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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.

168,742 papers · 148 categories

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64128191255 · Jun 202019922001200920172026
48 results for Laplace Domain

Neural Laplace models diverse DEs in the Laplace domain for better dynamics.

problem Inadequate ODEs for long-range dependencies and discontinuities.
method Unified framework in Laplace domain, using stereographic map for smoothness.
result Superior performance in diverse DEs, including complex history dependency and abrupt changes.

Method finds domain of Laplace-Beltrami operator on 2D almost-Riemannian manifolds.

problem Determining the domain of the Laplace-Beltrami operator on 2D almost-Riemannian manifolds with tangency points.
method Using tools from Lie groupoids, natural domains of perturbations are found.
result Method allows treatment of geometries with tangency points.

New upper bound found for nodal sets of Laplace eigenfunctions.

problem Finding the maximum area of nodal sets for Laplace eigenfunctions.
method Analyzing the (n1)(n-1)-dimensional Hausdorff measure of zero sets of eigenfunctions.
result The sharp upper bound for the area of nodal sets is C(Ω)λC(Ω)\sqrtλ.

The study uses heat flow to analyze properties of Laplace eigenfunctions on manifolds and domains.

problem Analyzing mass concentration and nodal domains of Laplace eigenfunctions.
method Heat diffusion technique to study eigenfunctions and their nodal sets.
result Discovers new insights into the decay and behavior of Laplace eigenfunctions.

The paper extends a method for numerical conformal mappings to surfaces using Laplace-Beltrami equations.

problem Computing conformal mappings between Riemannian surfaces.
method Adapting the conjugate function method to Riemannian surfaces using hphp-adaptive finite element methods.
result Highly accurate numerical computations of conformal mappings on surfaces, including complex geometries.

Formula for Laplacian determinants on polygonal domains with slits.

problem Determining the ζζ-regularized determinant of the Laplacian on polygonal domains with slits.
method Patchwork method for heat trace asymptotics, comparison formula for smooth conformal metrics.
result Polyakov-Alvarez type formula for Laplacian determinants on polygonal domains with slits.

Transforms game optimization dynamics into frequency domain for precise hyperparameter analysis.

problem Analyzing convergence of hyperparameters in game optimization.
method Frequency-domain framework using High-Resolution Differential Equations (HRDEs) and Laplace transforms.
result Derives precise convergence criteria for the Lookahead algorithm.

Study critical points of Laplace eigenfunctions in polygons.

problem Characterize critical points of Laplace eigenfunctions in polygonal domains.
method Analyze components of the critical set with codimension 1.
result For simply connected polygons, if a second Neumann eigenfunction has infinitely many critical points, the polygon must be a rectangle.

Study small perturbations on low energy Laplace eigenfunctions.

problem Understanding small changes in low energy Laplace eigenfunctions.
method Investigates nodal geometry and topology, focusing on low frequency regimes and small perturbations.
result Highlight interesting aspects of spectral theory and nodal phenomena tied to ground state/low energy eigenfunctions.

Motivated by an example of Shih, we compute the fundamental gap of a family of convex domains in the hyperbolic plane H2\mathbb H^2, showing that for some of them λ2λ1<3π2D2λ_2 - λ_1 < \frac{3π^2}{D^2}, where DD is the diameter of the domain and λ1λ_1, λ2λ_2 are the first and second Dirichlet eigenvalues of the Laplace operat…

2019-11-28abs ↗pdf ↗

Study on pp-Laplace equation in convex cones, proving rigidity under specific conditions.

problem Overdetermined problem for pp-Laplace equation in convex cones.
method Established properties of capacitary potential, used PP-function, isoperimetric inequality, and Heintze-Karcher inequality.
result Rigidity result under orthogonal intersection assumption.

Previous research has shown that computation of convolution in the frequency domain provides a significant speedup versus traditional convolution network implementations. However, this performance increase comes at the expense of repeatedly computing the transform and its inverse in order to apply other network operati…

2016-11-16abs ↗pdf ↗

We provide monotonicity formulas for solutions to the p-Laplace equation defined in the exterior of a convex domain. A number of analytic and geometric consequences are derived, including the classical Minkowski inequality as well as new characterizations of rotationally symmetric solutions and domains. The proofs rely…

2018-03-28abs ↗pdf ↗

LLapDiff models irregular multivariate time series without step-by-step integration.

problem Trade-off between discrete and continuous methods for long-horizon forecasting.
method Generative framework that models target as a low-dimensional latent trajectory, guided by modal parameterization and Laplace domain poles.
result Improves long-horizon forecasting over baselines and supports missing-value imputation.

Study on Lawson surfaces' first Laplace eigenvalue using symmetry and algebraic methods.

problem Yau's conjecture on first eigenvalue of minimal hypersurfaces in the sphere.
method Symmetry-based approach exploiting discrete reflection symmetries and algebraic structure of reflection groups.
result Equality λ1(ξ_{m,k})=2 for Lawson surfaces with m and k even.

Improved HMoE models using Laplace gating function enhance expert specialization and performance.

problem Improving performance of hierarchical mixture of experts models.
method Used Laplace gating function instead of Softmax in hierarchical mixture of experts models.
result Laplace gating function accelerates expert convergence and enhances specialization.

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.

Laplace approximation improves deep learning efficiency without sacrificing performance.

problem Bayesian deep learning's practical implementation and efficiency.
method Review and implementation of Laplace approximation (LA) in PyTorch.
result Laplace approximation is competitive with popular alternatives in performance but significantly more efficient.

Let N be a complete Riemannian manifold of dimension n+1 whose Riemannian metric g is conformally equivalent to a metric with non-negative Ricci curvature. The normalized Steklov eigenvalues of a bounded domain in N are bounded above in terms of the isoperimetric ratio of the domain. Consequently, the normalized Steklo…

2011-03-15abs ↗pdf ↗

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.

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 ↗

Negative curvature restricts the gap between the first and second eigenvalues of convex domains.

problem The fundamental gap of convex domains is limited by negative curvature.
method Adapted from Bourni et. al. (2022) for Riemannian manifolds with negative sectional curvature.
result The product of the fundamental gap and the square of the diameter can be arbitrarily small in domains with negative curvature.

New equivalences found linking parabolicity, comparison principle, and capacity on Riemannian manifolds.

problem Understanding parabolicity and related concepts on Riemannian manifolds.
method Establishing new equivalences between parabolicity, comparison principle, and capacity.
result Equivalence between pp-parabolicity and the comparison principle for the pp-Laplace equation.

Given a Laplace eigenfunction on a surface, we study the distribution of its extrema on the nodal domains. It is classically known that the absolute value of the eigenfunction is asymptotically bounded by the 4-th root of the eigenvalue. It turns out that the number of nodal domains where the eigenfunction has an extre…

2006-04-23abs ↗pdf ↗

The paper develops quantitative estimates for holomorphic sections over bounded domains.

problem Establishing precise inequalities for holomorphic sections over bounded domains.
method Develops Sobolev-type inequalities and applies them to holomorphic sections of Hermitian vector bundles.
result Quantitative Carleman-type estimates for holomorphic sections are derived, improving on previous non-quantitative results.

The paper proves a bound on eigenvalues for surfaces embedded in 3D space.

problem Relating the spectrum of embedded surfaces to bounded domains.
method Analyzes the spectrum of a closed embedded surface and its relation to the Dirichlet spectrum of a bounded domain.
result Proves a positive constant KgK_g exists such that the eigenvalue ratio bound holds.

The study proves constant-curvature analogues of hot spots conjecture for triangles.

problem Proving the hot spots conjecture in constant curvature domains.
method Analyzing geodesic triangles of constant negative curvature and using Killing fields.
result First mixed Dirichlet-Neumann Laplace eigenfunctions have no non-vertex critical points in constant curvature triangles.

The paper bounds Cheeger ratios of eigenfunctions and their level sets.

problem Understanding geometric features of Riemannian manifolds through eigenfunctions.
method Constructive upper bounds on Cheeger constants using eigenvalues and eigenfunctions.
result Upper bounds on Cheeger ratios of eigenfunction level sets and their superlevel sets.

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.