183 research outputs found
Large amplitude behavior of the Grinfeld instability: a variational approach
In previous work, we have performed amplitude expansions of the continuum
equations for the Grinfeld instability and carried them to high orders.
Nevertheless, the approach turned out to be restricted to relatively small
amplitudes. In this article, we use a variational approach in terms of
multi-cycloid curves instead. Besides its higher precision at given order, the
method has the advantages of giving a transparent physical meaning to the
appearance of cusp singularities and of not being restricted to interfaces
representable as single-valued functions. Using a single cycloid as ansatz
function, the entire calculation can be performed analytically, which gives a
good qualitative overview of the system. Taking into account several but few
cycloid modes, we obtain remarkably good quantitative agreement with previous
numerical calculations. With a few more modes taken into consideration, we
improve on the accuracy of those calculations. Our approach extends them to
situations involving gravity effects. Results on the shape of steady-state
solutions are presented at both large stresses and amplitudes. In addition,
their stability is investigated.Comment: subm. to EPJ
Vesicle propulsion in haptotaxis : a local model
We study theoretically vesicle locomotion due to haptotaxis.
Haptotaxis is referred to motion induced by an adhesion gradient on a
substrate. The problem is solved within a local approximation where a
Rayleigh-type dissipation is adopted. The dynamical model is akin to the Rousse
model for polymers. A powerful gauge-field invariant formulation is used to
solve a dynamical model which includes a kind of dissipation due to bond
breaking/restoring with the substrate. For a stationary situation where the
vesicle acquires a constant drift velocity, we formulate the propulsion problem
in terms of a nonlinear eigenvalue (the a priori unknown drift velocity) one of
Barenblat-Zeldovitch type. A counting argument shows that the velocity belongs
to a discrete set. For a relatively tense vesicle, we provide an analytical
expression for the drift velocity as a function of relevant parameters. We find
good agreement with the full numerical solution. Despite the oversimplification
of the model it allows the identification of a relevant quantity, namely the
adhesion length, which turns out to be crucial also in the nonlocal model in
the presence of hydrodynamics, a situation on which we have recently reported
[I. Cantat, and C. Misbah, Phys. Rev. Lett. {\bf 83}, 235 (1999)] and which
constitutes the subject of a forthcoming extensive study.Comment: 12 pages, 8 figures, submitted to Eur. Phys. J.
Spontaneous polarization in an interfacial growth model for actin filament networks with a rigorous mechano-chemical coupling
Many processes in eukaryotic cells, including cell motility, rely on the
growth of branched actin networks from surfaces. Despite its central role the
mechano-chemical coupling mechanisms which guide the growth process are poorly
understood, and a general continuum description combining growth and mechanics
is lacking. We develop a theory that bridges the gap between mesoscale and
continuum limit and propose a general framework providing the evolution law of
actin networks growing under stress. This formulation opens an area for the
systematic study of actin dynamics in arbitrary geometries. Our framework
predicts a morphological instability of actin growth on a rigid sphere, leading
to a spontaneous polarization of the network with a mode selection
corresponding to a comet, as reported experimentally. We show that the
mechanics of the contact between the network and the surface plays a crucial
role, in that it determines directly the existence of the instability. We
extract scaling laws relating growth dynamics and network properties offering
basic perspectives for new experiments on growing actin networks.Comment: 7 pages, 4 figure
Coarsening dynamics in one dimension: The phase diffusion equation and its numerical implementation
Many nonlinear partial differential equations (PDEs) display a coarsening
dynamics, i.e., an emerging pattern whose typical length scale increases
with time. The so-called coarsening exponent characterizes the time
dependence of the scale of the pattern, , and coarsening
dynamics can be described by a diffusion equation for the phase of the pattern.
By means of a multiscale analysis we are able to find the analytical expression
of such diffusion equations. Here, we propose a recipe to implement numerically
the determination of , the phase diffusion coefficient, as a
function of the wavelength of the base steady state .
carries all information about coarsening dynamics and, through the relation
, it allows us to determine the coarsening exponent. The
main conceptual message is that the coarsening exponent is determined without
solving a time-dependent equation, but only by inspecting the periodic
steady-state solutions. This provides a much faster strategy than a forward
time-dependent calculation. We discuss our method for several different PDEs,
both conserved and not conserved
Modified Kuramoto-Sivashinsky equation: stability of stationary solutions and the consequent dynamics
We study the effect of a higher-order nonlinearity in the standard
Kuramoto-Sivashinsky equation: \partial_x \tilde G(H_x). We find that the
stability of steady states depends on dv/dq, the derivative of the interface
velocity on the wavevector q of the steady state. If the standard nonlinearity
vanishes, coarsening is possible, in principle, only if \tilde G is an odd
function of H_x. In this case, the equation falls in the category of the
generalized Cahn-Hilliard equation, whose dynamical behavior was recently
studied by the same authors. Instead, if \tilde G is an even function of H_x,
we show that steady-state solutions are not permissible.Comment: 4 page
Phase instability and coarsening in two dimensions
Instabilities and pattern formation is the rule in nonequilibrium systems.
Selection of a persistent lengthscale, or coarsening (increase of the
lengthscale with time) are the two major alternatives. When and under which
conditions one dynamics prevails over the other is a longstanding problem,
particularly beyond one dimension. It is shown that the challenge can be defied
in two dimensions, using the concept of phase diffusion equation. We find that
coarsening is related to the \lambda-dependence of a suitable phase diffusion
coefficient, D_{11}(\lambda), depending on lattice symmetry and conservation
laws. These results are exemplified analytically on prototypical nonlinear
equations.Comment: Five pages. Introduction and summary strongly revised. One page of
supplementary material has been adde
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