English

Constrained optimization in classes of analytic functions with prescribed pointwise values

Analysis of PDEs 2015-08-17 v4 Complex Variables Functional Analysis Optimization and Control

Abstract

We consider an overdetermined problem for Laplace equation on a disk with partial boundary data where additional pointwise data inside the disk have to be taken into account. After reformulation, this ill-posed problem reduces to a bounded extremal problem of best norm-constrained approximation of partial L2 boundary data by traces of holomorphic functions which satisfy given pointwise interpolation conditions. The problem of best norm-constrained approximation of a given L2 function on a subset of the circle by the trace of a H2 function has been considered in [Baratchart \& Leblond, 1998]. In the present work, we extend such a formulation to the case where the additional interpolation conditions are imposed. We also obtain some new results that can be applied to the original problem: we carry out stability analysis and propose a novel method of evaluation of the approximation and blow-up rates of the solution in terms of a Lagrange parameter leading to a highly-efficient computational algorithm for solving the problem.

Keywords

Cite

@article{arxiv.1401.7633,
  title  = {Constrained optimization in classes of analytic functions with prescribed pointwise values},
  author = {Laurent Baratchart and Juliette Leblond and Dmitry Ponomarev},
  journal= {arXiv preprint arXiv:1401.7633},
  year   = {2015}
}
R2 v1 2026-06-22T02:57:19.283Z