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Geometrical properties of a Kuhnian polymer chain

Bertrand Duplantier

To cite this version:

Bertrand Duplantier. Geometrical properties of a Kuhnian polymer chain. Journal de Physique, 1986,

47 (10), pp.1633-1656. �10.1051/jphys:0198600470100163300�. �jpa-00210361�

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Geometrical properties of a Kuhnian polymer chain

B. Duplantier

Service de Physique Théorique, CEN Saclay, 91191 Gif sur Yvette Cedex, France (Requ le 9 janvier 1986, accept6 le 22 mai 1986)

Résumé.

2014

Nous calculons le facteur de forme H [q] , fonction génératrice des moments du rayon de giration,

et la fonction génératrice G[q] des moments de la distance bout à bout, par un développement au premier

ordre en g, second coefficient du viriel sans dimension, ou en 03B5, où 03B5

=

4 2014 d, d dimension d’espace. Ces

fonctions sont calculées dans la limite asymptotique kuhnienne de chaines très longues, en bon solvant. On en

déduit des propriétés géométriques universelles de la chaîne kuhnienne, comme les rayons de giration moyens d’ordre 2 n, RG[2n], et les puissances moyennes R [2n], de la distance bout à bout. Les rapports universels

RG[2n] /R [2n] , qui sont calculés, ont un comportement régulier dans leur développement en g ou 03B5, et ce,

également pour n grand. Par une approche directe, nous obtenons les coefficients du développement en g, ou

03B5, comme des fonctions de la dimension d. Nous obtenons ainsi un pur développement en 03B5, au premier ordre,

où les coefficients ont leur valeur à d

=

4. Nous obtenons aussi un meilleur développement, en g, les coefficients ont leur valeur à d

=

3, et où g prend sa valeur g* au point fixe kuhnien. La distribution de

probabilité de la distance interne entre deux points quelconques de la chaîne kuhnienne est reconsidérée, et

nous donnons sa forme universelle normalisée. En particulier, nous obtenons des formes très simples dans trois

cas limites, les deux points 1) forment un segment fini à l’intérieur d’une très longue chaîne ; 2) forment un segment fini à l’extrémité de cette même chaîne ; 3) sont les extrémités de la chaîne entière. Nous comparons le facteur de forme H[q] aux données expérimentales obtenues récemment par Noda et al. Dans la région de grands q, nous montrons qu’en effectuant des corrections du polydispersité, on obtient apparemment un bon accord entre théorie et expérience.

Abstract.

-

We calculate the form factor H[q], i.e. the generating function of the gyration radii, and the generating function G [q] of the end-to-end radii, to first order in the dimensionless second viral coefficient g,

or in 03B5

=

4 2014 d, d being the space dimension. These functions are calculated in the asymptotic limit of Kuhnian

chains, i.e. very long chains in a good solvent. They are used to determine universal geometrical properties of

the Kuhnian chain, like the average gyration radii RG[2n]of order 2 n and average 2 nth powers R [2n] of the end-to-end distance. The universal ratios RG[2n] /R [2n] are calculated and shown to have a regular g or 03B5- expansion, even for large n. In this approach, one obtains the coefficients of the g expansion as general

functions of the dimension d. This allows us to calculate the numerical values of the geometrical quantities

either by a pure 03B5-expansion to first order, setting d

=

4 in the coefficients, or, better, in the g-expansion by using the values of the coefficients at d

=

3 and the best known value of the Kuhnian fixed point g*. The probability distribution for the internal distances between any two points of the Kuhnian chain is reconsidered, and its normalized universal form is given. In particular we get very simple forms for three limiting cases : 1)

the two points form a finite segment inside a very long chain, or 2) a finite segment at the extremity of the very

long chain, or 3) are the extremities of the whole chain. We finally compare the form factor

H [q] to the experimental data obtained recently by Noda et al. It is shown that in the large q region, it is possible to take into account polydispersity effects and obtain apparently a good agreement between theory

and experiments.

1. Introduction.

Very long polymer chains in a good solvent have been the subject of numerous studies [1-5]. The

purpose of this article is to study more specifically

some geometrical properties of these long chains

with excluded volume, when the latter is fully developed. Such studies are naturally important for comparison with experiments and we shall actually

perform a comparison here. However, it is not the only motivation of this work. It is well known that very long polymer chains with fully developed exclu-

ded volume have universal geometrical properties,

which do not depend of the model employed for describing these chains. So, from a mathematical

point of view, these very long chains, said Kuhnian,

define a universal system which has very well-defi- ned properties, exactly as the famous Brownian

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphys:0198600470100163300

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chains define another (but simple) universality class.

The latter can be described by a continuous model

using the Wiener measure. In the same way,

Kuhnian continuous chains are associated with the continuous model of S. F. Edwards [1] described by

the probability density

Here r (s) is the configuration of the chain in d

dimensional space, s is the absissa (0 -- s -- S) along the chain and S is the Brownian unperturbed

« area » of the chain, such that

where °R2 is the Brownian end-to-end metln square distance, calculated from the weight (1.1) when

b=0.

b is the excluded volume parameter, b -- 0 for the

model to be defined. For b = 0, we recover a

Brownian chain. However for b > 0, in the limit S -o oo , the properties of the Kuhnian chain are

entirely different, and belong to a different universa-

lity class.

In principle, all these Kuhnian properties depend only on the space dimension d, and all the associated function giving quantities like the form factor, the probability densities, etc., exist somewhere in the mathematical space as functions of dimension d.

They are not easily accessible, however, and the

exact theoretical device which we use is the Wilson

E-expansion, where d = 4 - E. Indeed for d > 4,

one knows that the excluded volume effects are

irrelevant for polymer chains. Then the universality

class of the Kuhnian chains coincide with that of the Brownian chains. For d , 4, on the contrary, the Kuhnian chains are entirely different objects. Instead

of using the « bare » Brownian area S of the

underlying continuous model (1.1), one considers

the physical size X of the Kuhnian chain defined by [4]

in terms of the Kuhnian mean squared end-to-end

distance R2, when the excluded volume effects are

fully developed. Then all physical quantities like the scattering functions, the average distances, the geo- metrical probability distributions, are finite functions depending only on their natural variables, on the

size X, and on the dimension d. They do not depend

anymore on the two-body interaction b of the Edwards model (1.1), or any microscopic details and

it is in this sense that the Kuhnian chains are

universal. It is the purpose of this article to illustrate this interesting fact. Following a previous study [6],

we give various geometrical results written in this universal formalism, i. e. in terms of X and of d, or E.

We must also remark that the continuous model

(1.1) requires, to be defined, the use of a regulariza-

tion. This is actually true for d -- 2. One can use a

cut-off so, which is the minimal area between any

two interaction points along a single chain. However,

one may also use the dimensional regularization

which amounts to continue analytically the quantities

calculated for general d. For d 2, the integrals appearing in the perturbation expansion of the

model (1.1) are convergent. Then one can define

their analytical continuation in dimension d for d > 2 and toward d = 4. In this work that is the way

we calculate all partition functions, when a regulari-

zation is needed.

In reference [6], we obtained precise information about the swelling of the various parts of a isolated Kuhnian chain. Elsewhere [7], a simple renormalized calculation of the asymptotic form factor of a

Kuhnian chain has been made (see also [8]). Here

we shall describe in more details the geometrical properties of a Kuhnian chain. Some partial calcula-

tions have already been made by various authors.

The scattering structure function or form factor was

calculated by Witten and Schafer [9], who gave the first three terms of its small wave-vector expansion, using field theoretic methods. The same form factor

was also considered by Ohta et al. [10] and found to

be very close to its Debye approximation. We shall

here make a more systematic study of this form

factor, calculating all its moments, i.e. the average radii of gyration RJ2n] of order 2 n. We shall use

direct renormalization [4] (see also [11, 12]). We

shall make the calculation as direct and simple as possible.

As a result we shall obtain two different approxi-

mations : the first one will be the pure s-expansion,

with d = 4 - E, the second one will be closer to the

physical case d = 3. We shall compare our results to

recent experimental data of Noda’s group. We

especially study the case of large wave-vectors q and show that polydispersity corrections can be impor-

tant. We perform (tentatively) these corrections in detail and find apparently a good agreement with experiments in the high q region.

Following our geometrical inquiry, we shall also study systematically the generalization of the well known universal ratio [9, 4, 13] N = 6 R 2 IR 2 to

general powers, i.e.

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We also consider the probability distributions for the distances between any two points inside a

Kuhnian chain. We calculate exactly these normali-

zed probability distributions to first order in 8, in the

simplest way we can find. Thus, we refine the unnormalized preliminary results of Oono and Ohta

[14], and for the probability distributions of the end- to-end distance, we recover a result of reference

[15]. In some special geometrical cases, following

the ideas used in our previous work [6], we find very

simple universal probability laws. This apply to a segment inside a very long Kuhnian chain, or located

at the extremity of such a chain.

The summary is as follows :

In section 2, we calculate in detail the renormali- zed form factor H [ q] to first order in e or 9. In section 3, we perform the systematic series expansion

of this form factor, to all orders in powers of the

wave vector. This is applied in § 4 to the calculation of all the moments RJ2n] of the Kuhnian chain.

Section 5 deals with the evaluation of the set of universal ratios N n. The probability distributions in direct space are calculated in section 6. The compari-

son with experimental results for the form factor is

performed in the last section 7. A comparison is also

made with a result of numerical simulations. Appen-

dix A deals with the direct renormalization of

H[q]. Appendix B gives the calculation of the

polydispersity corrections required in the comparison

with experimental data.

2. The form factor N[q]

We shall consider the generating function [6] :

for an isolated polymer chain. The form factor is then defined by

where f ( q ; S, s’, s" ) is the partition function of a

continuous polymer chain, with two insertions of

wave vectors q and - q at points s’ and s" along the

chain. It is dimensionally regularized. The denomi-

nator of (2.3) is a convenient representation of the partition function of a single chain !E ( S, b, s ) :

The diagrams contributing, at first order in the interaction parameter b, to 9 (q; S, s’, s") are represented in figure 1. The resulting contribution to

H[q] (2.2) reads, after some algebra:

where

The quantity z is thus the well known Zimm-Yama- kawa dimensionless interaction parameter. The func-

tion Ho ( y ) is the Debye function

Fig. 1.

-

The diagrams contributing to l2’ ( q ; S, s’, s" ) ,

to first order in b.

The functions

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correspond respectively to the diagrams 1, 2, 3 of figure 1. Incidentally, we note that the contributions of

diagrams 4, 4’ identically cancel in the ratio (2.3).

When the space dimension d approachs d

=

4, some diagrams diverge. In the expansion (2.4) of H[q]

it is easy to see that only 7B diverges corresponding naturally to the only diagram of figure 1, which really

contributes to H and has no insertion inside the interaction loop. The renormalization of expression (2.4) (2.7) is extremely simple [6, 7]. We eliminate y

=

q2 S/2 in favour of the physical quantity x

where X is the actual size (1.3) of the swollen Kuhnian chain.

One has

where the swelling factor f£ 0 ( z) reads [6] :

for d = 4 - e.

Eliminating y in favour of x (2.8) in (2.4) and expanding to first order in z, we find the renormalized

quantity

Now this expression is finite when E

=

4 - d goes to zero. For seing this, one has to regroup various terms of

(2.10). We do this in Appendix B, for any dimension d. Then, using previous results [7, 4] it is possible to

write

-

where 9 is the dimensionless second virial coefficient (in scaling form) [4]

where Z ( S, S, b, e) is the two-chain connected partition function, and f (S, b, e) , the partition function

of a single chain (both dimensionally regularized). Moreover, in the Kuhnian limit z - oo , we know that 9 reaches a fixed point value

In the following 9 will have this meaning of the Kuhnian fixed point. The result is the renormalized

expression of the form factor H[q] (2.10)

where

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I2d, 13d are the same as in the original expression (2.10). We note that this renormalized expression,

valid in first order in 9, yields an approximate expression of H for any d. One can take the limit d -+ 4 in the factor of 9, but one may also set d = 3

directly in (2.12), taking for 9 the best known

approximation [4]

In this respect, our result differs from previous

studies [10] where only the pure E-expansion has

been considered. As we shall see later, this approach

makes the agreement with experiments better. For

large values of x = q2 X2/2 the asymptotic behaviour

of H[ q] has been evaluated in reference [7] (see

also [8]). We found

where v is the usual critical index governing the size

of the Kuhnian chain

and where hoo reads :

C being Euler’s constant, C = 0.577... Naturally,

this behaviour can be obtained from equations (2.12)-(2.16) in the limit d

=

4. In the same limit d

=

4, the results of references [9, 10] must agree with our expressions (2.12)-(2.16). They are not

written in terms of the same variables and the

analytical form is not the same. However, we have

checked the agreement to first orders in the series

expansions, correcting a statement made in reference

[10] : the results agree also well with the order

x2 expansion of H[q] given by Witten and Schafer in reference [9].

3. Series expansions.

The integral expression (2.12) of H ( x ) cannot be given a much more useful form in terms of known functions. It is however suitable for numerical inte-

gration and comparison with experimental results (see Sect. 7). In order to obtain another piece of information, we shall perform here the series expan- sion of H ( x ) , and obtain all its moments, that is, all

the radii of gyration of the Kuhnian polymer chain.

Performing the series expansion in powers of x of

H (x ) require careful and systematic calculations.

First of all, we have trivially for the Debye function Ho (x)

We have found for the I, J functions :

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Again, we want to stress the fact that these functions are perfectly finite when d = 4, as are their series

expansions.

,

Inserting these results into the general expression of H[q] (2.12), we find, to first order in g :

where

and

where Ad ( n) has the form

and where Sd ( n ) is defined by

Actually Sd ( n ) can be calculated exactly. We find

For d = 3, this gives, after some calculations

The limit of (3.10) for d -+ 4, apparently singular, takes, as it must, a finite value given by [6] :.

where T (z) - d ln T z is the usual Eulerian 1/I’-function, For d = 4, the expression of Ad ( n ) simplifies and we find, after some calculations, the simple result

where Sd = 4 ( n ) is given by equation (3.11b).

We have also evaluated the first A’( n ) coefficients for general d and n = 1, 2, 3. We find successively,

after some arithmetics :

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For the specific case d = 4 (which can also be obtained from equation (3.12)), we find

For d = 3, equation (3.13) gives

These figures clearly show the difference between an approximation using coefficients taken at d = 3 and a pure s-expansion, which uses the d = 4 coefficients.

We may compare now our results to previous calculations. Inserting the values (3.14) for

d = 4 into the series (3.6) of H, and using the Kuhnian fixed point value (2.11) of 9, i.e. 9* = g + ... , 0 we find

the e-expansion of H ( x ) near the origin x = 0 :

The terms up to order x2 have been calculated in different notations by Witten and Schafer [9] (see also [10]),

and agree with ours.

°

As already mentioned, our results are more flexible since we have at our disposal a dependence upon the dimension d, which will permit us to obtain approximate values better than the first order E-expansion.

We are now in position for calculating all the radii of gyration.

4. Radii of gyration.

Owing to the definition (2.2) of the form factor H[q], it is clear that it yields the following expansion in

powers of q2:

a2n is the angular average, in d dimensional space, of the 2 nth power of the cosine of the azimuthal angle 8 :

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where nd represents the angular variables in d dimensions. Using the identities

dil d = dil d - 1 (sin 8) d - 2 d 8, 0-- 0-- iT, and

where Sd is the area of the unit sphere in d dimension = 2 1T d/2 , lt ’ is not difficult to obtain the explicit F (d/2) ’

value :

Now we define the radius of gyration Rgn] of order n as

and we have identically

Identifying this expansion with the calculated series expansion (3.6), we find immediately the set of radii of

gyration :

Using the value (4.3) of a2n yields the explicit expressions of the radii of gyration

This gives the first order expression in 9 of the universal ratio, relating the 2 nth radius of gyration

RJ2n] to the 2 nth power X2n of the size X of the Kuhnian swollen chain.

The universal but trivial result for a Brownian chain is simply obtained by setting 9 = 0 and X2 = S

in (4.7). Thus the analytical coefficient depending on (n, d) in front of X2n is Brownian, and must not be e-expanded.

Let us now consider some particular results. For

n =1, we find, owing to equations (4.7) (3.13),

which recovers a known result [4]. The correspon-

ding e-expansion is, according to (2.11) :

a well known result [9]. If we use the expansion (4.8)

for d

=

3, and take the best value (2.17) 9* = 0.233,

we find

while the naive e-expansion (4.9) with - = 1 gives

The best known value is given by the e-expansion to

second order [13] :

which, for E = 1, yields N 1 == 1 - 0.0410. Thus we

see that the approximation with d = 3 in (4.8) gives

a slightly better result than the E-expansion in first order, if result (4.9bis) is taken as a reference.

However, we already see that the second order

corrections are important. We shall return to this later. The next moments RJ4], RJ6], are obtained

from (4.7). They have the following e-expansions

(see (3.14))

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The values obtained by retaining the d

=

3 values (3.15) of the A’ coefficients and the value 9* = 0.233, are

which are not very different from the previous ones for E = 1.

Let us consider now the general pure E-expansion of the radii R G E23. We have explicitely

where

It is interesting to study the behaviour of the E-correction for large values of n. For large n, one has the asymptotic behaviours

while C ( n j remains bounded. Thus we see that the s-corrections become very large when n increases. The behaviour or n large

is related to the behaviour of the probability distributions P ( r ) for large distances r between any two points

of the Kuhnian chain, which essentially behave as

where t, 0 -- t -- 1, is the fraction of the chain located between the two points, and 9 is a coefficient

ØI = 1 + 0 ( e ) . These probabilities will be calculated in the next sections. From the asymptotic behaviour (4.16) it is actually possible to reobtain the value (4.11) of RJ2n], together with the asymptotic expression (4.15) of A’(n). We shall not give here the details of this calculation.

5. The universal ratios

The preceding discussion leads us to an interesting point : since, for large n, large distances are dominant in

the average values RJ2n], one can imagine that these RJ2n] have essentially the same kind of behaviour as

the average end-to-end distances of order 2 n, defined as

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Until now, we have measured RJ2n] in terms of](2n = 2013! and we may anticipate that the unbounded

growing of Ad ( n ) (4.15), as a function of n, is directly related to this fact. So it is interesting to evaluate the

universal ratios N n

The factor ( n + 1 ) ( n + 2 ) is Gaussian and such that ’ N , =1 for Brownian chains, since for the latter :

The moments R [2n] can be found in a previous work [6] (see also [16]). Let us indicate here the main steps of a immediate direct calculation, which will be useful later. We consider the generating function

which has a series expansion similar to (4.1)

This generating function can be evaluated exactly in the same way as H[q] in the first sections. We write as

in equation (2.3)

and the diagrams contributing to !E ( q, S, o ) , at first order in the interaction b, are shown in figure 2, and

are naturally identical to the diagrams (0) and (1) of figure 1. We find immediately

Fig. 2.

-

The diagrams contributing to ( q, S, o ) , to

first order in b.

where, as before, y = q2 S/2, z = (2 IT )- d/2 bS2 - d/2. The renormalization of G [q] consists just in replacing y by y = !!’õ 1 (z) x (see (2.9)), where x = q 2X212, and by expanding to first order in z = 9 + ....

The result is extremely simple :

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where

Sd(n) is the same finite sum as in equations (3.8)-(3.11).

Identifying this expansion (5.7) with the expansion (5.4) of G [q] , yields the set of radii

Using (4.3) and (5.8), we find explicitely

in agreement with previous results [6].

We are now in position for calculating the universal ratios N,,. Using equation (4.6), we find immediately

Owing to the expressions (3.7) and (5.8) off ( n ) , [8’ ( n ), we find in first order in 9 :

where ABd (n) , Sd ( n ) are respectively given by equations (3.8) and (3.9). Considering now the pure e-

expansion of this ratio n we have to set d = 4 in Ad ( n ) , Sd ( n ) . Thus we may use the expression (4.12) of

these coefficients to get the universal values for the Kuhnian chain

where 9 -+ ’8 E + ..., and where

Now we check that for n = 1, C ( n =1 ) =1/12, as it should [9]. Moreover, for n large, C ( n ) is a well-

behaved function, as expected. Indeed, the consideration of the ratio N n (5.10) has suppressed from And ( n )

the term Sd ( n ) , which contained, according to equation (4.14), all the divergences of Ad(n) for large n.

In particular, for n - oo C ( n ) tends to the finite limit

which can be evaluated to yield [17]

So we can write the slightly academic, but interesting result for a Kuhnian chain

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°RJ2nJ

while for a Brownian chain the quantity ( n + 1) ( n + 2) o R [2n ] ls exactly equal to one, for any n. So we OR E2n]

have obtained, with equations (5.11)-(5.12)-(5.14), a complete set of universal ratios N n, which generalize

the well known universal ratio N 1 = 6 RÕ/R2.

6. Kuhnian probability densities.

We shall now calculate, in first order in 9, the

probability densities

of having the two points s’, s" along the chain, 0 , s’, s" , S, in a relative position r in the d-

dimensional space. In a previous work [6], we have

calculated directly the whole set of moments associa-

ted with the probability density (6.1). A « prelimi-

nary » form of the unnormalized probability density

itself has been given by Oono and Ohta [14], but

without any calculation. Moreover, it still contained

a unnecessary dependence on microscopic parame-

ters. Here we want to calculate briefly these probabi- lity densities by the same method as in the first

sections, and give them a form as simple and

universal as possible. In particular, we shall give the

three universal probability laws corresponding to the

whole chain [15], or to infinitesimal segments located

at the very extremity of the chain, or inside the chain.

We start with the generating function (2.1)

which gives by Fourier transform

h [q, s’, s"] can be easily calculated at first order in z, with the help of the identity (2.3) h [q, s’, s"] =

Z (q, Defining the useful reduced varia-

St’sit)

*

bles

with

we have [6] :

with

where Il, 12, 13 correspond respectively to the diagrams 1, 2, 3, of figure 1. Here again diagrams 4, 4’

immediately cancel.

The renormalization of h [q, s’, s"] is quite simple : we consider the Kuhnian size Y2 that the fraction of

chain would have, if it were free to swell :

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where z = (2 M ) - dl2 bS2 - d/2 and where ad = du ( 1- u ) 0 Ul-d/2 is given by (2.9). We express

h [q, s’, s"] in terms of the physical quantity

instead of y’ = q2 tS/2. One has

Eliminating y’ in equation (6.4) in favour of x, we find, to first order in z, the renormalized expression :

where Ii is the subtracted function

Now all the functions appearing in (b.11) are finite when d -+ 4. We also note that the quantity zt 2 - d/2 appearing in (b.11) is. exactly the Zimm-Yamakawa z-parameter of the fraction t of the chain. In the Kuhnian limit, z -+ oo , it is thus possible to write in (b.11)

where 9 is the second virial coefficient (in scaling form) and, as already seen,

in the Kuhnian limit.

We now perform the Fourier transformation of the renormalized expression (6.11), and we obtain after

some calculations

where 37 is the reduced variable

and where

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As already stressed, these functions have a finite limit when d -+ 4. We are here essentially interested in the pure E-expansion of the probability distributions, and thus we calculate the K functions in the limit d -+ 4. We find after some calculations :

where C is the Euler’s constant C

=

0.577...,

where

and finally

where

Thus our final result is, up to first order in 9 :

where

and where the Kuhnian correction term is given by (6.18) and

where K2, K3 are given by the set of equations (6.19)-(6.22).

We notice that the Brownian result is recovered for 9 = 0, as it must. The expressions (6.18)-(6.21)

are somewhat similar to expressions obtained by

Oono and Ohta [14], but differ on the whole, since

these authors calculated only the unnormalized

partition function.

We shall here exploit our results in some particular

cases, where they can be written in a new and simpler universal scaling form.

We shall consider three particular cases of interest

[6, 18, 19] (See Fig. 3)

a) The segment is equal to the entire chain, this corresponds to t =1, and a’ = a" = 0.

b) The segment is located at one extremity of the chain, for instance s" = 0, and thus a" = 0. Moreo- ver, if this segment is infinitesimally small, or the

chain is very long, then t -+ 0 and thus, according to (6.24) : a’ --* + oo .

c) The segment is inside the chain and very small,

or the chain is very large. This corresponds to

t--+O and a’--+ + oo , a" -+ + 00 .

Let us calculate the functions K2, K3 in these

limits.

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Fig. 3.

-

The three geometrical cases considered for the

probability distribution : case a, a

=

0, the .whole chain ;

case b, a = 1 a finite segment inside at the extremity of an

infinite chain ; case c, a

=

3, a finite segment inside an infinite chain.

K2 ( f!" , a )

For a --+ 0, we have, owing to definition (6.16)

For a - + oo , we calculate from (6.20)

and therefore

For a’ --* + oo, a" --* + oo , we need the expansion

of o (x ) (6.22) for x small

which leads for the function K3 (6.21) to

a result similar to that for K2 ( f£ , a -+ + oo ) .

So we have, in the three different cases a, b, c described above, for the function IK (f£ , a’ , a")

defined by equation (6.25) : a) The entire chain

b) The extremity of a very long chain

c) The interior of a very long chain

So we may represent these three cases by an index

a taking the values 0, 1, 3 for cases a, b, c respectively [6] and write in general

We therefore find the expression of the probability density P (6.23) for the three cases a, b, c :

This formula is a totally expanded expression. It can be better written in the interesting reexponentiated

form

We have checked that these expressions naturally agree with the moments of P calculated directly in a previous work [6]. For a

=

0, corresponding to the entire chain, equation (6.31) agrees with the result of reference [15], but the reexponentiated form (6.32) is different from that of reference [15]. (The reexponentiation there is not minimal). For a = 1, 3 the probability densities have not been written before.

Here, using the proper scaling variables X = r2/2 Y2, and 9, we obtain quite simple universal forms. The

quantity

(17)

is a universal function of PI, calculated here in a form involving only 9 at first order. We note that expression (6.32) agrees with the expected scaling results [18, 19]. At short distances, we have

where the exponents

agree with the exponents calculated by different methods in reference [19] and [6]. We obtain here the

universal coefficient to first order in 9, or E, which depends on the position along the chain.

At large distances, the expression (6.32) can be kept as such. It has the expected scaling form

since

The indices U a have been obtained in previous work [6] by calculating directly the high moments of P.

They are identical with the short distance indices

6 a (6.35), but this holds true only to the order E. We

note that the -4 coefficient does not depend on the

location along the chain. In figure 4 we have repre- sented the three different probability functions F (3-, a) = (21Ty2)d/2P(r,a), as functions of X = r2/2 Y2, for the three different geometrical

cases a

=

0, 1, 3 of figure 3. The reference length Y

is the Kuhnian size which the fraction of chain under consideration would have, if it were free to swell

alone in the solvent. Therefore Y does not depend

on the cases a

=

0, 1, 3 and thus the variable Y has

an absolute meaning. The three functions F (X, a )

can thus be compared together. Then considering

for eXample their maxima fE m,a’ one notices that the latter increase with a. This shows an interesting

universal geometrical property of the Kuhnian chain : it is more swollen inside ( a

=

3 ) than at its

extremities ( a =1 ) , and the local swelling ( a = 3,1 ) is always greater than the global swelling of the chain (a = 0). We already obtained this property in [6] by calculating all the moments of the probability distributions (see also [14]). It is interes-

ting also to compare these probability functions (6.33) (6.36) to their Brownian equivalent, obtained

for 9

=

0. It reads simply

and does not depend on the location along the chain.

In figure 4, the difference between the geometrical properties of the Kuhnian and Brownian chains is thus manifest.

Fig. 4.

-

The three different Kuhnian probability distribu-

tions F ( f!{ , a ) for a segment located according to the

three geometrical cases of figure 3a, b, c, with a

=

0, 1, 3.

The variable Y is Y

=

r 2/2 Y2, Y being the reference size the Kuhnian segment would have alone in the solvent. For

comparison, the curve B, FB ( Y ) e- corresponds to

a Brownian chain, and is the same for the three cases.

Considering the maxima of the curves, one clearly sees the geometrical property of the Kuhnian chain: it is more

swollen inside ( a

=

3 ) then at its extremities ( a =1 ) ,

and the local swelling (a = 3,1 ) is greater than the

global one ( a = 0 ) .

(18)

H[q] given by equations (2.12) (2.16) computed numerically. We set either d

=

4 in these

formulae and 9 8 + 1/8 0 in first order, in the

spirit of the E-expansion, or we take d

=

3 in the integrals (2.13)-(2.16) and the best known value of 9, 9 = 9*

=

0.233 in d

=

3. The first case is presen- ted in figure 5, the second in figure 6.

The variable x

=

q 2 X 2/2 takes values between 0 and 130, in these figures, where H- 1 [ q ] is represen- ted as a function of x (curve R). For both cases and

for large x, we have also represented the asymptotic

form (2.18)

where v = 0.588 [21]. For ho., the formula (2.20)

taken for E = 1, gives hoo

=

0.89. However, a better

value can be obtained by interpolating with the help

of the exact value of hoo for d = 1. Indeed, the

Kuhnian limit of polymer chains in one dimension is that of rigid rods of size X. Thus, the form factor

H[q] (2.2) reads exactly :

d=1

Thus we see, owing to (2.18), since v =1 for d =1,

that hrL; (d = 1) = o. Using then the value

hoo = 2 ( 1 - i (5 - C) ), valid for d = 4 - e,

8

s - 0, and hoo ( d =1 ) = 0, we find by interpola-

tion

The corresponding asymptotic curve (As.) is repre-

sented on both figures 5, 6. This curve is calculated

without any adjustable parameter, and since we use the best known value of the critical index v = 0.588,

and the interpolating value (7.3), it should give a quite good representation of the real curve for x

large. In figures 5, 6 are also represented two simple approximations, the Debye form factor (curve D)

and the uniform swelling approximation, of Peterlin

We see that the curves D and P are quite different

from the results of renormalization theory, i.e. the

curves R and As.

Fig. 5.

-

The inverse from factor H-’[q] as an universal

function of q2X2/2. D

=

Debye theory ; R : renormalized

theory ; As : asymptotic renormalized theory ; P : Peterlin theory. x experimental data of Noda et al. without polydis- persity corrections ; · the same points when polydispersity

is taken into account, and induces a horizontal translation of the points. d

=

4 means that the renormalized H [q] is

calculated in pure e-expansion, with coefficients taken at d = 4.

Fig. 6.

-

The inverse form factor as a function of

q2 X2/2, in the d

=

3 approximation. The only change

with respect to figure 5 is in the renormalized curve R which is calculated now in the d

=

3 approximation, 9 being taken equal to 9*

=

0.233. The curves D, As, P stay unchanged. This approximation for R is better, since R is asymptotically closer to the nearly exact asymptotic curve

As. Curve R is also closer to the experimental points.

(19)

We note that the two curves R of figure 5 and figure 6 are different for large x. Since the asymptotic

curve (7.1) (7.3) should be good in the high q region,

it can serve as a reference curve. Thus we see that the curve calculated for d = 3, 9

=

0.233 (Fig. 6) is

better than the curve of pure --expansion, with

d = 4 in the prefactors (Fig. 5). The first one is

indeed closer to the asymptotic expansion. For small

values of x, the two predictions of renormalization

theory are not very distinguishable, and even are

close to the Debye curve.

Let us now compare our results to the experimen-

tal points of Noda et al. We have taken the same

points as in reference [20], (Fig. 5), which correspon- ded to three samples of polystyrene in toluene.

However, we had to make a conversion since the abscissa variable of reference [20] was x’ = q2 RÖ.

Using in three dimensions N 1 (see (5.2))

we have x =2= G 2 R2 N -1 = xl N -1. 1 1 We need

a reasonably accurate value of the universal ratio N 1 which can be found from the second order e-

expansion (4.9bis) [13]. Here again we ameliorate it

by interpolating to d = 1, where N I = 1/2 exactly.

Then for d = 3, we find the approximate value N 1= 0.952. Using then the conversion x = x’ N

we obtained the experimental points denoted by simple crosses in the figures 5 and 6. We then note that these points do not really fall on any of the

curves. However, they are closer to the prediction of

renormalization theory (curve R). The (too) simple

models of Debye and Peterlin are clearly ruled out.

In order to obtain a better agreement with experi-

mental data, it is actually necessary to take polydis- persity into account. For this, we use a Schultz-

Zimm distribution of polydispersity 1 + p. It is shown in appendix B that the resulting polydispersity

correction has a very simple form in the asymptotic

limit x 00 . It is

with

Thus the corrected equivalent monodisperse curve is

shifted to the left. Owing to the form of the curve

giving H- 1 [ q], which is monotonously increasing,

this shift looks like an upward movement of the

inverse scattering curve. This agrees with the polydis- persity corrections made by Yamakawa [25] for a simple Debye from factor. The value x" is, according

to our formalism, the actual value to be given to the experimental abscissas, since we have chosen to refer

these data to our theoretical prediction, calculated

for a monodisperse system (Appendix B). We have

done this for the six last experimental points of Noda

et al. [20]. These points correspond to the sample

called F.2000 in reference [20], i.e. the sample with

the highest molecular weight, MW = 21 x 106. Its polydispersity has been recently studied by P. Stepa-

nek et al. in [26]. They found as a preliminary result

1 + p = 1.35, which would be quite a large polydis- persity. We prefer here to adopt tentatively a lower

value. For this, we consider the polydispersity of the

other sample F.850 used in [20], and having the same

manufacturer [27]. The latter gives the polydispersity

for F.850 = 1 + p =1.17. This is already an impor-

tant polydispersity, and the polydispersity of the sample F.2000, of greater molecular weight, could

be greater and close to 1.20 [28]. So, using tentatively

the value p = 0.17, and v = 0.588, we find for (7.7) :

.

The resulting position of the last six experimental points, using (7.6) (7.8), is shown in figures 5, 6 by

full circles. One observes the striking fact that these

points lie now quite close to the curves predicted by

renormalization theory ((R) and (As», in figure 6.

One notices that the agreement is less good with

curve R of figure 5 (d = 4 case). All of this is satisfactory, since the asymptotic curve, as already stressed, was expected to be good. The curve R of figure 6 is close to it, as well as the experimental points, with polydispersity corrections. The Debye

and Peterlin curves are clearly far away from the

experimental data in the large x region.

If we consider now the intermediate values of x in

figures 5 and 6 we see that there is a small branch of the experimental points (up to x = 60) which departs

from the main high x curve and lies below the latter.

The corresponding points in Noda’s et al. article [20]

(Fig. 5) are those of the sample 1-1.002 of lower

molecular weight than F.2000. It is important to note

that the two sets of data for 1-1.002 and F.2000 depart

from each other. In principle, one should also

perform polydispersity corrections in this interme- diate regime. However, the analytical form of H[q] being not simple in this intermediate x

domain, the polydispersity corrections would not take a simple form, but one expects again, that the monodisperse equivalent curve will move upward,

and come closer to the theoretical renormalized

curve R. However, we note that apparently the

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