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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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305989118 · Jun 202019922001200920172026
48 results for spatial curves

Defines non-parabolic curves in spatial hybrid space with applications.

problem Defining and analyzing non-parabolic spatial hybrid framed curves.
method Definition and proof of existence and uniqueness theorem for non-parabolic spatial hybrid framed curves.
result Existence and uniqueness theorem for non-parabolic spatial hybrid framed curves.

We derive Frenet-type results and invariants of spatial curves immersed in 33-dimensional generalized Minkowski spaces, i.e., in linear spaces which satisfy all axioms of finite dimensional real Banach spaces except for the symmetry axiom. Further on, we characterize cylindrical helices and rectifying curves in such s…

2020-01-06abs ↗pdf ↗

A region crossing change at a region of a spatial-graph diagram is a transformation changing every crossing on the boundary of the region. In this paper, it is shown that every spatial graph consisting of theta-curves can be unknotted by region crossing changes.

2019-10-27abs ↗pdf ↗

The Frenet frame is generally known an orthonormal vector frame for curves. But, it does not always meet the needs of curve characterizations. In this study, with the help of associated curves of any spatial curve we obtained a new orthonormal frame which has the property that the second vector makes a constant angle w…

2014-04-28abs ↗pdf ↗

This paper investigates the equivalence between Yamada polynomial and Jones polynomial of associated links for brunnian θ-curves.

problem Understanding the relationship between Yamada polynomial and Jones polynomial for θ-curves.
method Investigates the equivalence between the normalized Yamada polynomial of θ-curves and the Jones polynomial of their associated links.
result Shows that the two polynomials are equivalent for brunnian θ-curves.

The evolute of a smooth curve in an m-dimensional Euclidean space is the locus of centers of its osculating spheres, and the evolute of a spatial polygon is the polygon whose consecutive vertices are the centers of the spheres through the consecutive (m+1)-tuples of vertices of the original polygon. We study the iterat…

2016-11-27abs ↗pdf ↗

Determining unknotting numbers is a large and widely studied problem. We consider the more general question of the unknotting number of a spatial graph. We show the unknotting number of spatial graphs is subadditive. Let gg be an embedding of a planar graph GG, then we show u(g)max{u(s)u(g) \geq \max\{u(s) | ss is a non-overl…

2017-10-14abs ↗pdf ↗

Connected sum and trivalent vertex sum are natural operations on genus 2 spatial graphs and, as with knots, tunnel number behaves in interesting ways under these operations. We prove sharp Scharlemann-Schultens type bounds for the tunnel number of a composite genus 2 spatial graph. For the tunnel number of a composite …

2019-12-18abs ↗pdf ↗

Spatially-aware model improves earthquake hazard assessment accuracy.

problem Misrepresentation of seismic effects across diverse landscapes.
method Causal Bayesian network with Gaussian Processes and normalizing flows.
result Achieves up to 35.2% AUC improvement over existing methods.

We present a novel algorithm for deciding whether a given planar curve is an image of a given spatial curve, obtained by a central or a parallel projection with unknown parameters. The motivation comes from the problem of establishing a correspondence between an object and an image, taken by a camera with unknown posit…

2013-03-14abs ↗pdf ↗

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.

Determinants of theta curves and symmetric graphs are studied.

problem Understanding the determinants of theta curves and symmetric graphs.
method Combinatorial approach using Kirchhoff's Matrix Tree Theorem and spanning tree enumeration.
result The determinant of a simple theta curve is the product of the determinants of its constituent knots.

We consider the problem Pcurve\mathbf{P_{curve}} of minimizing 0Lξ2+κ2(s)ds\int \limits_0^L \sqrt{ξ^2 + κ^2(s)} \, {\rm d}s for a curve x\mathbf{x} on R\mathbb R with fixed boundary points and directions. Here the total length L0L\geq 0 is free, ss denotes the arclength parameter, κκ denotes the absolute curvature of $\mathbf{x}…

2013-05-26abs ↗pdf ↗

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 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 ↗

Study uses regression and ML for COVID-19 mortality forecasting.

problem Forecasting COVID-19 mortality during the first wave in Spain.
method Cyclical curve log-regression, multivariate time series spatial residual correlation analysis, Bayesian approach, machine learning.
result Empirical analysis shows ML regression models perform better than traditional methods.

The CkC_k-equivalence is an equivalence relation generated by CkC_k-moves defined by Habiro. Habiro showed that the set of CkC_k-equivalence classes of the knots forms an abelian group under the connected sum and it can be classified by the additive Vassiliev invariant of order k1\leq k-1. We see that the set of CkC_k-…

2001-04-18abs ↗pdf ↗

We study the minimal crossing number c(K1#K2)c(K_{1}\# K_{2}) of composite knots K1#K2K_{1}\# K_{2}, where K1K_1 and K2K_2 are prime, by relating it to the minimal crossing number of spatial graphs, in particular the 2n2n-theta curve θK1,K2nθ_{K_{1},K_{2}}^n that results from tying nn of the edges of the planar embedding of the $2n…

2017-09-15abs ↗pdf ↗

Study on knot properties, showing relation between unknotting and crossing numbers.

problem Relations between unknotting and crossing numbers of spatial embeddings.
method Analyzes handcuff-graphs and theta curves, extends known results to handlebody-knots.
result Characterizes handlebody-knots satisfying the equality between unknotting and crossing numbers.

We discretize a cost functional for image registration problems by deriving Taylor expansions for the matching term. Minima of the discretized cost functionals can be computed with no spatial discretization error, and the optimal solutions are equivalent to minimal energy curves in the space of kk-jets. We show that t…

2014-12-23abs ↗pdf ↗

In general relativity, spatial light rays of static spherically symmetric spacetimes are geodesics of surfaces in Riemannian optical geometry. In this paper, we apply results on the isoperimetric problem to show that length-minimizing curves subject to an area constraint are circles, and discuss implications for the ph…

2019-02-05abs ↗pdf ↗

Unified framework detects shifts in climate boundaries using GP regression and MAD test.

problem Challenges in quantifying and testing for temporal shifts in spatial boundaries from noisy data.
method Combines heteroskedastic GP regression with scaled MAD GET.
result No significant decade-scale changes in arid and semi-arid interfaces, but localized shifts during extreme droughts identified.

This paper improves MARL for networked systems through new protocols and discount factors.

problem Improving control in networked systems using multi-agent reinforcement learning.
method Formulated as a spatiotemporal Markov decision process, introduced a spatial discount factor, and proposed NeurComm.
result Appropriate spatial discount factor enhances learning curves of non-communicative MARL algorithms.

Improved Strichartz estimates for Schrödinger equation on negatively curved manifolds.

problem Improving Strichartz estimates for Schrödinger equation on negatively curved compact manifolds.
method Analyzing the Schrödinger equation on negatively curved compact manifolds, obtaining improved Strichartz estimates.
result Improved Strichartz estimates, including no-loss estimates for hyperbolic surfaces.

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.

Spatial blind source separation simplifies multivariate spatial prediction.

problem Predicting multivariate measurements at unobserved locations with spatial dependencies.
method Spatial blind source separation as a pre-processing tool compared to Cokriging and neural networks.
result Spatial blind source separation simplifies spatial prediction by avoiding cross-dependencies.