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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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203406609812 · Jun 202019922001200920172026
48 results for Eigenvalue optimization

Proves existence of maximizers for eigenvalue optimization on manifolds.

problem Eigenvalue optimization on Riemannian manifolds of dimension m3m \geq 3.
method Use of topological tensor products to analyze eigenvalue functionals.
result Absolutely continuous maximizers are induced by pp-harmonic maps into spheres.

Optimal lower bounds for eigenvalues of Dirac-Witten operator on certain submanifolds.

problem Estimating eigenvalues of the Dirac-Witten operator on specific submanifolds.
method Optimal lower bounds derived using intrinsic and extrinsic expressions.
result Limiting-cases of eigenvalues studied and optimal bounds obtained.

This paper is a tutorial for eigenvalue and generalized eigenvalue problems. We first introduce eigenvalue problem, eigen-decomposition (spectral decomposition), and generalized eigenvalue problem. Then, we mention the optimization problems which yield to the eigenvalue and generalized eigenvalue problems. We also prov…

2019-03-25abs ↗pdf ↗

Optimal constants for isoperimetric inequalities involving Steklov eigenvalues on surfaces are determined.

problem Determining optimal constants for isoperimetric inequalities involving Steklov eigenvalues on surfaces.
method Analyzing Riemannian surfaces with boundary, considering both given topology and conformal class, and proving inequalities relating conformal invariants and eigenvalues.
result New examples of topological disks realizing optimal constants and inequalities relating conformal invariants of Steklov eigenvalues on surfaces and disks are provided.

Optimizes the first eigenvalues of Riemann surfaces for large genus.

problem Finding optimal lower bounds for first eigenvalues of Riemann surfaces.
method Analyzing shortest multi-closed curves to establish a new lower bound.
result The first eigenvalue of a Riemann surface is greater than a specific formula involving the genus and a constant.

Optimizes metrics for the first curl eigenvalue on 3-manifolds.

problem Finding optimal metrics for minimizing the first curl eigenvalue.
method Analyzes metrics that minimize the first curl eigenvalue among metrics of the same volume in the same conformal class.
result Proves that S3\mathbf{S}^3 and RP3\mathbf{R}P^3 are local minimizers for the first curl eigenvalue.

The paper optimizes Dirac eigenvalues on surfaces and connects them to harmonic maps into complex projective spaces.

problem Optimizing the kk-th positive Dirac eigenvalue on surfaces with fixed area and conformal class.
method Connecting the problem to the maximization of Laplacian eigenvalues and using critical metrics for Dirac eigenvalues and harmonic maps into complex projective spaces.
result The first nonzero Dirac eigenvalue on a torus is minimized by the flat metric.

In this paper, we obtain "universal" inequalities for eigenvalues of the weighted Hodge Laplacian on a compact self-shrinker of Euclidean space. These inequalities generalize the Yang-type and Levitin-Parnovski inequalities for eigenvalues of the Laplacian and Laplacian. From the recursion formula of Cheng and Yang \ci…

2013-12-01abs ↗pdf ↗

Numerical methods solve Steklov eigenvalue problems to generate free boundary minimal surfaces.

problem Generating free boundary minimal surfaces using Steklov eigenvalue problems.
method Maximizing Steklov eigenvalues over a class of metrics, using conformal uniformization and gradient-based optimization.
result Numerical solutions for free boundary minimal surfaces with various boundary components.

The paper finds the largest eigenvalue for a specific type of domain in hyperbolic space.

problem Finding the domain with the largest first eigenvalue for a given volume and boundary conditions.
method Shape optimization for the first eigenvalue of the p-Laplace operator in hyperbolic space.
result The concentric annular region maximizes the first eigenvalue among multiply-connected domains.

Study on Kähler manifolds shows rigidity of eigenvalues with positive Ricci bound.

problem Optimal rigidity results for eigenvalues on Kähler manifolds with positive Ricci lower bound.
method Established optimal rigidity results for eigenvalues on Kähler manifolds with positive Ricci lower bound.
result Complex projective space is the only Kähler manifold with the largest multiplicity of the first eigenvalue.

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.

In this paper, we show an optimal volume growth for self-shrinkers, and estimate a lower bound of the first eigenvalue of L\mathcal{L} operator on self-shrinkers, inspired by the first eigenvalue conjecture on minimal hypersurfaces in the unit sphere by Yau \cite{SY}. By the eigenvalue estimates, we can prove a compac…

2011-01-07abs ↗pdf ↗

Study eigenvalues and eigenfunctions of fourth-order operators in annuli, proving optimal estimates and non-radiality.

problem Eigenvalue and eigenfunction analysis of fourth-order operators in degenerating annuli.
method Optimal estimates and non-radiality results for eigenfunctions in annuli.
result Nigh optimal estimate for the first eigenvalue and non-radiality of eigenfunctions in degenerating annuli.

Paper proposes a new optimization framework for learning eigenfunctions of operators.

problem Computing eigenvalue decomposition of high-dimensional operators.
method Operator SVD with Neural Networks via Nested Low-Rank Approximation.
result Proposed method efficiently learns top-L singular values and functions in the correct order.

Study rigidity of minimal Legendrian submanifolds in spheres via eigenvalues.

problem Rigidity of minimal Legendrian submanifolds in unit Euclidean spheres.
method Using Lu's inequality and eigenvalues of fundamental matrices to establish pinching theorems.
result Optimal pinching theorem and rigidity theorem for submanifolds of all dimensions.

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.

The paper improves eigenvalue estimates for manifolds with Ricci curvature conditions.

problem Eigenvalue estimates for manifolds with Ricci curvature conditions.
method Proves eigenvalue estimates using a Kato condition on the negative part of Ricci curvature.
result Optimal eigenvalue estimates for Zhong-Yang type and Cheng-type bounds.

We discuss optimal lower bounds for eigenvalues of Laplacians on weighted graphs. These bounds are formulated in terms of the geometry and, more specifically, the inradius of subsets of the graph. In particular, we study the first non-zero eigenvalue in the finite volume case and the first eigenvalue of the Dirichlet L…

2019-03-06abs ↗pdf ↗

Existence of harmonic maps from higher-dimensional manifolds to spheres proven.

problem Proving existence of nonconstant harmonic maps from arbitrary manifolds to spheres.
method Using optimal regularity and eigenvalue optimization on manifolds.
result First general existence result for harmonic maps from higher-dimensional manifolds to a large class of positively curved targets.

On a closed weighted Riemannian manifold with nonnegative Bakry-Émery Ricci curvature, it is shown that the ratio of the kk-th to first eigenvalues of the weighted Laplacian is dominated by 641k2641k^2, using an argument via the Cheeger constant. While improving the previous exponential upper bound, the order of kk here…

2014-05-09abs ↗pdf ↗

The paper proves stability of eigenvalue inequalities on surfaces.

problem Stability of isoperimetric inequalities for Laplace eigenvalues on surfaces.
method Employing eigenvalues of measures and Sobolev space W1,2W^{-1,2}, the paper proves stability estimates for the first and second nonzero Laplace eigenvalues on surfaces.
result Metrics almost maximizing the normalized eigenvalue are W1,2W^{-1,2}-close to a maximal metric.

In this paper, we consider the eigenvalue problem for Hodge-Laplacian on a Riemannian manifold MM isometrically immersed into another Riemannian manifold Mˉ\bar M for arbitrary codimension. We first assume the pull back Weitzenböck operator (defined in Section 2) of Mˉ\bar M bounded from below, and obtain an extrinsic…

2017-04-03abs ↗pdf ↗

Constructs minimal surfaces in balls, maximizing eigenvalues.

problem Finding minimal surfaces in Euclidean balls with controlled topology.
method Maximizing the first non-trivial Steklov eigenvalue for isoperimetric problems.
result Constructs free boundary minimal immersions with controlled topology.

The paper analyzes the performance of delay-based reservoir computing using eigenvalue analysis.

problem Quantifying the performance of delay-based reservoir computing.
method Eigenvalue analysis of the dynamical system to predict reservoir computing performance.
result The performance of a reservoir computing system can be predicted by analyzing the small signal response and eigenvalue spectrum.

Study eigenvalues of Dirac operator on surfaces, proving existence and deriving inequalities.

problem Finding optimal bounds for Dirac eigenvalues on spin surfaces.
method Minimization problem within a fixed conformal class, focusing on surfaces.
result Derive isoperimetric inequalities for the Dirac operator on the sphere, complete conformal spectrum characterization.

Improved portfolio optimization using Kendall-like correlation coefficients.

problem Accurate estimation of eigenvectors in data-poor regimes for portfolio optimization.
method Developed generalized correlation coefficients based on Kendall's rank correlation.
result Markowitz portfolios with lower out-of-sample risk using these coefficients.