2,768 research outputs found
Radial terrace solutions and propagation profile of multistable reaction-diffusion equations over
We study the propagation profile of the solution to the nonlinear
diffusion problem ,
, where is of multistable type:
, , , where is a positive constant, and
may have finitely many nondegenerate zeros in the interval . The class
of initial functions includes in particular those which are nonnegative
and decay to 0 at infinity. We show that, if converges to as
in , then the long-time dynamical
behavior of is determined by the one dimensional propagating terraces
introduced by Ducrot, Giletti and Matano [DGM]. For example, we will show that
in such a case, in any given direction , converges to a pair of one dimensional propagating terraces, one moving in
the direction of , and the other is its reflection moving in the
opposite direction .
Our approach relies on the introduction of the notion "radial terrace
solution", by which we mean a special solution of such that, as , converges to the corresponding one
dimensional propagating terrace of [DGM]. We show that such radial terrace
solutions exist in our setting, and the general solution can be well
approximated by a suitablly shifted radial terrace solution . These
will enable us to obtain better convergence result for .
We stress that is a high dimensional solution without any symmetry.
Our results indicate that the one dimensional propagating terrace is a rather
fundamental concept; it provides the basic structure and ingredients for the
long-time profile of solutions in all space dimensions
Dissipation of information in channels with input constraints
One of the basic tenets in information theory, the data processing inequality
states that output divergence does not exceed the input divergence for any
channel. For channels without input constraints, various estimates on the
amount of such contraction are known, Dobrushin's coefficient for the total
variation being perhaps the most well-known. This work investigates channels
with average input cost constraint. It is found that while the contraction
coefficient typically equals one (no contraction), the information nevertheless
dissipates. A certain non-linear function, the \emph{Dobrushin curve} of the
channel, is proposed to quantify the amount of dissipation. Tools for
evaluating the Dobrushin curve of additive-noise channels are developed based
on coupling arguments. Some basic applications in stochastic control,
uniqueness of Gibbs measures and fundamental limits of noisy circuits are
discussed.
As an application, it shown that in the chain of power-constrained relays
and Gaussian channels the end-to-end mutual information and maximal squared
correlation decay as , which is in stark
contrast with the exponential decay in chains of discrete channels. Similarly,
the behavior of noisy circuits (composed of gates with bounded fan-in) and
broadcasting of information on trees (of bounded degree) does not experience
threshold behavior in the signal-to-noise ratio (SNR). Namely, unlike the case
of discrete channels, the probability of bit error stays bounded away from
regardless of the SNR.Comment: revised; include appendix B on contraction coefficient for mutual
information on general alphabet
Finite Morse index solutions and asymptotics of weighted nonlinear elliptic equations
By introducing a suitable setting, we study the behavior of finite Morse
index solutions of the equation
-\{div} (|x|^\theta \nabla v)=|x|^l |v|^{p-1}v \;\;\; \{in $\Omega \subset
\R^N \; (N \geq 2)$}, \leqno(1) where , with
, , and is a bounded or unbounded domain.
Through a suitable transformation of the form , equation
(1) can be rewritten as a nonlinear Schr\"odinger equation with Hardy potential
-\Delta u=|x|^\alpha |u|^{p-1}u+\frac{\ell}{|x|^2} u \;\; \{in $\Omega
\subset \R^N \;\; (N \geq 2)$}, \leqno{(2)} where , and .
We show that under our chosen setting for the finite Morse index theory of
(1), the stability of a solution to (1) is unchanged under various natural
transformations. This enables us to reveal two critical values of the exponent
in (1) that divide the behavior of finite Morse index solutions of (1),
which in turn yields two critical powers for (2) through the transformation.
The latter appear difficult to obtain by working directly with (2)
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