Optimal Control Related to Weak Solutions of a Chemotaxis-Consumption Model

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED Applied Mathematics and Optimization Pub Date : 2024-03-20 DOI:10.1007/s00245-024-10109-6
André Luiz Corrêa Vianna Filho, Francisco Guillén-González
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Abstract

In the present work we investigate an optimal control problem related to the following chemotaxis-consumption model in a bounded domain \(\Omega \subset {\mathbb {R}}^3\):

$$\begin{aligned} \partial _t u - \Delta u = - \nabla \cdot (u \nabla v), \quad \partial _t v - \Delta v = - u^s v + f \,v\, 1_{\Omega _c}, \end{aligned}$$

with \(s \ge 1\), endowed with isolated boundary conditions and initial conditions for (uv), being u the cell density, v the chemical concentration and f the control acting in the v-equation through the bilinear term \(f \,v\, 1_{\Omega _c}\), in a subdomain \(\Omega _c \subset \Omega \). We address the existence of optimal control restricted to a weak solution setting, where, in particular, uniqueness of state (uv) given a control f is not clear. Then by considering weak solutions satisfying an adequate energy inequality, we prove the existence of optimal control subject to uniformly bounded controls. Finally, we discuss the relation between the considered control problem and two other related ones, where the existence of optimal solution can not be proved.

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与趋化-消费模型弱解相关的最优控制
在本研究中,我们研究了在有界域 \(\Omega \subset {\mathbb {R}}^3\) 中与以下趋化-消费模型相关的最优控制问题:$$\begin{aligned}\partial _t u - Delta u = - \nabla \cdot (u \nabla v), \quad partial _t v - Delta v = - u^s v + f \,v\, 1_{Omega _c}, \end{aligned}$$with \(s \ge 1\), endowed with isolated boundary conditions and initial conditions for (u. v)、v), 即 u 是细胞密度,v 是化学浓度,f 是通过双线性项 \(f\,v\, 1_{\Omega _c}\) 作用于 v 方程的控制,在一个子域 \(\Omega _c \子集 \Omega \)中。我们要解决的是最优控制的存在性问题,它受限于弱解设置,尤其是给定控制 f 的状态(u, v)的唯一性并不明确。然后,通过考虑满足适当能量不等式的弱解,我们证明了受均匀约束控制的最优控制的存在性。最后,我们讨论了所考虑的控制问题与其他两个相关问题之间的关系,在这两个问题中,最优解的存在性无法证明。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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