5,217 research outputs found
Initial trace of positive solutions of a class of degenerate heat equation with absorption
We study the initial value problem with unbounded nonnegative functions or
measures for the equation \prt_tu-\Gd_p u+f(u)=0 in \BBR^N\ti(0,\infty)
where , \Gd_p u = \text{div}(\abs {\nabla u}^{p-2} \nabla u) and is
a continuous, nondecreasing nonnegative function such that . In the
case , we provide a sufficient condition on for existence
and uniqueness of the solutions satisfying the initial data k\gd_0 and we
study their limit when according and are
integrable or not at infinity, where F(s)=\int_0^s f(\gs)d\gs. We also give
new results dealing with non uniqueness for the initial value problem with
unbounded initial data. If , we prove that, for a large class of
nonlinearities , any positive solution admits an initial trace in the class
of positive Borel measures. As a model case we consider the case f(u)=u^\ga
\ln^\gb(u+1), where \ga>0 and \gb\geq 0
Wiener criteria for existence of large solutions of quasilinear elliptic equations with absorption
We obtain sufficient conditions expressed in terms of Wiener type tests
involving Hausdorff or Bessel capacities for the existence of large solutions
to equations (1) -\Gd_pu+e^{\lambda u}+\beta=0 or (2) -\Gd_pu+\lambda
|u|^{q-1}u+\beta=0 in a bounded domain \Gw when and
. We apply our results to equations (3)
-\Gd_pu+a\abs{\nabla u}^{q}+bu^{s}=0, (4) \Gd_p u+u^{-\gamma}=0 with and , .Comment: To appear in Potential Analysi
Local and global properties of solutions of heat equation with superlinear absorption
We study the limit, when of solutions of
in with initial data k\gd, when is a positive
increasing function. We prove that there exist essentially three types of
possible behaviour according and belong or not to
, where . We emphasize the case where
f(u)=u((\ln u+1))^{\alpha}. We use these results for giving a general result on
the existence of the initial trace and some non-uniqueness results for regular
solutions with unbounded initial data
Reconstruction and stability in acousto-optic imaging for absorption maps with bounded variation
The aim of this paper is to propose for the first time a reconstruction
scheme and a stability result for recovering from acoustic-optic data
absorption distributions with bounded variation. The paper extends earlier
results on smooth absorption distributions. It opens a door for a mathematical
and numerical framework for imaging, from internal data, parameter
distributions with high contrast in biological tissues
Proofs of Control of a Quadrotor and a Ground Vehicle Manipulating an Object
This paper focuses on the control of a cooperative system composed of an
Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV) manipulating
an object. The two units are subject to input saturations and collaborate to
move the object to a desired pose characterized by its position and
inclination. The dynamics are derived using Euler-Lagrange method. A
pre-stabilizing control law is proposed where the UGV is tasked to deploy the
object to a certain position whereas the UAV adjusts its inclination. In
particular, a proportional-derivative control law is proposed for the UGV, and
a cascade control approach is used for the UAV, where the inner loop controls
the attitude of the UAV and the outer loop stabilizes the inclination of the
object. Then, we prove the stability of the points of equilibrium using small
gain arguments. To ensure constraints satisfaction at all times, a reference
governor unit is added to the pre-stabilizing control scheme. Finally,
numerical results combined with experimental results are provided to validate
the effectiveness of the proposed control scheme in practice.Comment: 16 pages, 7 figure
XQ2P: Efficient XQuery P2P Time Series Processing
In this demonstration, we propose a model for the management of XML time
series (TS), using the new XQuery 1.1 window operator. We argue that
centralized computation is slow, and demonstrate XQ2P, our prototype of
efficient XQuery P2P TS computation in the context of financial analysis of
large data sets (>1M values)
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