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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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4088161,2241,632 · Jun 202019922001200920172026
48 results for minimal model dimensions

The article calculates the minimal model dimensions for classifying spaces of surface braid groups.

problem Classifying spaces for families of virtually abelian subgroups of surface braid groups.
method Analyzes the pure and full braid groups of surfaces with at least one boundary component or one puncture, proving analogous results for amenable subgroups.
result Minimal dimensions of models for classifying spaces are equal to the virtual cohomological dimension plus the rank of virtually abelian subgroups.

Smooth minimizing hypersurfaces in 11D are generic, with singularities in higher dimensions.

problem Finding smooth minimizing hypersurfaces in high dimensions.
method Analyzing the Plateau problem and area minimization in integral homology.
result Smooth minimizing hypersurfaces are generic in 11D, with singularities in higher dimensions.

Perimeter minimizers in curved spaces have a singular set no more than 5 dimensions.

problem Understanding the structure of minimizers in spaces with bounded Ricci curvature.
method Analysis of non-collapsed Ricci limit spaces with two-sided curvature bounds.
result The Hausdorff dimension of the singular set is at most \(N-5\).

Lower bounds on cone density for nontrivial complements in low dimensions.

problem Finding density limits for minimal cones with nontrivial complements.
method Proving lower bounds on cone density for cones of dimensions less than seven with nontrivial complements.
result Established lower bounds on cone density for minimal cones with nontrivial complements in dimensions less than seven.

Proves Penrose inequality in all dimensions for specific manifolds.

problem Proving Penrose inequality in arbitrary dimensions for certain manifolds.
method Extends Bray's conformal-flow method to higher dimensions, dealing with singular outer-minimizing enclosures.
result Proves the Riemannian Penrose inequality in arbitrary dimensions.

In this paper, we consider multi-valued graphs with a prescribed real analytic interface that minimize the Dirichlet energy. Such objects arise as a linearized model of area minimizing currents with real analytic boundaries and our main result is that their singular set is discrete in 2 dimensions. This confirms (and p…

2019-06-24abs ↗pdf ↗

Perturbs area-minimizing hypersurfaces to reduce singular set's dimension.

problem Reduces the dimension of the singular set of area-minimizing hypersurfaces.
method Perturbs a smooth hypersurface to minimize the Minkowski dimension of the singular set.
result The singular set of the perturbed minimizing current has Minkowski dimension less than n-9.

In low dimensions, minimizers for the second conformal eigenvalue do not exist near the round sphere.

problem Nonexistence of minimizers for the second conformal eigenvalue near the round sphere in low dimensions.
method Analysis of conformal classes and renormalized volume in dimensions 3 to 10.
result Existence of minimizers is proven not to hold for metrics sufficiently close to the round metric on the sphere in dimensions 3 to 10.

We prove the existence of the analog of Lawson's minimal cones for a notion of nonlocal minimal surface introduced by Caffarelli, Roquejoffre and Savin, and establish their stability/instability in low dimensions. In particular we find that there are nonlocal stable minimal cones in dimension 7, in contrast with the ca…

2013-03-04abs ↗pdf ↗

The paper extends results on minimal hypersurfaces in Riemannian manifolds to higher dimensions.

problem Characterizing properties of minimal hypersurfaces in higher-dimensional Riemannian manifolds.
method Maximum principle at infinity for two-sided, parabolic, properly embedded minimal hypersurfaces.
result Two disjoint properly embedded minimal hypersurfaces bound a slab in specific conditions.

Study local minimizers of Ginzburg-Landau functionals in high dimensions, showing energy measures converge to rectifiable measures.

problem Investigating minimizers of Ginzburg-Landau functionals in high dimensions with energy bounds.
method Analyzing minimizers with logarithmic energy bounds and considering the vacuum manifold's homotopy classes.
result Normalized energy measures converge to an (n2)(n-2)-rectifiable measure associated with a stationary varifold.

The paper proves the existence of area-minimizing hypersurfaces in AF manifolds of higher dimensions.

problem Existence of area-minimizing hypersurfaces in AF manifolds with arbitrary dimension and ends.
method Positive mass theorem for AF manifolds with arbitrary ends and global behavior for hypersurfaces in AF manifolds of dimension ≤ 8.
result Existence and behavior of area-minimizing hypersurfaces in AF manifolds of higher dimensions.

Paper finds formulas for minimizing perimeter in special spaces, proving key dimensions and existence.

problem Understanding the structure of perimeter minimizing sets in specific metric spaces.
method Established a monotonicity formula and proved rigidity for perimeter minimizers in RCD(0,N) spaces.
result Sharp Hausdorff dimension estimates for singular strata and existence of blow-down cones.

The paper disproves the properness conjecture for higher-dimensional minimal hypersurfaces.

problem Properness of complete minimal hypersurfaces in higher dimensions.
method Chord-arc estimates and gluing techniques.
result Construction of a complete, improperly embedded minimal hypersurface in Rn+1\mathbb{R}^{n+1} for every n3n\ge 3.

Develops a method to construct entire minimal graphs of odd dimensions.

problem Constructing entire minimal graphs of odd dimensions and arbitrary codimensions.
method Evolving-plane ansatz reducing minimal surface system to geodesic equation on Grassmannian.
result Yields a rich family of explicit entire minimal graphs of odd dimension and arbitrary codimension.

New method estimates robust mean in high dimensions with minimized outliers.

problem Estimating the mean in high dimensions when a fraction of data is corrupted.
method Formulating the problem as 0\ell_0-norm minimization under second moment constraints, and using 1\ell_1 and p\ell_p minimization techniques.
result The proposed method achieves order optimal robust mean estimation and significantly outperforms existing methods.

The rational homotopy type of a differential graded algebra (DGA) can be represented by a family of tensors on its cohomology, which constitute an AA_\infty-minimal model of this DGA. When only the cohomology is needed to determine the rational homotopy type, then the DGA is called formal. By a theorem of Miller, a co…

2019-04-23abs ↗pdf ↗

We study the problem of finding the best linear model that can minimize least-squares loss given a data-set. While this problem is trivial in the low dimensional regime, it becomes more interesting in high dimensions where the population minimizer is assumed to lie on a manifold such as sparse vectors. We propose proje…

2019-07-03abs ↗pdf ↗

New algorithm improves privacy in high-dimensional machine learning models.

problem Privacy issues in learning large machine learning models.
method Differentially private greedy coordinate descent (DP-GCD) algorithm.
result Achieves logarithmic dependence on dimension for quasi-sparse solutions.

In \cite{CHMY04}, we studied pp-mean curvature and the associated pp-minimal surfaces in the Heisenberg group from the viewpoint of PDE and differential geometry. In this paper, we look into the problem through the variational formulation. We study a generalized pp-area and associated (pp-) minimizers in general di…

2006-01-10abs ↗pdf ↗

The paper studies deformations of singular minimal hypersurfaces in dimensions 7 and above.

problem The behavior of singular minimal hypersurfaces in dimensions 7 and above.
method Analyzes the local behavior of minimal hypersurfaces under perturbations and convergence of families of hypersurfaces.
result Existence and smoothness of nearby minimal hypersurfaces under perturbations, uniqueness of homological minimization, and existence of Jacobi fields.

In this paper we develop methods to extend the minimal hypersurface approach to positive scalar curvature problems to all dimensions. This includes a proof of the positive mass theorem in all dimensions without a spin assumption. It also includes statements about the structure of compact manifolds of positive scalar cu…

2017-04-18abs ↗pdf ↗

The study classifies stable submanifolds in product spaces of projective spaces.

problem Classifying stable submanifolds in product spaces of projective spaces.
method Provided a classification theorem for compact stable minimal immersions in product spaces of projective spaces.
result Characterized complex minimal immersions in the product of two complex projective spaces.

New method improves smoothness of minimizing currents near singular points.

problem Improving smoothness of minimizing currents near singular points.
method New method to estimate the full singular set of the foliation by minimizers and proof of superlinear decay of closeness.
result Generic smoothness of minimizers improved to n9εnn-9-\varepsilon_n for n11n \geq 11.

We prove a structural theorem that provides a precise local picture of how a sequence of closed embedded minimal hypersurfaces with uniformly bounded index (and volume if the ambient dimension is greater than three) in a Riemannian manifold of dimension at most seven, can degenerate. Loosely speaking, our results show …

2015-09-22abs ↗pdf ↗