2 which contain this insertion contain also p insertions

of cp2. In this case, the

zeroth order diagram is convergent for p > 2 but divergent for p = 0 or p

=

1 (see Fig. 7).

Fig. 7.

-

Correlations of type 2. The zeroth order diagram (a) with one q>2 insertion is divergent but the zeroth order diagram (b)

with two q>2 insertions is convergent.

Thus the calculation of the scaling properties of

near the critical point amounts to the calculation of the critical index associated with a four-leg vertex.

This vertex is obtained by opening the closed line in

the diagrams of type 2. More precisely, in a vertex

of type 2, the contribution of the four-leg vertex

can be isolated by removing the smaller irreducible

subdiagrams containing the cp2 insertions (see Fig. 8).

The index C’ 4 corresponds to the renormalization of the vertex

Fig. 8.

-

By removing the irreductible subdiagrams containing

the qJ2 insertion, we extract from a diagram (a) of type 2, the contri-

bution of the four-leg vertex (b).

°

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and we remark that again, we may use the technique

of renormalization at the critical point in the frame

of the one-field Lagrangian theory.

Thus, the index C’ 4 is given by the renormalization of

where kl, k2, k3, k4 obey Eq. (6. 1).

At this point, the reader should remember that the renormalization of a four-leg insertion is not a

trivial matter because each composite operator is

coupled through the renormalization process to all operators which have, for d

=

4, an equal or smaller

canonical dimension [5]. Thus, as was shown by Brezin, De Dominicis and Zinn-Justin [9] at the

critical point, near d

=

4, there is a coupling between

the composite operators [10]

Here, we have also a four-leg insertion which produces

similar effects. This means that, it is also coupled

with the operators g-’ OvCP OvCP, j1-B al92 and P2 -, cp2.

However, this fact does not play any role here as

will be explained now. The operator mixing is related

to the fact that divergent subdiagrams, after regu- larization by means of a cut-off, can play the role of

an insertion. Here, this situation cannot occur, because fundamentally we are interested only in the

calculation of

-

ap G2(X, x) and that the insertions laP

of cp2, in the closed loop of the diagrams of type 2,

remove the divergences.

As an illustration of this fact, we may examine the effect which would result from the coupling of

our four-leg vertex and of a composite operator of the form M2-, 92.

The critical index associated with ¡.,t2-B cp2 is

If, in Eq. (5.12), we replace (’ by 03B64a, we obtain the

contribution

This means that G1(x, x) contains a finite constant which results from the divergence of the diagrams

of type 2 when p = 0. Thus, concerning this contri-

bution, Eq. (7.2) should read

In a similar way, the renormalization of 0292 cor- responds to the index

C’4b = 8 + C2 = 4 - d + C2 - (7.4)

Like C’,, and for similar reasons, this index does not correspond to any interesting contribution, and

actually, here, it does not correspond to any contri- bution

at all, because a zero momentum insertion

of a2p2 always vanishes.

Brezin, De Dominicis and Zinn-Justin [9] have

shown the existence of another index

where m is the index which determines the behaviour of corrections to scaling [11]

However, this index can be forgotten because is not

dominant, which means that, for n

=

0, and (at least) small values of s, we have

as will be checked below.

The vertex

can be renormalized, by using the method described

in the preceding section. The relevant diagrams up to second order are given on figure 9.

Fig. 9.

-

Diagrams used for the calculation of (§ and their sym- metry factors.

The expansion of the renormalization constant with respect to u is given by

The critical index C’ 4 is given by

Thus, we get

(12)

Replacing ’1 by its expansion (see Eq. (3.8)), we

obtain

For n

=

0 and small s, we verify the inequality C’ 4 C’ 4c*

Thus C’ 4 is dominant.

8. Summary, comments and conclusion. - The results can be summarized as follows. For large N, the probability distributions P,,,N(r) with- s

=

0, 1, 2

obey scaling laws

For small values of x

and the corresponding contact probabilities are given by

The critical indices 80, 81 and 02 are given in terms

of an anomalous dimensions of fields (see Eq. (5.14))

and the indices (1’ 03B62,03B63,03B64 have the following expansions with respect to s

=

4 - d (see Eqs. (3 . 8), (6.8) and (7.10))

Thus we obtain

For e

=

1, a precise value of 00 can be obtained by using the values of C, and’ calculated by Le Guillou

and Zinn-Justin [2] (see Eqs. (3.9)). The result is

On the other hand, the values of 01 and 03B82 for s

=

1

can be roughly estimated by starting from the pre-

ceding expansions. We know that the series repre-

senting the critical indices are divergent; Brezin,

Le Guillou and Zinn-Justin [12] have shown indeed that these series can be written

where

(a, b, c are constants).

Therefore, the inverse Borel transforms of these series are convergent for small e, and it not unrea-

sonable to represent them by Pade approximants.

Consequently a reasonable approximation of an

index 0 given by the series

can be obtained by writing the series in the form

The numerical results are

(the errors in 81 and 02 have been obtained by com- paring several approximations).

More precise determinations of 81 and 03B82 are possible but require more work.

We note that for small values of B, the indices

03B80, 01, 02 are nearly proportional to the numbers l, 2, 4.

Such a result could be expected. When two points belonging to a chain are brought near to each other, they drag with them a train of other points and the

trains attached to the points under consideration

repel each other. If the point is one end of the chain,

it has a single train ; if it is taken inside the chain,

it has a double train (see Fig. 10). Thus, we may guess that the repulsion produced by a double train is about twice as large as the repulsion produced by

a simple train. However, this result is not valid when the repulsion is strong.

Fig. 10.

-

Points on a chain and their simple or double trains.

(13)

The preceding results give also the probability of

contact between two points of the chain. If the points

are inside the chain this probability is

where B 2 is a constant.

This expression can be used to determine the dependence of the mean energy E of a chain with respect to N when N - oo. The average number of contact C between elements of a chain can be roughly

estimated by writing

on the other hand, for small e

This seems to indicate that for d 4, we have

Indeed, for d

=

3, our evaluations give

This shows that, in Eq. (8.13), the sums with respect

to n are convergent, when N - oo. Consequently,

for large N, we may write

As the interaction energy of a chain is proportional

to e, we see that for large N, the total energy E is

given by an expression of the form

One might argue that the effects of the end points

have not been properly taken into account but a

more detailed discussion would not modify our

conclusion.

This result agrees completely with previous inves- tigations of the author on the same subject [13]. The

fact that no Flory term appears in the expression

of the energy is therefore confirmed.

Thus, the existence of the indices 00, 0, and 03B82

appears as very fundamental and it would be inte-

resting to study the effect of the correlations defined

by these indices, on the properties of dilute or semi-

dilute solutions. In fact, any description of these

solutions which would ignore these correlations cannot be very realistic.

Apparently, the indices 03B81 and 02 are not directly

related to the current indices v and y. This fact is

surprising; it shows, at least, that the notion of contact in a polymer solution is more subtle than

expected.

At present time, there is no experimental evidence

of the existence of the indices 00, 01 and 03B82 but we

may guess that the experimental importance of these

indices will be recognized, if experiments are made

to determine the detailed structure of the polymer

solutions.

Acknowledgments.

-

The author has been sti- mulated by discussions with M. Bergere, E. Brezin

and J. Zinn-Justin.

APPENDIX

We study the renormalization of the vertices and of the Green’s functions associated with the Lagran- gian

The Lagrangian is regularized by a cut-off.

1. Divergences of the diagrams.

-

The vertex func-

tions which are considered here represent physical quantities. They are always finite because there is

always a natural cut-off and because we never reach

exactly the critical point. Still, their properties depend

on the ultraviolet divergences which appear when the cut-off disappears and on the infrared divergences

which occur when a or b goes to ac.

In momentum space, the superficial divergence of

a p-leg diagram of order s contributing to a vertex f(...) is (d = space dimension)

where 60 is the degree of the composite field. If 0 is the product of f field components and t momenta, its degree is

and therefore

(an insertion of 9’ or f/l2 corresponds to 62, an inser-

tion of q>f/l2 to b3, and so on ...). If 6 a 0, the diagram

(14)

is ultraviolet divergent ; if 6 0, it is infrared diver- gent.

The value d

=

4 is marginal and especially impor-

tant ; in this case, we have

First, let us consider the diagrams which have

ultraviolet divergences (6 a 0). We verify easily that

for 4 d 2, there is only one divergent vertex (p

=

2, q = 0) which may play the role of an insertion

in diagrams. This divergence can be eliminated by

one subtraction i.e. compensated by a counterterm which is contained in ac. However, diagrams with

external insertions may remain ultraviolet divergent.

New divergences also appear because the Fourier transforms, in the ordinary space, of the Green’s functions of the momentum space, do not always

exist. Such divergences can be eliminated when needed, either by subtraction or by differentiation with respect to a>> (see for instance Eqs. (2.15)).

Infrared divergences, on the contrary occur when 6 5 0. Thus if we were applying the usual renorma- lizability criterion to the infrared divergences, we

would say that for 4 > d > 2, the theory is unrenor-

malizable because, in diagrams of high orders, diver-

gences of higher and higher order occur. However, it is believed that these divergences add up to form

simple divergences characterized by critical indices.

The fundamentally divergent part, in the infrared region, appear at d

=

4, when the theory is just

renormalizable.

Thus, let us consider for d = 4 a vertex with p-legs, S2 two-leg vertex insertions, S3 three-leg vertex

insertions and S, four-leg vertex insertions. The cor-

responding 6 is

We find 6

=

0, for (p

=

2, S2

=

l, S3 S4

=

0) for ( p

=

3, S3

=

1,82

=

S4

=

0)andfbr(/? = 4,64

=

1, S2 S3

=

0). This is the hallmark of new diver- gences which imply the necessity of renormalizing

the vertices of order 2, 3 and 4 for d 4.

2. Renormalization conditions and renormalization factors.

-

We start by assuming that a

=

b and we

stay in the vicinity of the critical point. In this way,

we have only one scaling length and infrared diver- gences occur at zero momentum when a

=

b -+ ac.

In the classical texts on renormalization [5, 6], it is

shown that each diagram can be made convergent by

subtractions which are equivalent to the introduction of counterterms in the Lagrangian.

In statistical mechanics, a slightly different point

of view must be adopted. We are not allowed to

introduce real counterterms in the Lagrangian, we

can only consider parts of the initial Lagrangian as

counterterms. On the other hand, the bare Green’s functions are the functions of physical interest and the diagrams are always convergent in the infrared and in the ultraviolet domain. Renormalization aims

only at insuring that all the parts of a diagram scale

in the same way. Actually, a part of a diagram can

be considered as a black box which is itself a sum of

subdiagrams. The sum of these subdiagrams can be

infrared divergent. In this case, the dependence of the

black box with respect to its external momenta is anomalous and is not given by the canonical dimen- sion. This effect is corrected by renormalization of all the diagrams and subdiagrams. As a consequence the

scaling properties of the renormalized quantities are always given by their canonical dimensions.

The scale is defined by a mass m which is the inverse of a correlation length and which is small with respect

to gå/e (where E = 4 - d). This mass is defined by the equation

The only dimensionless parameter is (a - a.) gü2/£

and the approach to the critical point depends on it.

The dimensionless quantity mgo ’/’is a function of this parameter, and when a = b - ac, then m - 0.

The renormalization constants are functions of mgü 1/£. To find the physical properties of the system

at the critical point, we have only to determine the

asymptotic behaviour of these constants when m - 0.

A renormalization factor can be associated with each

marginal composite field. A composite field 0 is marginal, if the vertices containing 0 and possessing

the same external structure as 0, at zero momentum, have a superficial divergence 6 which vanishes for d = 4.

The dominant part of 0 can be renormalized by setting

when OR(x) is the renormalized composite field and zo(mg-’I’) a renormalization factor which is deter- mined by renormalization conditions.

For instance, we write

Another renormalization constant must be intro- duced for the renormalization of 6 simple external legs. In a symbolic way, we may write

The constant zi can be considered as the renorma-

lization constant of qJ j(x) and this interpretation looks

(15)

obvious if instead of renormalizing vertex functions,

we try to renormalize one-irreducible Greens’ func- tions. Thus, me may write

The renormalization constants are determined by introducing renormalization conditions. Thus z, is determined by setting

Simultaneously, we may write

where u is a dimensionless quantity which has a

finite limit u* at the critical point. The constant z2

can be determined by the condition

where c

=

constant but we may also set

This other definition of z2 can be justified as follows.

An insertion

of f (P 2 in a Green’s functions G is

equivalent to a derivative with respect to « a » and we may write

or in a symbolic way

Let us introduce new renormalized Green’s functions.

As f (P has the same canonical dimension as m - 2,

we may write

From Eqs. (A. 15) and (A. 16), we get

on the other hand, the renormalization equation gives

Thus, combining the preceding equations, we find

that z2 N m2/(a - ac) and this result shows that z2

can be defined by Eq. (A. 14).

It is also easy to show that z 1 (mgo l/f) is related to

z3(mgo lIt) by the relation

but this result is not used here.

3. Renormalization of insertions.

-

Renormalizing

the insertion of composite fields is not always simple

because an insertion may create new divergent sub- diagrams which have also to be renormalized. A

composite field can be considered as made of several parts which must be renormalized in different ways and which are characterized by different critical indices. The details can be understood by examining

the renormalization process.

Following Bogoliubov [14], we define a subdia-

gram as a diagram made of a connected subset of

vertices of the original diagram, and of all the lines which join the vertices of this subset, in the original diagram. The dangerous diagrams are those which

are divergent for d

=

4. The most important ones are

the marginal diagrams which diverge for d

=

4 and

converge for d

=

4 - 0. The more divergent contri-

butions can generally be separated by subtraction and they are not always important from a physical point of view. The insertion of a composite field 0

may be dangerous at zero momentum or for small

momenta. It does not produce only a finite number of divergent diagrams for the calculation of which, a cut-off is needed; it creates also dangerous subdia-

grams, which appear as insertions in general dia-

grams ; this situation implies the necessity of a renor-

malization. An insertion 0 is renormalized by insert- ing simultaneously the composite field 0 and counter-

terms AO. The renormalized field can be written

and we note that renormalization is important for

low momentum insertions.

In the simplest case, the counterterms called by Bogoliubov generalized vertices have at low momen-

tum the same structure as 0.

In this case, at low momentum, we may write 0

as the sum of two parts

The second term in this sum plays the role of a coun-

terterm and, we determine z by the condition

Thus, we have

Inserting OR’ means inserting 0 and the counterterms which are necessary for preserving scaling. The inser-

tion of 0 in a diagram may also generate subdia-

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