Research
On-device research index

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

Trend · papers per month

4285127169 · Jun 202019922001200920172026
48 results for spatial volume densities

Study shows how near crushing singularities, Kasner-like regions can exist.

problem Understanding spatial volume densities near crushing singularities.
method Relates existence of Kasner-like regions to asymptotics of spatial volume densities under scale-invariant curvature bounds.
result Kasner-like regions can exist near crushing singularities under certain curvature conditions.

We study, using Mean Curvature Flow methods, 2+1 dimensional cosmologies with a positive cosmological constant and matter satisfying the dominant and the strong energy conditions. If the spatial slices are compact with non-positive Euler characteristic and are initially expanding everywhere, then we prove that the spat…

2019-02-01abs ↗pdf ↗

The study applies spatial density models to mobile node movements using Möbius distributions.

problem Modeling the steady-state density of mobile nodes on a 2D terrain.
method Used mixture density networks with Möbius distributions to describe node density over a disk.
result Möbius distributions are more suitable for capturing radial changes in node density compared to Gaussian distributions.

The volume density of a hyperbolic link is defined as the ratio of hyperbolic volume to crossing number. We study its properties and a closely-related invariant called the determinant density. It is known that the sets of volume densities and determinant densities of links are dense in the interval [0,v_{oct}]. We cons…

2015-10-20abs ↗pdf ↗

Study shows volume density in central harmonic spaces can vary arbitrarily.

problem Volume density in central harmonic spaces can vary arbitrarily.
method Analyzes asymptotics of volume density function in central harmonic manifolds.
result Volume density in central harmonic spaces can be specified arbitrarily and does not determine geometry.

The volume density\textit{volume density} of a hyperbolic link KK is defined to be the ratio of the hyperbolic volume of KK to the crossing number of KK. We show that there are sequences of non-alternating links with volume density approaching v8v_8, where v8v_8 is the volume of the ideal hyperbolic octahedron. We show that the…

2015-07-07abs ↗pdf ↗

New method preserves GCM spatial dependencies for better climate projections.

problem Systemic biases in GCM output and loss of spatial/temporal dependencies.
method SPECD approach using Vecchia approximation and semi-parametric quantile regression.
result SPECD preserves key marginal and joint distribution properties of precipitation and temperature.

We survey the construction and properties of the Yamada polynomial of spatial graphs and present the Yamada polynomial formulae for some classes of graphs. Then we construct an infinite family of spatial graphs for which roots of Yamada polynomials are dense in the complex plane.

2018-10-27abs ↗pdf ↗

Study fully augmented links in thickened torus, generalizing S3S^3 results.

problem Classify and describe geometric properties of fully augmented links in thickened torus.
method Geometric analysis and decomposition of link complements into ideal right-angled torihedra.
result Proves Volume Density Conjecture for fully augmented links in thickened torus.

Traditionally it had been a problem that researchers did not have access to enough spatial data to answer pressing research questions or build compelling visualizations. Today, however, the problem is often that we have too much data. Spatially redundant or approximately redundant points may refer to a single feature (…

2018-03-21abs ↗pdf ↗

The paper studies the past inextendibility of FLRW spacetimes using the VDR asymptote.

problem Investigating the past inextendibility of FLRW spacetimes.
method Using the volume-distance-ratio (VDR) asymptote to assess spacetime inextendibility criteria.
result Conditions for past inextendibility of FLRW spacetimes are identified.

SLS optimizes minimum-volume regions for conditional quantiles, bypassing density estimation.

problem Constructing minimum-volume prediction regions that satisfy conditional coverage.
method Super-level-set regression (SLS) directly optimizes geometric boundaries of conditional level sets.
result SLS optimizes regions directly, capturing complex conditional structures end-to-end.

H-STGCN predicts traffic using navigation data and improves accuracy.

problem Limited accuracy in traffic forecasting due to lack of contextual information.
method Proposes H-STGCN, a hybrid spatio-temporal graph convolutional network.
result H-STGCN outperforms state-of-the-art methods in various metrics, especially for non-recurring congestion.

We show a general relation between the spatially disjoint product of probability density functions and the sum of their Fisher information metric tensors. We then utilise this result to give a method for constructing the probability density functions for an arbitrary Riemannian Fisher information metric tensor. We note…

2015-04-13abs ↗pdf ↗

We find that cusp densities of hyperbolic knots in the 3-sphere are dense in [0,0.6826...] and those of links are dense in [0,0.853...]. We define a new invariant associated with cusp volume, the cusp crossing density, as the ratio between the cusp volume and the crossing number of a link, and show that cusp crossing d…

2017-01-12abs ↗pdf ↗

We show that noncompact simply connected harmonic manifolds with volume density Θp(r)=sinhn1rΘ_{p}(r) =\sinh ^{n-1} r is isometric to the real hyperbolic space and noncompact simply connected Kähler harmonic manifold with volume density Θp(r)=sinh2n1rcoshrΘ_{p}(r) =\sinh ^{2n-1} r \cosh r is isometric to the complex hyperbolic space. A similar re…

1996-03-24abs ↗pdf ↗

The paper studies quasimorphisms on density-preserving diffeomorphisms of the Möbius band.

problem Exploring quasimorphisms on groups of diffeomorphisms of non-orientable manifolds.
method Investigates the group of density-preserving diffeomorphisms on the Möbius band and shows the existence of unbounded quasimorphisms.
result The group of density-preserving diffeomorphisms on the Möbius band admits countably many unbounded quasimorphisms.

Understanding how spatial configurations of economic activity emerge is important when formulating spatial planning and economic policy. A simple model was proposed by Simon, who assumed that firms grow at a rate proportional to their size, and that new divisions of firms with certain probabilities relocate to other fi…

2012-04-30abs ↗pdf ↗

We completely characterize isoperimetric regions in R^n with density e^h, where h is convex, smooth, and radially symmetric. In particular, balls around the origin constitute isoperimetric regions of any given volume, proving the Log-Convex Density Conjecture due to Kenneth Brakke.

2013-11-16abs ↗pdf ↗

This paper improves Green's function estimates for compact Kähler manifolds.

problem Estimating Green's function norms for compact Kähler manifolds without curvature bounds.
method Proves an improved integral estimate for Green's function under volume density condition.
result Improved global geometric estimates, including eigenvalue bounds for Laplacian.

We recently discovered a relationship between the volume density spectrum and the determinant density spectrum for infinite sequences of hyperbolic knots. Here, we extend this study to new quantum density spectra associated to quantum invariants, such as Jones polynomials, Kashaev invariants and knot homology. We also …

2015-06-18abs ↗pdf ↗

An unsupervised learning algorithm to cluster hyperspectral image (HSI) data is proposed that exploits spatially-regularized random walks. Markov diffusions are defined on the space of HSI spectra with transitions constrained to near spatial neighbors. The explicit incorporation of spatial regularity into the diffusion…

2019-02-08abs ↗pdf ↗

The paper connects complex normalizing flows to Kähler-Ricci flows using geometric and statistical perspectives.

problem Understanding the relationship between complex normalizing flows and Kähler-Ricci flows.
method Develops connections between complex normalizing flows and Kähler-Ricci flows by relating the log determinant to Ricci curvature and using a Bayesian perspective.
result Reconciles the complex normalizing flow and Kähler-Ricci flow, showing they are related under certain conditions.

We give a derivation of the Einstein equation for gravity which employs a definition of the local energy density of the gravitational field as a symmetric second rank tensor whose value for each observer gives the trace of the spatial part of the energy-stress tensor as seen by that observer. We give a physical motivat…

2008-03-11abs ↗pdf ↗

We consider odd Laplace operators acting on densities of various weight on an odd Poisson (= Schouten) manifold MM. We prove that the case of densities of weight 1/2 (half-densities) is distinguished by the existence of a unique odd Laplace operator depending only on a point of an ``orbit space'' of volume forms. This…

2002-05-18abs ↗pdf ↗

Formulae for Masur-Veech volumes and frequencies of geodesics derived from intersection numbers.

problem Calculating volumes and frequencies of geodesics in moduli spaces.
method Lattice point counts and intersection numbers of ψ-classes, with explicit rational coefficients.
result Formulae for Masur-Veech volumes and frequencies of simple closed geodesics.

RFN models urban mobility demand by separating temporal and spatial variability.

problem Aligning supply and demand in MoD systems for efficient transportation.
method Recurrent flow networks with latent variables and normalizing flows.
result RFN models explicitly disentangle temporal and spatial variability in urban mobility.

Automated rock fragmentation assessment using deep learning and spatial statistics.

problem Assessing post-blast rock fragmentation in real-time.
method Fine-tuned YOLO12l-seg model for instance segmentation, followed by spatial statistics.
result Framework accurately assesses rock fragmentation patterns in real-time.

We define a stochastic model of a two-sided limit order book in terms of its key quantities \textit{best bid [ask] price} and the \textit{standing buy [sell] volume density}. For a simple scaling of the discreteness parameters, that keeps the expected volume rate over the considered price interval invariant, we prove a…

2015-01-05abs ↗pdf ↗