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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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48 results for ℓ_p Euclidean power means

In this paper we refine the construction and related estimates for complete Constant Mean Curvature surfaces in Euclidean three-space developed in Kapouleas (1990) by adopting the more precise and powerful version of the methodology which was developed in Kapouleas (1995). As a consequence we remove the severe restrict…

2012-10-11abs ↗pdf ↗

We consider the flow of closed convex hypersurfaces in Euclidean space Rn+1\mathbb{R}^{n+1} with speed given by a power of the kk-th mean curvature EkE_k plus a global term chosen to impose a constraint involving the enclosed volume Vn+1V_{n+1} and the mixed volume Vn+1kV_{n+1-k} of the evolving hypersurface. We prove that i…

2017-08-14abs ↗pdf ↗

No compact surfaces with specific curvature can exist near singular limits.

problem Existence of surfaces with prescribed mean curvature near singular limits.
method Analyzing mappings and Delaunay tori in Euclidean 3-space.
result No parametric surface with the specified curvature exists near singular limits.

The study characterizes round spheres in Euclidean space based on r-mean curvature conditions.

problem Characterizing round spheres in Euclidean space under specific curvature conditions.
method Characterization based on r-mean curvature conditions.
result Characterizes round spheres in Euclidean space under suitable r-mean curvature conditions.

Evolving smooth, compact hypersurfaces in R^{n+1} with normal speed equal to a positive power k of the mean curvature improves a certain 'isoperimetric difference' for k >= n-1. As singularities may develop before the volume goes to zero, we develop a weak level-set formulation for such flows and show that the above mo…

2006-06-27abs ↗pdf ↗

Constructs hyperspheres with prescribed mean curvature in Euclidean space.

problem Creating hyperspheres with a specific curvature in Euclidean space.
method Constructs families of smooth functions to fill Euclidean space with hyperspheres of prescribed mean curvature.
result Euclidean space can be filled with hyperspheres of prescribed mean curvature.

Investigates differences in solving mean curvature problems in Euclidean and Lorentz-Minkowski spaces.

problem Solving the Dirichlet problem for mean curvature equations in different spacetimes.
method Compares techniques and conditions for solvability in Euclidean and Lorentz-Minkowski spaces.
result Lorentz-Minkowski spacelike condition allows dropping mean convexity hypothesis.

Estimates statistical power for cluster analysis in biomedical research.

problem Lack of established methods to compute a priori statistical power for cluster analysis.
method Simulation studies varying subgroup size, number, separation, and covariance structure.
result Sufficient statistical power achieved with small samples (N=20-30) for large effect sizes.

Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.

problem Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.
method Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.
result Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.

A new derivation is given of Branson's factorization formula for the conformally invariant operator on the sphere whose principal part is the k-th power of the scalar Laplacian. The derivation deduces Branson's formula from knowledge of the corresponding conformally invariant operator on Euclidean space (the k-th power…

2007-11-29abs ↗pdf ↗

The paper proves a theorem about mean curvature in Euclidean and hyperbolic spaces.

problem Proving a theorem about mean curvature in Euclidean and hyperbolic spaces.
method Analyzing connected mean convex regions with at least two components in Rn+1\mathbb{R}^{n+1} and hyperbolic space.
result Connected mean convex regions in Rn+1\mathbb{R}^{n+1} with at least two components cannot have strictly positive mean curvature.

We give an explicit estimate of the distance of a closed, connected, oriented and immersed hypersurface of a space form to a geodesic sphere and show that the spherical closeness can be controlled by a power of an integral norm of the traceless second fundamental form, whenever the latter is sufficiently small. Further…

2015-04-22abs ↗pdf ↗

Survey Bernstein-type theorems for graphical surfaces in Euclidean and Lorentz-Minkowski spaces.

problem Proving theorems for minimal and constant mean curvature graphs in Euclidean and Lorentz-Minkowski spaces.
method Explains several proofs and provides mean curvature estimates for graphs in Euclidean and Lorentz-Minkowski spaces.
result Bernstein-type theorems for constant mean curvature graphs in Euclidean 3-space and space-like graphs in Lorentz-Minkowski 3-space.

The study characterizes canal hypersurfaces in Euclidean spaces and their curvature properties.

problem Characterizing canal hypersurfaces in Euclidean spaces.
method Analyzing canal hypersurfaces in Euclidean n-space, focusing on E4, computing curvature properties, and proving specific cases.
result Flat canal hypersurfaces in Euclidean 4-space are only circular hypercylinders or circular hypercones, and minimal canal hypersurfaces are only generalized catenoids.

We study the use of power weighted shortest path distance functions for clustering high dimensional Euclidean data, under the assumption that the data is drawn from a collection of disjoint low dimensional manifolds. We argue, theoretically and experimentally, that this leads to higher clustering accuracy. We also pres…

2019-05-30abs ↗pdf ↗

No regular algebraic hypersurfaces with non-zero constant mean curvature in Euclidean spaces are found.

problem Existence of regular algebraic hypersurfaces with non-zero constant mean curvature in Euclidean spaces.
method Analyzing polynomials defining hypersurfaces of various degrees and shapes.
result Hyperspheres and round cylinders are the only such hypersurfaces defined by polynomials of degree ≤3.

Symmetric Positive Definite (SPD) matrices have been used in many fields of medical data analysis. Many Riemannian metrics have been defined on this manifold but the choice of the Riemannian structure lacks a set of principles that could lead one to choose properly the metric. This drives us to introduce the principle …

2019-09-09abs ↗pdf ↗

The paper classifies special solitons and shrinkers in Euclidean space.

problem Characterizing special solitons and shrinkers in Euclidean space.
method Analyzing λλ-translating solitons and λλ-shrinkers with constant mean curvature.
result Planes, spheres, and circular cylinders are the only λλ-shrinkers and λλ-translating solitons with constant mean curvature.

Study of metrics on positive-definite matrices from power potential, linking to power means.

problem Understanding metrics on positive-definite matrices derived from power potential.
method Explicit expressions for geodesics and distance function derived from Hessian of power potential.
result Geodesics and distance function converge to weighted matrix geometric mean as β tends to zero.

The paper studies essential spectra of submanifolds in Euclidean spaces.

problem Investigating the essential spectrum of submanifolds under geometric conditions.
method Analyzing submanifolds in Euclidean spaces with various geometric constraints.
result The essential spectrum of a complete non-compact submanifold is [0,+)[0, +\infty) if the second fundamental form satisfies certain LpL^p norms.

Estimates modes and ridges in mixed Euclidean and directional spaces.

problem Estimating local modes and density ridges in product spaces combining Euclidean and directional metrics.
method Extends mean shift algorithm to product spaces, addressing challenges in generalization.
result Established convergence of the proposed methods and demonstrated effectiveness on real-world datasets.

Sharp bounds for anisotropic p-capacity of Euclidean compact sets derived using flow methods.

problem Sharp bounds for anisotropic p-capacity of Euclidean compact sets.
method Inverse anisotropic mean curvature flow (IAMCF) and anisotropic Hawking mass.
result Upper bounds for anisotropic p-capacity derived using flow methods.