Unbounded convex domains have zero mean curvature on disconnected boundaries.
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Study visibility properties of Kobayashi distance on unbounded domains.
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We show that domains, that allow for convex functions with unbounded gradient at their boundary, are convex.
Study proves Maximum Principles for unbounded Riemannian domains.
For a domain , we introduce the concept of a uniformly defining function. We characterize uniformly defining functions in terms of the signed distance function for the boundary and provide a large class of examples of unbounded domains with uniformly defining functions. Some of ou…
New neural network rates for unbounded domains with weighted Sobolev spaces.
Study finds minimum growth rate for surface solutions.
Given an unbounded domain of a Hadamard manifold , it makes sense to consider the problem of finding minimal graphs with prescribed continuous data on its cone-topology-boundary, i.e., on its ordinary boundary together with its asymptotic boundary. In this article it is proved that under the hypothesis that the …
We introduce a new class of unbounded model subdomains of for the problem. Unlike previous finite type models, these domains need not be bounded by algebraic varieties. In this paper we obtain precise global estimates for the Carnot-Carathéodory metric induced on the boundary of such domains by …
We consider smooth radial solutions to the Hamiltonian stationary equation which are defined away from the origin. We show that in dimension two all radial solutions on unbounded domains must be special Lagrangian. In contrast, for all higher dimensions there exist non-special Lagrangian radial solutions over unbounded…
We investigate, for the Laplacian operator, the existence and nonexistence of eigenfunctions of eigenvalue between zero and the first eigenvalue of the hyperbolic space H^n, for unbounded domains of H^n. If a domain is contained in a horoball, we prove that there is no positive bounded eigenfunction that vanishes on th…
In this paper, we prove the existence of classical solutions of the Dirichlet problem for a class of quasi-linear elliptic equations on unbounded domains like a cone or a U-type domain. This problem comes from the study of mean curvature flow and its generalization, the flow by powers of mean curvature. Our approach is…
The Fock-Bargmann-Hartogs domain () in is defined by the inequality where , which is an unbounded non-hyperbolic domain in . Recently, Yamamori gave an explicit formula for the Bergman kernel of the…
Generalized score matching for densities on general domains.
The paper proves a conjecture about the Bergman metric of real analytic domains.
In this paper, we study existence and uniqueness of solutions to Jenkins-Serrin type problems on domains in a Riemannian surface. In the case of unbounded domains, the study is focused on the hyperbolic plane.
Extends Alexandrov's result to unbounded convex domains in hyperbolic 3-space.
New algorithms solve stochastic variational inequalities without bounded variance assumption.
We study weak solutions to degenerate quasilinear elliptic equations, involving first order terms, in unbounded tubular domains. In particular we show that, under suitable hypotheses, the weak comparison principle holds if the domain is narrow enough.
New analysis shows a gap between Gaussian RKHS and neural networks on unbounded domains.
Paper develops estimators for unbounded density ratios with applications in error control.
The aim of this note is to explain a generalization to the real case of a well known result on the automorphism group of an unbounded tube type symmetric domain in a complex vector space of finite dimension.
Study shows Bergman metric is non-Einstein for certain domains.
We classify the tube domains in C^4 with affinely homogeneous base whose boundary contains a non-degenerate affinely homogeneous hypersurface. It follows that these domains are holomorphically homogeneous and amongst them there are four new examples of unbounded homogeneous domains (that do not have bounded realisation…
We consider minimal graphs u(x,y)>0 over unbounded domains D (with u vanishing on the boundary of D). Assuming D contains a sector properly containing a halfplane, we obtain estimates on growth and provide examples illustrating a range of growth.
New algorithms achieve high-probability parameter-free regret in online convex optimization with heavy-tailed data.
Many engineering problems require identifying feasible domains under implicit constraints. One example is finding acceptable car body styling designs based on constraints like aesthetics and functionality. Current active-learning based methods learn feasible domains for bounded input spaces. However, we usually lack pr…
In this paper, we study the Dirichlet problem associated to the maximal surface equation. We prove the uniqueness of bounded solutions to this problem in unbounded domain in R^2.
Algorithm learns diffusion processes with high-dimensional state spaces.
In this paper, we give a height estimate for constant mean curvature graphs. Using this result we prove two results of uniqueness for the Dirichlet problem associated to the constant mean curvature equation on unbounded domains.
Deep neural networks classify unbounded Gaussian mixture data without dimensionality issues.
The paper examines geometric properties of domains for the p-Laplacian in Euclidean and hyperbolic spaces.
We study the minimal surface equation in the Heisenberg space, Nil_3. A geometric proof of non existence of minimal graphs over non convex, bounded and unbounded domains is achieved (our proof holds in the Euclidean space as well). We solve the Dirichlet problem for the minimal surface equation over bounded and unbound…
New method stabilizes saddle-point optimization with unbounded gradients.
The Einstein/Abelian-Yang-Mills Equations reduce in the stationary and axially symmetric case to a harmonic map with prescribed singularities $\p\colon\R^3\smΣ\to\H^{k+1}_\C$ into the -dimensional complex hyperbolic space. In this paper, we prove the existence and uniqueness of harmonic maps with prescribed sing…
Two Kähler structures are PCR equivalent in the Siegel domain.
The existence and nonexistence of -harmonic functions in unbounded domains of are investigated. We prove that if the Hausdorff measure of the asymptotic boundary of a domain is zero, then there is no bounded -harmonic function of for , where $λ_1(\mathb…
We study a half-space problem related to graphs in , where is the hyperbolic plane, having constant mean curvature defined over unbounded domains in .
In this paper we prove a general and sharp Asymptotic Theorem for minimal surfaces in . As a consequence, we prove that there is no properly immersed minimal surface whose asymptotic boundary is a Jordan curve homologous to zero in the asymptotic boundary of say $\partial_\infty H^2\tim…
Study equi-affine invariants for convex domains with asymptotes.
The paper proves a Willmore-type inequality for unbounded convex sets.
The Fock-Bargmann-Hartogs domain in is defined by the inequality where , which is an unbounded non-hyperbolic domain in . This paper mainly consists of three parts. Firstly, we give the explicit expression o…
We establish an integral test describing the exact cut-off between recurrence and transience for normally reflected Brownian motion in certain unbounded domains in a class of warped product manifolds. Besides extending a previous result by R. Pinsky, who treated the case in which the ambient space is flat, our result r…
In this paper, we shall study the Dirichlet problem for the minimal surfaces equation. We prove some results about the boundary behaviour of a solution of this problem. We describe the behaviour of a non-converging sequence of solutions in term of lines of divergence in the domain. Using this second result, we build so…
We propose a time value related decision function to treat a classical option pricing problem raised by Hutchinson-Lo-Poggio. In numerical experiments, the new decision function significantly improves the original model of Hutchinson-Lo-Poggio with faster convergence and better generalization performance. By proving a …
Self-training improves gradual domain adaptation with unlabeled data.