Research
On-device research index

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

Trend · papers per month

10203040 · May 202619922001200920172026
48 results for Dirichlet Laplace

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.

Estimates eigenvalues of poly-Laplace operator on lattice subgraphs.

problem Estimating eigenvalues of poly-Laplace operator on subgraphs of lattice graphs.
method Introduced discrete poly-Laplace operator, derived upper and lower bounds for eigenvalues.
result Poly-Laplace eigenvalues are at least squares of lower-order poly-Laplace eigenvalues.

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 Dirichlet eigenvalues of the Laplace-Beltrami operator are larger on an annulus than on any other surface of revolution in R3\mathbb{R}^3 with the same boundary. This is established by defining a sequence of shrinking cylinders about the axis of symmetry and proving that flattening a surface outside of each cylinde…

2015-10-07abs ↗pdf ↗

The paper analyzes Laplace learning for Gaussian measure data in infinite dimensions, proving convergence.

problem Analyzing Laplace learning for infinite-dimensional Gaussian measure data.
method Minimizes Dirichlet energy on a graph constructed from the full dataset.
result Proves pointwise convergence of the graph Dirichlet energy for Gaussian measure data.

The paper connects eigenvalue problems for various operators and establishes inequalities and asymptotic formulas for heat traces.

problem Eigenvalue problems and heat trace asymptotics for different operators.
method Establishes connections and inequalities for eigenvalues and heat traces.
result Eigenvalue inequalities and three-term asymptotic formulas for heat traces of various operators.

Efficiently approximates uncertainty in classification models using Dirichlet distributions.

problem Inefficient computation of uncertainty estimates in Bayesian deep learning.
method Revised Laplace Bridge method to construct a Dirichlet approximation of softmax output distributions.
result The Dirichlet approximation leads to more efficient computation and better uncertainty estimates.

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.

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.

We create a flat end foliation by critical spheres solving a Laplace-Beltrami problem.

problem Foliation of an asymptotically flat end by critical hypersurfaces.
method Constructing hypersurfaces as critical points of a functional, solving an over-determined boundary value problem.
result Solutions to the Laplace-Beltrami operator over a foliation of critical spheres.

The paper extends graph-based semi-supervised learning to infinite-dimensional Wasserstein space.

problem Graph-based semi-supervised learning in high-dimensional data.
method Laplace Learning in the Wasserstein space, proving variational convergence and characterizing the Laplace-Beltrami operator.
result Consistent classification performance in high-dimensional settings.

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.

Ribbon: Scalable Approximation and Robust Uncertainty Quantification

problem Reliably quantifying predictive uncertainty for complex models
method Ribbon, a scalable approximation to Dirichlet-reweighted bootstrap uncertainty
result Asymptotically equivalent to a flat-prior Laplace approximation under correct likelihood specification, recovers robust sandwich covariance under misspecification

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 Dirichlet mechanism protects privacy while minimizing KL divergence.

problem Minimizing KL divergence while protecting sensitive data privacy.
method Using the exponential mechanism with the KL divergence loss function, resulting in the Dirichlet mechanism.
result Proved a probability tail bound on KL divergence and derived a lower bound for sample complexity.

Estimates eigenvalues and spectrum for graph substructures using isocapacitary constants.

problem Estimating eigenvalues and spectrum for graph substructures.
method Introducing Cheeger type constants via isocapacitary constants to estimate eigenvalues and spectrum.
result Estimates for first Dirichlet, Neumann, and Steklov eigenvalues, as well as the bottom of the spectrum of the Laplace operator and Dirichlet-to-Neumann operator.

Proposes a new method for robust uncertainty quantification in regression tasks.

problem Robust uncertainty estimation for deep neural networks in regression tasks.
method Generalized Auxiliary Uncertainty Estimator (AuxUE) scheme, considering both aleatoric and epistemic uncertainties.
result DIDO method provides robust uncertainty estimates in noisy inputs, scalable to image-level and pixel-wise tasks.

Study eigenvalues on quaternion-Kähler manifolds with geometric bounds.

problem Estimating eigenvalues on quaternion-Kähler manifolds.
method Lower bounds derived from modulus of continuity estimates for heat equation solutions and Laplace comparison theorem.
result Established bounds for first nonzero eigenvalues in terms of dimension, diameter, and scalar curvature.

New neural network approach solves Poisson equations efficiently.

problem Approximating solutions to Poisson equations with Dirichlet boundary conditions.
method Using shallow ReLUα-networks to solve Laplace operator equations.
result Neural networks can approximate solutions to the Laplace operator with Dirichlet boundary conditions efficiently.

We consider vector fields XX on a closed manifold MM with rest points of Morse type. For such vector fields we define the property of exponential growth. A cohomology class ξH1(M;R)ξ\in H^1(M;\mathbb R) which is Lyapunov for XX defines counting functions for isolated instantons and closed trajectories. If XX has exponent…

2004-05-03abs ↗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.

We consider an optimization problem for the first Dirichlet eigenvalue of the pp-Laplacian on a hypersurface in R2n\mathbb{R}^{2n}, with n2n \ge 2. If p2n1p \ge 2n-1, then among hypersurfaces in R2n\mathbb{R}^{2n} which are O(n)×O(n)O(n) \times O(n)-invariant and have one fixed boundary component, there is a surface which maximi…

2016-01-05abs ↗pdf ↗

Latent Dirichlet Allocation models discrete data as a mixture of discrete distributions, using Dirichlet beliefs over the mixture weights. We study a variation of this concept, in which the documents' mixture weight beliefs are replaced with squashed Gaussian distributions. This allows documents to be associated with e…

2011-10-21abs ↗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 ↗

A Dirichlet kk-partition of a domain URdU \subseteq \mathbb{R}^d is a collection of kk pairwise disjoint open subsets such that the sum of their first Laplace-Dirichlet eigenvalues is minimal. A discrete version of Dirichlet partitions has been posed on graphs with applications in data analysis. Both versions admit va…

2017-08-18abs ↗pdf ↗

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.

We show that the Dirichlet problem at infinity is unsolvable for the p-Laplace equation for any nonconstant continuous boundary data, for certain range of p>n, on an n-dimensional Cartan-Hadamard manifold constructed from a complete noncompact shrinking gradient Ricci soliton. Using the steady gradient Ricci soliton, w…

2014-11-06abs ↗pdf ↗

We give time-slicing path integral formulas for solutions to the heat equation corresponding to a self-adjoint Laplace type operator acting on sections of a vector bundle over a compact Riemannian manifold with boundary. More specifically, we show that such a solution can be approximated by integrals over finite-dimens…

2016-07-18abs ↗pdf ↗

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 ↗