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Related papers: An immersed $S^{n}$ $\lambda$-hypersurface

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We present a new construction of embedded minimal surfaces in hyperbolic space with $3$ asymptotically totally geodesic ends and arbitrary finite genus.

Differential Geometry · Mathematics 2018-06-01 Asun Jiménez Grande , Graham Smith

In the era of foundation models and Large Language Models (LLMs), Euclidean space has been the de facto geometric setting for machine learning architectures. However, recent literature has demonstrated that this choice comes with…

Machine Learning · Computer Science 2025-11-26 Neil He , Jiahong Liu , Buze Zhang , Ngoc Bui , Ali Maatouk , Menglin Yang , Irwin King , Melanie Weber , Rex Ying

This work presents a reformulation of the recently proposed Wasserstein autoencoder framework on a non-Euclidean manifold, the Poincar\'e ball model of the hyperbolic space. By assuming the latent space to be hyperbolic, we can use its…

Machine Learning · Computer Science 2020-03-18 Ivan Ovinnikov

The main results of the paper are Proposition 3 and 4 which provide an effective way to construct minimal hypersurfaces in a Euclidean space. We demonstrate our technique by several new examples. This note is English translation of an…

Differential Geometry · Mathematics 2016-07-05 Vladimir V. Sergienko , Vladimir G. Tkachev

We introduce a class of k-potential submanifolds in pseudo-Euclidean spaces and prove that for an arbitrary positive integer k and an arbitrary nonnegative integer p, each N-dimensional Frobenius manifold can always be locally realized as…

Differential Geometry · Mathematics 2016-09-08 O. I. Mokhov

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Differential Geometry · Mathematics 2007-05-23 Xuanguo Huang

We develop a degree theory for compact immersed hypersurfaces of prescribed $K$-curvature immersed in a compact, orientable Riemannian manifold, where $K$ is any elliptic curvature function. We apply this theory to count the (algebraic)…

Differential Geometry · Mathematics 2016-10-11 Harold Rosenberg , Graham Smith

Higher dimensional theories, wherein our four dimensional universe is immersed into a bulk ambient, have received much attention recently, and the direction of investigation had, as far as we can discern, all followed the ordinary Euclidean…

General Relativity and Quantum Cosmology · Physics 2020-10-22 Fan Zhang

In this paper, we study hypersurfaces $M_{r}^{4}$ $(r=0, 1, 2, 3, 4)$ satisfying $\triangle \vec{H}=\lambda \vec{H}$ ($\lambda$ a constant) in the pseudo-Euclidean space $\mathbb{E}_{s}^{5}$ $(s=0, 1, 2, 3, 4, 5)$. We obtain that every such…

Differential Geometry · Mathematics 2024-09-16 Ram Shankar Gupta , Andreas Arvanitoyeorgos

This thesis mainly treats two developments of the classical theory of hypersurfaces inside pseudo-Riemannian space forms. The former - a joint work with Francesco Bonsante - consists in the study of immersions of smooth manifolds into…

Differential Geometry · Mathematics 2020-12-16 Christian El Emam

We construct examples of complex algebraic surfaces not admitting normal embeddings (in the sense of semialgebraic or subanalytic sets) with image a complex algebraic surface.

Algebraic Geometry · Mathematics 2011-07-29 Lev Birbrair , Alexandre Fernandes , Walter D Neumann

We use pinched smooth hyperbolization to show that every closed, nonpositively curved $n$-dimensional manifold $M$ can be embedded as a totally geodesic submanifold of a closed, nonpositively curved $(n+1)$-dimensional manifold $\hat{M}$ of…

Differential Geometry · Mathematics 2012-06-15 T. Tam Nguyen Phan

We present an elementary introduction to the construction of integrable models on hyper-elliptic surfaces for non specialists; also, we present some of the details of the paper `solv-int/9504002' for the more interested readers. (Based on a…

solv-int · Physics 2016-09-08 Costas J. Efthimiou , Samwel A. Apikyan

Learning low-dimensional numerical representations from symbolic data, e.g., embedding the nodes of a graph into a geometric space, is an important concept in machine learning. While embedding into Euclidean space is common, recent…

Machine Learning · Computer Science 2024-10-10 Thomas Bläsius , Jean-Pierre von der Heydt , Maximilian Katzmann , Nikolai Maas

We show that any compact almost-complex manifold of complex dimension m can be pseudo-holomorphically embedded in R^(6m) equipped with a suitable almost-complex structure.

Differential Geometry · Mathematics 2011-07-18 Antonio J. Di Scala , Daniele Zuddas

We consider closed hypersurfaces smoothly immersed in hyperbolic manifolds up to homotopy and commensurability. We prove that if a closed hyperbolic manifold $M$ contains a sequence of asymptotically geodesic hypersurfaces, then $\pi_1(M)$…

Geometric Topology · Mathematics 2026-03-27 Xiaolong Hans Han , Ruojing Jiang

We solve Blaschke's problem for hypersurfaces of dimension $n\geq 3$. Namely, we determine all pairs of Euclidean hypersurfaces $f,\tilde{f}\colon M^n\to\R^{n+1}$ that induce conformal metrics on $M^n$ and envelope a common sphere…

Differential Geometry · Mathematics 2007-05-23 Marcos Dajczer , Ruy Tojeiro

In this paper, we prove that a closed minimally immersed hypersurface $M^4\subset\mathbb S^5$ with constant $S:=\sum\limits_{i=1}^4\lambda_i^2$ and $A_3:=\sum\limits_{i=1}^4\lambda_i^3$ whose scalar curvature $R_M$ is nonnegative must be…

Differential Geometry · Mathematics 2025-04-01 Joel Spruck , Ling Xiao

We introduce the notion of translational Riemannian manifolds and define a Gauss map for orientable immersed hypersurfaces lying in these ambients, an associated translational curvature and prove a Gauss-Bonnet theorem. We also use this…

Differential Geometry · Mathematics 2016-09-16 Eduardo R. Longa , Jaime B. Ripoll

Interfacial reconstruction between two-dimensional (2D) materials and metal substrates fundamentally governs heterostructure properties, yet conventional flat substrates fail to capture the continuous crystallographic landscape. Here, we…

Mesoscale and Nanoscale Physics · Physics 2026-01-01 Li-Qun Shen , Hao-Jin Wang , Mengzhao Sun , Yang Xiang , Xin-Ning Tian , Yue Chai , Yue Yang , Feng Ding , Xiao Kong , Marc-Georg Willinger , Zhu-Jun Wang