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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.

169,181 papers · 148 categories

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4387130173 · Jun 202019922001200920182026
48 results for affine-invariant cone fields

This paper studies gradient flows for sampling using various metrics and their affine invariance.

problem Sampling from probability distributions with unknown normalizations.
method Gradient flows in the space of probability measures, focusing on Kullback-Leibler divergence and affine invariance of metrics.
result Gradient flows of Kullback-Leibler divergence do not depend on the normalization constant, and affine invariance is achieved for certain metrics.

We consider flat surfaces and the points of their metric completions, particularly the singularities to which the flat structure of the surface does not extend. The local behavior near a singular point x can be partially described by a topological space L(x) which captures all the ways that x can be "approached linearl…

2011-10-06abs ↗pdf ↗

Study equi-affine invariants for convex domains with asymptotes.

problem Understanding geometric properties of convex domains with specific asymptotes.
method Introducing equi-affine invariants by averaging tropical structures.
result Proving a limiting description of level sets for unbounded domains with two non-parallel asymptotes.

Study examines causal properties of Finsler spacetimes with cone Killing vectors.

problem Characterize causality in Finsler spacetimes with specific Killing vectors.
method Explores the relationship between wind Riemannian structures and spacetimes with cone Killing vectors, focusing on Finsler-Kropina metrics.
result Characterizes causality properties using metric-type properties of Finslerian structures.

This research studies affine invariance in continuous-domain convolutional neural networks.

problem Recognizing patterns and features under affine transformations in continuous domains.
method Introduces a new criterion for assessing affine invariance, embeds images into the affine Lie group, and analyzes convolution over this group.
result Extends the scope of geometrical transformations that deep-learning pipelines can handle.

Equal-volume polygons are obtained from adequate discretizations of curves in 3-space, contained or not in surfaces. In this paper we explore the similarities of these polygons with the affine arc-length parameterized smooth curves to develop a theory of discrete affine invariants. Besides obtaining discrete affine inv…

2016-09-28abs ↗pdf ↗

New metrics for SPD matrices explore affine invariance and symmetry principles.

problem Choosing appropriate metrics for SPD matrices based on invariance principles.
method Investigates power-affine and deformed-affine metrics within a continuum of SPD metrics.
result Introduces new families of metrics based on affine invariance and symmetry.

The paper calculates area Siegel--Veech constants for specific submanifolds of REL zero.

problem Calculating area Siegel--Veech constants for affine invariant submanifolds of REL zero.
method Using volumes of the principal boundary strata and intersection theory.
result Proves a conjectural formula for the area Siegel--Veech constant in the case of REL zero.

The paper shows measures equidistribute on affine submanifolds with a rate.

problem Understanding equidistribution of measures on affine invariant submanifolds.
method Analyzing unstable foliations and using results from homogeneous dynamics.
result Measures of large dimension equidistribute on affine invariant submanifolds with an effective rate.

The paper studies semi-Riemannian cones and their geometric properties.

problem The behavior of semi-Riemannian cones with non-irreducible holonomy.
method Survey and improved versions of general statements for cones with parallel vector fields.
result If the base manifold is complete and the fibre and parallel vector field have the same causal character, the cone is flat.

Study proves uniqueness of Yang-Mills field tangent cones in arbitrary dimensions.

problem Proving uniqueness of Yang-Mills field tangent cones.
method Log-epiperimetric inequality, Luckhaus type lemma, and curvature concentration exclusion.
result Uniqueness of tangent cones for Yang-Mills fields in arbitrary dimensions.

The paper studies a specific centro-affine invariant hypersurface flow in R^(n+1).

problem Existence and uniqueness of a centro-affine invariant hypersurface flow.
method Investigates the flow's existence and uniqueness, explores its properties in centro-affine and Euclidean settings, and investigates long-time behavior.
result The hypersurface converges asymptotically toward an ellipsoid via systematically investigating evolutions of centro-affine invariants.

We prove that affine invariant manifolds in strata of flat surfaces are algebraic varieties. The result is deduced from a generalization of a theorem of Möller. Namely, we prove that the image of a certain twisted Abel-Jacobi map lands in the torsion of a factor of the Jacobians. This statement can be viewed as a split…

2013-11-11abs ↗pdf ↗

We study the Sasaki cone of a CR structure of Sasaki type on a given closed manifold. We introduce an energy functional over the cone, and use its critical points to single out the strongly extremal Reeb vectors fields. Should one such vector field be a member of the extremal set, the scalar curvature of a Sasaki extre…

2007-12-31abs ↗pdf ↗

New inequality shows all special submanifolds in light cone are totally umbilical spheres.

problem Characterizing submanifolds with parallel mean curvature in Lorentz-Minkowski spacetime.
method Established an integral inequality and used it to derive a rigidity result.
result All compact submanifolds with parallel mean curvature in light cone are totally umbilical spheres.

Employing a centro-affine flow on smooth convex bodies, we generate new centro-affine differential invariants. One class of the newly defined invariants is the object of a sharp isoperimetric inequality, while other new inequalities on known centro-affine invariants are obtained as a byproduct of the flow's study. Furt…

2010-11-23abs ↗pdf ↗

We study the boundary of an affine invariant submanifold of a stratum of translation surfaces in a partial compactification consisting of all finite area Abelian differentials over nodal Riemann surfaces, modulo zero area components. The main result is a formula for the tangent space to the boundary. We also prove fini…

2015-08-06abs ↗pdf ↗

New examples of Calabi-Yau metrics on cones with irregular smooth links.

problem Finding new Calabi-Yau metrics on cones with irregular smooth links.
method Explicit computation of Reeb field and Minkowski decompositions of toric Calabi-Yau cones.
result Examples of complete Calabi-Yau metrics on cones with irregular smooth links.

New calculus for invariant differential operators in parabolic geometries.

problem Understanding invariant differential operators for parabolic geometries.
method Developed a universal calculus to construct all affine invariants of Weyl connections.
result A natural procedure to determine affine invariants of Weyl connections.

New geometric structures defined on SPD matrices for better understanding.

problem Understanding SPD matrices and their geometric properties.
method Introducing Finslerian and dual information-geometric structures on James' bicone domain.
result Geodesics correspond to straight lines in coordinate systems, and new dissimilarities generalize existing ones.

Bayesian inference for neural networks improves uncertainty quantification.

problem Improving predictive uncertainty in neural networks.
method Ensemble Kalman filter extensions and interacting particle systems.
result Effective methods for quantifying predictive uncertainty in neural networks.

This paper explores gradient flows for sampling distributions without normalization constants.

problem Sampling from distributions with unknown normalization constants.
method Gradient flows in the space of probability measures, focusing on Kullback-Leibler divergence, Fisher-Rao metric, and affine invariance.
result Gradient flows derived from Kullback-Leibler divergence do not depend on the normalization constant.

New estimator for covariance of heavy-tailed data with affine-invariant bound.

problem Estimating covariance of heavy-tailed multivariate distributions.
method Affine-invariant bound for covariance estimation with fourth-order moment requirement.
result Proposed estimator S^\widehat{\mathbf{S}} has an affine-invariant bound of (1ε)SS^(1+ε)S(1-\varepsilon) \mathbf{S} \preccurlyeq \widehat{\mathbf{S}} \preccurlyeq (1+\varepsilon) \mathbf{S} in high probability.

The paper explores totally geodesic submanifolds in SPD matrices and their properties.

problem Characterizing and understanding totally geodesic submanifolds in SPD matrices.
method Detailed geometric analysis and projection properties of SPD matrices.
result A non-linear projection on totally geodesic submanifolds has the minimizing property.

Let us denote by Kn\mathcal K_n the hyperspace of all convex bodies of Rn\mathbb R^n equipped with the Hausdorff distance topology. An affine invariant point pp is a continuous and Aff(n)-equivariant map p:KnRnp:\mathcal K_n\to \mathbb R^n, where Aff(n) denotes the group of all nonsingular affine maps of Rn\mathbb R^n. Fo…

2016-02-21abs ↗pdf ↗

Study shows instability of naked singularities in scalar field models.

problem Stability of naked singularities in spherically symmetric Einstein-Scalar field systems.
method Analysis of a family of incoming null cones becoming increasingly singular.
result Naked singularities are unstable to black hole formation under certain perturbations.

New approach to convexity and monotonicity on metric spaces.

problem Characterizing convexity and monotonicity in non-smooth metric spaces.
method Characterization of convexity and monotonicity using Riemannian Ricci curvature.
result Offers new rigidity theorems like splitting theorem and volume cone implies metric cone theorem.

Wave propagation framework using cone structures and observers' vector fields.

problem Describing classic wave propagation in anisotropic media.
method Introduces a cone structure CC and an observers' vector field t\partial_t to describe wave propagation.
result Reduces the PDE for wavefronts to ODE for cone geodesics of CC.

Study of cone structures and Finsler metrics linking geometric and physical aspects.

problem Defining and characterizing cone structures and Finsler metrics.
method Systematic study of cone structures and Lorentz-Finsler metrics, introducing cone triples and cone geodesics.
result Explicit descriptions of all Finsler spacetimes, including stationary and static ones.