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Aboav’s law for an assembly of discs of différent sizes

N. Rivier

To cite this version:

N. Rivier. Aboav’s law for an assembly of discs of différent sizes. Journal de Physique I, EDP Sciences,

1994, 4 (1), pp.127-131. �10.1051/jp1:1994125�. �jpa-00246883�

(2)

Classification Physics Abstracts

05.40 05.90 64.60C 64.90

Aboav's law for

an

assembly of discs of different sizes

N. Rivier

(*)

Blackett

Laboratory, Impenal College,

London SW7 2BZ, G-B-

(Received 29

September

1993, accepted 8 October

1993)

Résumé. Les mousses foumies par des

empilements

de

disques

de différentes tailles ont une

relation d'Aboav (entre le nombre total de côtés des voisins d'une cellule à n côtés et ni en femme de S, alors

qu'elle

est linéaire en n dans les mousses

engendrées

par des germes identiques ou dans les

mousses naturelles. On montre que cette loi en S est le résultat de maximiser

l'entropie,

et une

mesure de la

dispersion

des tailles.

Abstract.-Polydisperse

froths obtained from assemblies of different size discs exhibit an S- shaped Aboav's relation (between trie total number of sides of trie

neighbours

to an n-sides cell, and n), rather than the hnear relation round in monodisperse or natural froths. One show that

thi§

S-

shape

is a result of maximum entropy mference, and a signature of

polydispersity.

In a recent paper, Annic,

Troadec, Gervois, Lemaitre,

Ammi and

Oger [Il

have studied

two-dimensional random mosaics or froths obtained

by

radical tessellation

(a generalization

of Voronoi's to discs of different

sizes)

of

packings

of discs with two or many different sizes.

These

polydisperse packings

are in statistical

equilibrium,

but their

equatiqns

of state do net bave trie

simple,

linear

dependence

round in random frottis.

Equations

of state m frottis

[2]

are

Lewis's law, a relation between average area of an n-sided cell and n, and

topological

correlations such as Aboav's law

(or Aboav-Weaire's),

which relates the total number of sides of

neighbours

to an n-sided

cell, nm(n)

to n, and a more detailed set of correlations between

neighbouring

n- and k-sided cells

[3].

The average

topology

of a cell is a numerical constant

in)

=

6 in random

(3-valent)

froths

[2].

These

equations

of state are characteristics of froths

as a statistical ensemble.

Annic et ai. obtain

non-linear, S-shaped

Aboav

([Il, Fig. 3)

and Lewis's

([Il, Fig. 5)

relations m

bi-disperse packings.

For

polydisperse packings,

Aboav's law

([ Il, Fig. 7)

shows a

slight,

convex curvature or an

inkling

of an

S-shape

; Lewis's

plot

is

always S-shaped ([ ii,

Fig. 9),

albeit less

markedly

than in

bidisperse packings

where it is almost a kink at

n =

6. These deviations are not due to poor

statistics,

and statistical

equilibrium

has been reached and maintained

by

constant motion of trie discs on an air table

[4].

On the other

hand,

(*) Permanent address Laboratoire de

Physique

Théorique, Université Louis Pasteur, 3, rue de 1Université, F60874

Strasbourg,

France.

(3)

128 JOURNAL DE

PHYSIQUE

I N°

trie

(maximum entropy)

arguments

leading

to linear relations are

solid,

and have been hitherto well

supported experimentally (exceptions confirming

the

rule).

So what is

going

on ? This

note will

show, by applying

the traditional maximum entropy inference to

polydisperse

mosaics, that the

S-shape

discovered

by

Annic et ai.

Il

is a result of

polydispersity,

and its signature.

Peshin et ai.

[3]

have shown

that,

for «

totally

random »

(1.e. monodisperse) mosaics,

Aboav's law is a consequence of maximum entropy inference. In

monodisperse

mosaics, the

total number of sides of

neighbours

to an n-sided cell,

nm(n),

increases

linearly

with

n

nm(n)= (6-a)n+6a+p2, (1)

p2 is the variance of the

shape

distribution

Il.J,

eq.

(l ).

In this note, Aboav's law for bi- and

polydisperse

mosaics is derived from the same maximum entropy inference. The

S-shaped

relation between

nm~~P(n)

and n, observed

experimentally

for

bi-disperse

mosaics and discs with two sizes, is recovered.

Maximum entropy inference is based on the fact that a random mosaic takes the

configuration

realizable

by

the

largest

number D of

microscopic,

local

arrangements

of cells, which is the

configuration

of maximum entropy S

=

Inn,

subject

to constraints.

(Here,

S and the

Lagrange multipliers

are taken as

dimensionless).

In

thermodynamics,

ehmination of

a constraint increases the entropy.

Here,

if one constraint can be made to

duplicate

others, it is

effectively

redundant. A mosaic with local arrangements

duplicating

one constraint has

larger

entropy and is much more

probable

than any other mosaic without

duplication.

The condition of

redundancy

is Aboav's relation

(or

Lewis's law in the case of

size-shape correlations) [3, 5].

For

topological correlations,

one introduces the correlator

M~~(nfl) [3]. M~~(nfl )

is the

number of k-sided cells associated with a disc of size p,

neighbounng

an n-sided cell

associated with a disc of size

fl (nfl-cell

for

short).

It is a conditional

probability,

so

thàt Mka(nfl

p~p is

proportional

to the

probability

that an interface separates a ka-cell from an

np-cell [5].

p~p is the

probability

of

finding

an

nfl-cell

in the mosaic.

M~~ (nfl

satisfies two

identities,

3~~ M~~ (nfl

= n for ail

p

,

(2)

since an n-sided cell of any size has

n

neighbours,

and

Mka (~ô

Pnfl

"

Mnfl

(ktY pka

,

(3 by

obvious

symmetry

of the interface between ka- and

np-cells. Apart

from these two

identities,

the functional

dependence

of

M~~(np

on

k,

n, a and

p

is unknown. Aboav's relation is that

particular

functional

dependence

which makes a constraint redundant. It is

therefore an inference of maximum entropy.

The constraints are the same as m the random mosaic or

monodisperse

disc

assembly,

except that the normalization has to be made

separately

for each disc size

p,

if one

operates

at fixed

concentration cp of each

species. They

are,

3~

p~p

= cp

(normahzation) (4)

3np

npnp =

6

(topology) (5)

3np M,~ (np

pnp

=

kp~~ (counting

the

edges

of a ka -cell

from the outside and from

within) (6)

If the last set of constraints are linear combinations of the first two,

Mk~ (nô )

= ak~,

p +

nbk~ (7)

(4)

they

are redundant and the random mosaic is

overwhelmingly

more

probable. Equation (7) gives

therefore

topological

correlations between

neighbouring

cells m mufti-sized mosaics and discs assemblies which are

random,

realizations of a statistical ensemble of maximum entropy.

Note that the terni linear in n is

independent

of

p.

This comes from the fact that the

topological

constraint

in)

=

6

only

hoids for the mosaic as a whoie. The individuai

in )

~ =

3n np~p/cp (where p~p/cp

is the number of

np-cens

divided

by

the total number of

p-ceiis)

are

arbitrary

and not constrained. The coefficients are reiated

through kp~~

=

3p

cp a~~

p + 6

b~~ (8)

Symmetry (3) imposes

that

M~~(np)

is

proportionai

to p~~, and biiinear in n and k. In

fact, equations (2-8)

are summarized in the

generai

relation

M~~(np)=

p~~

((n-6)ce(k-6)+p~(n-6)+pp(k-6)+ y~~p~) (9)

where ~r, p~ and the

symmetricai

y~~pj = yp~ are structurai

coefficients, independent

of the ceii

shapes

n and k.

(They

are

Lagrange muitipiiers reiating

the

constraints).

The iast two are

restricted

by

the

relations,

~Î~ C~ p~ = Î

(ÎÙ)

~a

~a l'(nfl)

~

~'

(~

~)

[For

one

singie species

of

discs, they

are numbers : p

= 1, y = 6. If ci = c~, as in

figures

2-5

of reference

Ill,

there are two

independent

parameters p and y, with pi = p, p~ =

2 p,

Yii ~ Y22 " Y, Y12 " Y21 ~

l~

Y.l

One must

emphasize

that the form of

equation (9), specificaiiy

its

hnearity

m n and the

mdependence

on

p

of the first two ternis of

(9)

and of the second terni in

(7),

is a necessary consequence of maximum entropy with the

inescapabie,

mathematicai constraints

(4-6).

If one observes deviations from

iinearity

m n for

M~(n

which are not

statisticaiiy insignificant

events

due to

disappear

with better statistics or with time

(since M~(n )

must be

positive,

no tires with

n such that trie

extrapolation

of

M~(n )

in

(9)

is

negative

shouid appear m statisticai

equihbrium,

and one

singie

tire

aiready sports

the

iinearity),

this is either because (1) the froth is not in statisticai

equiiibrium,

or

(ii)

trie effect of an additionai

constraint,

or it indicates

(iii)

the presence of correiations

beyond

nearest

neighbours.

Aitemative

(iii)

is

aimqst certainiy what happens

m the statisticai modei of Le Caër and

Deiannay [6, 7],

which shows

M~(n ) deviating considerabiy

from

Îinearity.

Their modei iifts the

degeneracy

of the vertices of a

reguiar

iattice at

random,

and these vertices

gather

ceiis which are not ail nearest

neighbours

as

they

do not share an interface. Correiations

beyond

nearest

neighbours (iii)

may aiso be the resuit of steric exclusion m the

triangular

cerfs of the

concentrated, monodisperse

discs assembiies of Gervois et ai.

[8], aithough they

aiso suggest

an additionai constraint in 1In

(ii)

as the cause of the

non-iinearity

of Lewis's iaw which

they

observe.

We are interested in

nm(n, p )

=

3~~ kM~~ (np ),

which is n times the average

shape

of the

lieighbours (of arbitrary species

a to an

np-ceii,

or the total number of sides of ail

neighbours

to an

np-ceii,

nm(n, ~ )

=

(n

6

) (p2

~ +

~a

C~

(k)

~

p~ +

(p2

Pff +

~a

Ca

(~)

a

Y(afl)1 (12) )

This is Aboav's relation for

species p.

It is iinear in n. The

siope (6 -a)

=

[p~~r+3~c~ik) p~]

is

independent

of the

species,

but the

iitercept Xp=

(5)

130 JOURNAL DE PHYSIQUE I N°

[p~

p

p +

3~

c~

ik)

~

y~~

p~] depends

on

fl,

as found

experimentaiiy Ii ].

p~ is the variance of the

shape

distribution for the whoie

mosaic,

p~

=

3~~ p~~(n -6)~.

There is

an

identity 3~

c~

X~

= p~ +

36, independentiy

of the structurai parameters.

From now on, we shah consider two

species

of

discs, p

= 1,

2,

with

denoting

the

iarger

size.

Cieariy, in )

~

in )

~.

Less

cieariy, Xi

~

X~,

since a

iarger

6-sided ceii wiii have a

iarger

penmeter to accommodate 6 discs with a

iarger

number of sides than those around a 6-ceii

generated by

a smaiier disc.

(Xi

~

X~

wouid indicate a strong

tendency

for

langer

discs to be surrounded aimost

exciusiveiy by

smaiier discs with

in )

~,

whereas a smaii disc with the same

n has more

iarger

ones as

neighbours.

It is indeed the case if ci « c~, and if the two

species

of discs have very different

radii.) Aiso,

q~i is the

oniy

parameter of the

partition

between disc sizes, since q~~ = q~j. Generaiization to a

poiydisperse assembiy

of discs iike that studied

m the iast section of reference

Ill,

is

straightforward.

The

S-shaped

curve of

figure

3 of reference

Ii ], nm~~P(n ),

is the

plot

of n times the average

shape

of

neighbours

to any n-ceii,

regardiess

of the size of the disc generating it. For every value of n, the iinear nm(n, p is

weighted by

q~p = p~p/~~Y~j +

pn2],

with

3p

q~p

=

(13)

q~j increases

monotomcaiiy

with n, as the

proportion

of ceiis

generated by iarger

discs

increases with

increasing

n. If the

shape

distribution p~ =

3~

p~~ is bimodai, q~j increases

sharpiy

with n between two

plateaux,

from 0 at

n w 4 to for n m 7, say. If p~ has one

singie maximum,

the increase is much smoother, the iower

plateau

at n = 3 may not be reached and the

higher

one

oniy asymptoticaiiy.

So,

Aboav's iaw for ail

species

is

given by nm~~~(n)

=

zp

qnfl ~'~~

(~, ô

"

(6 ~) (~ 6)

+ ~nl

Xl

+

(1

~nl

) X2 (14)

It is non-hnear since q~j is non-iinear in n. It has the

S-shape

obtained

experimentaiiy

in

figure

3 of reference

Ill,

where the common

siope (6

a

=

[p2

~r +

3~

c~

ik)

~

p~ is

cieariy noticeabie,

as is the

rapid

transition between smaiier and

iarger

disc

populations.

Even for the

poiydisperse assembiy,

the

shght,

convex deviation from

iinearity ([1], Fig. 7)

is the

resuit of

this,

now smooth transition,

parametrized by 3~p~~~~jj~~~~q~p,

which

replaces

q~i in

poiydisperse

assembiies. The iower value is never reached

(there

are 3-sided ceiis

generated by

other than the smaiiest

discs),

and one

begins

to see that the upper

plateau

wiii be

reached

asymptoticaiiy.

One

anticipates

simiiar non-iinear behaviour for the average size of a

n-ceii,

A~

(Lewis's iaw),

with the

non-iinearity

controiied

by

the

partition

q~j, since Lewis's iaw is aise the consequence of

dupiicating

constraints

(in

this case, the total area of the mosaic, with

(4)

and

(5)).

The

partition

q~j

(3~p

~ ~~~jj~~~~q~p m

poiydisperse assembiies)

can

easiiy

be extracted from

the data :

subtracting

the contribution of smaiiest discs nm

(n,

2

)

from the

expenmentai

Aboav

plot nm~~P(n ), yieids

:

qui "

inm~~P(n)

nm

(n,

2

il iXj X21 (15)

It is

monotonicaiiy mcreasing

with n, between 0 and i if the

shape

distribution is bimodai.

The

non-iinearity

of Aboav's

plot

indicates the

species dependence

of the structurai parameters p~ and y~~py The same

procedure gives 3~p~~~~jj~~jjq~p[Xp

X~~~jj~~~] m

polydisperse

assemblies.

For any

binary assembly,

the

easily

observable features of Aboav's

plot,

its

slope

(6)

(6-

ai and

[Xi -X2]

are

expressed

m terms of ci, of the structural parameters ce, p, y, and the

experimental

measure of the

dispersion

A

=

in) in)

~. If ci = c2 = 1/2,

(6-a)=

p20e

+6+A(p -1)/2

Xi -X2

=

2

p2(p -1)

+

(y 6)

A.

(16)

The dense

binary assembly

studied in reference

il (Figs.

2,

3),

ci

= c~, with

packing

fraction C

=

0.73,

has

in)

= 7.09,

(n )~

=

4.91,

and p~ =

0.77

(J.

P. Troadec,

private

communi-

cation).

One would require an additional

observation,

such as the width of the

kink,

to

determine the three structural parameters.

By

contrast, a

monodisperse

mosaic has one

surgie

structural parameter ce,

fully

determined

by

the

slope

of the linear Aboav

plot.

Acknowledgments.

The author is

grateful

to the Rennes group for

sending

him their paper

Il

pnor to

publication.

He is

especially

indebted to A. Gervois for

msisting

as

early

as m 1990 that Aboav's law was not

always

linear.

References

[Ii Annic C., Troadec J. P., GervoisA., LemaitreJ., Ammim. and OgerL., J. Phys. I France 4

(preceding article).

[2] Weaire D, and Rivier N.,

Contemp. Phys.

25 (1984) 59.

[3] Peshkin M. A.,

Strandburg

K. J, and Rimer N., Phys. Rev. Lett. 67 (1991) 1803.

[4] Lemaitre J., Gervois A., Peerhossami H., Bideau D. and Troadec J. P., J. Phys. D

:

Appl. Phys.

23 (1990) 1396.

[5] Rimer N., Disorder and Granular Media, D. Bideau and A. Hansen Eds. (Elsevier, 1993) ch. III.

[6] Le Caër G. and

Delannay

R., J.

Phys.

A 26 (1993) 3931.

[7] Delannay R., Le Caër G, and Khatum M., J. Phys. A 25 (1992) 6193.

[8] Gervois A., Troadec J. P. and Lemaitre J., J. Phys. A 25 (1992) 6169.

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