Localization for nonlocal gradient-based optimal control problems
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866910205842817024 |
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| author | Cueto, Javier Siktar, Joshua M. |
| author_facet | Cueto, Javier Siktar, Joshua M. |
| contents | In this paper we consider optimal control problems in the nonlocal function space framework of Bellido-2023, where there are two different parameters: a horizon parameter $δ> 0$; and a fractional parameter $s \in (0, 1)$. The constraints are given in the form of minimizing an energy density, and we will focus on two particular cases: the well-posed case where the underlying energy density is convex and is given by the nonlocal $p$-Laplacian; and a more general poly/quasiconvex energy for which minimizers exist but may not be unique. The study is concluded by analyzing the approximation to local problems in two parallel ways, either taking the fractional parameter $s$ to $1$ or the horizon parameter $δ$ to $0$. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_09220 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Localization for nonlocal gradient-based optimal control problems Cueto, Javier Siktar, Joshua M. Optimization and Control Analysis of PDEs Primary: 49J21, Secondary: 45G15, , 74B20 In this paper we consider optimal control problems in the nonlocal function space framework of Bellido-2023, where there are two different parameters: a horizon parameter $δ> 0$; and a fractional parameter $s \in (0, 1)$. The constraints are given in the form of minimizing an energy density, and we will focus on two particular cases: the well-posed case where the underlying energy density is convex and is given by the nonlocal $p$-Laplacian; and a more general poly/quasiconvex energy for which minimizers exist but may not be unique. The study is concluded by analyzing the approximation to local problems in two parallel ways, either taking the fractional parameter $s$ to $1$ or the horizon parameter $δ$ to $0$. |
| title | Localization for nonlocal gradient-based optimal control problems |
| topic | Optimization and Control Analysis of PDEs Primary: 49J21, Secondary: 45G15, , 74B20 |
| url | https://arxiv.org/abs/2605.09220 |