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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.

168,695 papers · 148 categories

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2675358021,069 · Jun 202019922001200920172026
48 results for mean convex sets

A mean-convex set can be regarded as a barrier for the construction of minimal surfaces. Namely, if we are given a mean-convex set and a null-homotopic Jordan curve on its boundary, then there exists an embedded minimal disk with boundary the given curve contained in the starting mean-convex set. Does a mean-convex set…

2011-12-19abs ↗pdf ↗

Study shows thresholding scheme converges for mean curvature flow of convex sets.

problem Analyzing convergence of thresholding scheme for mean curvature flow.
method Time discretization using Merriman, Bence and Osher's scheme, focusing on two-phase mean convex settings.
result Time-integrated energy of approximation converges to limit's energy in minimizing movements interpretation.

This note generalizes the visual angle to convex sets in 3D space.

problem Analyzing geometric properties of convex sets in 3D space.
method Generalizing the visual angle to convex sets in Euclidean space and expressing geometric quantities in terms of integrals of functions related to the solid angle.
result Invariant quantities of the original convex set can be expressed by integrals of functions related to the solid angle.

Constructs ancient solutions to mean curvature flow with prescribed singular sets.

problem Creating mean-convex ancient solutions with specific singular sets.
method Constructs solutions with a prescribed singular set Kimes{0}K imes \{0\} using mean curvature flow in a Riemannian metric.
result Constructs ancient solutions with a first-time singular set exactly Kimes{0}K imes \{0\}.

Study on estimating Gaussian mean from coarse data, resolving identifiability and computational efficiency questions.

problem Estimating the mean of a Gaussian distribution from coarse data (sets containing true samples rather than exact values).
method Analyzes the conditions for mean identifiability and computable estimation under convex partitions.
result Resolves the identifiability and computational efficiency questions for Gaussian mean estimation from coarse data.

The paper proves inequalities for star-shaped and FF-mean convex hypersurfaces in Rn+1\mathbb{R}^{n+1}.

problem Proving geometric inequalities for specific types of hypersurfaces.
method Using anisotropic pp-momentum, perimeter, and volume, the paper derives inequalities for star-shaped and FF-mean convex hypersurfaces.
result The Wulff shape of FF is the unique minimizer of the corresponding functionals among all star-shaped and FF-mean convex sets.

In this paper, we generalize White's regularity and structure theory for mean-convex mean curvature flow to the setting with free boundary. A major new challenge in the free boundary setting is to derive an a priori bound for the ratio between the norm of the second fundamental form and the mean curvature. We establish…

2019-11-04abs ↗pdf ↗

Proves Riemannian positive mass theorem with singularities.

problem Proves Riemannian positive mass theorem for specific types of singular manifolds.
method Uses initial data sets with a second fundamental form to transfer convexity between different singularity components.
result Proves the theorem for manifolds with some mean-concave components and others mean-convex.

We prove that for the mean curvature flow of two-convex hypersurfaces the intrinsic diameter stays uniformly controlled as one approaches the first singular time. We also derive sharp Ln1L^{n-1}-estimates for the regularity scale of the level set flow with two-convex initial data. Our proof relies on a detailed analysis…

2017-10-27abs ↗pdf ↗

New principles for collapsing law-invariant functionals to means, extending beyond convexity.

problem Conditions for law-invariant functionals to reduce to means.
method Establishing collapse to the mean principles for non-convex functionals.
result General principles apply beyond convexity, including quasiconvex and Choquet integrals.

The paper studies stability and singularities of a two-convex level set flow.

problem Stability and singularities of a two-convex level set flow.
method Assumes two-convex initial hypersurface and finitely many singular times, then shows the singular set has finitely many connected components.
result Near each connected component of the singular set, the perturbed flow has the same type of singular set.

A possible evolution of a compact hypersurface in R^n by mean curvature past singularities is defined via the level set flow. In the case that the initial hypersurface has positive mean curvature, we show that the Brakke flow associated to the level set flow is actually a Brakke flow with equality. We obtain as a conse…

2006-10-06abs ↗pdf ↗

The study proves splitting theorems for manifolds with specific curvature and boundary conditions.

problem Proving splitting theorems for manifolds with specific curvature and boundary conditions.
method Warped product splitting theorem in manifolds with Ricci curvature bounded from below, requiring parabolic and convex boundary.
result Established splitting results for various manifolds with specific curvature and boundary conditions.

Study shows bound on Uryson width for specific 3D manifolds.

problem Bounding Uryson width for 3D manifolds with non-negative Ricci curvature and strictly mean convex boundary.
method Proved existence of a Morse function with uniform diameter bounds on level sets.
result Upper bound on Uryson width for the specified 3D manifolds.

Consider the mean curvature flow of an (n+1)-dimensional, compact, mean convex region in Euclidean space (or, if n<7, in a Riemannian manifold). We prove that elements of the m-th homotopy group of the complementary region can die only if there is a shrinking S^k x R^(n-k) singularity for some k less than or equal to m…

2011-07-23abs ↗pdf ↗

We give a new proof for the existence of mean curvature flow with surgery of 2-convex hypersurfaces in RNR^N, as announced in arXiv:1304.0926. Our proof works for all N3N \geq 3, including mean convex surfaces in R3R^3. We also derive a priori estimates for a more general class of flows in a local and flexible setting.

2014-04-08abs ↗pdf ↗

Sharp upper bounds derived for capacities in hyperbolic and Euclidean spaces.

problem Finding upper limits for the capacity of compact sets in hyperbolic and Euclidean spaces.
method Inverse mean curvature flow, unit-speed normal flow, weak inverse mean curvature flow, inverse anisotropic mean curvature flow.
result Various sharp upper bounds for the pp-capacity of compact sets in hyperbolic and Euclidean spaces are derived.

Self-shrinkers model singularities of the mean curvature flow; they are defined as the special solutions that contract homothetically under the flow. Colding-Ilmanen-Minicozzi showed that cylindrical self-shrinkers are rigid in a strong sense - that is, any self-shrinker that is mean convex with uniformly bounded curva…

2016-03-31abs ↗pdf ↗

The paper explores connections between perimeter, area, and visual angle of convex sets.

problem Understanding geometric properties of convex sets through visual angle and related measurements.
method Establishing universal formulas and characterizing convex sets of constant width.
result Crofton's formula is the unique universal formula relating visual angle, length, and area.

Sharp upper bounds on inscribed radius for metric spaces with convex boundary.

problem Bounding inscribed radius in metric measure spaces with convex boundary.
method Proves sharp upper bounds on inscribed radius for subsets with convex boundary.
result Sharp upper bounds on inscribed radius for subsets with convex boundary.

New method proves existence of constant mean curvature disks on convex surfaces.

problem Proving existence of constant mean curvature disks on convex surfaces.
method Sacks-Uhlenbeck type perturbation instead of heat flow.
result Existence for all H(0,H0)H \in (0, H_0) when ΣΣ is convex and has mean curvature bounded below by H0H_0.

The paper analyzes the mean field Langevin dynamics and its convergence rate.

problem The convergence property of the mean field Langevin dynamics in the context of neural networks.
method The analysis uses a proximal Gibbs distribution and techniques from convex optimization.
result A concise convergence rate analysis of the mean field Langevin dynamics in both continuous and discrete time settings.

Under mean curvature flow, a closed, embedded hypersurface M(t)M(t) becomes singular in finite time. For certain classes of mean-convex mean curvature flows, we show the continuity of the first singular time TT and the limit set "M(T)M(T)", with respect to initial data. We employ an Angenent-like neck-pinching argument to…

2017-03-07abs ↗pdf ↗

The paper studies mean curvature flow of spacelike-convex submanifolds in pseudo-Euclidean space.

problem Mean curvature flow of spacelike-convex submanifolds in pseudo-Euclidean space.
method Analysis of natural curvature pinching and noncollapsing quantities under mean curvature flow.
result The mean curvature flow deforms any initial spacelike-convex submanifold to a point in finite time, and is asymptotic to a shrinking sphere in a maximally spacelike subspace.

Resolves conjecture on cylindrical mean curvature flows in all dimensions.

problem Mean Convex Neighborhood Conjecture for cylindrical singularities.
method Complete classification of ancient, asymptotically cylindrical flows; refined asymptotic analysis; leading mode condition; induction over thresholds.
result Establishes mean-convex neighborhood for cylindrical singularities; provides local models and canonical families.

We study properly immersed ancient solutions of the codimension one mean curvature flow in nn-dimensional Euclidean space, and classify the convex hulls of the subsets of space reached by any such flow. In particular, it follows that any compact convex ancient mean curvature flow can only have a slab, a halfspace or a…

2019-01-16abs ↗pdf ↗

A special formula for the total mean curvature of an ovaloid is derived. This formula allows us to extend the notion of the mean curvature to the class of boundaries of strictly convex sets. Moreover, some integral formula for ovaloids is proved.

2019-12-23abs ↗pdf ↗

We solve a portfolio selection problem with four objectives, finding convex scalarizations for part of the Pareto front.

problem Portfolio selection with four objectives: mean, variance, skewness, and kurtosis.
method Linearly scalarize MVSK objectives into a convex polynomial FλF_λ over the probability simplex, compute optimizers for each λλ.
result Identify a set of hyper-parameters for which the scalarization is convex, allowing computation of part of the Pareto front.

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.

Constructs a mean curvature flow with surgery for compact mean convex hypersurfaces.

problem Mean curvature flow with surgery for compact mean convex hypersurfaces.
method Topological surgeries performed by the flow itself through nondegenerate cylindrical singularities, adjusted at smooth times.
result Extends previous results for 2-convex flows and constructs a flow for compact mean convex hypersurfaces.