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Related papers: Maximal Estimates for the $\bar\partial$-Neumann P…

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For a domain $D$ of $\mathbb{C}^n$ which is weakly $q$-pseudoconvex or $q$-pseudoconcave we give a sufficient condition for subelliptic estimates for the $\bar{\partial}$-Neumann problem. The paper extends to domains which are not…

Complex Variables · Mathematics 2008-04-22 Tran Vu Khanh , Giuseppe Zampieri

This paper treats subelliptic estimates for the $\bar{\partial}$-Neumann problem on a class of domains known as regular coordinate domains. Our main result is that the largest subelliptic gain for a regular coordinate domain is bounded…

Complex Variables · Mathematics 2008-11-07 David W. Catlin , Jae-Seong Cho

We give a sufficient condition for subelliptic estimates for the d-bar-Neumann operator on smoothly bounded, pseudoconvex domains in $\mathbb{C}^n$. This condition is a quantified version of McNeal's condition ($\tilde{P}$) for compactness…

Complex Variables · Mathematics 2011-10-10 Anne-Katrin Herbig

We show error estimates for a cut finite element approximation of a second order elliptic problem with mixed boundary conditions. The error estimates are of low regularity type where we consider the case when the exact solution $u \in H^s$…

Numerical Analysis · Mathematics 2020-07-07 Erik Burman , Peter Hansbo , Mats G. Larson

We solve the Dirichlet problem for fully nonlinear elliptic equations on Riemannian manifolds under essentially optimal structure conditions, especially with no restrictions to the curvature of the underlying manifold and the second…

Analysis of PDEs · Mathematics 2018-08-30 Bo Guan

In this paper, we obtain optimal upper bounds for all the Neumann eigenvalues in two situations (that are closely related). First we consider a one-dimensional Sturm-Liouville eigenvalue problem where the density is a function $h(x)$ whose…

Analysis of PDEs · Mathematics 2022-12-01 Antoine Henrot , Marco Michetti

The paper presents analytic expressions of minimax (worst-case) estimates for solutions of linear abstract Neumann problems in Hilbert space with uncertain (not necessarily bounded!) inputs and boundary conditions given incomplete…

Optimization and Control · Mathematics 2017-12-27 Alexander Nakonechnyi , Sergiy Zhuk

We derive a priori estimates for second order derivatives of solutions to a wide calss of fully nonlinear elliptic equations on Riemannian manifolds. The equations we consider naturally appear in geometric problems and other applications…

Analysis of PDEs · Mathematics 2014-01-30 Bo Guan , Heming Jiao

We consider the Cauchy problem for non-autonomous forms inducing elliptic operators in divergence form with Dirichlet, Neumann, or mixed boundary conditions on an open subset $\Omega$ $\subseteq$ R n. We obtain maximal regularity in L 2…

Functional Analysis · Mathematics 2019-12-06 Pascal Auscher , Moritz Egert

We introduce a new integral representation formula in the d-bar Neumann Theory on weakly pseudoconvex domains which satisfies certain estimates analogous to the basic L^2 estimate. It is expected that more complete estimates can be obtained…

Complex Variables · Mathematics 2016-01-20 R. Michael Range

In this paper, we present some new necessary and sufficient optimality conditions in terms of the Clarke subdifferentials for approximate Pareto solutions of a nonsmooth vector optimization problem which has an infinite number of…

Optimization and Control · Mathematics 2019-05-14 Ta Quang Son , Nguyen Van Tuyen , Ching-Feng Wen

For smooth bounded pseudoconvex domains in $mathbb{C}^{2}$, we provide geometric conditions on (the points of infinite type in) the boundary which imply compactness of the $\bar{\partial}$-Neumann operator. It is noteworthy that the proof…

Complex Variables · Mathematics 2007-05-23 Emil J. Straube

We show that a general estimate in the $\dib$-Neumann problem implies a upper bound on the order of contact of a complex curve with the boundary and a lower bound on the rate of the Levi form of a bounded family of weights.

Complex Variables · Mathematics 2010-11-05 T. V. Khanh , Giuseppe Zampieri

Consider the Boltzmann equation in a general non-convex domain with the diffuse boundary condition. We establish optimal BV estimates for such solutions. Our method consists of a new $W^{1,1}-$trace estimate for the diffuse boundary…

Analysis of PDEs · Mathematics 2018-09-11 Yan Guo , Chanwoo Kim , Daniela Tonon , Ariane Trescases

In \cite{cheung2019optimally}, the authors presented two finite element methods for approximating second order boundary value problems on polytopial meshes with optimal accuracy without having to utilize curvilinear mappings. This was done…

Numerical Analysis · Mathematics 2023-01-11 James Cheung

The paper deals with finite element approximations of elliptic Dirichlet boundary control problems posed on two-dimensional polygonal domains. Error estimates are derived for the approximation of the control and the state variables. Special…

Numerical Analysis · Mathematics 2019-01-28 Thomas Apel , Mariano Mateos , Johannes Pfefferer , Arnd Rösch

Let $1\leq q\leq (n-1)$. We first show that a necessary condition for a Hankel operator on $(0,q-1)$-forms on a convex domain to be compact is that its symbol is holomorphic along $q$-dimensional analytic varieties in the boundary. Because…

Complex Variables · Mathematics 2021-03-08 Mehmet Celik , Sonmez Sahutoglu , Emil J. Straube

We prove optimality conditions for different variational functionals containing left and right Caputo fractional derivatives. A sufficient condition of minimization under an appropriate convexity assumption is given. An Euler-Lagrange…

Optimization and Control · Mathematics 2010-10-06 Ricardo Almeida , Delfim F. M. Torres

The $L^2$ theory of the $\bar\partial$ operator on domains in $\mathbb{C}^n$ is predicated on establishing a good basic estimate. Typically, one proves not a single basic estimate but a family of basic estimates that we call a family of…

Complex Variables · Mathematics 2019-04-23 Phillip S. Harrington , Andrew Raich

Approximating solutions of ordinary and partial differential equations constitutes a significant challenge. Based on functional expressions that inherently depend on neural networks, neural forms are specifically designed to precisely…

Artificial Intelligence · Computer Science 2024-09-27 Adam D. Kypriadis , Isaac E. Lagaris , Aristidis Likas , Konstantinos E. Parsopoulos
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