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We study jets of germs of holomorphic maps between two strongly pseudoconvex domains under the condition that the image of one domain is contained into the other and a given boundary point is (non-tangentially) mapped to a given boundary…

Complex Variables · Mathematics 2007-05-23 Filippo Bracci , Dmitri Zaitsev

We study the plurisubharmonic envelopes of functions in the setting of domains in $\mathbb C^n$. In particular we prove a complex analogue of a result of De Philippis and Figalli concerning the optimal regularity of such envelopes in smooth…

Complex Variables · Mathematics 2017-06-20 Slawomir Dinew

In many machine learning domains, datasets are characterized by highly imbalanced and overlapping classes. Particularly in the medical domain, a specific list of symptoms can be labeled as one of various different conditions. Some of these…

Machine Learning · Computer Science 2020-06-03 Ran Ilan Ber , Tom Haramaty

In this paper, we consider the problem of covering a plane region with unit discs. We present an improved upper bound and the first nontrivial lower bound on the number of discs needed for such a covering, depending on the area and…

Computational Geometry · Computer Science 2021-08-03 Shai Gul , Reuven Cohen , Simi Haber

We consider an elliptic pseudo differential equation in a multi-dimensional cone and starting wave factorization concept we add some boundary conditions. For the simplest cases explicit formulas for solution are given like layer potentials…

Analysis of PDEs · Mathematics 2014-09-17 Vladimir Vasilyev

In this paper, finite type domains with hyperbolic orbit accumulation points are studied. We prove, in case of $\mathbb{C}^2$, it has to be a (global) pseudoconvex domain, after an assumption of boundary regularity. Moreover, one of the…

Complex Variables · Mathematics 2014-01-14 Bingyuan Liu

Accurate contraction of tensor networks beyond one dimension is essential in various fields including quantum many-body physics. Existing approaches typically rely on approximate contraction schemes and do not provide certified error bars.…

Strongly Correlated Electrons · Physics 2026-03-19 Seishiro Ono , Yanbai Zhang , Hoi Chun Po

We show that two smoothly bounded, strongly pseudoconvex domains which are diffeomorphic may be smoothly deformed into each other, with all intermediate domains being strongly pseudoconvex. This result relates to Lempert's ideas about…

Complex Variables · Mathematics 2010-04-22 Steven G. Krantz

We consider the Navier-Stokes equations in a three-dimensional curved thin domain around a given closed surface under Navier's slip boundary conditions. When the thickness of the thin domain is sufficiently small, we establish the global…

Analysis of PDEs · Mathematics 2020-12-30 Tatsu-Hiko Miura

We consider scalar equilibrium problems governed by a bifunction in a finite-dimensional framework. By using classical arguments in Convex Analysis, we show that under suitable generalized convexity assumptions imposed on the bifunction,…

Optimization and Control · Mathematics 2024-01-02 Valerian-Alin Fodor , Nicolae Popovici

A regression problem with dependent data is considered. Regularity assumptions on the dependency of the data are introduced, and it is shown that under suitable structural assumptions on the regression function a deep recurrent neural…

Machine Learning · Statistics 2020-11-03 Michael Kohler , Adam Krzyzak

We study bounded pseudoconvex domains in complex Euclidean spaces. We find analytical necessary conditions and geometric sufficient conditions for a domain being of trivial Diederich--Forn\ae ss index (i.e. the index equals to 1). We also…

Complex Variables · Mathematics 2017-09-21 Bingyuan Liu

In multiple scientific and technological applications we face the problem of having low dimensional data to be justified by a linear model defined in a high dimensional parameter space. The difference in dimensionality makes the problem…

Other Computer Science · Computer Science 2016-08-04 Jorge Fernandez-de-Cossio-Diaz , Roberto Mulet

We study the problem of super-resolving a superposition of point sources from noisy low-pass data with a cut-off frequency f. Solving a tractable convex program is shown to locate the elements of the support with high precision as long as…

Information Theory · Computer Science 2013-06-03 Carlos Fernandez-Granda

We establish well posedness of the Poisson problem in weak local John domains, for linear second order elliptic equations with real coefficients, and with data in weighted Lebesgue spaces with a very broad range of acceptable parameters.

Analysis of PDEs · Mathematics 2026-03-24 Ariel Barton , Svitlana Mayboroda , Alberto Pacati

In information theory, some optimization problems result in convex optimization problems on strictly convex functionals of probability densities. In this note, we study these problems and show conditions of minimizers and the uniqueness of…

Information Theory · Computer Science 2020-03-17 Tomohiro Nishiyama

Inverse source approaches have shown their relevance for several applications in the past years. They rely on the solution of an ill-posed problem where near-field/current data is reconstructed starting from far-field (or less informative…

Numerical Analysis · Mathematics 2022-05-10 Ermanno Citraro , Alexandre Dély , Adrien Merlini , Francesco Paolo Andriulli

We prove the subsolution theorem for the complex Hessian equations in a smoothly bounded strongly $m$-pseudoconvex domain, $1 < m < n$, in $\bC^n$.

Complex Variables · Mathematics 2015-01-06 Ngoc Cuong Nguyen

For any pseudoconvex Runge domain $\Omega\subset\mathbb{C}^2$ we prove that every closed discrete subset in $\Omega$ is contained in a properly embedded complex curve in $\Omega$ with any prescribed topology (possibly infinite).

Complex Variables · Mathematics 2018-01-08 Antonio Alarcon

In this article we propose a generalization of the 2-dimensional notions of convexity resp. being star-shaped to symplectic vector spaces. We call such curves symplectically convex resp. symplectically star-shaped. After presenting some…

Symplectic Geometry · Mathematics 2022-12-29 Peter Albers , Serge Tabachnikov