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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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4081121161 · May 202619922001200920172026
48 results for spatial surfaces

For leveled spatial graphs, we find a surface embedding that allows cellular embedding.

problem Finding a surface embedding for general spatial graphs is not always possible.
method Define leveled property, decompose graph into subgraphs, and construct surface.
result For leveled spatial graphs with a small number of levels, a surface can always be found.

A spatial surface is a compact surface embedded in the 3-sphere. In this paper, we provide several typical examples of spatial surfaces and construct a coloring invariant to distinguish them. The coloring is defined by using a multiple group rack, which is a rack version of a multiple conjugation quandle.

2019-12-06abs ↗pdf ↗

Paper constructs infinitely many pairs of Seifert surfaces for each link.

problem Constructing infinitely many pairs of Seifert surfaces for each link.
method Using a multiple group rack (MGR) to construct invariants and distinguishing surfaces using these invariants.
result Presented infinitely many pairs of Seifert surfaces for each link, satisfying specific conditions.

This work relates the framework of model-based clustering for spatial functional data where the data are surfaces. We first introduce a Bayesian spatial spline regression model with mixed-effects (BSSR) for modeling spatial function data. The BSSR model is based on Nodal basis functions for spatial regression and accom…

2015-08-04abs ↗pdf ↗

Neural networks estimate spatial process likelihoods efficiently.

problem Challenges in estimating spatial processes with slow or intractable likelihoods.
method Convolutional neural networks trained on a classification task to learn likelihood function.
result Neural likelihood surfaces provide fast and accurate parameter estimation.

First, we extend Otal's result for the trivial knot to trivial spatial graphs, namely, we show that for any bridge tangle decomposing sphere S2S^2 for a trivial spatial graph ΓΓ, there exists a 2-sphere FF such that FF contains ΓΓ and FF intersects S2S^2 in a single loop. Next, we introduce two invariants for spat…

2009-09-07abs ↗pdf ↗

Study on spatial graphs and their constituent knots, linking polynomial invariants.

problem Understanding the polynomial invariants of spatial graphs and their constituent knots.
method Analyzing spatial K4K_4 graphs, constructing band surfaces, and relating polynomials.
result Relations between Yamada/Jaeger polynomials and Jones polynomials of constituent knots and associated links.

FFRK automatically extracts features for spatial interpolation without external variables.

problem Spatial interpolation challenges, especially nonstationarity and lack of explanatory variables.
method Feature-Free Regression Kriging (FFRK) method that extracts geospatial features.
result FFRK outperforms classical methods in predicting heavy metal concentrations.

We study the limit of quasilocal mass defined in [4] and [5] for a family of spacelike 2-surfaces in spacetime. In particular, we show the limit coincides with the ADM mass at spatial infinity. The limit for coordinate spheres of a boosted slice of the Schwarzchild solution is computed explicitly and shown to give the …

2009-06-01abs ↗pdf ↗

Type II (ancient) solutions to the Ricci flow on surfaces are not yet classified. It is conjectured that the Rosenau solution and the cigar are the only solutions, modulo scaling. In this paper, we mainly study the backward limit and the circumference at spatial infinity of Type II ancient solutions on noncompact surfa…

2006-11-10abs ↗pdf ↗

Flexible XVAE model for efficient spatial extremes simulation.

problem Complex tail dependence structures in spatial extremes processes.
method Variational autoencoder (XVAE) for modeling flexible and non-stationary dependence.
result XVAE provides fast inference and outperforms traditional models in high dimensions.

It is well known that surface-links in 4-space can be presented by diagrams on the plane of 4-valent spatial graphs with makers on the vertices, called marked graph diagrams. In this paper we extend the method of presenting surface-links by marked graph diagrams to presenting immersed surface-links. We also give some m…

2017-07-15abs ↗pdf ↗

Proposes a deep neural network for spatial data regression.

problem Regression of spatial data using deep neural networks.
method Localized two-layer deep neural network for spatial data, proving consistency and asymptotic convergence.
result Asymptotic convergence rate is faster than existing methods, demonstrating effectiveness on temperature estimation.

In 2+1 dimensions, all complete spacetimes are cylindrical.

problem Understanding rigidity of Ricci flow spacetimes in (2+1)(2+1) dimensions.
method Analyzing complete and sufficiently regular spacetimes, showing they must be cylindrical.
result Every spatial slice is diffeomorphic to a fixed surface, and the spacetime is isometric to a classical Ricci flow.

New equations reveal how cylinder power in progressive lenses depends on geodesic curvature.

problem Current understanding of cylinder power in progressive lenses is incomplete.
method Derived complete compatibility equations for spatially-varying curvature surfaces.
result Cylinder power depends on geodesic curvature, not just principal curvature.

In order to apply quantum topology methods to nonplanar graphs, we define a planar diagram category that describes the local topology of embeddings of graphs into surfaces. These \emph{virtual graphs} are a categorical interpretation of ribbon graphs. We describe an extension of the flow polynomial to virtual graphs, t…

2018-05-01abs ↗pdf ↗

Graph neural networks extend neural Bayes estimators to irregular spatial data.

problem Estimating parameters from irregular spatial data with computational efficiency.
method Employing graph neural networks to approximate Bayes estimators for irregular spatial data.
result Extending neural Bayes estimation to irregular spatial data with computational benefits.

Study of timelike surfaces with time-minimizing rulings in Newtonian and relativistic spacetimes.

problem Understanding time-minimizing paths in spacetime geometries.
method Constructing timelike surfaces ruled by geodesics of Finsler or Jacobi metrics.
result Explicit examples of brachistochrone-ruled timelike surfaces in Minkowski and Schwarzschild spacetimes.

We present in this paper the formalism for the splitting of a four-dimensional Lorentzian manifold by a set of time-like integral curves. Introducing the geometrical tensors characterizing the local spatial frames induced by the congruence (namely, the spatial metric tensor, the extrinsic curvature tensor and the Riema…

2014-05-24abs ↗pdf ↗

A cubing strategy identifies stable hyperparameter regions for uncertainty quantification in spatial deep learning.

problem Uncertainty quantification in spatial deep learning models.
method Cubing-based diagnostic framework to recursively partition hyperparameter space and evaluate regions using scoring rules.
result Our approach produces competitive or superior predictive intervals compared to a statistical baseline model.

The paper classifies maximal translation surfaces in Lorentz-Minkowski space.

problem Classifying maximal translation surfaces in Lorentz-Minkowski space.
method Analyzing surfaces defined as the sum of two spatial curves, proving properties of generating curves, and classifying surfaces based on curve types.
result A full description of maximal translation surfaces, including new examples not found in Euclidean space.

In this expository article, we introduce the topological ideas and context central to the Poincare Conjecture. Our account is intended for a general audience, providing intuitive definitions and spatial intuition whenever possible. We define surfaces and their natural generalizations, manifolds. We then discuss the cla…

2008-03-02abs ↗pdf ↗

A new method for faster spatial modeling on exascale computers.

problem Scalable, memory-efficient machine learning for spatially distributed data.
method Partitioned Sparse Variational Gaussian Process (PSVGP) with decentralized communication.
result Improved spatial predictions and better model fit with minimal overhead.

The paper studies singularities in discrete indefinite affine minimal surfaces.

problem Characterizing singularities in discrete indefinite affine minimal surfaces.
method Discretizing smooth curves and applying discrete Lelieuvre's formulas to study the resulting surfaces.
result The definition of singular edges and vertices in discrete asymptotic nets mirrors properties of smooth surfaces.

Study shows how 3+1D cosmologies can evolve to de Sitter space under certain conditions.

problem Understanding the evolution of 3+1D cosmologies with specific symmetry constraints.
method Mean Curvature Flow methods applied to cosmologies with positive cosmological constant and specific symmetry groups.
result Asymptotically, 3+1D cosmologies evolve to de Sitter space under certain conditions.

In quantum geometry, we consider a set of loops, a compact orientable surface and a solid compact spatial region, all inside R×R3R4\mathbb{R} \times \mathbb{R}^3 \equiv \mathbb{R}^4, which forms a triple. We want to define an ambient isotopic equivalence relation on such triples, so that we can obtain equivalence invariant…

2017-06-15abs ↗pdf ↗

New neural network captures spatial correlations in wind speed predictions.

problem Uncertainty quantification in neural network predictions for high-dimensional, correlated data.
method Training neural networks with multidimensional Gaussian loss, preserving spatial correlation and computational tractability.
result Demonstrated super-resolution of surface wind speed with explicit correlation modeling.

Schwartz's solution to the Björling problem leads to an equivalence class of spatial strips S(t)=(c(t),n(t)) which produce equivalent minimal surfaces. For the particular case when the generating strip S(t) belongs to some plane E and c(t) is symmetric with respect to some straight line in E, the symmetries of the mini…

2010-10-15abs ↗pdf ↗

We discuss the concepts of energy and mass in relativity. On a finitely extended spatial region, they lead to the notion of quasilocal energy/mass for the boundary 2-surface in spacetime. A new definition was found in [27] that satisfies the positivity, rigidity, and asymptotics properties. The definition makes use of …

2012-11-06abs ↗pdf ↗

Innocent musing on geodesics on the surface of helical pasta shapes leads to a single continuous 4-parameter family of surfaces invariant under at least a 1-parameter symmetry group and which contains as various limits spheres, tori, helical tubes, and cylinders, all useful for illustrating various aspects of geometry …

2014-02-13abs ↗pdf ↗

We study the isometry group of a globally hyperbolic spatially compact Lorentz surface. Such a group acts on the circle, and we show that when the isometry group acts non properly, the subgroups of Diff(S1)\mathrm{Diff}(\mathbb{S}^1) obtained are semi conjugate to subgroups of finite covers of PSL(2,R)\mathrm{PSL}(2,\mathbb{R}) by…

2014-02-28abs ↗pdf ↗

NN-GPR improves climate model predictions by preserving fine-scale spatial information.

problem Dilution of fine-scale spatial information and bias in model averaging.
method Gaussian process regression with an infinitely wide deep neural network.
result NN-GPR produces more accurate and detailed climate projections.

In this paper, we propose a new variational model for image reconstruction by minimizing the L1L^1 norm of the \emph{Weingarten map} of image surface (x,y,f(x,y))(x,y,f(x,y)) for a given image f:ΩRf:{\mathrmΩ}\rightarrow \mathbb R. We analytically prove that the Weingarten map minimization model can not only keep the greyscale int…

2019-12-02abs ↗pdf ↗

Associated to an embedded surface in the 33-sphere, we construct a diagram of fundamental groups, and prove that it is a complete invariant, wherefrom we deduce complete invariants of handlebody links, tunnels of handlebody links, and spatial graphs.The main ingredients in the proof of the completeness are a generaliz…

2019-09-20abs ↗pdf ↗