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HAL Id: jpa-00246699

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Universal shape properties of open and closed polymer chains: renormalization group analysis and Monte Carlo

experiments

O. Jagodzinski, E. Eisenriegler, K. Kremer

To cite this version:

O. Jagodzinski, E. Eisenriegler, K. Kremer. Universal shape properties of open and closed polymer

chains: renormalization group analysis and Monte Carlo experiments. Journal de Physique I, EDP

Sciences, 1992, 2 (12), pp.2243-2279. �10.1051/jp1:1992279�. �jpa-00246699�

(2)

J. Phys. I France 2

(1992)

2243-2279 DECEMBER1992, PAGE 2243

Oassification Physics Abstracts

36.20E 64.60A 82.20W

Universal shape properties of open and closed polymer chains:

renormalization group analysis and Monte Carlo experiments

O.

Jagodzinski(~),

E.

Eisenriegler(~)

and K.

Kremer(~)

(~) Fachbereich Physik, Universitit Gesamthochschule Essen, Postfach 103764, D-4300 Essen I, Germany

(~) Institut fir

Festk6rperforschung, Forschungszentrum

Jfilich, Postfach 1913, D-5170 Jfilich, Germany

(Received

2 December 1991, revised 28 August 1992, accepted 2 September

1992)

Abstract. We investigate the influence of excluded-volume interaction

(EV)

on the shape

of a long flexible polymer chain. Both open chains and ring polymers are considered. We study probability distributions of shape parameters which are typically ratios of characteristic lengths

(such

as the principal radii of

gyration)

of a given conformation. For a class of shape parameters

such as the 'asphericity' Ad of a chain in d space-dimensions it is shown how mean values or higher moments of the distributions can be evaluated by field theoretic renormalization group

methods. The universality of these distributions is shown and the mean asphericity

(Ad)

is calculated within

an e = 4 d expansion.

(Ad)

is found to be much more sensitive to the EV than a frequently used asphericity-approximant which avoids the ratic-averaging. This is the first analytical confirmation of a result observed by other groups in numerical simulations.

We also investigate the complete distribution of A3 and of another

(prolate

vs,

oblate)

shape parameter in d = 3 by means of Monte Carlo simulations. The dependence on chain length is

carefully

investigated.

This improves the accuracy of previous estimates of universal asymptotic shape distributions. Generally the EV makes the shape more aspherical and prolate.

Comparing

quantitatively the increase in

(A3)

due to the EV as implied by the Monte Carlo data with that by the

(appropriately extrapolated)

first order e-expansion one finds good

[fair]

agreement in

case of ring polymers

[open chains].

1. Introduction.

The

typical

gross

shape

of

polymer

chain conformations is not

spherical

[1, 2]. This

asphericity

seems to

play

an

important

role for flow

properties

of

polymeric

fluids

[3]-[6].

It must also be

taken into account if

polymer

solution

properties

such as the second virial coefficient are calculated

by

means of

phenomenological

'smoothed

density'

theories [7]. Other random fractal

objects

such as the clusters

resulting

from kinetic

aggregation

or

percolation

processes

show also

non-spherical shapes [8]-[10].

(3)

2244 JOURNAL DE PHYSIQUE I N°12

Consider a

specified

conformation of N

points

in d-dimensional space

[representing

either

the monomer

positions

in a

polymer chain,

or the

occupied

sites in a

percolation cluster, etc.]

with

corresponding position

vectors

Rj

"

(X;,I>

X;,2>

>X;,d)

) "

I,.

,

N

Ii)

The

shape

of this conformation can be

conveniently

characterized

by

the d

eigenvalues

qa of the radius of

gyration

tensor [2, 11, 12] with elements

N

Qop

=

~ £ (x;,a x;,aj (x;,p x;,pj (2)

;,;=1

The usual square radius of

gyration RI

is

given by

the trace of

Q

RI

d

=

L

qo +

d# (3)

«=1

and characterizes the linear overall extension or size of the conformation. To characterize the

shape

of the conformation one has to consider ratios of

eigenvalues.

The

simplest

such

quantity

is the

'asphericity' ill,

13]

~

~~ =

~~~ ~~~

did -1) j2 ~)

Note that Ad vanishes for conformations with all

eigenvalues

qo = j

equal

and takes a maximum [13] value of I for a

(completely collinear)

conformation where all

eigenvalues

vanish except

one.

Ad

characterizes the

shape's

overall deviation from

spherical

symmetry. Another

simple

ratio [13]

~~ ~~~ ~~

~)#)~~~

~~~ ~~ ~~~

distinguishes prolate

from oblate

shapes

in d

= 3. Positive

(negative)

values

belong

to

prolate (oblate) shape [with

one

eigenvalue greater (smaller)

than and the other two smaller

(greater)

than

ii. 53

is bounded [13] to the interval

[-~,2].

The value 2

(-~)

is taken when two

4 4

eigenvalues

vanish

(one eigenvalue

vanishes and the other two are

equal).

The

probability

distribution of the conformations

(R;)

in

(I) depends,

of course, on the system under consideration. Of

particular

interest are critical systems such as

long

flexible

polymers, percolation

clusters near the

threshold,

etc, where correlations exist over macro-

scopic lengths.

These systems show the remarkable

phenomenon

of

universality.

This means that many of their

large

scale

properties [which

are then called 'universal

properties']

are inde-

pendent

of most details of the

microscopic

interactions. As a consequence one may use

simple

models for a

quantitative

calculation of universal

properties.

In the present context it is natural to look for

shape properties

which are universal

[13].

We are interested in linear

polymers,

both open chains

(oc)

and

ring polymers (rp).

As we shall discuss below the mean values of

Ad

and

53 land

even the

corresponding probability distributions]

are universal in this

case

provided

the number N of links

(or monomers)

in the flexible chain tends to

infinity.

This means in

particular

that for

polymer

lattice models in d

= 3, say, the universal shape

properties

are

independent

of the lattice structure. Here the so-called

polymer-magnet-analogy [14,

15] is

extremely

useful since

universality

in critical

(4)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYMER CHAINS 2245

magnetic

systems or 'field theories'has been

investigated

in great detail. Similar

analogies

are

useful in case of

percolation

clusters or lattice animals [9].

Polymers

with and without excluded-volume interaction

belong

to dilTerent

universality

classes

[15], [16].

The main concern of the present paper is to

quantitatively

estimate the influence of excluded volume on universal

shape properties

both

analytically by

means of the renormalization group and

by

numerical simulations.

We

investigate (for

the first time

analytically)

the mean

asphericity

(Ad) (6)

in presence of excluded-volume interaction. Here we use a method to average ratios such

as Ad or

53,

which has been

proposed by

Diehl and

Eisenriegler [17].

These authors have obtained exact results for

arbitrary

d of the

corresponding quantity (Ad)o

for random walk

chains. Previous

analytical

treatments

ill, 13,

18] avoided the

ratio-averaging

and evaluated

a

quantity

j

~~~

~~~

(~~

~ (~~)

which

is,

of course, dilTerent from the mean

asphericity (6). Contrary

to

(Ad)

the

quantity

Id

has no direct relation to the

probability

distribution of the

asphericity

parameter Ad- It is these

shape-distributions, however,

which

provide

the clearest information. We

investigate

analytically

how

(Ad) begins

to deviate from

(Ad)

o when the space dimension d becomes

slightly

less than the

'upper

critical dimension' d

= 4

[above

which the excluded-volume interaction is irrelevant

[15,

16] and

(Ad)

becomes

equal

to

(Ad)o

as N -

cc].

An estimate for

(A3)

is obtained

by appropriate extrapolation.

We find that

(Ad)

is much more sensitive to the excluded-volume interaction than the

quantity Id-

This is in line with

previous

numerical

estimates

by Bishop

and Saltiel

jig]

and

by Cannon,

Aronovitz and Goldbart [20].

We also calculate

exactly

the average

(53)o

of the

prolate /oblate shape

parameter

53

for

rp's

and oc's without excluded-volume interaction. Let us mention that the methods of reference [17] and of the present paper could be used to average besides Ad and 53 also other ratios of

interest in

polymer physics.

One

example is,

of course, that of the squares of the end to end distance and the

gyration

radius. Another one, for a chain

grafted

to a

plane surface,

is that

of the squares of

appropriate gyration

tensor components,

parallel

and

perpendicular

to the

surface.

To

investigate

universal

shape properties

we have also

performed

Monte Carlo

(MC)

sim- ulations for

polymer

on lattice models in d

= 3. This allows to compare with our

analytical (renormalization group)

estimates of

(A3)

for

rp's

and oc's. Besides the mean

value,

one may

extract from MC-data the

complete probability

distribution for a

given shape

parameter

[21].

These distributions are not

sharply peaked

for N - cc and show a non-trivial universal form which

depends strongly

on the space dimension

[24].

In

higher

dimensions

id

=

4, 5)

the

most

probable asphericity (Ad)mp

where the

(broad)

distribution attains its maximum

is nonzero and

roughly equal

to

(Ad)-

In d =

2, however, (A2)mp

and

(A2)

can be

drastically

dilTerent.

E-g-

for

random-walk-rp's (A2)mp

" 0 while

(A2)

" 0.28

[25].

In this paper we shall

concentrate on the distributions of

A3

and

53.

As for open chains these distributions have

been also addressed in reference [20] and reference [24]. For

ring polymers they have,

to our

knowledge,

not been considered before. We extend

previous

Monte Carlo work

by carefully investigating

the

dependence

on chain

length

N in order to arrive at more accurate numerical

estimates for the universal N - cc

properties.

We close the introduction with a

guide

to the rest of the paper. The

analytical approach

to evaluate

(Ad)

will

proceed

in the usual way

by combining

the

expansion

with respect to

(5)

2246 JOURNAL DE PHYSIQUE I N°12

the excluded volume

(EV)

with the renormalization group

[16].

In subsection 2.I we discuss the random walk

(or

ideal or Gaussian

-)

chain situation which is the

starting point

of the

expansion.

Here we

explain

the method [17] of

ratio-averaging,

This leads to somewhat

unusual Gaussian mean values and propagators [17] which will appear

again

later as

building

blocks in the

perturbation expansion.

We also take here the

opportunity

to calculate

(53)o.

Details of this calculation are

given

in

Appendix

A.

The influence of EV-interaction on

(Ad)

is

investigated

in subsection 2.2 which is divided into two parts. In the first part we discuss the

general

structure of the renormalization group and show that the distributions of

shape

parameters such as

Ad

are universal. Some details of this discussion have been deferred to

Appendix

B. In the second part we determine the form of the first order in EV contribution to

(Ad),

evaluate the universal result for

(Ad) /(Ad)o

to

first order in

e = 4 d

(8)

and present an estimate for

(A3).

The necessary

explicit

numbers are extracted from the first order

expressions

in

Appendix

C. There we also

verify

that these expressions

obey

the

general

renormalization structure.

In section 3 we describe our Monte Carlo simulation and present results for

distributions,

mean values and relative variances of A3 and

53

for oc's and

rp's

with EV-interaction. For

comparison

we present also the

A3

distribution for oc's without EV, A summary of our results is

given

in section 4.

2.

Analytical

treatment.

2.I IDEAL (RANDOM WALK) CHAIN. Consider a

simple polymer

model where the N

points

R;

in

(I)

form a harmonic chain with nearest

neighbour interaction,

I-e- with a Hamiltonian

d

7iRW(Rj)

"

£ hRW(X;,a) (9)

a=1

~~~~~

hRW

(~j ~2 ~ ~'

~~ ~

~ ~~~~

j"2(J)

The summation over

j

starts at

j

= 2 if the chain is open, and at

j

= I if it is closed. In this latter

case one must

interpret

the variable Xo

occuring

in the

j

= I term as XN. The Gaussian model

(9), (10)

is one of the

simplest

in the

universality

class of ideal

(or

random

walk, RW)

chains where true many

body interactions,

such as the

EV-interaction,

are

disregarded.

The ratios

(4)

and

(5)

can be written as [13]

and

53 =

27~lll)~ (12)

respectively.

Here ~j means the traceless tensor

ij

"

Q ~~~

ld

(13)

(6)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYMER CHAINS 2247

and the definition

(3) off

has been used. Note that numerator and denominator in

(11)

and

(12)

have a

simple (polynomial)

form in terms of the basic variables R or X. This would be

more

complicated

for other

interesting shape

parameters such as the ratio

qm;n/qmax

of the minimal and maximal

eigenvalue

of

Q.

In order to average the ratios

II), (12)

it is

advantageous

to

exponentiate

the denominators

[17]

by

means of the

identity

(~~Q)~~

"

~~

~~j

/~dV V~~~ ~~~~~~ (~~)

and to rewrite the

ensuing

average as

1' (Qi

~~

~~~io

-

i' IQ)

io,~ l~~

~~~

lo (15)

where

F(~j)

is

tr(~j2)

or

det~j

in

case of

(11)

or

(12).

Here

)o

denotes the

original

average

over

(R)

conformations with respect to the Hamiltonian

~Rw

in

(9)

while )o,~ is an average with respect to a formal Hamiltonian

~Rw,~

" ~Rw + vtr

Q (16)

From the form

(2)

of one concludes that

~Rw,~

has

again

the form

(9)

with hRw

replaced by

N ~

hRw

~

(X; )

= hRw

(X; )

+ ~

~

£ (Xi X;) (17)

' 2N

1,j=J

The

subscript

0 on the above averages indicates that we still

disregard

the excluded-volume interaction. Since both ~Rw and

~Rw,y

are

quadratic

forms in the basic variables R or

X,

the above averages can be

easily performed,

e-g-

by introducing

normal coordinates. In the

continuum limit t

-

0,

N

- cc with

L =

Nt~ (18)

~~~~ ~~~ ~~~~ ~~~

(e~~ ~~~)$~~ sin~~~/2)~

~

~~~~

~~

(e~

~~

~)i~~

"

sint(fl)1

~~~

~~~~

for

ring polymers

and open

chains, respectively,

where

fl

=

2/j. (21)

Note that the

quantities (19), (20)

are

closely

related to the distribution functions for the square radius of

gyration

of random walk chains

[26, 27].

The other average

(F(4))o,~

can be

expressed

in terms of the propagator

G>,>, =

lx> xii lxj, xii )~ (22)

by applying

Wick's theorem. The continuum limit

G(t,t')

= lim

Gj=i/ia,j,=t,/t2 (23)

(7)

2248 JOURNAL DE PHYSIQUE 1°12

of the propagator reads [17]

G~»~(tt~)

=

p

inl~p/~~ C°Sh fl II

'~

i~")I

C°Sh

fl II I)I

cosh

fl ~

~)j

+

cosh(fl/2) (24)

2 L

and

cosh

fl l

)j

cosh

fl l ~')

+

osh(fl))

L L

(25)

Of course, t and t' both vary in the interval [0,

L].

This formalism has been used [17] to evaluate

(Ad)o,

the mean

asphericity

of random walk chains. Here we calculate the

corresponding

mean value

(53)o

of the

prolate/oblate

parameter

(5).

In

Appendix

A we show how

(det ij)o,~

can be

expressed

in terms of the propagator

G(t,t'). Using (14)

with m

= 3 and

(19), (20)

one finds

lS3lo

=

/~°dflz(fl) (26)

with

~~~~~(fl) =

~°~

p2

~°~~(~fl)

6

cosh~)p)

~ j

~~°Sh(fl)

lo

~fl Cosh(3fl/2)

~~~~~~ ~ ~ ~

+2fl~ cosh(fl/2)

+ 6fl~

sinh(fl/2) 3fl cosh(fl/2)

+ 48

sinh(fl/2)j (27)

and

/

~~~~~~~~

~~ cosh(4fl) -~~~(2fl)

+ 3

(~~

~°~~~~~~ ~~~~~~~~~ ~

~~

~°~~~~~ ~

+12fl~ sinh(fl) 3fl cosh(fl)

+ 24

sinh(fl)j (28)

Numerical

integration yields

the final results

j~~jjoc)

= 0.475,

which show that the average form of open as well as closed Gaussian chains is

prolate.

2.2 CHAIN WITH EXCLUDED-VOLUME INTERACTION. To describe a

polymer

chain in a

good

solvent we have to add a

repulsive

interaction V between monomers to the Hamiltonian ~Rw.

(8)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYAIER CHAINS 2249

Due to

universality

there is some freedom as to the form of V. For

analytical

calculations it is most convenient to use a continuum model with the form

v

jRj

=

j f~ dial'&d (R(i) R(i')j (30)

of V. The

perturbation theory

of the continuum model is well defined if the

occuring

unper-

turbed chain

partition

functions contain

only

'monomer

numbers'larger

than some

microscopic

cutolT

[16]. Actually

we shall

adopt

dimensional

regularization

[16] instead which is more con- venient.

In the

following

we shall

study

how the mean value

(Ad)

of the

asphericity ill)

is influenced

by

the excluded-volume interaction.

Using

the

identity (14)

with m = 2 one finds

(Ad

" ~

/ dy

y

(tr (ij~)) (e~~

~~Q

(31)

d I

~

~

Here the second mean value on the rhs has to be calculated with the usual Hamiltonian

~ = ~Rw + V

(see Eqs. (9), (10), (30))

while the first mean value involves

~~

=

~Rw,~

+ V

(see Eqs. (16), (17)).

2.2,I Renormalization and

universality. Straightforward perturbation theory

in u is useless for

long

chains. The reason is that in

spatial

dimensions d < 4

increasing

u powers get

multiplied by increasing positive

powers of the chain

length

L. One may circumvent this

problem by

means of the renormalization group

(RG),

which maps a

long

onto a short chain.

How to set up the RG for the above-mentioned continuum model is well known

[16].

Since

the statistics of

polymer

conformations is

closely

related [14] to a

(Landau-Ginzburg type)

field

theory,

one may use field theoretic renormalization

[28, 29].

Here one locates the ultraviolet

(UV) divergencies

of the

theory (which

appear, within dimensional

regularization,

as

pole

terms in e

= 4

d)

and absorbs them into a

reparametrization.

We discuss in

Appendix

B how the

reparametrization

for the two mean values on the rhs of

equation (31)

can be obtained. The result is

(tr (~j~))

=

~~~

Fj

L~,u~,

(32)

~ p

and

(e~~

~~Q) = F2

L~,

u~, (33)

~ Here

L =

~~~ (Zt) L~ (34)

and

u =

16x~f(e)~~Zu u~ (35)

with ~ an

arbitrary

inverse

length

scale. We will not

specify

the

e-dependence

of

f(e)

= I +

Eli

+ e~

f2

+

(36)

beyond f(0)

= 1, since it must

drop

out in

(a systematic e-expansion of)

universal

quantities.

The Fi in

equations (32)

and

(33)

are dimensionless functions and are

finite

for e

-

0,

if their

arguments

are

kept

fixed. All

e-poles

are contained in the factors

Zg = I +

e~~Zj~) (u~)

+

e~~Zj~) (u~)

+

(37)

g # t, U

(9)

2250 JOURNAL DE PHYSIQUE I N°12

ofthe

reparametrization.

These are indentical with the

corresponding

factors ofa n-component

#~ field

theory

as n - 0. For later use we note the

explicit expressions

Zt = I +

(

+ O

(u~)

~

Zu = +

~

+ O

(u~)

~

(38)

The arbitrariness of p leads to renormalization flow

properties

of the

Fj,2.

This is shown in

Appendix

B and reads

Fi

L~,u~, Fill~(I),fi~(A),

~

~

e~~'~ (39)

~

(e-Ap)

with a free

parameter

I. Here

Ej = -4

,

E2 " 0

(40)

and fi~

,

£~ are determined

by

(~iR(>)

=

-fl(a~(>))

,

fi~(o)

=

uR (41)

and

£~(l)

~

=

L~

exp

/

dA'

1l(fi~(1')) (42)

o

The functions

fl

and 1l are related to the factors

Zg

in

equation (37),

see

Appendix

B. For

e > 0 the function

fl

=

fl(u~)

has a

non-vanishing

zero

u~

=

(~

= e + O

(e~)

,

(43)

which is an attractive fixed

point

for

positive

fi~

as I - cc.

Equation (39)

can be used to map a

long

chain

L~

- cc onto a short chain

£~

= l. This

requires

- cc

since1l((R)

is

positive. Quantitatively,

increases with

LR (in

the

asymptotic

limit

L~

-

cc)

as

e~ -

[D (u~) L~)~

,

(44)

where

v = =

(I

+

)j

+ O

(e~) (45)

"( "~)

and D is

given

in

equation (I II).

Thus in this limit

Fi

L~,u~, -~bi

e~~

e~~'~ (46)

P ~

with I from

equation (44)

and

~b;(Y)

=

(1,(~, Y) (47)

We may now obtain the renormalization behaviour of the mean

asphericity (Ad).

From

equations (31),(32),(33)

it follows that

(Ad)

"

) /

dz

z

Fi (L~, u~, z)

F2

(L~, u~, z)

=: a

(L~, u~) (48)

~

(10)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYMER CHAINS 2251

is a function of

L~, u~,

which remains finite as e

- 0.

Equations (40), (44), (46)

and

(47)

tell

us that in the

asymptotic

limit L~

- cc

lAd)

= a

I, uR

,

u~

> 0

(49)

~

Equation (49)

shows the

universality

of

(Ad).

Its value for

long enough

chains is

independent

of the

strength

u~ > 0

(I.e.

of u >

0)

of the excluded-volume interaction. It does of course

depend

on whether we consider an open

polymer

chain or a

ring polymer (For given

arguments the functions

Fi,~bi,

a have dilTerent values in the two

cases).

We show below that these universal

(Ad)-values

are

dijfeTent

from the

corresponding

values

(Ad)o

#

ail, 0) (50)

for random walk type chains which have been

given by

Diehl and

Eisenriegler [17].

In

Appendix

B it is also discussed how the two mean values in the

integrand

of

(31)

can in the

asymptotic

limit be

parametrized

in a universal way.

(53)

and the mean values

((Ad)~), ((53)~)

of

positive integer

powers of Ad and

Sd

are universal in the same sense as

(Ad)-

Each of these mean values has a

representation

with

essentially

[30] the form of the rhs of

(31). By repeating

the

previous arguments

one realizes that the

ensuing

flow factors

e~,

see

equation (44), always drop

out from the

y-integral-

As a

consequence the distributions such as

(6(A Ad)

+

P(A) (51)

are universal functions in the limit of

long

chains.

2.2.2 Perturbation

theory

and

e-expansion

results. In this section we present

explicit

es-

timates for the universal mean

asphericity (49)

of a

ring polymer

and an open

chain,

in the swollen state. We shall

investigate

how the

a(I, (Rl's

start to deviate from their random walk

counterparts

a(1,0)

as the dimension d

= 4 e of the

embedding

space becomes

slightly

less than

4,

and try to

extrapolate~towards

d = 3.

Actually

we

perform

a

systematic e-expansion

to first order of the ratio

~~~'"~~

a(1, 0)

According

to

equations (32)-(38)

this

requires expressions

for the two mean values on the rhs of

(31)

to order

and

vi,

which we denote

by subscripts

0 and

I, respectively.

Zero order

expressions

for

(e~~

~~Q) have

already

been

given

in

equations (19), (20).

For the second mean value one finds from

(2)

and

(22)

ltr(ij~))

" ~~ ~

((~

~~

/~dti dt[dt2dt[ (2j (ii, t[,

t2,

t[)

~

(52)

o,~ o

Here

~ (il>i~>12>i~) (~1J42)01 ~(il>12)

+

G(i~>i~) ~(il>i~) ~(i~>12) (53)

and we have introduced the notation

A; +

x~ji;) x~(ij)

,

i m 1,2

(54)

To arrive at

(53)

we have used that for the Gaussian

(0,y)-statistics

Wick's theorem holds and the dilTerent Cartesian components Xa are

independent

and

equivalent. Inserting

the

propagators

(24)

and

(25)

one

finds, respectively,

for

ring polymers

(tr Q~)))[~

=

L~

)[))(j)) 2

+

(

+

( sinh(fl)

2

Cosh(fl)j (55)

(11)

2252 JOURNAL DE PIIYSIQUE I N°12

and for open chains

with

fl

from

(21).

Of course, these

expressions appeared already

in the calculation of

a(1, 0) J71.

To evaluate the u~-contributions

(e~~~~Q)~

=

(e~~~~Q)~ ((V) (V) (57)

o o,~

an~

jtr (Q2)j

~~

=

ltr (°~)

vlo,~

+

l~~ ~°~~10~ 1~1°Y

~~~~

we rewrite

(30)

as

v

jRj

=

"

/~didi, / ~ik jR~t)-R(i,)j

6 ~~g~

o k '

with

~x~d

~

~~~~

The

remaining

averages with the Gaussian Hamiltonian

~Rw,~

all follow from Wick's theorem and

simple

combinatorics. The average

(V)o,~,

which we

require

for

(57),

is

particularly

easy

u

~~~~~, / ~-k2sy(t,t')

=

? f~didi' (s~ji,i')j

~~~~~

(61)

~~

o,~ 6

o k

(2vfi0~~

°

Here

S~(t, t')

=

j(A~)

=

jG(t, t) G(t, t')

+

jG(t', t') (62)

o,~

with a notation

A +

Xd(t) Xd(t') (63)

similar to

(54).

The average

IV)

o in

(57)

follows from

(61) by putting

y = 0. For the

quantity (58)

one finds

l~~

~~~~i,y

~~

4~~~~ /~~ /~

~ ~~~~~~~~~~

~~~~

~~~~~~~~~0& ~~2~~0a~~~~2~0w

(k~)~ (lAiAlo,vj

~

(IA~A)o,yj

~

l

(d I)(d

+

2)

u

(2~6od

4L4 6 ~

x

/dS (Sy(t,t')j ~~~~~2j(tj,t[;t,t')2j(t2,t[;t,t')2j(tj,t[;t2,t[)-

js~(i, i,)j

~~+~/~

in (ii, ii

i,

i,)j

~

in (i~, ii

i,

i,)j

~

164)

with the notation

/dS

+

/

~ dt

dt'dti dt[ dt2 dt[ (65)

o

(12)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYMER CIiAINS 2253

These

expressions

allow to calculate the

uR-expansions

Fi

L~,u~, §,e

=

£ (u~)~F;jlL~, §,e (66)

~ ;-oi ~

(i

= 1,

2)

of the rhs's of

(32)

and

(33)

up to and

including j

= I. Here we have

explicitly

noted the

e-dependence

of the Fi's which has been

suppressed

in subsection 2.2.I. The first order in

u

expressions (e~V~~Q)i

and

(tr (~j~))i,y

contain

([or

u, L

fixed) e-poles

at e = 0. The reason for these

poles

is the

vanishing

Sy(t,t')

- It

t'[

,

t - t'

(67)

of

Sy

as t

approaches

t'. This leads to

singularities

in the

integrands

of

(61)

and

(64)

which

are

non-integrable

for e

= 0. In

Appendix

C we calculate the

leading

e - 0 contributions

c~ ue~~ and ue° to

(e~V~~Q)i, (tr (~j~))j,y.

We

verify

that the

poles

are indeed absorbed

by

the

reparametrizations,

I-e- that the functions

Fi;i(L~,z,e)

contain no

e-poles,

and present

explicit expressions

for

Fi;i(L~,

z,

0).

These enter the ratio

~j)j,(jj~

= i +

uR

b + o

(uRe, (uR)~j (68)

with

~

b =

~

/

dz

z(Fj.j(1,

~,

0)F2 o(I,

z,

0)

+

Fio(I,z,0)F2.i(I,

z,

0)) (69)

a(1>°>°

3

o ' ' ' '

We show in

Appendix

C that is indeed

independent

of the form of the non-universal factor

f

in

equation (36)

and present in

equations (166), (167)

and

(169)

numerical results for the

two contributions to the

integral

in

(69).

For the final evaluation of b one needs the random walk results

~~~'~'~~

"

~~~~° .~~~

)$(

~~~~

for

ring polymers (rp)

and open chains

(oc) [17].

This leads to

Surprisingly

we find within the accuracy shown

nearly

the same result for both

ring polymers

and open chains.

To estimate

(A3)

+ a

(I, (R, I)

we use

equation (68)

with uR

=

(R

and

approximate

its rhs

by

the first order

e-expansion.

Then

equations (43)

and

(71)

lead to

To arrive at the final numbers we have

again

used random walk results [17]

~~ o

1°.246

0.394

(rP) (oc) (~3)

Equation (72)

represents our renormalization group estimate for the

asymptotic

mean as-

phericities

for

ring polymers (rp)

and open chains

(oc),

in the swollen state and in three

(13)

2254 JOURNAL DE PHYSIQUE I N°12

dimensions. The

prefactor

I +

b)implies,

for both types of

chains,

an increase of 5

~it

in

8 2

the mean

asphericity

due to the excluded-volume interaction.

We note that the

quantity ld,

where numerator and denominator in

(4)

are

averaged

inde-

pendently,

is much less sensitive to the excluded-volume interaction. Within the

e-expansion

Aronovitz and Nelson [13] estimated [31] an increase of

l~~

of

only

I

~it

Monte Carlo simu-

2 lations in d

= 3 which will be discussed in the next section arrive at the same

qualitative

conclusions.

3. Monte Carlo calculations.

In the

analytical

part we used

a continuum

model,

both in the monomer index space and in the

embedding

space. For Monte Carlo simulations of course we have to confine ourselves to discrete

models,

at least

concerning

the monomer index. In this work we will also discretize the

embedding

space, I-e- we are

going

to

investigate

the

shape properties

of lattice

polymers

[32]

3.I OPEN CHAINS.

3.I.I Model and method. As we are

only

interested in the case d

=

3,

the

polymer

con-

formations are modelled as N-step walks on a

simple

cubic lattice

(lattice spacing

=

I).

We denote one end of the monomer I

by

the lattice vector Ri with I < I < N. The

only

constraint for RWS is that all successive vectors in the set

(Ro,

,

RN)

denote

neighbouring

lattice

points.

The excluded-volume condition is

easily implemented by

the

simple requirement

that

no lattice vector R may appear twice in one conformation

(Ro,

,

RN

).

To go from one

single configuration

to proper

ensembles,

we need an efficient

algorithm

which

scans the space of all

possible

conformations with respect to

ergodicity.

As we are concerned

with

strongly fluctuating

matter, we have to generate at first

large samples

of chains of fixed

length,

in a second step the chain

length

itself has to be varied in order to

extrapolate

to the

asymptotic

limit. Whereas the

procedure

to generate RW lattice chains of

length

N is

obviously

clear

(make

N steps at random

on the above

lattice),

the choice of the

algorithm

for SAWS needs more care. For our purpose a static method like dimerization [33] seems to be best suited. This method, which respects all above

requirements,

enables us to generate

large samples

of

statistically independent

chains

(100000 / length)

for fixed

lengths

N with 30 < N < 220. This set of data allows a proper

scaling analysis

for all

properties

in

question.

The

method,

which is a modification of the

orginal

dimerization method of Alexandrowics [33],

proceeds

as follows [34]. For a SAW chain of

length

N we have to generate at first a SAW of

length N/2 by simple sampling,

I-e- generate a non-reversal random walk

(NRRW)

of

length

N/2,

start at the

beginning

when the chain intersects itself. In a second step another NRRW

is started at the end of the first one. If the second half intersects itself

(and perhaps

also the first

one),

one has to start

again

at the end of the first

half,

the first part itself

remaining unchanged. Only

in the case that there are

merely

intersections between the first and the second

half, being

SAWS of

length N/2

for

themselves,

both parts are cancelled and anew run has to be started. This

method,

which is

completely equivalent

to the

original

dimerization

method,

has some technical

advantages

to the latter one,

sharing

all their other

advantages,

e-g-

high efficiency compared

to

simple sampling.

For

larger

chains this method can be used

recursively

on several levels

[34].

As the excluded-volume condition omits all

intersecting

(14)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYMER CHAINS 2255

1.50 '

P(A3) 1.00

0.50

0.00 0.20 0.40 0.60 0.80 1.00

A3

Fig.

I. Probability distribution for the aspheficity A3 for open RWS

(loo

coo chains with N

=

1024);

(A3)f~~, (d3)f~~

denote exact mean values.

configurations

from the

sampling,

all

possible

conformations have

equal probability leading

to

simple

arithmetic averages for all

properties.

In the first part of our calculations we will have a short look on the

shape properties

of open RW chains. The main part,

however,

is devoted to the

properties

of open SAW

chains,

where the size as well as the

shape

will be

investigated.

3.1.2 Results and

scaling analysis.

Besides mean

values,

which will now be denoted

by

((A3))

or

((53)),

we also

generated

a

histogram

for the

asphericity

of RW chains

(see Fig. I).

The main purpose for this calculation

(100

000 RWS with N

=

1024)

is the

possibility

to

investigate

the influence of the excluded-volume interaction on the

shape properties

not

only

via average parameters, but also via distribution functions.

Using

this as a basis of

comparison

we treated the

problem

of SAW chains

by

means of the above dimerization method. All average

quantities

were calculated for chain

lengths

between N = 30 and N = 220. For each N 100 000

statistically independent

chains were

sampled (see

Tab.

I) giving

an error bar for

((R~))

of about 0.3it. In addition we calculated

histograms

for

the two

shape

parameters A3 and

53

from the data for fixed

length

N = 140.

Mainly

as a check for our computer program we first

investigated

the

scaling

behaviour of the end to end distance

((R~))

and the radius of

gyration ((RI)).

A double

logarithmic plot

of these

quantities

versus chain

length (see Fig. 2)

leads to well-known results for the correlation

length

exponent

vR2 = 0.590 + 0.005

vRj

= 0.592 + 0.008

(74)

As detailed corrections to

scaling

have not been taken into account

[34],

the results are consis- tent both with other numerical and

analytical

work.

We also

analyzed

the behaviour of the universal ratio

((R~))/((Rl)),

which

is,

due to

large

fluctuations in the

samples,

a rather delicate

quantity.

A

scaling plot

of

((R~))/((R[))

versus

the

leading

finite size correction N~~

IA

= 0.47 in d

= 3

[35],

see also

Fig. 3)

shows that

(15)

2256 JOURNAL DE PHYSIQUE I N°12

jj~~~j~«)

iiRiii~"~

20 40 80 160 300

N

Fig.2.

Double logarithmic plot of ((R~))1°~> and ((R[))1°~> vs. N.

6.

o o

o

jjR2jj<oc> °

iiRiii~"~ ~

0.00 o-lo o.20

11-A

Fig.3.

scaling plot of

((R~))1°~)/((R[))(°~)

vs. N~~

universal

scaling

behaviour starts at chain

length

about 80. Below N

= 80 lattice

dependent

effects dominate. The

extrapolation

to infinite chain

length yields, assuming

the behaviour as indicated in the

figure,

jj

j~2))(oc)

jj j~2

jj(oc)

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

(~~)

G

which should

only

be

compared

with other simulation data. Shanes and Nickel

[36],

who combined Monte Carlo data and exact enumeration

results, got

the

asymptotic

ratio

((R~))(°~)/((R[))(°~)

= 6.2487 +

0.0013,

which is in excellent agreement to our data.

Based on

this,

we think that our data are also

reliable,

when

non-diagonal

elements of

Q

are considered. We calculated the mean values of A3 and 53 as well as of

Al

and

S(

for a

variety

of chain

lengths.

These averages also contain information about the width of the distribution

(16)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYMER CHAINS 2257

Table I. Simulation data

for

open SAW chains in d

= 3

(100

000 chains

/ length).

N llR~ll~°~~

llRlll~°~~

llA3ll~°~~

llAlll~°~~

llS3ll~°~~

llslll~°~~

9.86 0.4404 0.2305 0.5570 0.4905

40 88.29 13.92 6.341 0A410 0.2311 0.5586 0.4928

50 lls.34 18,19 6.339 0.4395 0.2297 0.5556 0.4887

60 143.65 22.64 6.345 0A401 0.2301 0.5569 0.4893

70 173.09 27.31 6.339 0.4398 0.2300 0.5566 0.4893

80 202.91 32.00 6.342 0.4387 0.2291 0.5543 0.4868

90 232.50 36.78 6.322 0.4377 0.2282 0.5526 0.4847

100 265.15 41.87 6.333 0.4388 0.2294 0.5550 0.4887

l10 295.98 46.83 6.321 0.4374 0.2282 0.5520 0A851

120 327.56 51.85 6.317 0.4372 0.2278 0.5518 0A831

130 360.95 57.16 6.315 0.4373 0.2279 0.5519 0.4842

140 393.51 62.44 6.302 0.4368 0.2276 0.5508 0A831

160 462.97 73.36 6.311 0.4372 0.2277 0.5515 0A831

180 533.58 84.48 6.316 0.4373 0.2280 0.5523 0.4843

200 602.37 95.62 6.300 0.4356 0.2264 0.5484 0.4790

220 674.57 106.99 6.305 0.4363 0.2269 0.5506 0.4805

function ofA3 and

53, given by

the relative variances

jj

~2))(oc)

jj~~))(oc)j~ fi~~~~

~

~

(~~)

~~

llA3ll(°C)

~~~~

~/jjs())(OC)

(jjS3))(OC)j~

~S3

ii s~))(OC) ~~~~

Scaling plots

similar to that in

figure

3

yield following asymptotic

limits

(see Figs. 4-7)

((A3))~°~~ = 0.431 + 0.002

(78)

A

~)~

= 0.442 + 0.004

(79)

((53))~°~~ = 0.541 + 0.004

(80)

At~

= 0.773 ~ 0.005

(81)

The value of ((A3))~°~~ fits very well to the result of

Bishop

and Saltiel

[19],

who used a

pivot algorithm

for two chain

lengths (N

=

201,401). They

find 0.431+ 0.002 for both N which

seems not to follow

properly

the correction to

scaling

curve

(of Fig. 4).

Other simulations

by

Cannon et al. [20]

give

0.447 + 0.011 and 0.572 + 0.025 for the mean values of A3 and

53, respectively.

These calculations were confined to one

single

chain

length

N = 100 and no finite chain

length analysis

w,as

performed.

Their

(rather large)

error bar is due to statistical scatter of the data and cannot account for

systematic

elTects. As these authors used the same lattice

type as we

did,

their result can

directly

be

compared

to the data of

figures

4 and 6. As can

(17)

2258 JOURNAL DE PHYSIQUE I N°12

*

0.

o

~

iiA311~"~ °

o o

0.

o.00 0.10 o.20

/f-~

Fig.4.

Scaling plot of ((A3))1°~~ vs. N~~

(statistical

error is of the order of the scatter of the

data);

(o) from reference [19],

(*)

from reference [20].

~(oc) o

o o

o.oo o.10 o.20

/f-A

Fig.5.

Scaling plot of

a(]~

=

fin

((A(11 ((A3))~

vs. N~~

be seen from our

scaling plots (see Figs. 4, 6),

this

extrapolation brings

up corrections which cannot be

neglected

in this case.

The value of

A~)~

indicates the

large

width of the distribution

function,

as the variance is about half the value of the first moment itself.

From the

positive

mean value of

53

we see that open SAWS are on average

prolate objects.

The relative variance of

53

of about 75~ indicates

again

a very broad distribution

function,

which will now be examined.

We calculated

histograms

for A3 and

53

from a

sample

of100000 chains of fixed

length

N = 140

(see Figs.

8,

9).

The distribution function of A3 for SAWS is even broader

compared

to the

non-interacting

case

(see Fig. I).

In addition the distribution is now

quite symmetric,

most

probable

value and mean value

being nearly equal.

(18)

N°12 UNIVERSAL SHAPE PROPERTIES OF POLYMER CHAINS 2259

o

~ o

(lS3))~°~~

~

~

o.oo o-lo o.20

j/-A

Fig.6.

Scaling plot of ((53))~°~~ vs. N~~

o.780

0.770 o

o ~

~(°C) ~

o o

°

0.760 O

o.oo o-lo 0.20

j/-~

Fig.7.

Scaling plot of

a(]~

=

@fi ((S())

((53))~ vs. N~~

The distribution function for

53, however,

is rather

unsymmetric

with a most

probable

value

of zero. The gross

shape

of the

histogram signals

that the vast

majority

of

configurations

has

prolate

asymmetry. It should be noted that the maximum of the distribution function at zero does not

imply

that these

configurations

have

spherical

symmetry.

3.2 RING POLYMERS.

3.2.I Model and method. In

analogy

to open chains we model

ring polymers

as

N-step

walks on a

simple

cubic lattice

adding

the obvious

requirement

that Ro

equals

RN-

By

that

means the ensemble of all

possible ring polymers

is a

special

subset of all

possible

open chains.

Using

the same notation as in section 3,I we are now in need of a

dynamical procedure,

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