Abstract
The optimal control of a system of nonlinear reaction–diffusion equations is considered that covers several important equations of mathematical physics. In particular equations are covered that develop traveling wave fronts, spiral waves, scroll rings, or propagating spot solutions. Well-posedness of the system and differentiability of the control-to-state mapping are proved. Associated optimal control problems with pointwise constraints on the control and the state are discussed. The existence of optimal controls is proved under weaker assumptions than usually expected. Moreover, necessary first-order optimality conditions are derived. Several challenging numerical examples are presented that include in particular an application of pointwise state constraints where the latter prevent a moving localized spot from hitting the domain boundary.
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Eduardo Casas was partially supported by the Spanish Ministerio de Economía, Industria y Competitividad under Projects MTM2014-57531-P and MTM2017-83185-P. Christopher Ryll and Fredi Tröltzsch are supported by DFG in the framework of the Collaborative Research Center SFB 910, Project B6.
Appendix: Proof of Lemma 3.1
Appendix: Proof of Lemma 3.1
Let us consider sequences \(\{f_k\}_{k=1}^\infty \subset L^2(Q)^n\), \(\{g_k\}_{k=1}^\infty \subset L^2(\varSigma )^n\), and \(\{h_k\}_{k = 1}^\infty \subset H^1(\varOmega )^n\) satisfying
We also consider a sequence \(\{w_k\}_{k= 1}^\infty \subset H^1(\varOmega )^n\) such that
Now we consider the problem
This is a standard linear problem for which existence and uniqueness of a solution \(\varphi _k \in W(0,T)^n\) are well known. Moreover, since \(w_k + h_k \in H^1(\varOmega )^n\), we also have that \(\varphi _k \in H^1(Q)^n\). From Theorem 3.3 we infer that
Moreover, the following strong convergence holds [7]
Now, we define \(\varphi _{M,k}(x,t) = {\text {Proj}}_{[-M,+M]^n}({{\bar{\varphi }}}_k(x,t))\). Since \(\varphi _k \in H^1(Q)^n\), then we also have that \(\varphi _{M,k} \in H^1(Q)^n\). From the inequality \(|\varphi _{M}(x,t) - \varphi _{M,k}(x,t)| \le |{{\bar{\varphi }}}(x,t) - \varphi _{k}(x,t)|\) and (5.7) we infer that \(\varphi _{M,k} \rightarrow \varphi _M\) strongly in \(L^q(Q)^n\) for every \(1\le q < \frac{d + 2}{d}\).
If we prove that \(\{\varphi _{M,k}\}_{k = 1}^\infty \) is bounded in \(L^2(0,T;H^1(\varOmega ))^n\), then the convergence \(\varphi _{M,k} \rightarrow \varphi _M\) in \(L^q(Q)^n\) implies that \(\varphi _M \in L^2(0,T;H^1(\varOmega ))^n\) as well. Taking \(\eta = |C_R| + 1\), multiplying (5.5) by \({\mathrm{e}}^{2\eta t}\varphi _{M,k}\) and integrating in Q
Now using that \(\varphi _k\cdot \partial _t\varphi _{M,k} = \varphi _{M,k}\cdot \partial _t\varphi _{M,k} = \frac{1}{2}\partial _t|\varphi _{M,k}|^2\), we obtain
For the last term we have
From (5.9) and (5.10) and using that \(\varphi _k\cdot \varphi _{M,k} \ge |\varphi _{M,k}|^2\) we deduce
Inserting this inequality in (5.8) and taking into account that \(\partial _{x_i}\varphi _k\cdot \partial _{x_i}\varphi _{M,k} = \partial _{x_i}\varphi _{M,k}\cdot \partial _{x_i}\varphi _{M,k}\), we obtain with Young’s inequality, (5.1)–(5.4), and the estimate for \(\Vert \varphi _k\Vert _{L^1(Q)^n}\) derived from Theorem 3.3
Finally, we get from the above inequality with (5.4) that each \(\varphi _{M,k}\) satisfies (3.15). Hence, \(\varphi _M\) also does it. \(\square \)
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Casas, E., Ryll, C. & Tröltzsch, F. Optimal control of a class of reaction–diffusion systems. Comput Optim Appl 70, 677–707 (2018). https://doi.org/10.1007/s10589-018-9986-1
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DOI: https://doi.org/10.1007/s10589-018-9986-1