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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.

168,657 papers · 148 categories

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48 results for eigenvalue multiplicity

Paper defines multiplicities for quaternion eigenvalues without complex matrix concepts.

problem Defining multiplicities for quaternion eigenvalues without traditional matrix concepts.
method Introduces two definitions for algebraic and geometric multiplicities equivalent to classical definitions.
result Definitions are equivalent to classical ones and prove all properties easily.

The paper bounds eigenvalue multiplicities for hyperbolic surfaces using short geodesics.

problem Bounding the multiplicity of Laplacian eigenvalues for hyperbolic surfaces.
method Using the number of short closed geodesics and surface genus.
result Upper bounds on eigenvalue multiplicities, showing sublinear behavior under certain conditions.

Klein quartic maximizes the first positive Laplacian eigenvalue's multiplicity to 8.

problem Maximizing the first positive eigenvalue's multiplicity of the Laplacian.
method Analyzing hyperbolic surfaces of genus 3 and 2, proving the Klein quartic's maximality.
result Klein quartic maximizes the first positive Laplacian eigenvalue's multiplicity to 8.

We prove two explicit bounds for the multiplicities of Steklov eigenvalues σkσ_k on compact surfaces with boundary. One of the bounds depends only on the genus of a surface and the index kk of an eigenvalue, while the other depends as well on the number of boundary components. We also show that on any given smooth Rie…

2012-09-21abs ↗pdf ↗

Three counterexamples show higher eigenvalue multiplicities than conjectured.

problem Determining the maximum eigenvalue multiplicity for closed hyperbolic surfaces.
method Applying the twisted Selberg trace formula to induced representations of triangle groups.
result Found counterexamples with higher eigenvalue multiplicities than previously conjectured.

The paper proves that most metrics satisfy a strong version of Arnold's conjecture for Laplace eigenvalues.

problem Understanding metrics that satisfy a strong version of Arnold's conjecture for Laplace eigenvalues.
method Using geometric characterizations and perturbation theory, the paper proves the conjecture for most metrics.
result The Strong Arnold Hypothesis is satisfied for all metrics except for a set of infinite codimension.

On any compact manifold of dimension n3n\geq3 with boundary, we prescibe any finite part of the Steklov spectrum whithin a given conformal class. In particular, we prescribe the multiplicity of the first eigenvalues. On a compact surface with boundary, we show that the multiplicity of the kk-th eigenvalue is bounded i…

2012-09-20abs ↗pdf ↗

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.

The first eigenvalue of the Laplacian on a unique Hurwitz surface has a sevenfold multiplicity and specific numerical values.

problem Identifying the spectrum of the Laplacian on a specific Hurwitz surface.
method Analytical proof for the multiplicity and numerical identification of the first eigenvalue; numerical identification of the eigenspace representation; determination of Dirichlet domain.
result The first eigenvalue of the Laplacian on the Fricke-Macbeath surface has a sevenfold multiplicity and is contained in the interval [1.23, 1.26].

We study the spectral properties of curl, a linear differential operator of first order acting on differential forms of appropriate degree on an odd-dimensional closed oriented Riemannian manifold. In three dimensions its eigenvalues are the electromagnetic oscillation frequencies in vacuum without external sources. In…

2017-02-07abs ↗pdf ↗

Let M be a closed spin manifold of dimension at least three with a fixed topological spin structure. For any Riemannian metric, we can construct the associated Dirac operator. The spectrum of this Dirac operator depends on the metric of course. In 2005, Dahl conjectured that M can be given a metric, for which a finite …

2015-01-16abs ↗pdf ↗

On any compact manifold of dimension greater than 4, we prescribe the volume and any finite part of the spectrum of the Witten Laplacian acting on pp-form for 0<p<n0<p<n. In particular, we prescribe the multiplicity of the first eigenvalues. On 3-dimensional manifolds, we give examples of multiple first eigenvalue for 1-…

2010-03-28abs ↗pdf ↗

In this paper, we study the spectrums of faithful dimension pairs on a closed Finsler manifold and obtain a Gromov type and a Buser type lower bounds for eigenvalues. Furthermore, for the Lusternik-Schnirelmann spectrum, we not only obtain a better lower bound, but also estimate the multiplicity of each eigenvalue.

2018-06-14abs ↗pdf ↗

Two Riemannian manifolds are called eigenvalue equivalent when their sets of eigenvalues of the Laplace-Beltrami operator are equal (ignoring multiplicities). They are (primitive) length equivalent when the sets of lengths of their (primitive) closed geodesics are equal. We give a general construction of eigenvalue equ…

2006-06-14abs ↗pdf ↗

The aim of this paper is to classify compact, simply connected Kähler manifolds which admit J-invariant Killing tensor with two eigenvalues of multiplicity 2 and n-2 and with constant eigenvalue corresponding to 2-dimensional eigendistribution.

2017-12-16abs ↗pdf ↗

In this note we show that every compact spin manifold of dimension 3\geq 3 can be given a Riemannian metric for which a finite part of the spectrum of the Dirac operator consists of arbitrarily prescribed eigenvalues with multiplicity 1.

2003-11-11abs ↗pdf ↗

Researchers create surfaces with exceptionally high Steklov eigenvalues.

problem Creating surfaces with first non-zero Steklov eigenvalue of large multiplicity.
method Constructing surfaces with specific isometry groups and gluing them based on Cayley graph structures, then analyzing the eigenspace properties.
result Surfaces with arbitrarily large multiplicity for their first non-zero Steklov eigenvalue are constructed.

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.

The paper studies eigenvalues of Xin-Laplacian on Riemannian manifolds.

problem Eigenvalue problems related to Xin-Laplacian on Riemannian manifolds.
method Establishing general formulas and applying Chen-Cheng type results.
result Sharp estimates for the upper bound of the second nonzero eigenvalue of the Laplace-Beltrami operator.

Let ΩRd,d2Ω\subset \mathbb R^d\,, d\geq 2, be a bounded open set, and denote by λ_j(Ω),j1λ\_j(Ω), j\geq 1, the eigenvalues of the Dirichlet Laplacian arranged in nondecreasing order, with multiplicities. The weak form of Pleijel's theorem states that the number of eigenvalues λ_j(Ω)λ\_j(Ω), for which there exists an associated eigenf…

2015-12-22abs ↗pdf ↗

The paper studies eigenvalues and stability of hypersurfaces in spheres.

problem Finding eigenvalues and stability of hypersurfaces in spheres.
method Derives equations for mean curvature and uses numerical methods to compute eigenvalues.
result Numerical computation of eigenvalues and stability indices for specific hypersurfaces.

Study finds only first and second eigenvalues are Courant-sharp for flat Klein bottle and cylinders.

problem Determining Courant-sharp eigenvalues for compact flat surfaces.
method Analyzing flat Klein bottle and cylinders, proving only first and second eigenvalues are Courant-sharp.
result Only first and second eigenvalues are Courant-sharp for flat Klein bottle and cylinders.

Sigmoid autoencoders can implement associative memory with certain conditions.

problem Implementing associative memory in neural networks.
method Theoretical analysis of overparameterized sigmoid autoencoders using the NTK and iterative maps.
result Overparameterized sigmoid autoencoders can have attractors in the NTK limit, leading to associative memory.

Detailed proofs and extensions of eigenvalue multiplicity bounds for spheres and plane domains.

problem Bounding the multiplicity of eigenvalues for Riemannian surfaces.
method Detailed proofs, combinatorial analysis of nodal domains, and Euler's inequality.
result Upper bounds on eigenvalue multiplicities extended to Robin boundary conditions.

Study on linear independence of Poincaré series for anti-de Sitter 3-manifolds.

problem Linear independence of generalized Poincaré series for anti-de Sitter 3-manifolds.
method Analysis of eigenfunctions and Laplacian on anti-de Sitter 3-manifolds.
result Unbounded multiplicities of eigenvalues for L2L^2-eigenfunctions and stable L2L^2-eigenvalues.

Consider the massless Dirac operator on a 3-torus equipped with Euclidean metric and standard spin structure. It is known that the eigenvalues can be calculated explicitly: the spectrum is symmetric about zero and zero itself is a double eigenvalue. The aim of the paper is to develop a perturbation theory for the eigen…

2013-06-24abs ↗pdf ↗

In this article, we prove that on any compact spin manifold of dimension m congruent 0,6,7 mod 8, there exists a metric, for which the associated Dirac operator has at least one eigenvalue of multiplicity at least two. We prove this by catching the desired metric in a subspace of Riemannian metrics with a loop that is …

2015-04-04abs ↗pdf ↗

We analyze the eigenvalue distribution of a neural network's kernel under specific scaling.

problem Analyzing the eigenvalue distribution of the Neural Tangent Kernel (NTK) of a neural network.
method Asymptotic analysis of the NTK matrix under given scaling conditions.
result The eigenvalue distribution is described as a free multiplicative convolution of the Marchenko-Pastur distribution and a deterministic distribution.