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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�
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. n° 2, 91190 Gif sur Yvette, France (Reçu le 9 août 1979, révisé le 31 octobre 1979, accepté le 5 novembre 1979)
Résumé.
2014Certaines 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.
2014Correlation 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
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
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
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
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
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)
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’
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..
-