The bang-bang property in some parabolic bilinear optimal control problems \emph{via} two-scale asymptotic expansions

TL;DR

This paper proves that optimal controls in certain parabolic bilinear problems are bang-bang, using second order conditions and two-scale asymptotic expansions, with applications to reaction-diffusion models.

Contribution

It establishes bang-bang properties for a broad class of bilinear control problems using novel analytical techniques.

Findings

Optimal controls are bang-bang under increasing cost functionals.

Second order optimality conditions are crucial for the analysis.

Results apply to both one-dimensional and multi-dimensional parabolic models.

Abstract

We investigate the bang-bang property for fairly general classes of $L^\infty-L^1$ constrained bilinear optimal control problems in two cases: that of the one-dimensional torus, in which case we consider parabolic equations, and that of general $d$ dimensional domains for time-discrete parabolic models. Such a study is motivated by several applications in applied mathematics, most importantly in the study of reaction-diffusion models. The main equation in the one-dimensional case writes $\partial_t u_m-\Delta u_m=mu_m+f(t,x,u_m)$, where $m=m(x)$ is the control, which must satisfy some $L^\infty$ bounds ($0\leq m\leq 1$ a.e.) and an $L^1$ constraint ($\int m=m_0$ is fixed), and where $f$ is a non-linearity that must only satisfy that any solution of this equation is positive at any given time. The time-discrete models are simply time-discretisations of such equations. The functionals we seek to optimise are rather general; in the case of the torus, they write $\mathcal J(m)=\iint_{(0,T)\times \mathbb T} j_1(t,x,u_m)+\int_{\mathbb T} j_2(x,u_m(T,\cdot))$. Roughly speaking we prove in this article that, if $j_1$ and $j_2$ are increasing, then any maximiser $m^*$ of $\mathcal J$ is bang-bang in the sense that it writes $m^*=1_E$ for some subset $E$ of the torus. It should be noted that such a result rewrites as an existence property for a shape optimisation problem. Our proofs rely on second order optimality conditions, combined with a fine study of two-scale asymptotic expansions. In the conclusion of this article, we offer several possible generalisations of our results to more involved situations (for instance for controls of the form $m\varphi(u_m)$), and we discuss the limits of our methods by explaining which difficulties may arise in other contexts.