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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.

169,341 papers · 148 categories

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306089119 · Jun 202019922001200920182026
48 results for trigonometric series

Study shows overparameterization helps in generalizing from smooth interpolants.

problem Understanding generalization in overparameterized linear models.
method Analysis of random Fourier series model with weighted trigonometric interpolation.
result Weighted trigonometric interpolation leads to lower generalization error in overparameterized scenarios.

Study on random knots and their projections with varying decay rates of coefficients.

problem Understanding the probability of knot types with a given number of crossings.
method Defined random knots as random periodic functions with Gaussian coefficients, analyzed decay rates of coefficients, and examined projections.
result For certain decay rates of coefficients, the probability of forming a knot type with a given number of crossings decays at least as fast as \(1/N\).

Quantile-Frequency Analysis detects nonlinear dynamics in financial time series.

problem Detecting nonlinear dynamics in financial time series models.
method Quantile periodogram and trigonometric quantile regression.
result QFA provides additional insights into financial time series models.

The study connects circle actions, trigonometric polynomials, and thickenings of metric spaces.

problem Understanding the topology and connectivity of thickenings of metric spaces.
method Combining circle actions, trigonometric polynomials, and geometric proofs.
result Optimal bounds on thickenings of the sphere and circle, proving zero points of trigonometric polynomials.

Deep Gaussian Processes are reinterpreted as deep trigonometric networks for tractable inference.

problem Challenging inference in DGPs due to intractable marginalization in latent function space.
method Viewing DGPs as deep trigonometric networks with Bochner's theorem, and using the wide limit with a bottleneck to translate DGPs into deep trigonometric networks.
result The weight space view yields the same effective covariance functions as obtained in function space, and varying prior distributions over network parameters is equivalent to employing different kernels.

Deformed σ-models linked to Ricci flow and Toda theories.

problem Understanding the relationship between deformed σ-models and geometric flows.
method Exploring trigonometric deformations of CP^n-1 models and their duals, linking to Ricci flow and Toda field theories.
result Trigonometric deformations of CP^n-1 models solve the Ricci flow equation and relate to Toda field theories.

Sigma models linked to Gross-Neveu models via quiver varieties.

problem Understanding the relationship between sigma models and Gross-Neveu models.
method Exploring the mathematical correspondence between sigma models and Gross-Neveu models, including their geometric and trigonometric/elliptic deformations.
result Sigma models are mathematically equivalent to Gross-Neveu models under certain conditions.

Quantum modularity proved for SU(2) TQFT signature on genus 2 surfaces.

problem Proving quantum modularity of SU(2) TQFT signature for genus 2 surfaces.
method Using quantum modularity of generalized Dedekind sums associated with modular forms and trigonometric sum expressions.
result Quantum modularity of SU(2) TQFT signature on genus 2 surfaces proved.

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.

Study geodesics on Grushin spaces, proving upper bounds on conjugate times.

problem Classify geodesics on higher-dimensional Grushin spaces.
method Solve Hamilton's equations using calculus of generalized trigonometric functions, analyze symmetries, and use density arguments.
result Prove a conjectured cut time provides an upper bound on conjugate times.

In this paper we investigate the construction of state models for link invariants using representations of the braid group obtained from various gauge choices for a solution of the trigonometric Yang-Baxter equation. Our results show that it is possible to obtain invariants of regular isotopy (as defined by Kauffman) w…

2000-04-27abs ↗pdf ↗

Study finds the minimum number of finite Gaussian mixtures for best approximation.

problem Finding the minimum number of finite Gaussian mixtures for best approximation.
method Local moment matching for upper bound and spectral analysis for lower bound.
result Corrects a previous lower bound in the case of Gaussian mixing distributions.

Study Fourier estimator for spot volatility with unbounded coefficients and jumps.

problem Estimating spot volatility with unbounded coefficients and jumps in price process.
method Fourier estimator for spot volatility, convergence analysis for unbounded coefficients and jumps.
result Convergence of trigonometric polynomial to volatility's path, almost sure convergence of reconstructed volatility.

The classical Tait-Kneser theorem states that the osculating circles of a smooth plane curve, free from curvature extrema, are pairwise disjoint. We prove a number of analogs of this theorem, e.g., for ovals of osculating cubics, osculating polynomials and trigonometric polynomials; in each case, we will obtain a non-d…

2006-02-14abs ↗pdf ↗

Improved Gaussian Process regression using TQFF over RFF and Gaussian QFF.

problem Limited performance of Quadrature Fourier Features (QFF) in approximating highly oscillatory functions.
method Developed Trigonometric Quadrature Fourier Features (TQFF) using a novel non-Gaussian quadrature rule.
result TQFF provides better approximation accuracy and fewer features compared to RFF and Gaussian QFF.

We develop a transitional geometry, that is, a family of geometries of constant curvatures which makes a continuous connec-tion between the hyperbolic, Euclidean and spherical geometries. In this transitional setting, several geometric entities like points, lines, dis-tances, triangles, angles, area, curvature, etc. as…

2014-11-21abs ↗pdf ↗

Quantum neural networks approximate periodic functions more efficiently.

problem Approximating periodic functions with quantum neural networks.
method Using Jackson's inequality to construct a QNN that approximates a trigonometric polynomial of the function.
result Quantum neural networks can achieve better approximation results with fewer parameters for smoother functions.

An innovative extension of Geometric Brownian Motion model is developed by incorporating a weighting factor and a stochastic function modelled as a mixture of power and trigonometric functions. Simulations based on this Modified Brownian Motion Model with optimal weighting factors selected by goodness of fit tests, sub…

2015-07-08abs ↗pdf ↗

Wavelets improve accuracy in solving backward SDEs.

problem Solving backward stochastic differential equations (SDEs) with high accuracy and simplicity.
method Time discretization combined with trigonometric wavelets, enhanced by antireflective boundary technique.
result Improved numerical algorithm for SDEs with enhanced accuracy and ease of implementation.

Algorithm finds real-analytic Legendrian representatives for every link type.

problem Finding explicit expressions for Legendrian representatives and Bateman fields.
method Algorithm based on trigonometric polynomials and solving linear equations.
result No compact subset of R^3 can contain an electromagnetic knot indefinitely.

We study sparse approximation by greedy algorithms. We prove the Lebesgue-type inequalities for the Weak Chebyshev Greedy Algorithm (WCGA), a generalization of the Weak Orthogonal Matching Pursuit to the case of a Banach space. The main novelty of these results is a Banach space setting instead of a Hilbert space setti…

2013-03-27abs ↗pdf ↗

Recently, the explicit volume formulae for hyperbolic cone-manifolds, whose underlying space is the 3-sphere and the singular set is the knot 414_1 and the links 5125^2_1 and 6226^2_2, have been obtained by the second named author and his collaborators. In this paper we explicitly find the hyperbolic volume for cone-mani…

2003-07-14abs ↗pdf ↗

The notion of a generalized harmonic inverse mean curvature surface in the Euclidean four-space is introduced. A backward Bäcklund transform of a generalized harmonic inverse mean curvature surface is defined. A Darboux transform of a generalized harmonic inverse mean curvature surface is constructed by a backward Bäck…

2012-11-20abs ↗pdf ↗

Quantum flag manifold σ-models are integrable and satisfy Ricci flow equations.

problem Integrating quantum flag manifold σ-models with fermions.
method Gauging bosonic Thirring/Gross-Neveu-type systems, adding fermions to cancel anomalies, and checking Ricci flow equations.
result Trigonometrically deformed geometries of flag manifold σ-models satisfy generalized Ricci flow equations.

The paper shows the computation of the noncommutative generalization of the A-polynomial of the trefoil knot. The classical A-polynomial was introduced by Cooper, Culler, Gillet, Long and Shalen, and was generalized to the context of Kauffman bracket skein modules by the author in joint work with Frohman and Lofaro. A …

2000-04-25abs ↗pdf ↗

We introduce SARR for symmetric object pose estimation, improving CNN performance.

problem Ambiguities in symmetric object orientations hinder deep learning pose estimation.
method Numeric rotation representation using symmetry-derived trigonometric identities.
result SARR enables standard CNNs to achieve state-of-the-art performance.

Given a knot K in an Euclidean space E and a finite dimensional space V of smooth functions on K, we express the expected number of critical points of a random function in V in terms of an integral-geometric invariant of K and V. When V consists of the restrictions to K of homogeneous polynomials of degree d on E, this…

2010-06-07abs ↗pdf ↗

This paper is focused on geometric aspects of two particular types of finite-variable reductions in the dispersionless Toda hierarchy. The reductions are formulated in terms of "Landau-Ginzburg potentials" that play the role of reduced Lax functions. One of them is a generalization of Dubrovin and Zhang's trigonometric…

2012-06-06abs ↗pdf ↗

We prove a Chern-Lashof type formula computing the expected number of critical points of smooth function on a smooth manifold MM randomly chosen from a finite dimensional subspace VC(M)V\subset C^\infty(M) equipped with a Gaussian probability measure. We then use this formula this formula to find the asymptotics of the e…

2010-08-30abs ↗pdf ↗

This paper is based on the introduction to the monograph ``Double affine Hecke algebras'' to be published by Cambridge University Press. The connections with Knizhnik-Zamolodchikov equations, Kac-Moody algebras, tau-function, harmonic analysis on symmetric spaces, and special functions are discussed. The rank one case …

2004-04-17abs ↗pdf ↗