This paper extends boundary embedding results to coarsely convex spaces.
arXiv research
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New compact mean convex hypersurfaces found for positive λ.
We prove the existence of embedded closed constant curvature curves on convex surfaces.
We consider mean-convex Alexandrov embedded surfaces in the round unit 3-sphere, and show under which conditions it is possible to continuously deform these preserving mean-convex Alexandrov embeddedness.
Randomized Geometric Algebra for Convex Neural Networks Optimizes Transfer Learning.
The study establishes curvature estimates and convexity for a specific type of minimal surfaces.
Smooths out complex shapes into simpler forms.
Paper uses advanced math to embed complex shapes smoothly.
We introduce the moduli space of spectral curves of constant mean curvature (\cmc\hspace{-5pt}) cylinders of finite type in the round unit 3-sphere. The subset of spectral curves of mean-convex Alexandrov embedded cylinders is explicitly determined using a combination of integrable systems and geometric analysis techni…
Establishes smooth Ricci flows from convex surfaces in 3D space.
Investigates neural codes and their embeddings, proving conjectures and introducing new code types.
Theorem proves congruence for compact submanifolds in a sphere.
The study proves the existence of free boundary minimal disks in convex regions.
The paper proves isometric embeddings for smooth manifolds.
The paper proves the existence and properties of geodesics on convex surfaces.
We show that every finite dimensional Hausdorff (not necessarily paracompact, not necessarily second countable) -manifold can be embedded into a weakly complete vector space, i.e. a locally convex topological vector space of the form for an uncountable index set and determine the minimal cardin…
We show that any infinite order element of a virtually cyclic hyperbolically embedded subgroup of a group is Morse, that is to say any quasi-geodesic connecting points in the cyclic group generated by stays close to . This answers a question of Dahmani-Guirardel-Osin. What is more, we show that hyper…
We in this paper propose a realizable framework TECU, which embeds task-specific strategies into update schemes of coordinate descent, for optimizing multivariate non-convex problems with coupled objective functions. On one hand, TECU is capable of improving algorithm efficiencies through embedding productive numerical…
Constructs examples of domains divided by groups in dimensions 3 and above.
We prove that any convex domain of C^2 carries properly embedded complete complex curves. In particular, we exhibit the first examples of complete bounded embedded complex curves in C^2
In this short article we investigate the topology of the moduli space of two-convex embedded tori . We prove that for this moduli space is path-connected, and that for the connected components of the moduli space are in bijective correspondence with the knot…
Compact, non-convex curve flows are created.
Convex surfaces derived from specific Riemannian manifolds with high regularity.
We characterize convex cocompact subgroups of mapping class groups that arise as subgroups of specially embedded right-angled Artin groups. That is, if the right-angled Artin group G in Mod(S) satisfies certain conditions that imply G is quasi-isometrically embedded in Mod(S), then a purely pseudo-Anosov subgroup H of …
We prove that the moduli space of 2-convex embedded n-spheres in R^{n+1} is path-connected for every n. Our proof uses mean curvature flow with surgery and can be seen as an extrinsic analog to Marques' influential proof of the path-connectedness of the moduli space of positive scalar curvature metics on three-manifold…
New ancient solutions found for curvature flow in 2D.
We explore several families of flip-graphs, all related to polygons or punctured polygons. In particular, we consider the topological flip-graphs of once-punctured polygons which, in turn, contain all possible geometric flip-graphs of polygons with a marked point as embedded sub-graphs. Our main focus is on the geometr…
Locally convex compact immersed hypersurfaces in Finsler-Hadamard manifolds with bounded T-curvature are considered. We prove that such hypersurfaces are embedded as the boundary of convex body under certain conditions on the normal curvatures
Study on convex surfaces in Minkowski space, proving completeness and incompleteness conditions.
The paper constructs -hypersurfaces for and .
Compact Special Weingarten surfaces with planar convex boundaries are disks.
We prove a lower bound for the first Steklov eigenvalue of embedded minimal hypersurfaces with free boundary in a compact -dimensional manifold which has nonnegative Ricci curvature and strictly convex boundary. When , this implies apriori area and curvature estimates for these minimal surfaces in terms of the …
NNLMs optimize poorly for word probabilities due to embedding space structure.
In spaces of nonpositive curvature the existence of isometrically embedded flat (hyper)planes is often granted by apparently weaker conditions on large scales. We show that some such results remain valid for metric spaces with non-unique geodesic segments under suitable convexity assumptions on the distance function al…
We prove the convexity estimates of Huisken-Sinestrari for finite-time singularities of mean-convex, mean curvature flow with free boundary in a barrier . Here can be any properly embedded, oriented surface in of bounded geometry. We also give an alternative proof that convex mean curvature flows with …
We give a sharp lower bound on the area of a domain that can be enclosed by a closed embedded -convex curve of a given length on the Lobachevsky plane.
In this paper, we propose a verified numerical method for obtaining a sharp inclusion of the best constant for the embedding on bounded convex domain in . We estimate the best constant by computing the corresponding extremal function using a verified numerical com…
Study of groups and their quasi-isometrically embedded subgroups.
In this paper, we propose a new pooling method called spatial pyramid encoding (SPE) to generate speaker embeddings for text-independent speaker verification. We first partition the output feature maps from a deep residual network (ResNet) into increasingly fine sub-regions and extract speaker embeddings from each sub-…
Paper proposes a new clustering model that preserves cluster recovery with fewer dimensions.
This paper finds a global surface of section in dynamically convex L(p,p-1) using ECH.
Optimizes embedding accuracy for data variance and error.
The success of machine learning methods heavily relies on having an appropriate representation for data at hand. Traditionally, machine learning approaches relied on user-defined heuristics to extract features encoding structural information about data. However, recently there has been a surge in approaches that learn …
Recently Brendle-Huisken introduced a fully nonlinear flow . Their aim was to extend the surgery algorithm of Huisken-Sinestrari, into the Riemannian setting. The aim of this paper is to go through the details on how to perform neck detection for a closed, embedded hypersurface in undergoing…
We show that if C is a simple closed curve bounding an embedded disk in a closed 3-manifold M, then there exists a disk D in M with boundary C such that D minimizes the area among the embedded disks with boundary C. Moreover, D is smooth, minimal and embedded everywhere except where the boundary C meets the interior of…
A new embedding method for high-dimensional data.
The paper explores trading off consistency and dimensionality in convex surrogates for multiclass classification.
Plumbing of surfaces embeds in hyperbolic 4-manifolds.