522 research outputs found
A kinetic eikonal equation
We analyse the linear kinetic transport equation with a BGK relaxation
operator. We study the large scale hyperbolic limit (t,x)\to (t/\eps,x/\eps).
We derive a new type of limiting Hamilton-Jacobi equation, which is analogous
to the classical eikonal equation derived from the heat equation with small
diffusivity. We prove well-posedness of the phase problem and convergence
towards the viscosity solution of the Hamilton-Jacobi equation. This is a
preliminary work before analysing the propagation of reaction fronts in kinetic
equations
Optimal growth for linear processes with affine control
We analyse an optimal control with the following features: the dynamical
system is linear, and the dependence upon the control parameter is affine. More
precisely we consider , where
and are matrices with some prescribed structure. In the
case of constant control , we show the existence of an
optimal Perron eigenvalue with respect to varying under some
assumptions. Next we investigate the Floquet eigenvalue problem associated to
time-periodic controls . Finally we prove the existence of an
eigenvalue (in the generalized sense) for the optimal control problem. The
proof is based on the results by [Arisawa 1998, Ann. Institut Henri Poincar\'e]
concerning the ergodic problem for Hamilton-Jacobi equations. We discuss the
relations between the three eigenvalues. Surprisingly enough, the three
eigenvalues appear to be numerically the same
A one-dimensional Keller-Segel equation with a drift issued from the boundary
We investigate in this note the dynamics of a one-dimensional Keller-Segel
type model on the half-line. On the contrary to the classical configuration,
the chemical production term is located on the boundary. We prove, under
suitable assumptions, the following dichotomy which is reminiscent of the
two-dimensional Keller-Segel system. Solutions are global if the mass is below
the critical mass, they blow-up in finite time above the critical mass, and
they converge to some equilibrium at the critical mass. Entropy techniques are
presented which aim at providing quantitative convergence results for the
subcritical case. This note is completed with a brief introduction to a more
realistic model (still one-dimensional).Comment: short version, 8 page
Pattern selection in a biomechanical model for the growth of walled cells
In this paper, we analyse a model for the growth of three-dimensional walled
cells. In this model the biomechanical expansion of the cell is coupled with
the geometry of its wall. We consider that the density of building material
depends on the curvature of the cell wall, thus yield-ing possible anisotropic
growth. The dynamics of the axisymmetric cell wall is described by a system of
nonlinear PDE including a nonlin-ear convection-diffusion equation coupled with
a Poisson equation. We develop the linear stability analysis of the spherical
symmetric config-uration in expansion. We identify three critical parameters
that play a role in the possible instability of the radially symmetric shape,
namely the degree of nonlinearity of the coupling, the effective diffusion of
the building material, and the Poisson's ratio of the cell wall. We also
investigate numerically pattern selection in the nonlinear regime. All the
results are also obtained for a simpler, but similar, two-dimensional model
Refined Asymptotics for the subcritical Keller-Segel system and Related Functional Inequalities
We analyze the rate of convergence towards self-similarity for the
subcritical Keller-Segel system in the radially symmetric two-dimensional case
and in the corresponding one-dimensional case for logarithmic interaction. We
measure convergence in Wasserstein distance. The rate of convergence towards
self-similarity does not degenerate as we approach the critical case. As a
byproduct, we obtain a proof of the logarithmic Hardy-Littlewood-Sobolev
inequality in the one dimensional and radially symmetric two dimensional case
based on optimal transport arguments. In addition we prove that the
one-dimensional equation is a contraction with respect to Fourier distance in
the subcritical case
Propagation in a kinetic reaction-transport equation: travelling waves and accelerating fronts
In this paper, we study the existence and stability of travelling wave
solutions of a kinetic reaction-transport equation. The model describes
particles moving according to a velocity-jump process, and proliferating thanks
to a reaction term of monostable type. The boundedness of the velocity set
appears to be a necessary and sufficient condition for the existence of
positive travelling waves. The minimal speed of propagation of waves is
obtained from an explicit dispersion relation. We construct the waves using a
technique of sub- and supersolutions and prove their \eb{weak} stability in a
weighted space. In case of an unbounded velocity set, we prove a
superlinear spreading. It appears that the rate of spreading depends on the
decay at infinity of the velocity distribution. In the case of a Gaussian
distribution, we prove that the front spreads as
Non-linear eigenvalue problems arising from growth maximization of positive linear dynamical systems
We study a growth maximization problem for a continuous time positive linear
system with switches. This is motivated by a problem of mathematical biology
(modeling growth-fragmentation processes and the PMCA protocol). We show that
the growth rate is determined by the non-linear eigenvalue of a max-plus
analogue of the Ruelle-Perron-Frobenius operator, or equivalently, by the
ergodic constant of a Hamilton-Jacobi (HJ) partial differential equation, the
solutions or subsolutions of which yield Barabanov and extremal norms,
respectively. We exploit contraction properties of order preserving flows, with
respect to Hilbert's projective metric, to show that the non-linear eigenvector
of the operator, or the "weak KAM" solution of the HJ equation, does exist. Low
dimensional examples are presented, showing that the optimal control can lead
to a limit cycle.Comment: 8 page
Confinement by biased velocity jumps: aggregation of Escherichia coli
We investigate a linear kinetic equation derived from a velocity jump process
modelling bacterial chemotaxis in the presence of an external chemical signal
centered at the origin. We prove the existence of a positive equilibrium
distribution with an exponential decay at infinity. We deduce a hypocoercivity
result, namely: the solution of the Cauchy problem converges exponentially fast
towards the stationary state. The strategy follows [J. Dolbeault, C. Mouhot,
and C. Schmeiser, Hypocoercivity for linear kinetic equations conserving mass,
Trans. AMS 2014]. The novelty here is that the equilibrium does not belong to
the null spaces of the collision operator and of the transport operator. From a
modelling viewpoint it is related to the observation that exponential
confinement is generated by a spatially inhomogeneous bias in the velocity jump
process.Comment: 15 page
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