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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.

168,657 papers · 148 categories

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116232348464 · Jun 202019922001200920172026
48 results for local normal vector

A new framework enhances generative modeling by learning local flows over complex manifolds.

problem Limited expressivity of current normalizing flows for low-dimensional manifolds.
method Vector quantized local normalizing flows (VQ-Flows) using a VQ-AE atlas and conditional flows.
result Enhanced modeling of complex data distributions over manifolds.

We establish normal forms for conformal vector fields on pseudo-Riemannian manifolds in the neighborhood of a singularity. For real-analytic Lorentzian manifolds, we show that the vector field is analytically linearizable or the manifold is conformally flat. In either case, the vector field is locally conjugate to a no…

2010-08-23abs ↗pdf ↗

Random square-tiled surfaces have normal genus distribution and cover all integer vectors.

problem Distribution and properties of random square-tiled surfaces.
method Randomizing model and local central limit theorem for genus.
result The distribution of the genus is asymptotically normal and contains all primitive integer vectors.

This article concerns cotangent-lifted Lie group actions; our goal is to find local and ``semi-global'' normal forms for these and associated structures. Our main result is a constructive cotangent bundle slice theorem that extends the Hamiltonian slice theorem of Marle, Guillemin and Sternberg. The result applies to a…

2004-09-09abs ↗pdf ↗

The paper studies how grid cell patterns emerge in neural networks.

problem Understanding how grid cells in the brain form hexagonal firing patterns.
method Training recurrent neural networks with conformal normalization of velocity inputs.
result Conformal normalization is crucial for the emergence of hexagonal grid patterns in neural networks.

The paper studies properties of RCD(K,N)\mathrm{RCD}(K,N) spaces and their boundaries.

problem Understanding the boundary structure and unit normal on RCD(K,N)\mathrm{RCD}(K,N) spaces.
method Proves concentration of boundary measure, discusses localization of unit normal, and develops tools for perimeter minimizers.
result Proves that the boundary measure of sets with finite perimeter is concentrated on the nn-regular set Rn\mathcal{R}_n.

Study totally umbilic submanifolds using planar pseudo-geodesics.

problem Characterize totally umbilic isometric immersions with parallel normalized mean curvature vector.
method Introduce planar pseudo-geodesics and analyze their properties; prove the equivalence of totally umbilic immersions and planar geodesic extrinsic shapes.
result An isometric immersion is totally umbilic if and only if every geodesic of the manifold has planar extrinsic shape.

In this paper, we study biconservative surfaces with parallel normalized mean curvature vector in E4\mathbb{E}^4. We obtain complete local classification in E4\mathbb{E}^4 for a biconservative PNMCV surface. We also give an example to show the existence of PNMCV biconservative surfaces in E4\mathbb{E}^4.

2017-04-18abs ↗pdf ↗

In this paper we form relations for the determination of the elements of the Eötvös matrix of the Earth's normal gravity field. In addition a relation between the Gauss curvature of the normal equipotential surface and the Gauss curvature of the actual equipotential surface both passing through the point P is presented…

2011-07-11abs ↗pdf ↗

We provide necessary and sufficient conditions on the derived type of a vector field distribution $\Cal V$ in order that it be locally equivalent to a partial prolongation of the contact distribution $\Cal C^{(1)}_q$, on the first order jet bundle of maps from R\Bbb R to Rq\Bbb R^q, q1q\geq 1. This result fully genera…

2004-04-21abs ↗pdf ↗

Improved road segmentation on low-res LIDAR data for autonomous vehicles.

problem Low-resolution LIDAR data affects road segmentation accuracy in autonomous vehicles.
method Subsampled LIDAR data transformation into feature maps, use local normal vector with spherical coordinates.
result Improves road segmentation accuracy on low-resolution LIDAR data.

First BGG operators are a large class of overdetermined linear differential operators intrinsically associated to a parabolic geometry on a manifold. The corresponding equations include those controlling infinitesimal automorphisms, higher symmetries, and many other widely studied PDE of geometric origin. The machinery…

2012-01-04abs ↗pdf ↗

Study on biconservative surfaces in 4D hyperbolic space, providing extrinsic descriptions.

problem Characterizing biconservative surfaces in hyperbolic space.
method Local extrinsic description through normal flow and analysis of vector fields.
result Classification of non-CMC, PNMC biconservative surfaces in H4\mathbb{H}^4 into three cases.

Two Kähler metrics on a complex manifold are called c-projectively equivalent if their JJ-planar curves coincide. These curves are defined by the property that the acceleration is complex proportional to the velocity. We give an explicit local description of all pairs of c-projectively equivalent Kähler metrics of arb…

2015-10-01abs ↗pdf ↗

Logarithmic connections on principal bundles over normal varieties are studied.

problem Existence and properties of logarithmic connections on principal bundles over normal varieties.
method Introducing logarithmic connections, showing equivalence to covariant derivatives, and proving existence conditions.
result Existence of logarithmic connections on principal bundles over normal varieties is equivalent to certain conditions on the associated vector bundles and adjoint bundles.

The normal map of curves is analyzed as a vector field on a cylinder.

problem Understanding the geometric properties of normal maps and their vector field interpretation.
method Interpreting critical points geometrically, studying Poincaré index, projecting to sphere, and analyzing winding and rotation indices.
result Counting theorems regarding winding and rotation indices of curves and their evolutes are proven.

Study improves self-normalized bounds for vector-valued processes beyond sub-Gaussianity.

problem Limited understanding of self-normalized concentration for vector-valued processes outside sub-Gaussian frameworks.
method Developed concentration inequalities for self-normalized processes with light tails (e.g., Bennett, Bernstein bounds) for vector-valued data.
result Provided new insights and bounds for self-normalized processes with non-sub-Gaussian distributions.

Article studies symmetry in smooth vector bundles using advanced operations.

problem Symmetry phenomena in smooth vector bundles after two iterations of the normal functor.
method Developed theory of pullback and quotient for double vector bundles and morphisms, focusing on naturality of the normal functor.
result Expected symmetry is obtained through universal behavior and compatibility of operations.

GBOC detects anomalies in time series data using granular-ball vectors.

problem Challenges in modeling normal behavior in dynamic, nonlinear time series data.
method Granular-ball Vector Data Description (GVDD) and Granular-ball One-Class Network (GBOC).
result GBOC improves anomaly detection in time series data.

We consider the Laplace normal vector field of relatively normalized ruled surfaces with non-vanishing Gaussian curvature in the three-dimensional Euclidean space R3\mathbb{R}^{3}. We determine all ruled surfaces and all relative normalizations for which the Laplace normal image degenerates into a point or into a curve…

2015-10-28abs ↗pdf ↗

We prove that holomorphic normal projective connections on compact complex surfaces are flat. We show that a holomorphic torsion-free affine connection \nabla on a compact complex surface is locally modelled on a translations-invariant affine connection on $\C^2$, except if \nabla is a generic connection on a princ…

2008-05-19abs ↗pdf ↗

The paper proposes deep normalization to improve speaker recognition performance.

problem Non-Gaussian and non-homogeneous distributions of deep speaker vectors negatively impact speaker recognition.
method Proposes a deep normalization approach based on a novel discriminative normalization flow (DNF) model.
result DNF-based normalization delivers substantial performance gains and strong generalization capability.

This paper deals with skew ruled surfaces in the Euclidean space E3\mathbb{E}^{3} which are equipped with polar normalizations, that is, relative normalizations such that the relative normal at each point of the ruled surface lies on the corresponding polar plane. We determine the invariants of a such normalized ruled …

2017-11-29abs ↗pdf ↗

In this paper, we define almost paracontact and normal almost paracontact Finsler structures on a vector bundle and find some conditions for integrability of these structures. We define paracontact metric, para- Sasakian and K-paracontact Finsler structures and study some properties of these structures. For a K-paracon…

2013-02-04abs ↗pdf ↗

SBMs learn manifold-like structures by mixing samples with a non-conservative field.

problem How SBMs learn data distributions on low-dimensional manifolds.
method Investigating linear approximations and subspaces of local feature vectors during diffusion.
result SBMs mix samples by a non-conservative field within the manifold, maintaining manifold-like structure.

Improved bounds for function approximation in nonlinear sets.

problem Achieving high probability error with limited samples in nonlinear function approximation.
method Restricting model class to a neighbourhood of the best approximation and estimating sample complexity using tangent and normal spaces' complexities and curvature.
result Improved worst-case bounds for sample complexity in more general sets like tensor networks and neural networks.

A differential 1-form αα on a manifold of odd dimension 2n+12n+1, which satisfies the contact condition α(dα)n0α\wedge (dα)^n \neq 0 almost everywhere, but which vanishes at a point OO, i.e. α(O)=0α(O) = 0, is called a \textit{singular contact form} at OO. The aim of this paper is to study local normal forms (formal, analytic …

2018-04-17abs ↗pdf ↗

The paper explores biconservative surfaces in a 4D sphere, finding a unique family of non-isometric surfaces.

problem Characterizing biconservative surfaces with a parallel normalized mean curvature vector field in a 4D sphere.
method Analyzes existence and uniqueness, derives local parametrization.
result A 2-parameter family of non-isometric biconservative surfaces in a 4D sphere.