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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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76152228304 · Jun 202019922001200920172026
48 results for Eigenvalue convergence

The paper proves inequalities for Steklov eigenvalues on finite graphs.

problem Eigenvalues of Laplacians for reversible Markov chains and Steklov eigenvalues.
method Generalized Cheeger inequalities, convergence results, and resolvent convergence.
result Sharp estimate for the first non-trivial Steklov eigenvalue.

Recall that Federer-Fleming defined the notion of flat convergence of submanifolds of Euclidean space to solve the Plateau problem. Here we prove the upper semicontinuity of Neumann eigenvalues of the submanifolds when they converge in the flat sense without losing volume. With an additional condition on the boundaries…

2012-09-19abs ↗pdf ↗

Eigenvalues of manifolds with cylindrical boundaries approximated by graph Laplacians.

problem Approximating eigenvalues of manifolds with cylindrical boundaries.
method Using truncated graph Laplacians constructed from (ε,ρ)(\varepsilon,ρ)-proximity graphs.
result Eigenvalues of truncated graph Laplacians converge to Dirichlet eigenvalues of the Laplace-Beltrami operator.

Graph Laplacian approximates manifold eigenvalues with controlled curvature bounds.

problem Approximating eigenvalues of Laplace-Beltrami on manifolds with bounded Ricci curvature.
method Graph discretization of Riemannian manifolds with (ε,ρ)(ε,ρ)-approximation, proving eigenvalue convergence.
result Graph Laplacian eigenvalues converge uniformly to manifold Laplacian eigenvalues as parameters approach zero.

The extragradient method accelerates convergence in complex game dynamics.

problem Complex interactions in game dynamics cause simple methods to diverge, necessitating more sophisticated approaches.
method A polynomial-based analysis to identify three scenarios for accelerated convergence of the momentum extragradient method.
result The momentum extragradient method achieves faster convergence under specific eigenvalue conditions.

The paper proves spectral convergence rates for graph Laplacian to manifold Laplace-Beltrami operator.

problem Spectral convergence of graph Laplacian to manifold Laplace-Beltrami operator.
method Analysis of Dirichlet form convergence and construction of approximate eigenfunctions via manifold heat kernel.
result Proves spectral convergence rates for Gaussian kernelized graph Laplacian.

Spectral methods that are based on eigenvectors and eigenvalues of discrete graph Laplacians, such as Diffusion Maps and Laplacian Eigenmaps are often used for manifold learning and non-linear dimensionality reduction. It was previously shown by Belkin and Niyogi \cite{belkin_niyogi:2007} that the eigenvectors and eige…

2013-06-07abs ↗pdf ↗

Study eigenvalues and shapes, proving sharp inequalities for Steklov eigenvalues.

problem Eigenvalue continuity and shape optimization for Laplace and Steklov problems.
method Variational eigenvalue analysis, Sobolev space convergence, shape optimization techniques.
result Sharp isoperimetric inequalities for Steklov eigenvalues, upper bound 8πk8\pi k for kk-th perimeter-normalized eigenvalue.

Spheres' spectral structure converges to Gaussian space's as dimensions grow.

problem Understanding spectral convergence between high-dimensional spheres and Gaussian spaces.
method Proving spectral convergence using projections and eigenvalues.
result Spectral structure on high-dimensional spheres converges to Gaussian space's as dimensions increase.

Active data collection improves convergence rates in operator learning.

problem Improving convergence rates in operator learning with linear target and stochastic input.
method Active data collection strategies with mean-zero stochastic process and continuous covariance kernels.
result Achieves arbitrarily fast error convergence rates with eigenvalue decay of covariance kernels.

The paper analyzes spectral properties of connection Laplacian on tori, proving convergence to real torus.

problem Spectral analysis of connection Laplacian on tori.
method Employing parallel orthonormal basis in pullback bundle, examining eigenvalues of connection Laplacian on real and discrete tori.
result Eigenvalues of connection Laplacian on discrete tori converge to those on real torus, with unique twist in torsion matrix.

The paper studies eigenvalue problems on manifolds and recovers known inequalities.

problem Eigenvalue problems on complete compact Riemannian manifolds with Dirichlet boundary conditions.
method Cheng comparison estimates, Faber-Krahn inequality, Cheeger estimates.
result Eigenvalue bounds and convergence to Cheeger's constant as p,qo1,1p,q o 1,1.

Study on eigenvalue distribution of correlated time series, showing deformation of Marchenko-Pastur distribution.

problem Eigenvalue distribution of Wishart matrix with temporal correlation.
method Analysis of moments and convergence to deformed Marchenko-Pastur distribution for Gaussian process with temporal correlation.
result Eigenvalue distribution converges to deformed Marchenko-Pastur distribution with longer tail and higher peak.

Gradient descent proves global convergence for 4-layer matrix factorization.

problem Global convergence of gradient descent on four-layer matrix factorization under random initialization.
method New techniques to show saddle-avoidance properties and extend eigenvalue theories.
result Polynomial-time global convergence guarantee for randomly initialized gradient descent on four-layer matrix factorization.

The paper studies free boundary minimal surfaces with many boundaries and their convergence to closed minimal surfaces.

problem Sharp isoperimetric inequalities for Steklov eigenvalues on surfaces with many boundary components.
method Maximization of Steklov eigenvalues and convergence analysis of free boundary minimal surfaces.
result Free boundary minimal surfaces converge to closed minimal surfaces in the boundary sphere as the number of boundary components increases.

By introducing a weight function to the Laplace operator, Bakry and Émery defined the "drift Laplacian" to study diffusion processes. Our first main result is that, given a Bakry-Émery manifold, there is a naturally associated family of graphs whose eigenvalues converge to the eigenvalues of the drift Laplacian as the …

2010-02-28abs ↗pdf ↗

Principal component analysis (PCA) is one of the most commonly used statistical procedures with a wide range of applications. Consider the points X1,X2,...,XnX_1, X_2,..., X_n are vectors drawn i.i.d. from a distribution with mean zero and covariance ΣΣ, where ΣΣ is unknown. Let An=XnXnTA_n = X_nX_n^T, then E[An]=ΣE[A_n] = Σ. This paper …

2018-08-28abs ↗pdf ↗

We derive various pinching results for small Dirac eigenvalues using the classification of spinc\text{spin}^c and spin manifolds admitting nontrivial Killing spinors. For this, we introduce a notion of convergence for spinc\text{spin}^c manifolds which involves a general study on convergence of Riemannian manifolds with a pr…

2016-04-06abs ↗pdf ↗

We prove a lower bound for the kk-th Steklov eigenvalues in terms of an isoperimetric constant called the kk-th Cheeger-Steklov constant in three different situations: finite spaces, measurable spaces, and Riemannian manifolds. These lower bounds can be considered as higher order Cheeger type inequalities for the Ste…

2017-05-24abs ↗pdf ↗

Study on geodesics and eigenvalues on random hyperbolic surfaces with cusps.

problem Counting short geodesics and small eigenvalues on random hyperbolic surfaces.
method Rescaling and convergence to a Poisson point process.
result The probability of having at least k=o(n)k=o(n) arbitrarily small eigenvalues tends to 1 as non o\infty.

Study on eigenvalue distribution of correlated time series deforming the semi-circle law.

problem Eigenvalue distribution of correlated time series differs from the semi-circle law.
method Analysis of Wigner random matrix with temporal correlation.
result Eigenvalue distribution converges to a deformed semi-circle law with longer tail and higher peak.

Improved convergence speed of principal component analysis through modified learning rules.

problem Slow convergence for covariance matrices with close eigenvalues.
method Introduced an additional term to the objective function to mitigate convergence issues.
result Significantly improved convergence speed confirmed through simulations.

Study eigenvalues of Laplace operator on specific 3D manifolds under Ricci flow.

problem Analyze eigenvalues of Laplace operator with potential under backward Ricci flow.
method Use backward Ricci flow on locally homogeneous 3-manifolds, derive bounds and convergence results.
result Eigenvalue λ+(t)λ^{+}(t) approaches zero as flow converges to sub-Riemannian geometry.

In this paper, we define a new capacity which allows us to control the behaviour of the Dirichlet spectrum of a compact Riemannian manifold with boundary, with "small" subsets (which may intersect the boundary) removed. This result generalizes a classical result of Rauch and Taylor ("the crushed ice theorem"). In the s…

2005-04-08abs ↗pdf ↗

We use the theory of rectifiable metric spaces to define a Dirichlet energy of Lipschitz functions defined on the support of integral currents. This energy is obtained by integration of the square of the norm of the tangential derivative, or equivalently of the approximate local dilatation, of the Lipschitz functions. …

2014-01-20abs ↗pdf ↗

We propose a method to clean covariance matrices of nonstationary systems by using time-independent eigenvalues.

problem Noise in covariance matrices of nonstationary systems with time-independent eigenvalues.
method Data-driven approach to use independent eigenvalues encoding long-term influence of future on present.
result Our method outperforms optimal stationary methods for filtering covariance matrix and its inverse.

Study eigenvalues and eigenvectors in neural networks, focusing on signal propagation.

problem Characterize signal eigenvalues and eigenvectors in neural networks.
method Characterizes signal eigenvalues and eigenvectors for a nonlinear spiked covariance model.
result Provides precise quantitative characterizations of signal eigenvalues and eigenvectors in neural networks.

Study the long-time behavior of Hermitian-Yang-Mills flow on non-Kähler manifolds.

problem Understanding the long-time behavior of Hermitian-Yang-Mills flow on non-Kähler manifolds.
method Monotonicity of eigenvalues of mean curvature, convergence to geometric invariants.
result Eigenvalues of mean curvature converge to geometric invariants in the Gauduchon case.

The paper finds large Steklov eigenvalues on manifolds using homogenization.

problem Finding large Steklov eigenvalues on manifolds.
method Using homogenization theory, the paper constructs manifolds with large Steklov eigenvalues.
result The paper proves that Kokarev's upper bound for the first nonzero normalised Steklov eigenvalue on orientable surfaces of genus 0 is saturated.

We discuss the behavior of (λ1.p(M))1/p(λ_{1. p}(M))^{1/p} with respect to the Gromov-Hausdorff topology and the variable pp, where λ1,p(M)λ_{1, p}(M) is the first positive eigenvalue of the pp-Laplacian on a compact Riemannian manifold MM. Applications include new estimates for the first eigenvalues of the pp-Laplacian on Rieman…

2013-10-01abs ↗pdf ↗

In this paper, we extend the Witten-Helffer-Sjöstrand theory from Morse functions to generalized Morse functions. In this case, the spectrum of the Witten deformed Laplacian Δ(t)Δ(t), for large t, can be seperated into the small eigenvalues (which tend to 0 as tt\rightarrow\infty), large and very large eigenvalues (both…

1995-03-14abs ↗pdf ↗

Let (M,J)(M,J) be a compact complex manifold of complex dimension mm and let gsg_s be a one-parameter family of Hermitian forms on MM that are smooth and positive definite for each fixed s(0,1]s\in (0,1] and that somehow degenerates to a Hermitian pseudometric hh for ss tending to 00. In this paper under rather general a…

2019-12-13abs ↗pdf ↗