\documentclass[twoside]{mhd}

\mhdhead{40}{1}{1}	

\title{Labyrinthine pattern formation in disordered system of the
magnetic fluid drops: numerical simulation}

\author{I. Dri\c{k}is\inst{1}\inst{,2}, J.-C. Bacri\inst{2},
 A. C\={e}bers\inst{1}}

\institute{ Institute of Physics, University of Latvia,
Salaspils-1, LV-2169, Latvia 
\and
Universit\'e Paris 7, Denis Diderot,
Unit\'e de Formation et de Recherche de Physique (case 70.08),
2 place Jussieu, 75251, Paris Cedex 05, France 
and\\
Laboratoire des Milieux D\'esordonn\'es et H\'et\'erog\`enes (case 78)
Universit\'e Paris 6, 4~place Jussieu, 75252 Paris Cedex 05, France} 

% ------------------------------------------------------------------------

\begin{document}
\maketitle

% ------------------------------ Abstract --------------------------------

\begin{abstract}
Development of the labyrinthine patterns arises in a wide variety of the
systems. Here the labyrinthine pattern formation is studied in the 
disordered system of the magnetic fluid drops. By the numerical simulation 
it is illustrated that in the present case labyrinthine pattern formation 
occurs due to the fingering instability of the separate droplets and mutual 
repulsion of the arising stripes. The structure factor of the highly 
disordered system of the magnetic fluid stripes is calculated, and it is 
shown that the characteristic distance between stripes coincides fairly 
well with the period of the equilibrium system of the infinite straight 
magnetic fluid stripes.
\end{abstract}

% --------------------------- Introduction --------------------------------

\section*{Introduction}

Formation of the labyrinthine patterns is common for the wide variety of 
the physical systems \cite{SeulAndelman:Science:95:267}. Here the 
labyrinthine pattern formed by the magnetic fluid in the plane 
layer under the action of the normal field is studied 
\cite{CebersMaiorov:MaGyd:80:1,Rosensweig:JMMM:83:39,Bacri:Recherche:87:192,%
LangerGoldsteinJackson:PhysRevA:92:46,Elias:PhysFrance:1997:7}.
At present moment several scenarios of the labyrinthine pattern formation 
and transformation are known - connected region division by the intruding 
magnetic fluid fingers \cite{CebersMaiorov:MaGyd:80:3}
(in the case of the labyrinthine patterns formed by the phase separated 
magnetic fluid stripe splitting leading to the formation of the hexagonal
array of the microdroplets is observed \cite{BacriSalin:JPhysLet:82}),
multiconnected 
labyrinthine pattern formation by fingering instability of the magnetic 
fluid droplets under their mutual repulsion 
\cite{BaryahtarKhizenkovDorman:Sverdlovsk:83,%
HongJangHorngHsuYaoYang:JApplPhys:97,JangHorngWuHongChiuoYang:Timisoara:98},
similar mechanism is observed also in amphiphile monolayers 
\cite{SeulSammon:PhysRevLett90,ToAkamatsuRonddelez:EurophysLett:21}, inertial 
regime of the multiconnected structure formation due to the collision of 
the magnetic fluid jets arising at the abrupt increase of the magnetic 
field strength \cite{MaiorovCebers:MaGyd:81:4}, due to the transformation 
of the regular pattern of the straight stripes to the labyrinthine one by 
the chevron instability \cite{Flament:EuroLett:96:34}. The last mechanism 
as shown in \cite{Seul:PhysRevLett:92,Seul:PhysRevA:92} can control also 
the labyrinthine pattern formation of the stripe domains in the thin films 
of the ferromagnetics. 
Structures similar to the labyrinthine structures of magnetic fluids
are observed also in  the magnetorheological suspensions 
\cite{Grasselli:Physique:94}. What is common 
between those patterns formed under quite different conditions remains 
rather unclear. Here we are studying by the numerical simulation 
technique the multiconnected labyrinthine pattern formation by the 
disordered set of the magnetic fluid droplets. The structure factor of 
the arising system is determined and it is found that the characteristic 
distance between the stripes of the highly disordered labyrinthine pattern 
coincides quite well with the period of the equilibrium structure of the 
infinite system of the straight magnetic fluid stripes. That gives the 
opportunity to obtain important physical information about the system 
also by the study of the rather irregular labyrinthine patterns.

% ---------------------------- Governing -------------------------------
\section{Governing equations}

The ferrofluid droplets are trapped between two parallel glass plates 
separated by distance $h$. The magnetic field is applied 
perpendicularly to the plates.
In the absence of an applied field, the equilibrium shape of the droplet is 
determined solely by the surface tension $\sigma$ and is clearly a circle. 
When the magnetic field is applied, the droplets exhibit fingering instability 
leading to the formation of labyrinthine pattern. The repulsive 
magnetostatic interactions between droplets there act as a source of initial 
perturbations. Beside them droplets exhibit a magnetostatic repulsion forces 
from each other that lead to the slow increase of the distance between 
droplets and expansion of the pattern. During this expansion process some of 
droplets reach the perimeter of Hele-Shaw cell and form magnetic fluid 
border around it. The repulsive border-droplet forces now stop the 
expansion and pattern can reach equilibrium state. 
In our numerical experiments circular Hele-Shaw cell is used which is 
surrounded by infinite continous layer of the magnetic fluid with the 
magnetization equal to the magnetization of the droplets. That layer is 
playing the role of the border.
The equations of motion of the magnetic fluid in Hele-Shaw cell 
neglecting wetting phenomena  is derived in \cite{Cebers:MaGyd:81:2}:

\begin{equation}
\alpha\bvec{v}+\bigtriangledown \left( p+p_m \right) = 0, \qquad
\alpha = \frac{12\eta}{h^2}, \qquad
\Div{\bvec{v}}=0,
						\label{Labyrinth:GovEq:1}
\end{equation}

\noindent where $p_m$~-~effective pressure due to the magnetic interaction 
forces. The pressure on the free boundaries of droplets $\Sigma_j$ is 
determined by Laplace law

\begin{equation}
\left. p\right|_{\Sigma_j} = \sigma k,
						\label{Labyrinth:GovEq:2}
\end{equation}

\noindent where $k$ - curvature of the interface. The dynamics of droplets 
can be treated as a hydrodynamicaly independent because the viscosity of 
surrounding liquid (air, water) is usually negligible. Droplets interact 
with each other only magnetically.

The magnetostatic interactions between droplets can be calculated under 
assumption of an uniform magnetization of the magnetic fluid domains

$$
\bvec{M}\left(\bvec{H}\right) = M\left(H_0\right)\bvec{e}_z,
$$
	 
\noindent but the magnetic field in the magnetic fluid is 
$\bvec{H}=H_0\bvec{e}_z+\bvec{H}_d$. Two different approaches can be used for 
calculation of  demagnetization field  $\bvec{H}_d$. In ``charge'' formulation
$\bvec{H}_d$ is created by fictious magnetic charges on the upper and lower 
boundaries of the plane layer formed by droplets. From the other point of
view - ``current'' formulation -  $\bvec{H}_d$  is created by azimuthal currents
along the free boundaries of droplets. Both approaches are equivalent 
\cite{JacksonGoldsteinCebers:PhysRevE:94:50}. The magnetic energy of the 
droplet in the ``current'' formulation is expressed as follows:

$$
E_m=2\pi M^2V-\oint d\bvec{l}\oint 
f\left(\frac{\left|\bvec{\rho}-\bvec{\rho}'\right|}{h}\right)\, d \bvec{l}', 
$$

\noindent where $f(\xi)=\ln\left(1+\sqrt{1+\xi^2}\right)-\ln\xi+
\xi-\sqrt{1+\xi^2}$. The magnetic pressure is calculated from the 
variation of the energy functional
 
$$
\delta E_m = -h \oint p_m \delta\zeta_n\,dl,
$$

\noindent where $\delta\zeta_n$ is the normal component of the Lagrange 
displacement, what neglecting not important in the present case constant 
gives \cite{Dicstein:Science:93:261}

\begin{equation}
p_m\left(\bvec{\rho}\right) = \frac{2M^2}{h}\sum\limits_j\oint\limits_{\Sigma_j}
\frac{\bvec{n}'\left(\bvec{\rho}-\bvec{\rho}'\right)}{\left|\bvec{\rho}-\bvec{\rho}'\right|}
\left(\sqrt{1+\frac{h^2}{\left|\bvec{\rho}-\bvec{\rho}'\right|^2}}-1\right)\, dl',
						\label{Labyrinth:GovEq:3}
\end{equation}

\noindent where $\bvec{n}'$ is the outward normal to the droplet $j$
interface $\Sigma_j$. 

On the basis of the energy calculation for a periodic magnetic liquid 
stripe pattern at its equilibrium state the period of the structure $l$ and 
width of the stripe $2d$ can be calculated \cite{Cebers:JMMM:95:149}. 
For fixed magnetic fluid volume fraction $\Phi=2d/l$ in the pattern the 
equilibrium period can be found from the equation

\begin{equation}
\frac{\pi^2 h^2}{l^2} = \frac{Bm}{2} \int\limits_0^{\pi h/l}
y \ln\left(1+\frac{\sin^2\pi\Phi}{\sinh^2 y}\right)\, dy,
						\label{Labyrinth:GovEq:4}
\end{equation}

\noindent where magnetic Bond number  $Bm=2M^2h/\sigma$ measures the 
ratio of the magnetic and capillary forces. Numerical values of the ratio
of the structure period $l$ to the thickness of the layer $h$ are presented
in the Fig.\ref{Labyrinth:Fig:StripeTrheory}.

For irregular labyrinthine patterns it is possible to measure some average 
width of magnetic fluid stripes and averaged distance between them. 
Characteristic period can be obtained by application of  2D Fourier 
transform. Theoretical results of course are absent due to the complexity
of pattern. We can make attempt to find out how close they are to the values 
determined by the relation for the structure period of the infinite system 
of the straight stripes given by Eq.~\ref{Labyrinth:GovEq:4}.

% ------------------------------ Numerical ----------------------------------

\section{Numerical methods}

Equations Eq.~\ref{Labyrinth:GovEq:1}-\ref{Labyrinth:GovEq:3} can be rewritten 
in dimensionless form introducing following scalings: for distance 
$L=1/5R$ where $R$ is the radius of the circular Hele-Shaw cell, for capillary 
pressure $p_0=\sigma/L$, and  time 
$\tau=\alpha L^3/\sigma$. As result dimensionless equations are as follows
($\tilde{h}=h/L$, $\tilde{k}=Lk$, tildes further are omitted)

$$
\bvec{v}=-\bigtriangledown \left( p+p_m \right), \qquad
\Div{\bvec{v}}=0, \qquad \left. p\right|_{\Sigma_j} = k
$$

\noindent and

\begin{equation}
p_m\left(\bvec{\rho}\right) = \frac{Bm}{h^2}\sum\limits_j\oint\limits_{\Sigma_j}
\frac{\bvec{n}'\left(\bvec{\rho}-\bvec{\rho}'\right)}{\left|\bvec{\rho}-\bvec{\rho}'\right|}
\left(\sqrt{1+\frac{h^2}{\left|\bvec{\rho}-\bvec{\rho}'\right|^2}}-1\right)\, dl'
						\label{Labyrinth:GovEq:6b}
\end{equation}	

The free interfaces of droplets $\Sigma_j$  are discretized into a set of 
marker points and the evolution of droplet shapes is associated with
the moving of these points. As a magnetic fluid droplets are treated as 
hydrodynamically independent, the evolution of every droplet is calculated 
by boundary integral equation technique \cite{CebersZemitis:MaGyd:83:19} with 
adaptive choice of number of marker points \cite{CebersDrikis:MaGyd:96:32}.
 
It is convenient to split the magnetostatic pressure term into three parts 
by appropriate choice of the integration contours in \ref{Labyrinth:GovEq:6b}

$$
\left. p_m\right|_{\Sigma_k} = p_m^k + p_m^o + p_m^b,
$$
	 
\noindent where $p_m^k$  is magnetostatic pressure created by droplet 
itself ($j=k$),  $ p_m^o$ - magnetostatic pressure created by other 
droplets ($j\ne k$),  $p_m^b$ - magnetostatic pressure created by the fluid 
layer that surrounds the Hele-Shaw cell. In our numerical calculations for
saving of the computer time  $ p_m^o$ and  $p_m^b$ are calculated only at
each 16-th time step or in the case when the number of markers in the 
contour $k$ changes.

Further the numerical algorithm used for the image analysis is described. If 
the characteristic function of the droplet $\chi(\bvec{\rho}-\bvec{\rho}_i)$  is 
introduced ( $\chi(\bvec{\rho}-\bvec{\rho}_i)=1$ if $\bvec{\rho}-\bvec{\rho}_i$ 
belongs to the droplet and $\chi(\bvec{\rho}-\bvec{\rho}_i)=0$  otherwise) then 
density of the system $\rho(\bvec{\rho})$ and its structure factor can be 
expressed  as follows

$$
\rho(\bvec{\rho})=\rho_0\sum\limits_{i=1}^N \chi(\bvec{\rho}-\bvec{\rho}_i)
$$
						
\noindent and
 
$$
\left\langle \left\vert\rho_{\bvec{k}}\right\vert^2 \right\rangle= 
\left(\rho_0\varphi\right)^2 \left\vert\chi_{\bvec{k}}\right\vert^2
\left\vert f_{\bvec{k}}\right\vert^2,
$$

\noindent where $\chi_{\bvec{k}}=\frac{1}{\Delta S}\int\chi(\bvec{\rho})
\exp\left(-i\bvec{k}\bvec{\rho}\right)\,d\bvec{\rho}$; $f_{\bvec{k}}=\frac{1}{N}
\sum_{j=1}^{N}\exp\left(-i\bvec{k}\bvec{\rho}_j\right)$ and 
$\rho_0$~-~density of the droplet, $\varphi=N\Delta S/S$~-~the volume
fraction of the droplets,  $S$~-~the area of the sample. Thus it follows 
that the maximum of the structure factor can arise from two reasons - 
from the one side due to the structure factor of the single droplet, from 
the other side due to the arising correlations between the droplets at the 
development of the labyrinthine pattern. The last reason is prevailing
if the pattern is well developed.

    To obtain the structure factor of the labyrinthine pattern, a square 
domain with the center at the center of the Hele -Shaw cell is chosen. 
The domain is digitized to 2D pixel array $a_{j,k}$ with dimensions 
$N\times N$. $a_{j,k}=1$ if the pixel contains magnetic fluid and $a_{j,k}=0$
otherwise. The mean volume fraction of the magnetic fluid in square 
domain can be calculated as follows

$$
\Phi_{box}=\frac{1}{N^2}\sum\limits_{j,k=-\frac{N}{2}}^{\frac{N}{2}-1}a_{j,k}
$$

To make 2D function defined by the pixel array periodic and with zero 
mean simplest window function 
$\cos\frac{\pi x}{L_{box}}\cos\frac{\pi y}{L_{box}}$  ($L_{box}$~-~dimension 
of the square domain) is used and pixel array is transformed as follows
 
$$
\tilde{a}_{j,k} = \left( a_{j,k}-\bar{a} \right)
\cos\frac{\pi j}{N}\cos\frac{\pi k}{N},
$$

\noindent where

$$
\bar{a} = \tan^2\frac{\pi}{2N}\,\sum\limits_{j,k=-\frac{N}{2}}^{\frac{N}{2}-1}
a_{j,k}\cos\frac{\pi j}{N}\cos\frac{\pi k}{N}
$$

Discrete Fourier transform to the array $\tilde{a}_{j,k}$ is applied
 
$$
c_{j,k}=\sum\limits_{p,q=-\frac{N}{2}}^{\frac{N}{2}-1}
\tilde{a}_{p,q}\exp\left(-\frac{2\pi i j p}{N}\right)
\exp\left(-\frac{2\pi i k q}{N}\right)
$$

\noindent and the structure factor $\left\vert c_{j,k}\right\vert^2$  
is determined. To obtain the structure factor of the real patterns obtained 
by the numerical simulation the averaging with respect to two 
parameters~-~parameter $s$ determining the size of the square domain and 
parameter $\beta$  determining its orientation angle is carried out. Value of 
the parameter $s$  equal to 1 corresponds to the case when a square domain 
just reach the boundary of the Hele-Shaw cell. Numerical tests have indicated 
that the calculated value of the labyrinthine pattern period $l$ 
slightly depends on the size parameter $s$ in rather complicated way. 
Besides that for the patterns with small values of $\Phi$ and patterns 
in their initial stage of development $l$  slightly depends on 
the parameter $\beta$. Due to this $l$ is determined after the 
averaging of the results with respect to 6 different runs with 
$s=0.8, 0.9, 1$ and  $\beta=0^0, 45^0$. Illustrating example is given 
in Fig.~\ref{Labirinti:Fig:Metode}. 
Each column in this figure corresponds to the different pair of the 
parameters. The density plot of the absolute values of Fourier amplitudes 
$\left\vert c_{j,k}\right\vert$  produces ring (row 3 in the 
Fig.~\ref{Labirinti:Fig:Metode}) which indicates about the existence 
of some structure period and the rotational isotropy of the labyrinthine 
patterns. The radial distribution of the Fourier amplitudes 
$\left\vert c_{j,k}\right\vert^2$ is determined according to the 
formula:
 
$$
|c|^2(l) = |c|_F^2\left(\frac{\sqrt{2}sR}{l}\right), \qquad
|c|_F^2(m) = \max_{\sqrt{j^2+k^2}\in [m-0.5,m+0.5[}
|c_{j,k}|^2
$$

 The maximum of the averaged radial distribution gives the characteristic 
distance of the pattern which as we will show further at enough strong 
correlation between droplets coincides with the distance between the 
stripes in the labyrinthine pattern. 

% ------------------------------ Discussions ---------------------------------

\section{Numerical results of the labyrinthine pattern formation}


Using boundary integral equation method the numerical simulations  
of the development of the 
labyrinthine patterns from the discrete array of the droplets is carried 
out. As initial condition the array of the randomly distributed circular 
magnetic fluid droplets with random sizes is chosen. When magnetic field 
is applied the droplets with enough big volume (depending on $h$ and $Bm$) 
start to deform. This distortion is governed by the magnetostatic 
dipole~-~dipole interactions. It should be emphasized that there are not other 
sources of the distortion in comparison with the former numerical 
experiments with separate droplets 
\cite{LangerGoldsteinJackson:PhysRevA:92:46,%
JacksonGoldsteinCebers:PhysRevE:94:50,CebersZemitis:MaGyd:83:19,%
CebersDrikis:MaGyd:96:32} 
where initial perturbations since the influence 
of the numerical noise is negligibly small is always set artificially. 
As an illustrative example the development of the labyrinthine patterns 
for  $\Phi_{cell}=0.4$, $h=0.1$ and $Bm=1.9$ is presented in  
Fig.~\ref{Labirinti:Fig:DevExample}.  Here are several issues which should 
be remarked concerning the observed labyrinthine pattern formation. 
At first let us draw attention to the fact that the labyrinthine patterns 
obtained are slightly nonuniform - magnetic fluid volume fraction is 
slightly higher at the center of the Hele-Shaw cell and less near the 
border as it is illustrated in Fig.~\ref{Labyrinth:Fig:Sadal} where 
coarse-grained magnetic fluid volume fraction distributions defined as
 
\begin{equation}
\phi(m) = \frac{\sum\limits_{\sqrt{j^2+k^2} \in [m-0.5,m+0.5[}a_{j,k}}
{\sum\limits_{\sqrt{j^2+k^2}\in [m-0.5,m+0.5[}1}
					\label{Labyrinth:EQ:11}
\end{equation}

\noindent and

\begin{equation}
\Phi(m) = \frac{\sum\limits_{\sqrt{j^2+k^2} < m}a_{j,k}}
{\sum\limits_{\sqrt{j^2+k^2} < m}1}
					\label{Labyrinth:EQ:12}
\end{equation}
 
\noindent are shown. Slight increase of the volume fraction in the center is 
connected with the repulsion from the border which in the present case 
is taken as infinite magnetic fluid layer surrounding the circular Hele-
Shaw cell. It can be pointed out that some other model of the border can 
slightly change this conclusion. As other possible border models we can 
indicate the model as infinite layer with magnetization equal to the mean 
magnetization of the circular Hele-Shaw cell $\Phi M$ or the model of the 
border as stripe with the width equal to the equilibrium width of the 
stripe pattern.

The period of the developed stripe pattern can be also estimated from 
the graph of the coarse-grained density $\Phi(m)$ shown in 
Fig.~\ref{Labyrinth:Fig:Sadal}. $8$ maximums seen in 
Fig.~\ref{Labyrinth:Fig:Sadal} for coarse-grained density correspond to the 
structure period  $l/h=2.1$. It agrees fairly well with the theoretical 
value calculated for given volume fraction of the magnetic fluid 
$\Phi_{cell}$ in the frame of the model of the infinite straight stripes
$l/h=2.3$ and also with the value obtained with the corresponding 
error bar from the numerically calculated structure factor 
$l/h=1.8\ldots 2.7$.

During the development of the labyrinthine pattern several interesting 
processes are observed which could be mentioned. The tendency of 
the nonmagnetic phase to the formation of the 3-fold equilibrium vertex 
seen in the upper row in Fig.~\ref{Labirinti:Fig:DetExample} looks like 
as ``attraction''  of the repulsing magnetic fluid fingers. During the 
droplet fingering phase of the formation of the labyrinthine pattern as 
we can see from Fig.~\ref{Labirinti:Fig:DetExample}(b) and (c) the 
splitting of the metastable 4-fold and higher order vertices 
occurs. It should be mentioned that the well developed Steiner tree phase 
as for single droplet \cite{CebersDrikis:MaGyd:96:32} there is not observed 
due to the limited space in 
the labyrinth. It is curious to mention that for the stripes of the 
nonmagnetic phase between the magnetic fluid droplets the development 
of the overextension instability can be well registered. At the later stages 
the development of the overextension instability is nonlineary suppressed 
due to the 4-fold vertex splitting event as can be seen from 4 and 5 row 
in Fig.~\ref{Labirinti:Fig:DetExample}. During the labyrinthine pattern 
formation the development of the hairpins of the magnetic fluid stripes is
remarked as well (lower row in Fig.~\ref{Labirinti:Fig:DetExample}). Their
formation can be understood as the defect transformation of the stripe 
pattern \cite{CebersDrikis:FBP}.


The most important issue which can be studied by the present 
numerical simulation of the labyrinthine patterns concerns the period of 
the structure as obtained from the calculated structure factor. 
Labyrinthine structures are generated from random set of circular
droplets with random sizes at abrupt application of magnetic field.
In that case opposite to the case when magnetic field is increased
slowly multibranched configurations of the droplets are developed. 
For structures obtained in such way
the dependence of the distance determined by the wavenumber at which the 
structure factor (Fig.~\ref{Labirinti:Fig:PeriodDin}(c)) has maximum 
on the time of the development of the labyrinthine pattern 
(Fig.~\ref{Labirinti:Fig:PeriodDin}(a)) is shown in 
Fig.~\ref{Labirinti:Fig:PeriodDin}(b). Initial values of $l/h$
evidently correspond to the structure factor of the separate droplet 
but at later times to the distance between stripes. 
The period of lattice that corresponds
to the maximum of $\left|f_k\right|^2$ is determined according to the same
algorithm, when the lattice represents small circles that are placed at the 
mass centers of the droplets.
The later as 
can be seen from Fig.~\ref{Labirinti:Fig:PeriodDin}(b) corresponds quite 
well to the theoretically calculated at the given parameters 
$Bm$, $h$, $\Phi_{cell}$ for the model of the infinite system of the straight 
stripes. The comparison of the labyrinthine structure period obtained by 
the numerical simulation with the theoretically calculated for the 
different magnetic Bond numbers is given in 
Fig.~\ref{Labirinti:Fig:CompPeriod}. An example of the 
equilibrium labyrinthine pattern sequence in dependence on magnetic 
Bond number used to obtain the data shown in 
Fig.~\ref{Labirinti:Fig:CompPeriod}(b) is given by 
Fig.~\ref{Labirinti:Fig:EqPattC}. It should be remarked that the time
dependence and the topological appearance of the labyrinthine patterns
depends on the rate of the magnetic field increase as it is illustrated
by Fig.~\ref{Labirinti:Fig:EqPatt2} - in the case when field is increased
slowly during the evolution of the labyrinthine pattern the structure obtained
is less branched and better ordered. It is quite natural since during the slow
evolution of the labyrinthine pattern it is in fact only first instability
mode of the droplet leading to the elongated stripe shape which develops.

Concerning the data in 
Fig.~\ref{Labirinti:Fig:CompPeriod} it should be mentioned also that the 
value of the period obtained from the maximum of the structure factor 
coincides quite well with the value obtained in so called ``box'' 
approximation. According to that approximation the width and the length 
of the box having the same perimeter and area ($L_j,S_j$)  as a droplet are 
calculated  according to the equations

$$
x_j^W \cdot x_j^L = S_j, \qquad  x_j^W + x_j^L = \frac{L_j}{2}
$$

For long droplets ($x_j^W \ll x_j^L$) that gives the simplified expression
 
$$
2d=\frac{2S_j}{L_j}
$$

By average stripe width in the ``box'' approximation we understand the 
mean for pattern value of the box width

$$
\overline{2d}_{box}=\frac{1}{n}\sum\limits_{j=1}^{n}x_j^W
$$

The value of the period according to this approximation if the volume 
fraction of the pattern is known can be obtained as
 
\begin{equation}
l = \frac{\overline{2d}_{box}}{\Phi}
						\label{Labyrinth:GovEq:7}
\end{equation}

From Fig.~\ref{Labirinti:Fig:CompPeriod} it can be seen that the value 
obtained in the ``box'' approximation coincides quite well with the value 
given by the maximum of the structure period. That confirms the fact that 
the maximum of the structure factor at the late stages of the labyrinthine 
pattern formation is determined by the distance between 
stripes.

% ------------------------------ Conclusions ---------------------------------

\section{Conclusions}
\begin{itemize}
\item The distribution of the magnetic fluid volume density according to
the model of repulsive Hele-Shaw cell border as infinite magnetic fluid layer 
is slightly nonuniform with the higher magnetic fluid 
volume fraction in the centre of the Hele-Shaw cell;
\item The development of the random array of the droplets into the 
labyrinth is similar to the development of single droplet. Both 
exhibit the same stages of development including vertex splitting events;
\item The channels between the droplets similar to the magnetic fluid stripes 
exhibit nonlinearly suppressed overextension instability what leads to the 
formation of 4-fold vertex subsequently splitting to two 3-fold vertices;
\item The value of the period of the irregular labyrinthine pattern at its 
equilibrium state corresponds very well at the given magnetic Bond number 
and volume fraction of magnetic liquid  to the period value calculated for 
the infinite system of straight stripes.
\end{itemize}

% ------------------------------------ Acck --------------------------------
\section*{Acknowledgements}

This work is partly supported by Ministere de l'education nationale,
de la recherche et de la technologie (reseau formation recherche pays
Europe Centrale et Orientale (Nr 95 P 0057)).

We would like to express our gratitude to thank Dr. L.~Buligins for 
providing computer time at the Center of Computational Technologies
of the Department of Physics, University of Latvia.

% ------------------------------------ Bib --------------------------------

% \bibliographystyle{mhd}
% \bibliography{thesis}

\newcommand{\noopsort}[1]{}
\begin{thebibliography}{10}

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\clearpage

% ------------------------------ Figures  ------------------------------------

\begin{figure}
\caption[SmecticTheory]{The equilibrium period  of magnetic
 fluid stripe patterns for different magnetic Bond numbers $Bm$
and magnetic fluid volume fractions $\Phi$ calculated according to the 
\protect\ref{Labyrinth:GovEq:4}. }
\label{Labyrinth:Fig:StripeTrheory}
\end{figure}

% ------------------------------------

\begin{figure}
\caption{The algorithm of the determination of the characteristic period of 
labyrinthine structure given in the upper row. The parameters are 
$\Phi_{cell}=0.4$, $h=0.25$ and $Bm=5.5$. Selected square domains 
($\Phi_{box}=0.47$) are in the second row 
and corresponding Fourier amplitudes in the third. In the figure at bottom
radial distributions of the Fourier amplitudes and averaged curve are 
displayed. The columns correspond to the pair of parameters 
($s=1,\beta=45^0$), ($s=0.8,\beta=0^0$) and ($s=0.8,\beta=45^0$)
that determine the size of the square domain and its orientation 
angle.}
\label{Labirinti:Fig:Metode}
\end{figure}

% ---------------------------------------

\begin{figure}
\caption{Development of labyrinthine patterns for 
$\Phi_{cell}=0.4$, $h=0.1$ and $Bm=1.9$.}
\label{Labirinti:Fig:DevExample}
\end{figure}

% ----------------------------------------

\begin{figure}
\caption{ Magnetic fluid volume density radial distribution $\Phi(r)$ 
and the density of magnetic fluid volume density $\phi(r)$ for equilibrium
pattern obtained for $\Phi_{cell}=0.3$, $Bm= 6$, $h=0.25$. The relation
between abscissa and arguments of Eq.~\protect\ref{Labyrinth:EQ:11} and 
\protect\ref{Labyrinth:EQ:12} is $r=2mR/N$. }
\label{Labyrinth:Fig:Sadal}
\end{figure}

% ----------------------------------------

\begin{figure}
\caption{Development of labyrinthine patterns. The attraction of magnetic
fluid fingers in (a) for $\Phi_{cell}=0.3$, $h=0.25$, $Bm=4.5$. Splitting
of 4-fold  vertices in (b,c) for $\Phi_{cell}=0.4$, $h=0.1$, $Bm=1.9$ and
$\Phi_{cell}=0.5$, $h=0.25$, $Bm=6.5$. The development of the overextension 
instability of the channels between droplets in (d,e) for
$\Phi_{cell}=0.4$, $h=0.25$, $Bm=4$ and $\Phi_{cell}=0.4$, $h=0.1$, $Bm=2$.
The defect transformation in the stripe pattern (f). $Bm$ varies step-like with
increment $0.5$ from $4.5$ in the first figure till $8$ in the last. }
\label{Labirinti:Fig:DetExample}
\end{figure}

% ---------------------------------------

\begin{figure}
\caption{Numerical simulations of the dynamic of magnetic fluid labyrinthine
pattern for  $Bm=4.5$, $h=0.25$, $\Phi_{cell}=0.30$: transient shapes of 
labyrinthine pattern (a), characteristic period of pattern, estimated 
value of the period (\protect\ref{Labyrinth:GovEq:7}) and the 
period of lattice (maximum of $\left|f_k\right|^2$) (b), and radial
distribution of Fourier amplitudes (c). }
\label{Labirinti:Fig:PeriodDin}
\end{figure}

% -------------------------------

\begin{figure}
\caption{The calculated values of labyrinthine pattern equilibrium period 
versus the theoretical values for magnetic liquid stripe pattern. There
parameters are $\Phi_{cell}=0.2$ and $h=0.25$ (a),
$\Phi_{cell}=0.3$ and $h=0.25$ (b), $\Phi_{cell}=0.4$ and $h=0.25$ (c),
$\Phi_{cell}=0.5$ and $h=0.25$ (d), $\Phi_{cell}=0.4$ and $h=0.1$ (e),
$\Phi_{cell}=0.4$ and $h=0.5$ (f). }
\label{Labirinti:Fig:CompPeriod}
\end{figure}

% --------------------------------------------

\begin{figure}
\caption{Equilibrium labyrinthine patterns calculated numerically 
for $\Phi_{cell}=0.3$ and $h=0.25$ for different magnetic Bond 
numbers. The length of the line in the right bottom 
corner of each figure corresponds to the calculated value of the 
structure period. }
\label{Labirinti:Fig:EqPattC}
\end{figure}

% -------------------------------------------

\begin{figure}
\caption{Labyrinthine patterns calculated numerically 
for $\Phi_{cell}=0.3$ and $h=0.25$. Magnetic field increases step-like
during the calculation. The length of the line in the right bottom corner
of each figure corresponds to the calculated value of the structure period. }
\label{Labirinti:Fig:EqPatt2}
\end{figure}

% ------------------------------------------------------------------------

\lastpageno
\end{document}











