115 research outputs found
A new approach to nonlinear constrained Tikhonov regularization
We present a novel approach to nonlinear constrained Tikhonov regularization
from the viewpoint of optimization theory. A second-order sufficient optimality
condition is suggested as a nonlinearity condition to handle the nonlinearity
of the forward operator. The approach is exploited to derive convergence rates
results for a priori as well as a posteriori choice rules, e.g., discrepancy
principle and balancing principle, for selecting the regularization parameter.
The idea is further illustrated on a general class of parameter identification
problems, for which (new) source and nonlinearity conditions are derived and
the structural property of the nonlinearity term is revealed. A number of
examples including identifying distributed parameters in elliptic differential
equations are presented.Comment: 21 pages, to appear in Inverse Problem
Sharp interface limit for a phase field model in structural optimization
We formulate a general shape and topology optimization problem in structural
optimization by using a phase field approach. This problem is considered in
view of well-posedness and we derive optimality conditions. We relate the
diffuse interface problem to a perimeter penalized sharp interface shape
optimization problem in the sense of -convergence of the reduced
objective functional. Additionally, convergence of the equations of the first
variation can be shown. The limit equations can also be derived directly from
the problem in the sharp interface setting. Numerical computations demonstrate
that the approach can be applied for complex structural optimization problems
Optimal bilinear control problem related to a chemo-repulsion system in 2D domains
In this paper we study a bilinear optimal control problem associated to a
chemo-repulsion model with linear production term. We analyze the existence,
uniqueness and regularity of pointwise strong solutions in a bidimensional
domain. We prove the existence of an optimal solution and, using a Lagrange
multipliers theorem, we derive first-order optimality conditions
Parameter estimation for the Euler-Bernoulli-beam
An approximation involving cubic spline functions for parameter estimation problems in the Euler-Bernoulli-beam equation (phrased as an optimization problem with respect to the parameters) is described and convergence is proved. The resulting algorithm was implemented and several of the test examples are documented. It is observed that the use of penalty terms in the cost functional can improve the rate of convergence
Boundary coefficient control --- A maximal parabolic regularity approach
We investigate a control problem for the heat equation. The goal is to find an optimal heat transfer coefficient in the Robin boundary condition such that a desired temperature distribution at the boundary is adhered. To this end we consider a function space setting in which the heat flux across the boundary is forced to be an function with respect to the surface measure, which in turn implies higher regularity for the time derivative of temperature. We show that the corresponding elliptic operator generates a strongly continuous semigroup of contractions and apply the concept of maximal parabolic regularity. This allows to show the existence of an optimal control and the derivation of necessary and sufficient optimality conditions
The corrector in stochastic homogenization: optimal rates, stochastic integrability, and fluctuations
We consider uniformly elliptic coefficient fields that are randomly
distributed according to a stationary ensemble of a finite range of dependence.
We show that the gradient and flux of the
corrector , when spatially averaged over a scale decay like the
CLT scaling . We establish this optimal rate on the level of
sub-Gaussian bounds in terms of the stochastic integrability, and also
establish a suboptimal rate on the level of optimal Gaussian bounds in terms of
the stochastic integrability. The proof unravels and exploits the
self-averaging property of the associated semi-group, which provides a natural
and convenient disintegration of scales, and culminates in a propagator
estimate with strong stochastic integrability. As an application, we
characterize the fluctuations of the homogenization commutator, and prove sharp
bounds on the spatial growth of the corrector, a quantitative two-scale
expansion, and several other estimates of interest in homogenization.Comment: 114 pages. Revised version with some new results: optimal scaling
with nearly-optimal stochastic integrability on top of nearly-optimal scaling
with optimal stochastic integrability, CLT for the homogenization commutator,
and several estimates on growth of the extended corrector, semi-group
estimates, and systematic error
Constructive proofs for localized radial solutions of semilinear elliptic systems on
Ground state solutions of elliptic problems have been analyzed extensively in
the theory of partial differential equations, as they represent fundamental
spatial patterns in many model equations. While the results for scalar
equations, as well as certain specific classes of elliptic systems, are
comprehensive, much less is known about these localized solutions in generic
systems of nonlinear elliptic equations. In this paper we present a general
method to prove constructively the existence of localized radially symmetric
solutions of elliptic systems on . Such solutions are essentially
described by systems of non-autonomous ordinary differential equations. We
study these systems using dynamical systems theory and computer-assisted proof
techniques, combining a suitably chosen Lyapunov-Perron operator with a
Newton-Kantorovich type theorem. We demonstrate the power of this methodology
by proving specific localized radial solutions of the cubic Klein-Gordon
equation on , the Swift-Hohenberg equation on , and
a three-component FitzHugh-Nagumo system on . These results
illustrate that ground state solutions in a wide range of elliptic systems are
tractable through constructive proofs
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