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Existence and relaxation for optimal control governed by steady, quasilinear PDEs

Pablo Pedregal

Abstract

We focus on optimal control problems governed by elliptic, quasilinear PDEs. Though there are various examples of such problems in the literature, we make an attempt at describing some general principles by dealing with three basic situations. In the first one, we assume that the state equation is variational; the second one focuses on a non-variational, monotone operator as state equation; finally, we add a non-linear term off the divergence part of the equation. In the first two cases, existence of optimal solutions can be established under suitable sets of assumptions, while relaxation is required for the third situation. Concerning the cost functional, and though more general examples can be dealt with, we will take a typical case consisting of two terms: one depending on the state, and another one of the form of a typical Thychonov regularization.

Existence and relaxation for optimal control governed by steady, quasilinear PDEs

Abstract

We focus on optimal control problems governed by elliptic, quasilinear PDEs. Though there are various examples of such problems in the literature, we make an attempt at describing some general principles by dealing with three basic situations. In the first one, we assume that the state equation is variational; the second one focuses on a non-variational, monotone operator as state equation; finally, we add a non-linear term off the divergence part of the equation. In the first two cases, existence of optimal solutions can be established under suitable sets of assumptions, while relaxation is required for the third situation. Concerning the cost functional, and though more general examples can be dealt with, we will take a typical case consisting of two terms: one depending on the state, and another one of the form of a typical Thychonov regularization.
Paper Structure (4 sections, 10 theorems, 108 equations)

This paper contains 4 sections, 10 theorems, 108 equations.

Table of Contents

  1. Introduction
  2. State equations with variational structure
  3. Monotone state equations
  4. Non-linear state equations

Key Result

Theorem 2.1

Under the hypotheses just described, there is an optimal solution $u_0$ for our optimal control problem optcontprob.

Theorems & Definitions (18)

  • Definition 1.1
  • Theorem 2.1
  • proof
  • Corollary 2.2
  • proof
  • Theorem 3.1
  • proof
  • Lemma 4.1
  • proof
  • Theorem 4.2
  • ...and 8 more