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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.

168,742 papers · 148 categories

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48 results for small eigenvalues

Study small eigenvalues of Toeplitz operators and their relation to Mabuchi geodesics.

problem Analyzing small eigenvalues of Toeplitz operators on complex projective manifolds.
method Proving the existence of exponentially decaying eigenvalues for Toeplitz operators with specific symbols, and establishing a connection to Mabuchi geodesics.
result Logarithmic distribution of small eigenvalues correlates with Mabuchi geodesics between polarizations.

Constructs hyperbolic surfaces with small eigenvalues.

problem Finding hyperbolic surfaces with eigenvalues below a given threshold.
method Geometric proof using techniques from B.Randol's 1974 paper.
result Constructs closed hyperbolic covering surfaces with eigenvalues less than any small positive number ε.

Study compares eigenvalues on spherically symmetric manifolds to Euclidean balls.

problem Comparing eigenvalues on spherically symmetric manifolds to Euclidean balls.
method Examines Dirichlet Laplace eigenvalues on balls of spherically symmetric manifolds and Euclidean space.
result Eigenvalues on spherically symmetric manifolds are smaller for small radii, but larger for hyperbolic spaces.

Extending our previous work on eigenvalues of closed surfaces and work of Otal and Rosas, we show that a complete Riemannian surface S of finite type and negative Euler characteristic has at most negative of the Euler characteristics many small eigenvalues.

2015-06-22abs ↗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 small eigenvalues of Riemann surfaces degenerating with Kähler metrics.

problem Determining small eigenvalues of the Laplacian on degenerating Riemann surfaces.
method Combining heat kernel estimates and Quillen metrics to compute asymptotic behavior of eigenvalues.
result Explicit calculation of small eigenvalues as a function of the parameter.

We discuss our recent work on small eigenvalues of surfaces. As an introduction, we present and extend some of the by now classical work of Buser and Randol and explain novel ideas from articles of Sévennec, Otal, and Otal-Rosas which are of importance in our line of thought.

2017-09-29abs ↗pdf ↗

Consider the class of n-dimensional Riemannian spin manifolds with bounded sectional curvatures and diameter, and almost non-negative scalar curvature. Let r=1 if n=2,3 and r=2^{[n/2]-1}+1 if n\geq 4. We show that if the square of the Dirac operator on such a manifold has rr small eigenvalues, then the manifold is dif…

2004-03-08abs ↗pdf ↗

We introduce a differential topological invariant for compact differentiable manifolds by counting the small eigenvalues of the Conformal Laplace operator. This invariant vanishes if and only if the manifold has a metric of positive scalar curvature. We show that the invariant does not increase under surgery of codimen…

2002-04-16abs ↗pdf ↗

We first proved a compactness theorem of the Kähler metrics, which confirms a prediction of Chen. Then we prove several eigenvalue estimates along the Calabi flow. Combining the compactness theorem and these eigenvalue estimates, we generalize the method developed by Chen-Li-Wang to prove the small energy theorems of t…

2013-09-17abs ↗pdf ↗

This article provides a new toolbox to derive sparse recovery guarantees from small deviations on extreme singular values or extreme eigenvalues obtained in Random Matrix Theory. This work is based on Restricted Isometry Constants (RICs) which are a pivotal notion in Compressed Sensing and High-Dimensional Statistics a…

2016-04-05abs ↗pdf ↗

Random feature model shows slow self-correction of generalization gap.

problem Slow deterioration of generalization error in random feature model.
method Examined the dynamic behavior of gradient descent in the model's resonance regime.
result Gradient descent exhibits a self-correction mechanism, reducing generalization gap over time.

We study the eigenvalue problem for the Riemannian Pucci operator on geodesic balls. We establish upper and lower bounds for the principal Pucci eigenvalues depending on the curvature, extending Cheng's eigenvalue comparison theorem for the Laplace-Beltrami operator. For manifolds with bounded sectional curvature, we p…

2016-02-01abs ↗pdf ↗

We show that for every g2g\geq 2 there exists a number c(g)>0c(g)>0 such that the smallest positive eigenvalue of a random closed 3-manifold MM of Heegaard genus gg is at most c(g)/vol(M)2c(g)/{\rm vol}(M)^2.

2019-03-19abs ↗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 ↗

The systole size affects the smallest eigenvalue of hyperbolic surfaces.

problem Determining the smallest eigenvalue of hyperbolic surfaces based on their systole size.
method Analyzing the relationship between systole size and the smallest eigenvalue of Laplacian on hyperbolic surfaces.
result If the systole of a hyperbolic surface is greater than 3.46, then the smallest negative eigenvalue is greater than 1/4.

In this article we study the asymptotic behavior of small eigenvalues of Riemann surfaces for large genus. We show that for any positive integer kk, as the genus gg goes to infinity, the smallest kk-th eigenvalue of Riemann surfaces in any thick part of moduli space of Riemann surfaces of genus gg is uniformly comp…

2018-09-20abs ↗pdf ↗

We extend the results given by Colbois, Dryden and El Soufi on the relationships between the eigenvalues of the Laplacian and an extrinsic invariant called intersection index, in two directions. First, we replace this intersection index by invariants of the same nature which are stable under small perturbations. Second…

2012-10-29abs ↗pdf ↗

The paper studies stability of domains for the first eigenvalue on Riemannian manifolds.

problem Stability of extremal domains for the first eigenvalue of the Laplacian operator.
method Second variation of the first Dirichlet eigenvalue, stability criterion, classification of stable domains.
result Classification of stable extremal domains in spheres and topological bounds for general compact surfaces.

We discuss the decomposition of the zeta-determinant of the square of the Dirac operator into contributions coming from the different parts of the manifold. The easy case was worked in the previous paper of authors. Due to the assumptions made on the operators in the previous paper, we were able to avoid the presence o…

2001-11-05abs ↗pdf ↗

Machine learning models solve inverse eigenvalue problems for symmetric potentials and refractive indices.

problem Solving inverse eigenvalue problems for symmetric potentials and refractive indices.
method Supervised regression models (k-Nearest Neighbours, Random Forests, Multi-Layer Perceptron) trained on eigenvalue datasets.
result Machine learning methods can numerically solve inverse eigenvalue problems under appropriate parameter tuning.

ASGD outperforms SGD in overparameterized linear regression, especially in subspaces of small eigenvalues.

problem Generalization of ASGD for overparameterized linear regression.
method Established instance-dependent excess risk bound for ASGD in each eigen-subspace of the data covariance matrix.
result ASGD outperforms SGD in subspaces of small eigenvalues, exhibiting faster decay of bias error.

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.