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Let $\mathcal{L}_\epsilon$ be a family of elliptic systems of linear elasticity with rapidly oscillating periodic coefficients. We obtain the uniform $W^{1,p}$ estimate in a Lipschitz domain for solutions to the Dirichlet problem, where…

Analysis of PDEs · Mathematics 2011-03-30 Jun Geng , Zhongwei Shen , Liang Song

This paper studies the $\ell^p$-Lipschitz constants of ReLU neural networks $\Phi: \mathbb{R}^d \to \mathbb{R}$ with random parameters for $p \in [1,\infty]$. The distribution of the weights follows a variant of the He initialization and…

Machine Learning · Statistics 2025-06-25 Sjoerd Dirksen , Patrick Finke , Paul Geuchen , Dominik Stöger , Felix Voigtlaender

We settle the issue of well-posedness for the Dirichlet problem for a higher order elliptic system ${\mathcal L}(x,D_x)$ with complex-valued, bounded, measurable coefficients in a Lipschitz domain $\Omega$, with boundary data in Besov…

Analysis of PDEs · Mathematics 2007-05-23 Vladimir Maz'ya , Marius Mitrea , Tatyana Shaposhnikova

We establish the Lipschitz regularity of the a priori bounded local minimizers of integral functionals with non autonomous energy densities satisfying non standard growth conditions under a sharp bound on the gap between the growth and the…

Analysis of PDEs · Mathematics 2023-10-10 Michela Eleuteri , Antonia Passarelli di Napoli

In this paper we investigate elliptic partial differential equations on Lipschitz domains in the plane whose coefficient matrices have small (but possibly nonzero) imaginary parts and depend only on one of the two coordinates. We show that…

Analysis of PDEs · Mathematics 2009-11-19 Ariel Barton

We investigate $L^p$ boundedness of the maximal Bochner-Riesz means for self-adjoint operators of elliptic type. Assuming the finite speed of propagation for the associated wave operator, from the restriction type estimates we establish the…

Analysis of PDEs · Mathematics 2018-03-12 Peng Chen , Sanghyuk Lee , Adam Sikora , Lixin Yan

We develop a higher regularity theory for general quasilinear elliptic equations and systems in divergence form with random coefficients. The main result is a large-scale $L^\infty$-type estimate for the gradient of a solution. The estimate…

Analysis of PDEs · Mathematics 2016-01-27 Scott N. Armstrong , Jean-Christophe Mourrat

For any fixed $p>2$, a necessary and sufficient condition is obtained for the boundedness of the Riesz transforms associated with second order elliptic operators with real, symmetric, bounded measurable coefficients.

Analysis of PDEs · Mathematics 2007-05-23 Zhongwei Shen

In analogy with bilinear Riesz potentials, we introduce bilinear Bessel potentials and characterize their boundedness from $L^p\times L^q$ into Lebesgue and Lorentz spaces $L^{r,\alpha}.$ In several cases we identify the optimal Lorentz…

Functional Analysis · Mathematics 2026-03-18 Ana Čolović , Xinyu Gao

We prove $L^p$ bounds in the range $1<p<\infty$ for a maximal dyadic sum operator on $\rn$. This maximal operator provides a discrete multidimensional model of Carleson's operator. Its boundedness is obtained by a simple twist of the proof…

Classical Analysis and ODEs · Mathematics 2007-05-23 Loukas Grafakos , Terence Tao , Erin Terwilleger

We provide a sharp and optimal generic bound for the angle of the sectorial form associated to a non-symmetric second-order elliptic differential operator with various boundary conditions. Consequently this gives an, in general, sharper…

Analysis of PDEs · Mathematics 2019-12-20 Antonius Frederik Maria ter Elst , Joachim Rehberg , Alexander Linke

In this paper we study $L_p$-norm spherical copulas for arbitrary $p \in [1,\infty]$ and arbitrary dimensions. The study is motivated by a conjecture that these distributions lead to a sharp bound for the value of a certain generalized mean…

Statistics Theory · Mathematics 2022-06-22 Carole Bernard , Alfred Müller , Marco Oesting

We develop a new real-variable method for weighted $L^p$ estimates. The method is applied to the study of weighted $W^{1, 2}$ estimates in Lipschitz domains for weak solutions of second-order elliptic systems in divergence form with bounded…

Analysis of PDEs · Mathematics 2020-04-08 Zhongwei Shen

We provide a general approach to Lipschitz regularity of solutions for a large class of vector-valued, nonautonomous variational problems exhibiting nonuniform ellipticity. The functionals considered here range amongst those with unbalanced…

Analysis of PDEs · Mathematics 2021-08-02 Cristiana De Filippis , Giuseppe Mingione

The present paper establishes a certain duality between the Dirichlet and Regularity problems for elliptic operators with $t$-independent complex bounded measurable coefficients ($t$ being the transversal direction to the boundary). To be…

Analysis of PDEs · Mathematics 2014-07-01 Steve Hofmann , Carlos Kenig , Svitlana Mayboroda , Jill Pipher

In the paper arXiv:1708.02289 we have introduced new solvability methods for strongly elliptic second order systems in divergence form on a domains above a Lipschitz graph, satisfying $L^p$-boundary data for $p$ near $2$. The main novel…

Analysis of PDEs · Mathematics 2020-06-24 Martin Dindoš

In this paper we are concerned with resolvent estimates for the Laplacian $\Delta$ in Euclidean spaces. Uniform resolvent estimates for $\Delta$ were shown by Kenig, Ruiz and Sogge \cite{KRS} who established rather a complete description of…

Classical Analysis and ODEs · Mathematics 2019-09-04 Yehyun Kwon , Sanghyuk Lee

We prove an $L^p$-spectral multiplier theorem for sub-Laplacians on Heisenberg type groups under the sharp regularity condition $s>d\left|1/p-1/2\right|$, where $d$ is the topological dimension of the underlying group. Our approach relies…

Analysis of PDEs · Mathematics 2025-02-11 Lars Niedorf

We study $L^p$ bounds for two kinds of Riesz transforms on $\mathbb{R}^d$ related to the harmonic oscillator. We pursue an explicit estimate of their $L^p$ norms that is independent of the dimension $d$ and linear in $\max(p, p/(p-1))$.

Functional Analysis · Mathematics 2021-05-24 Maciej Kucharski

Computing tight Lipschitz bounds for deep neural networks is crucial for analyzing their robustness and stability, but existing approaches either produce relatively conservative estimates or rely on semidefinite programming (SDP)…

Machine Learning · Computer Science 2025-03-19 Usman Syed , Bin Hu