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We give a sharp characterization of how additional integrability in the interior improves the integrability of boundary traces of $\mathrm{W}^{1,p}$-Sobolev functions. The optimality of our results relies on a novel nonlinear extension or…

Functional Analysis · Mathematics 2026-02-10 Robert Denk , Franz Gmeineder , Paul Stephan

We propose a new approach to non-parametric density estimation that is based on regularizing a Sobolev norm of the density. This method is statistically consistent, and makes the inductive bias of the model clear and interpretable. While…

Machine Learning · Statistics 2024-02-15 Mark Kozdoba , Binyamin Perets , Shie Mannor

For a class of reducible Hamiltonian partial differential equations (PDEs) with arbitrary spatial dimensions, quantified by a quadratic polynomial with time-dependent coefficients, we present a comprehensive classification of long-term…

Analysis of PDEs · Mathematics 2025-05-08 Zhenguo Liang , Jiawen Luo , Zhiyan Zhao

We derive a new criterion for a real-valued function $u$ to be in the Sobolev space $W^{1,2}(\R^n)$. This criterion consists of comparing the value of a functional $\int f(u)$ with the values of the same functional applied to convolutions…

Functional Analysis · Mathematics 2007-05-23 Mark A. Peletier , Robert Planqué , Matthias Röger

We study the higher regularity of free boundaries in obstacle problems for integro-differential operators with drift, like $(-\Delta)^s +b\cdot\nabla$, in the subcritical regime $s>\frac{1}{2}$. Our main result states that once the free…

Analysis of PDEs · Mathematics 2020-11-19 Teo Kukuljan

The solvability in Sobolev spaces is proved for divergence form second order elliptic equations in the whole space, a half space, and a bounded Lipschitz domain. For equations in the whole space or a half space, the leading coefficients…

Analysis of PDEs · Mathematics 2009-11-13 Hongjie Dong , Doyoon Kim

We consider an elliptic Kolmogorov equation $\lambda u - Ku = f$ in a separable Hilbert space $H$. The Kolmogorov operator $K$ is associated to an infinite dimensional convex gradient system: $dX = (AX - DU(X))dt + dW (t)$, where $A $ is a…

Analysis of PDEs · Mathematics 2014-06-11 Giuseppe Da Prato , Alessandra Lunardi

We establish the global gradient bounds for weak solutions to the elliptic variational inequality with two-sided obstructions, associated with a $p(x)$-Laplacian type operator involving degenerate or singular matrix weights. Under the…

Analysis of PDEs · Mathematics 2026-01-05 Minh-Phuong Tran , Duc-Quang Bui , Thanh-Nhan Nguyen

We establish partial regularity for vector-valued solutions to inhomogeneous elliptic systems in divergence form where the coefficients are possibly discontinuous with respect to $x$. More precisely, we assume a VMO-condition with respect…

Analysis of PDEs · Mathematics 2013-07-09 Taku Kanazawa

We study the existence, uniqueness, and regularity of weak solutions to a class of obstacle problems, where the obstacle condition can be imposed on a subset of the domain. In particular, we establish the optimal H\"older regularity for…

Analysis of PDEs · Mathematics 2025-01-28 Ki-Ahm Lee , Se-Chan Lee , Waldemar Schefer

In this note, we give an introduction to the concept of maximal $L^p$-regularity as a method to solve nonlinear partial differential equations. We first define maximal regularity for autonomous and non-autonomous problems and describe the…

Analysis of PDEs · Mathematics 2022-02-23 Robert Denk

Given a compact metric graph $\Gamma$ and the Laplacian $\Delta_{\Gamma}$ coupled with standard (Kirchhoff) vertex conditions, solutions to fractional elliptic partial differential equations of the form $(\kappa^2 -…

Analysis of PDEs · Mathematics 2025-12-16 Elsiddig Awadelkarim , David Bolin , Alexandre B. Simas

We consider a quasilinear parabolic stochastic partial differential equation driven by a multiplicative noise and study regularity properties of its weak solution satisfying classical a priori estimates. In particular, we determine…

Numerical Analysis · Mathematics 2015-03-13 Arnaud Debussche , Sylvain De Moor , Martina Hofmanova

In this paper, we study the regularity assumptions commonly adopted in bilevel optimization with constrained lower-level problems, including the linear independence constraint qualification, the strict complementary slackness condition, and…

Optimization and Control · Mathematics 2026-05-15 Xiaotian Jiang , Chang He , Mingyi Hong , Shuzhong Zhang

On an abstract Wiener space, assume that T is the solution of the quadratic Monge problem associated to the Wiener measure and a second one with a Radon-Nikodym derivative of exponential type. Under the finite information hypothesis, using…

Probability · Mathematics 2024-08-27 Ali Suleyman Ustunel

We obtain an improved Sobolev inequality in H^s spaces involving Morrey norms. This refinement yields a direct proof of the existence of optimizers and the compactness up to symmetry of optimizing sequences for the usual Sobolev embedding.…

Analysis of PDEs · Mathematics 2013-02-26 Giampiero Palatucci , Adriano Pisante

We establish a new regularity property for weak solutions of parabolic systems with coefficients depending measurably on time as well as on all spatial variables. Namely, weak solutions are locally H{\"o}lder continuous Lp valued functions…

Analysis of PDEs · Mathematics 2018-09-05 Pascal Auscher , Simon Bortz , Moritz Egert , Olli Saari

This manuscript explores novel complexity results for the feasibility problem over $p$-order cones, extending the foundational work of Porkolab and Khachiyan. By leveraging the intrinsic structure of $p$-order cones, we derive refined…

Optimization and Control · Mathematics 2025-07-23 Víctor Blanco , Victor Magron , Miguel Martínez-Antón

We study the obstacle problem for parabolic operators of the type $\partial_t + L$, where $L$ is an elliptic integro-differential operator of order $2s$, such as $(-\Delta)^s$, in the supercritical regime $s \in (0,{1/2})$. The best result…

Analysis of PDEs · Mathematics 2023-07-11 Xavier Ros-Oton , Clara Torres-Latorre

By selecting different filter functions, spectral algorithms can generate various regularization methods to solve statistical inverse problems within the learning-from-samples framework. This paper combines distributed spectral algorithms…

Machine Learning · Statistics 2025-02-18 Jiading Liu , Lei Shi
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