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In this paper we prove the local boundedness as well as the local Lipschitz continuity for solutions to a class of obstacle problems of the type $$\min\left\{\int_\Omega {F(x, Dz)}: z\in \mathcal{K}_{\psi}(\Omega)\right\}.$$ Here…

偏微分方程分析 · 数学 2023-05-25 Michele Caselli , Michela Eleuteri , Antonia Passarelli di Napoli

We establish some higher differentiability results for solution to non-autonomous obstacle problems of the form \begin{equation*} \min \left\{\int_{\Omega}f\left(x, Dv(x)\right)dx\,:\, v\in \mathcal{K}_\psi(\Omega)\right\}, \end{equation*}…

偏微分方程分析 · 数学 2022-01-20 Andrea Gentile , Raffaella Giova

The aim of the paper is to show that the solutions to variational problems with non-standard growth conditions satisfy a corresponding variational inequality without any smallness assumptions on the gap between growth and coercitivity…

偏微分方程分析 · 数学 2020-10-09 Michela Eleuteri , Antonia Passarelli di Napoli

In this paper we are concerned with global maximal regularity estimates for elliptic equations with degenerate weights. We consider both the linear case and the non-linear case. We show that higher integrability of the gradients can be…

偏微分方程分析 · 数学 2022-01-11 Anna Kh. Balci , Sun-Sig Byun , Lars Diening , Ho-Sik Lee

We establish sharp global regularity results for solutions to nonhomogeneous, nonunifomrly elliptic systems with zero boundary conditions. In particular, we obtain everywhere Lipschitz continuity under borderline Lorentz assumptions on the…

偏微分方程分析 · 数学 2022-07-01 Cristiana De Filippis , Mirco Piccinini

We study minimizers of non-autonomous functionals \begin{align*} \inf_u \int_\Omega \varphi(x,|\nabla u|) \, dx \end{align*} when $\varphi$ has generalized Orlicz growth. We consider the case where the upper growth rate of $\varphi$ is…

偏微分方程分析 · 数学 2022-09-27 Petteri Harjulehto , Peter Hästö , Jonne Juusti

In this paper we present a new proof of the sufficiency theorem for strong local minimizers concerning $C^1$-extremals at which the second variation is strictly positive. The results are presented in the quasiconvex setting, in accordance…

偏微分方程分析 · 数学 2017-03-14 Judith Campos Cordero

Minimax problems have achieved success in machine learning such as adversarial training, robust optimization, reinforcement learning. For theoretical analysis, current optimal excess risk bounds, which are composed by generalization error…

机器学习 · 计算机科学 2024-10-14 Bowei Zhu , Shaojie Li , Yong Liu

We develop a rigorous framework for global non-convex optimization by reformulating the minimization problem as a discounted infinite-horizon optimal control problem. For non-convex, continuous, and possibly non-smooth objective functions…

最优化与控制 · 数学 2026-03-31 Yuyang Huang , Dante Kalise , Hicham Kouhkouh

We develop the stochastic two-scale convergence method in the framework of Orlicz-Sobolev spaces, in order to deal with the homogenization of coupled stochastic-periodic problems in such spaces. One fundamental in this topic is the…

偏微分方程分析 · 数学 2025-10-17 Dongho Joseph , Fotso Tachago Joel , Tchinda Takougoum Franck

We study existence of minimisers to the least gradient problem on a strictly convex domain in two settings. On a bounded domain, we allow the boundary data to be discontinuous and prove existence of minimisers in terms of the Hausdorff…

偏微分方程分析 · 数学 2018-11-28 Wojciech Górny

We consider the problem of minimizing the Lagrangian $\int [F(\nabla u)+f\,u]$ among functions on $\Omega\subset\mathbb{R}^N$ with given boundary datum $\varphi$. We prove Lipschitz regularity up to the boundary for solutions of this…

偏微分方程分析 · 数学 2015-04-24 Pierre Bousquet , Lorenzo Brasco

We establish two global boundedness results for weak solutions to generalized Schr\"{o}dinger-type double phase problems with variable exponents in $\mathbb{R}^N$ under new critical growth conditions optimally introduced in [26, 32]. More…

偏微分方程分析 · 数学 2026-04-23 Hoang Hai Ha , Ky Ho , Bui The Quan , Inbo Sim

We prove three related quantitative results for the relative isoperimetric problem outside a convex body $\Omega$ in the plane: (1) {\L}ojasiewicz estimates and quantitative rigidity for critical points, (2) rates of convergence for the…

偏微分方程分析 · 数学 2025-12-02 Elena Mäder-Baumdicker , Robin Neumayer , Jiewon Park , Melanie Rupflin

Over the last years, minimization problems over spaces of measures have received increased interest due to their relevance in the context of inverse problems, optimal control and machine learning. A fundamental role in their numerical…

最优化与控制 · 数学 2024-03-19 Gerd Wachsmuth , Daniel Walter

We establish novel generalization bounds for learning algorithms that converge to global minima. We do so by deriving black-box stability results that only depend on the convergence of a learning algorithm and the geometry around the…

机器学习 · 统计学 2017-10-25 Zachary Charles , Dimitris Papailiopoulos

This paper extends the Concentration-Compactness Principle to Musielak-Orlicz spaces, working in both bounded and unbounded domains. We show that our results include important special cases like classical Orlicz spaces, variable exponent…

偏微分方程分析 · 数学 2025-09-16 Ala Eddine Bahrouni , Anouar Bahrouni

The aim of this paper is to deal with the asymptotics of generalized Orlicz norms when the lower growth rate tends to infinity. $\Gamma$-convergence results and related representation theorems in terms of $L^\infty$ functionals are proven…

偏微分方程分析 · 数学 2024-06-25 Giacomo Bertazzoni , Michela Eleuteri , Elvira Zappale

We study local and global higher integrability properties for quasiminimizers of a class of double-phase integrals characterized by nonstandard growth conditions. We work purely on a variational level in the setting of a metric measure…

偏微分方程分析 · 数学 2023-08-10 Juha Kinnunen , Antonella Nastasi , Cintia Pacchiano Camacho

This paper is concerned with the existence and regularity of mininizers as well as of corresponding multipliers to an optimal control problem governed by semilinear elliptic equations, in which mixed pointwise control-state constraints are…

最优化与控制 · 数学 2023-11-28 Vu Huu Nhu , Nguyen Quoc Tuan , Nguyen Bang Giang , Nguyen Thi Thu Huong