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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.

169,291 papers · 148 categories

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122245367489 · Jun 202019922001200920182026
48 results for minimal standardizer

Algorithm finds minimal standardizer of parabolic subgroups in Artin-Tits groups.

problem Computing minimal standardizer of parabolic subgroups in Artin-Tits groups.
method Geometrical and algebraic algorithms to compute pnpn-normal form of a central element.
result Minimal standardizer computation simplified to pnpn-normal form.

Optimizes sharp curvature inequality on spheres, proving near-minimizers are close to standard metric.

problem Optimizing total σ2σ_2-curvature on spheres with positive scalar curvature.
method Analyzes metrics conformal to the standard sphere, uses Sobolev norms to measure closeness.
result Near-minimizers of total σ2σ_2-curvature are almost the standard metric (up to Möbius transformations).

It is shown that parts of planes, helicoids and hyperbolic paraboloids are the only minimal surfaces ruled by geodesics in the three dimensional Riemannian Heisenberg group. It is also shown that they are the only surfaces in the three dimensional Heisenberg group whose mean curvature is zero with respect to both of th…

2009-06-06abs ↗pdf ↗

Standard embeddings of Schubert varieties in specific manifolds characterized.

problem Characterizing standard embeddings of Schubert varieties in rational homogeneous manifolds.
method Characterization through varieties of minimal rational tangents.
result Characterization of standard embeddings of smooth Schubert varieties.

The study finds counterexamples to curvature estimates for minimizing surfaces.

problem Curvature estimates for minimizing surfaces in metric convergence.
method Constructing sequences of smooth minimizing surfaces in metrics converging to Euclidean.
result Found counterexamples with diverging L2L^2 norm of second fundamental form.

Minimal crystallizations of simply connected PL 4-manifolds are very natural objects. Many of their topological features are reflected in their combinatorial structure which, in addition, is preserved under the connected sum operation. We present a minimal crystallization of the standard PL K3 surface. In combination w…

2014-07-03abs ↗pdf ↗

In this note, we investigate the well-known Yau rigidity theorem for minimal submanifolds in spheres. Using the parameter method of Yau and the DDVV inequality verified by Lu, Ge and Tang, we prove that if MM is an nn-dimensional oriented compact minimal submanifold in the unit sphere Sn+p(1)S^{n+p}(1), and if $K_{M}\geq\…

2011-02-28abs ↗pdf ↗

Freedman, He, and Wang, conjectured in 1994 that the Mobius energy should be minimized, among the class of all nontrivial links in Euclidean space, by the stereographic projection of the standard Hopf link. We prove this conjecture using the min-max theory of minimal surfaces.

2012-05-03abs ↗pdf ↗

We present a conjecture, based on computational results, on the area minimizing way to enclose and separate two arbitrary volumes in the flat cubic 3-torus. For comparable small volumes, we prove that an area minimizing double bubble in the 3-torus is the standard double bubble from R^3.

2002-08-15abs ↗pdf ↗

Study on high-codimensional minimal surfaces in hyperbolic space.

problem Understanding high-codimensional minimal surfaces in hyperbolic space.
method Investigating asymptotic behavior and boundary regularity of area-minimizing currents.
result Established boundary regularity results for high-codimensional minimal surfaces near their asymptotic boundaries.

We consider the minimal entropy problem, namely the question of whether there exists a smooth metric of minimal entropy, for certain classes of 3-manifolds. Among other resulsts, we show that if M is a closed, orientable, geometrizable 3-manifold with zero simplicial volume, then the minimal entropy can be solved for M…

2000-11-21abs ↗pdf ↗

We investigate the minimal surface problem in the three dimensional Heisenberg group, H, equipped with its standard Carnot-Caratheodory metric. Using a particular surface measure, we characterize minimal surfaces in terms of a sub-elliptic partial differential equation and prove an existence result for the Plateau prob…

2001-08-07abs ↗pdf ↗

Let MM be a Riemannian 3-manifold of nonnegative Ricci curvature, Ric 0.\geq 0. We suppose that MM is conformally flat and simply connected or more generally that it admits a conformal immersion into the standard 3-sphere. Let ΣΣ be a compact connected and orientable surface immersed in MM which is a stable constan…

2013-06-19abs ↗pdf ↗

In this paper, we consider the problem of prescribing the scalar curvature under minimal boundary conditions on the standard four dimensional half sphere. We provide an Euler-Hopf type criterion for a given function to be a scalar curvature to a metric conformal to the standard one. Our proof involves the study of crit…

2003-03-04abs ↗pdf ↗

A left invariant metric on a nilpotent Lie group is called minimal, if it minimizes the norm of the Ricci tensor among all left invariant metrics with the same scalar curvature. Such metrics are unique up to isometry and scaling and the groups admitting a minimal metric are precisely the nilradicals of (standard) Einst…

2004-11-11abs ↗pdf ↗

The paper constructs stable minimal hypersurfaces with specific singularities.

problem Creating minimal hypersurfaces with controlled singularities.
method Constructing hypersurfaces with a given singular set in a modified Euclidean space.
result Embedded minimal hypersurfaces with stable properties and specified singularities.

This study connects Jacobian regularization to adversarial robustness and improves generalization.

problem Adversarial attacks make deep neural networks vulnerable.
method Developed a connection between Jacobian regularization and adversarial training, and established robust generalization gaps.
result Jacobian norms are related to both standard and robust generalization.

JTT improves model worst-group accuracy without group annotations.

problem Low worst-group accuracy in standard ERM models with spurious correlations.
method Two-stage approach: first ERM, then upweight misclassified examples.
result JTT closes 75% of the gap in worst-group accuracy compared to group DRO.

We study the problem of online learning with a notion of regret defined with respect to a set of strategies. We develop tools for analyzing the minimax rates and for deriving regret-minimization algorithms in this scenario. While the standard methods for minimizing the usual notion of regret fail, through our analysis …

2013-02-12abs ↗pdf ↗

Let DnD_n denote the nn-punctured disk in the complex plane, where the punctures are on the real axis. An nn-braid αα is said to be \emph{reducible} if there exists an essential curve system $\C$ in DnD_n, called a \emph{reduction system} of αα, such that $α*\C=\C$ where $α*\C$ denotes the action of the braid αα o…

2005-06-10abs ↗pdf ↗

The study of stable and index compact minimal submanifolds in Berger spheres.

problem Stability and index of compact minimal submanifolds in Berger spheres.
method Analyzing stability and index properties of compact minimal submanifolds in Berger spheres.
result Stable compact minimal submanifolds exist in Berger spheres for specific values of τ, and their classification is provided.

IRM fails to improve over standard methods in complex settings.

problem Learning invariant features for out-of-distribution generalization.
method Analysis of Invariant Risk Minimization (IRM) and related approaches under a general model.
result IRM can fail catastrophically in non-linear settings, even when test data are similar to training distribution.

This paper shows how to learn variational inequalities fast with strong monotonicity.

problem Learning variational inequalities efficiently.
method Extending convex optimization techniques to variational inequalities with strong monotonicity.
result Fast generalization rates of Θ(1/ε)Θ(1/ε) for learning variational inequalities.