{"title":"Optimal Control for Coupled Sweeping Processes Under Minimal Assumptions","authors":"Samara Chamoun, Vera Zeidan","doi":"10.1007/s00245-025-10268-0","DOIUrl":"10.1007/s00245-025-10268-0","url":null,"abstract":"<div><p>In this paper, the study of nonsmooth optimal control problems (<i>P</i>) involving a controlled sweeping process with <i>three</i> main characteristics is launched. First, the sweeping sets are <i>nonsmooth</i>, <i>time-dependent</i>, and uniformly prox-regular. Second, the sweeping process is <i>coupled</i> with a controlled differential equation. Third, a <i>joint</i>-state endpoints constraint set <i>S</i> is present. This general model incorporates different important controlled submodels, such as a class of second order sweeping processes, and coupled evolution variational inequalities. A full form of the <i>nonsmooth</i> Pontryagin maximum principle for <i>strong</i> local minimizers in (<i>P</i>) is derived for <i>bounded or unbounded moving</i> sweeping sets satisfying <i>local</i> constraint qualifications (CQ) <i>without</i> any additional restriction. The existence and uniqueness of a Lipschitz solution for the Cauchy problem of our dynamic is established and the existence of an optimal solution for (<i>P</i>) is obtained. Two of the novelties in achieving the first goal are (i) the construction of a problem over <i>truncated</i> sweeping sets and <i>truncated</i> joint endpoints constraint set that has the same strong local minimizer as (<i>P</i>) and its (CQ) automatically holds, and (ii) the <i>complete redesign</i> of the exponential-penalty approximation technique for problems with moving sweeping sets that <i>do not require</i> any special assumption on the sets, their corners, or on the gradients of their generators. The utility of the optimality conditions is illustrated with an example.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"92 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00245-025-10268-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145166459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Taming the Interacting Particle Langevin Algorithm: The Superlinear case","authors":"Tim Johnston, Nikolaos Makras, Sotirios Sabanis","doi":"10.1007/s00245-025-10269-z","DOIUrl":"10.1007/s00245-025-10269-z","url":null,"abstract":"<div><p>Recent advances in stochastic optimization have yielded the interacting particle Langevin algorithm (IPLA), which leverages the notion of interacting particle systems (IPS) to efficiently sample from approximate posterior densities. This becomes particularly crucial in relation to the framework of Expectation-Maximization (EM), where the E-step is computationally challenging or even intractable. Although prior research has focused on scenarios involving convex cases with gradients of log densities that grow at most linearly, our work extends this framework to include polynomial growth. Taming techniques are employed to produce an explicit discretization scheme that yields a new class of stable, under such non-linearities, algorithms which are called tamed interacting particle Langevin algorithms (tIPLA). We obtain non-asymptotic convergence error estimates in Wasserstein-2 distance for the new class under the best known rate.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00245-025-10269-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Blow Up for Nonlocal Klein-Gordon Equation with Choquard Nonlinearity","authors":"Paulo Cesar Carrião, André Vicente","doi":"10.1007/s00245-025-10280-4","DOIUrl":"10.1007/s00245-025-10280-4","url":null,"abstract":"<div><p>In this paper, we prove a blow-up result for a nonlocal Klein-Gordon equation with a nonlocal Choquard nonlinearity. Additionally, we prove the instability of the ground state solution of the elliptic problem associated with the equation. To prove the blow-up and instability result, using the Pohozaev manifold, we give a new characterization of the ground state level. Finally, we also show a global existence result.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145164639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Long-Time Stabilization of Solutions to the Semilinear Viscoelastic Wave Equation with Analytic Nonlinearity and Time Varying Delay","authors":"Hassan Yassine","doi":"10.1007/s00245-025-10274-2","DOIUrl":"10.1007/s00245-025-10274-2","url":null,"abstract":"<div><p>We consider the nonautonomous viscoelastic wave equation with analytic nonlinearity and time varying delay. By construction of a suitable Lyapunov energy and by using the Łojasiewicz-Simon inequality we show that, when the amplitude of the time delay is small enough, the dissipation given by the viscoelastic term is strong enough to prove the convergence to equilibrium as well as estimates for the rate of convergence for any global bounded solution.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Posteriori Error Estimates for a Bang–Bang Optimal Control Problem","authors":"Francisco Fuica","doi":"10.1007/s00245-025-10276-0","DOIUrl":"10.1007/s00245-025-10276-0","url":null,"abstract":"<div><p>We propose and analyze a posteriori error estimates for a control-constrained optimal control problem with bang–bang solutions. We consider a solution strategy based on the variational approach, where the control variable is not discretized; no Tikhonov regularization is made. We design, for the proposed scheme, a residual-type a posteriori error estimator that can be decomposed as the sum of two individual contributions related to the discretization of the state and adjoint equations. We explore reliability and efficiency properties of the aforementioned error estimator. We illustrate the theory with numerical examples.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Everardo Martinez-Garcia, Fernando Luque-Vásquez, J. Adolfo Minjárez-Sosa
{"title":"Statistical Estimation of Mean-Field Equilibria in a Class of Discounted Mean-Field Games","authors":"E. Everardo Martinez-Garcia, Fernando Luque-Vásquez, J. Adolfo Minjárez-Sosa","doi":"10.1007/s00245-025-10273-3","DOIUrl":"10.1007/s00245-025-10273-3","url":null,"abstract":"<div><p>This work deals with a class of discrete-time mean-field games evolving according to a stochastic difference equation where the random disturbance distribution <span>(theta )</span> is unknown or difficult to handle. The mean-field game is defined on Borel spaces and it is assumed possibly unbounded costs. Then, by combining suitable statistical estimation process of <span>(theta )</span> with the mean-field games theory, we introduce approximation procedures for the mean-field equilibrium under a discounted optimality criterion.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145162013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Regularity and Stabilization of Magneto-Elastic Systems","authors":"Jaime E. Muñoz Rivera, Reinhard Racke","doi":"10.1007/s00245-025-10271-5","DOIUrl":"10.1007/s00245-025-10271-5","url":null,"abstract":"<div><p>We consider the mathematical model for a plate in a bounded reference configuration <span>(Omega subset mathbb {R}^n)</span>, first with <span>(n=2)</span>, which is interacting with <span>(n=2)</span> magnetic fields. The latter have a damping effect. It will be shown that the arising system generates an analytic semigroup and that the estimated exponential decay rate tends to zero if the <i>n</i> constant directing magnetic vectors tend to become linearly dependent. Then, an analogous model for <span>(n=3)</span> will be considered. In the case that there are less than <i>n</i> magnetic fields we prove the strong stability exemplarily for cubes.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Carleman Estimates and Exact Controllability Results for a Transmission System of two Nonconservative wave Equations","authors":"Carole Louis-Rose, Ali Perina, Louis Tebou","doi":"10.1007/s00245-025-10270-6","DOIUrl":"10.1007/s00245-025-10270-6","url":null,"abstract":"<div><p>We consider a transmission system of two nonconservative wave equations with nonconstant coefficients in the one-dimensional setting. We investigate the exact (boundary and internal) controllability of this system using a single control. To solve these exact controllability problems, we rely on the duality approach which consists in proving inverse or observability inequality for the corresponding adjoint system. To prove these observability inequalities, we establish new Carleman estimates for the corresponding uncontrolled transmission system. These Carleman estimates require the introduction of new weight functions adapted to the coefficients of the principal operators. In particular, our Carleman estimates with internal observation are new in the framework of transmission systems.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144108488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bilevel Optimization of the Kantorovich Problem and Its Quadratic Regularization","authors":"Sebastian Hillbrecht, Christian Meyer","doi":"10.1007/s00245-025-10264-4","DOIUrl":"10.1007/s00245-025-10264-4","url":null,"abstract":"<div><p>This paper is concerned with an optimization problem which is governed by the Kantorovich problem of optimal transport. More precisely, we consider a bilevel optimization problem with the underlying problem being the Kantorovich problem. This task can be reformulated as a mathematical problem with complementarity constraints in the space of regular Borel measures. Because of the non-smoothness that is induced by the complementarity constraints, problems of this type are often regularized, e.g., by an entropic regularization. However, in this paper we apply a quadratic regularization to the Kantorovich problem. By doing so, we are able to drastically reduce its dimension while preserving the sparsity structure of the optimal transportation plan as much as possible. As the title indicates, this is the first part of a series of three papers. It deals with the existence of optimal solutions to the bilevel problem and its quadratic regularization, while Parts II and III are devoted to convergence analysis for the vanishing regularization parameters.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144074005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal Investment and Reinsurance of Insurers with a Nonlinear Stochastic Factor Model","authors":"Hiroaki Hata","doi":"10.1007/s00245-025-10265-3","DOIUrl":"10.1007/s00245-025-10265-3","url":null,"abstract":"<div><p>In this paper, we consider an optimal investment and reinsurance problem faced by an insurer. The insurer invests in a market consisting of a riskless asset and <i>m</i> risky assets. The mean returns and volatilities of the risky assets depend nonlinearly on economic factors. These factors are formulated as the solutions of nonlinear stochastic differential equations. The wealth of the insurer is described by the riskless asset, the risky assets, and a Cramér–Lundberg process for reinsurance. Moreover, the insurer’s preferences are described by an exponential utility function [i.e., CARA (Constant Absolute Risk Aversion) utility function]. By adapting the dynamic programming approach, we derive the Hamilton–Jacobi–Bellman (HJB) equation. We also prove the solvability of the HJB equation by approximating it with a sequence of related Dirichlet problems or by using the extended Feynman–Kac formula. Finally, by proving the verification theorem, we construct the optimal strategy. Additionally, the optimal reinsurance strategy, which is a deterministic function, is developed. The optimal strategy is further obtained using the stochastic maximum principle, coupled forward and backward stochastic differential equations (FBSDEs), and by proving the verification theorem.</p></div>","PeriodicalId":55566,"journal":{"name":"Applied Mathematics and Optimization","volume":"91 3","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}