Pub Date : 2024-02-06DOI: 10.1007/s10473-024-0219-7
Diana I. Hernández, Diego A. Rueda-Gómez, Élder J. Villamizar-Roa
In this paper we study a bilinear optimal control problem for a diffusive Lotka-Volterra competition model with chemo-repulsion in a bounded domain of ℝℕ, N = 2, 3. This model describes the competition of two species in which one of them avoid encounters with rivals through a chemo-repulsion mechanism. We prove the existence and uniqueness of weak-strong solutions, and then we analyze the existence of a global optimal solution for a related bilinear optimal control problem, where the control is acting on the chemical signal. Posteriorly, we derive first-order optimality conditions for local optimal solutions using the Lagrange multipliers theory. Finally, we propose a discrete approximation scheme of the optimality system based on the gradient method, which is validated with some computational experiments.
{"title":"An optimal control problem for a Lotka-Volterra competition model with chemo-repulsion","authors":"Diana I. Hernández, Diego A. Rueda-Gómez, Élder J. Villamizar-Roa","doi":"10.1007/s10473-024-0219-7","DOIUrl":"https://doi.org/10.1007/s10473-024-0219-7","url":null,"abstract":"<p>In this paper we study a bilinear optimal control problem for a diffusive Lotka-Volterra competition model with chemo-repulsion in a bounded domain of ℝ<sup>ℕ</sup>, <i>N</i> = 2, 3. This model describes the competition of two species in which one of them avoid encounters with rivals through a chemo-repulsion mechanism. We prove the existence and uniqueness of weak-strong solutions, and then we analyze the existence of a global optimal solution for a related bilinear optimal control problem, where the control is acting on the chemical signal. Posteriorly, we derive first-order optimality conditions for local optimal solutions using the Lagrange multipliers theory. Finally, we propose a discrete approximation scheme of the optimality system based on the gradient method, which is validated with some computational experiments.</p>","PeriodicalId":50998,"journal":{"name":"Acta Mathematica Scientia","volume":"35 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139765632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1007/s10473-024-0210-3
Yonghong Yao, Abubakar Adamu, Yekini Shehu
This paper studies a strongly convergent inertial forward-backward-forward algorithm for the variational inequality problem in Hilbert spaces. In our convergence analysis, we do not assume the on-line rule of the inertial parameters and the iterates, which have been assumed by several authors whenever a strongly convergent algorithm with an inertial extrapolation step is proposed for a variational inequality problem. Consequently, our proof arguments are different from what is obtainable in the relevant literature. Finally, we give numerical tests to confirm the theoretical analysis and show that our proposed algorithm is superior to related ones in the literature.
{"title":"Strongly convergent inertial forward-backward-forward algorithm without on-line rule for variational inequalities","authors":"Yonghong Yao, Abubakar Adamu, Yekini Shehu","doi":"10.1007/s10473-024-0210-3","DOIUrl":"https://doi.org/10.1007/s10473-024-0210-3","url":null,"abstract":"<p>This paper studies a strongly convergent inertial forward-backward-forward algorithm for the variational inequality problem in Hilbert spaces. In our convergence analysis, we do not assume the on-line rule of the inertial parameters and the iterates, which have been assumed by several authors whenever a strongly convergent algorithm with an inertial extrapolation step is proposed for a variational inequality problem. Consequently, our proof arguments are different from what is obtainable in the relevant literature. Finally, we give numerical tests to confirm the theoretical analysis and show that our proposed algorithm is superior to related ones in the literature.</p>","PeriodicalId":50998,"journal":{"name":"Acta Mathematica Scientia","volume":"26 1","pages":""},"PeriodicalIF":1.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139765621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1007/s10473-024-0209-9
Wenxian Ma, Sibei Yang
Let n ≥ 2 and let L be a second-order elliptic operator of divergence form with coefficients consisting of both an elliptic symmetric part and a BMO anti-symmetric part in ℝn. In this article, we consider the weighted Kato square root problem for L. More precisely, we prove that the square root L1/2 satisfies the weighted Lp estimates (||{L^{1/2}}(f)|{|_{L_omega ^p({mathbb{R}^n})}} le C||nabla f|{|_{L_omega ^p({mathbb{R}^n};{mathbb{R}^n})}}) for any p ∈ (1, ∞) and ω ∈ Ap(ℝn) (the class of Muckenhoupt weights), and that (||nabla f|{|_{L_omega ^p({mathbb{R}^n};{mathbb{R}^n})}} le C||{L^{1/2}}(f)|{|_{L_omega ^p({mathbb{R}^n})}}) for any p ∈ (1, 2 + ε) and ω ∈ Ap(ℝn) ∩ (R{H_{({{2 + varepsilon } over p})prime }}({mathbb{R}^n})) (the class of reverse Hölder weights), where ε ∈ (0, ∞) is a constant depending only on n and the operator L, and where (({{2 + varepsilon } over p})prime ) denotes the Hölder conjugate exponent of ({{2 + varepsilon } over p}). Moreover, for any given q ∈ (2, ∞), we give a sufficient condition to obtain that (||nabla f|{|_{L_omega ^p({mathbb{R}^n};{mathbb{R}^n})}} le C||{L^{1/2}}(f)|{|_{L_omega ^p({mathbb{R}^n})}}) for any p ∈ (1, q) and (omega in {A_p}({mathbb{R}^n}) cap R{H_{({q over p})prime }}({mathbb{R}^n})). As an application, we prove that when the coefficient matrix A that appears in L satisfies the small BMO condition, the Riesz transform ∇L−1/2 is bounded on L