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

316192122 · Jun 202019922001200920172026
48 results for area identity

We prove that every stationary polyhedral varifold minimizes area in the following senses: (1) its area cannot be decreased by a one-to-one Lipschitz ambient deformation that coincides with the identity outside of a compact set, and (2) it is the varifold associated to a mass-minimizing flat chain with coefficients in …

2019-11-30abs ↗pdf ↗

Horseshoe priors improve small area estimation by borrowing strength globally but locally.

problem Improving precision of small area estimators through global-local borrowing of strength.
method Developed a tail-robust horseshoe model for Fay-Herriot small area estimation, using heteroscedastic Tweedie identity and regular variation theory.
result The horseshoe model outperforms structured Gaussian smoothing on strongly spatial data, identifying exceptional areas that smoothing suppresses.

Consider a connected manifold of dimension at least two and the group of compactly supported diffeomorphisms that are compactly supported isotopic to the identity. This group acts nn-transitive: Any tuple of nn points can be moved to any other tuple of nn points by a compactly supported diffeomorphism that is compac…

2019-11-15abs ↗pdf ↗

This paper constructs Brownian motion on complex flag manifolds and finds joint distribution of stochastic areas.

problem Modeling stochastic areas on complex partial flag manifolds.
method Constructs Brownian motion on complex partial flag manifolds and uses it to find joint distribution of stochastic areas.
result Limit law of stochastic areas is a multivariate Cauchy distribution.

Random forests and LASSO methods improve small area estimation using auxiliary data.

problem Estimating household consumption in small areas with limited sampled data.
method Model-based small area estimation using random forests and LASSO with auxiliary information.
result Bayesian shrinkage performed best in terms of bias, MSE, and prediction interval coverages.

The Riemannian submersion π:SO0(1,n)Hn π: \text{SO}_0(1,n) \to \mathbb{H}^n is a principal bundle and its fiber at π(e) π(e) is the imbedding of SO(n)\text{SO}(n) into SO0(1,n) \text{SO}_0(1,n) , where ee is the identity of both SO0(1,n)\text{SO}_0(1,n) and SO(n)\text{SO}(n). In this study, we associate a curve, starting from the identity, in $\…

2010-04-13abs ↗pdf ↗

For a stable marginally outer trapped surface (MOTS) in an axially symmetric spacetime with cosmological constant Λ>0Λ> 0 and with matter satisfying the dominant energy condition, we prove that the area AA and the angular momentum JJ satisfy the inequality 8πJA(1ΛA/4π)(1ΛA/12π)8π|J| \le A\sqrt{(1-ΛA/4π)(1-ΛA/12π)} which is saturated pre…

2015-01-28abs ↗pdf ↗

For simple Lie groups, the only homogeneous manifolds G/KG/K, where KK is maximal compact subgroup,for which the phase of the scalar product of two coherent state vectors is twice the symplectic area of a geodesic triangle are the hermitian symmetric spaces. An explicit calculation of the multiplicative factor on the c…

2004-08-18abs ↗pdf ↗

The least absolute shrinkage and selection operator (lasso) and ridge regression produce usually different estimates although input, loss function and parameterization of the penalty are identical. In this paper we look for ridge and lasso models with identical solution set. It turns out, that the lasso model with shri…

2014-01-10abs ↗pdf ↗

The Schwarzian action is linked to the area of Epstein curves in hyperbolic geometry.

problem Understanding the relationship between the Schwarzian action and geometric properties of curves.
method Applying Epstein's construction to relate the Schwarzian action to the area of Epstein curves in hyperbolic disk.
result The Schwarzian action is equivalent to the logarithm of the bi-local observable in Schwarzian field theory.

This paper develops a path-first theory using signatures and jump lifts for self-exiting processes.

problem Developing a universal coordinate system for various types of paths and processes.
method Using signatures, jump lifts, and expected signatures, the paper presents a geometricity framework with algebraic properties and obstructions.
result The framework links various mathematical concepts and offers four main contributions to understanding and modeling self-exiting processes.

In the present paper we use twistor theory in order to solve two problems related to harmonic maps from surfaces to Euclidean spheres Sn\mathbb{S}^n. First, we propose a new approach to isoperimetric inequalities based on energy index. Using this approach we show that for any positive kk, the kk-th non-zero eigenvalu…

2019-05-08abs ↗pdf ↗

In the era of big data, reducing data dimensionality is critical in many areas of science. Widely used Principal Component Analysis (PCA) addresses this problem by computing a low dimensional data embedding that maximally explain variance of the data. However, PCA has two major weaknesses. Firstly, it only considers li…

2017-02-17abs ↗pdf ↗

We show that for any positive integer k, the k-th nonzero eigenvalue of the Laplace-Beltrami operator on the two-dimensional sphere endowed with a Riemannian metric of unit area, is maximized in the limit by a sequence of metrics converging to a union of k touching identical round spheres. This proves a conjecture pose…

2017-06-18abs ↗pdf ↗

Electronic medical records (EMRs) supports the development of machine learning algorithms for predicting disease incidence, patient response to treatment, and other healthcare events. But insofar most algorithms have been centralized, taking little account of the decentralized, non-identically independently distributed…

2019-03-22abs ↗pdf ↗

Data generated by cars is growing at an unprecedented scale. As cars gradually become part of the Internet of Things (IoT) ecosystem, several stakeholders discover the value of in-vehicle network logs containing the measurements of the multitude of sensors deployed within the car. This wealth of data is also expected t…

2019-10-25abs ↗pdf ↗

CAWs learn temporal network dynamics without node identities or edge attributes.

problem Learning temporal network dynamics without node identities or edge attributes.
method Causal Anonymous Walks (CAWs) using temporal random walks and hitting counts.
result CAW-N outperforms previous methods in predicting links over 6 real temporal networks.

This paper discovers new identities linking geodesic and orthogeodesic lengths on hyperbolic surfaces.

problem Understanding relationships between geodesic and orthogeodesic lengths on hyperbolic surfaces.
method Investigates a broad family of identities involving lengths of all closed geodesics and orthogeodesics.
result Introduces new identities that include lengths of all closed geodesics, contrasting with previous identities.

Quandle homology was defined from rack homology as the quotient by a subcomplex corresponding to the idempotency, for invariance under the type I Reidemeister move. Similar subcomplexes have been considered for various identities of racks and moves on diagrams. We observe common aspects of these identities and subcompl…

2016-02-27abs ↗pdf ↗

The Ryu-Takayanagi conjecture connects the entanglement entropy in the boundary CFT to the area of open co-dimension two minimal surfaces in the bulk. Especially in AdS(4), the latter are two-dimensional surfaces, and, thus, solutions of a Euclidean non-linear sigma model on a symmetric target space that can be reduced…

2016-12-12abs ↗pdf ↗

We survey recent results in hermitian integral geometry, i.e. integral geometry on complex vector spaces and complex space forms. We study valuations and curvature measures on complex space forms and describe how the global and local kinematic formulas on such spaces were recently obtained. While the local and global k…

2016-12-05abs ↗pdf ↗

The paper derives curvature identities for 5D and 6D Einstein manifolds.

problem Deriving curvature identities for specific dimensions of Einstein manifolds.
method Using Patterson's curvature identities and the Chern-Gauss-Bonnet Theorem, the paper provides explicit formulae for 5D and 6D Einstein manifolds.
result The curvature identities for 5D and 6D Einstein manifolds are confirmed to be consistent with previous work.

Let MM be a closed oriented surface and let ΩΩ be a non-exact 2-form. Suppose that the magnetic flow φφ of the pair (g,Ω)(g,Ω) is Anosov. We show that the longitudinal KAM-cocycle of φφ is a coboundary if and only the Gaussian curvature is constant and ΩΩ is a constant multiple of the area form thus extending the res…

2005-01-11abs ↗pdf ↗

User identity linkage is a task of recognizing the identities of the same user across different social networks (SN). Previous works tackle this problem via estimating the pairwise similarity between identities from different SN, predicting the label of identity pairs or selecting the most relevant identity pair based …

2019-10-31abs ↗pdf ↗