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This article develops direct and inverse estimates for certain finite dimensional spaces arising in kernel approximation. Both the direct and inverse estimates are based on approximation spaces spanned by local Lagrange functions which are…

Numerical Analysis · Mathematics 2017-09-08 Thomas Hangelbroek , Francis J. Narcowich , Christian Rieger , Joseph D. Ward

In this paper, we derive global sharp heat kernel estimates for symmetric alpha-stable processes (or equivalently, for the fractional Laplacian with zero exterior condition) in two classes of unbounded C^{1,1} open sets in R^d:…

Probability · Mathematics 2009-06-09 Zhen-Qing Chen , Joshua Tokle

We study inequalities related to the heat kernel for the hypoelliptic sublaplacian on an H-type Lie group. Specifically, we obtain precise pointwise upper and lower bounds on the heat kernel function itself. We then apply these bounds to…

Analysis of PDEs · Mathematics 2016-12-05 Nathaniel Eldredge

Given an RCD$(K,N)$ space $({X},\mathsf{d},\mathfrak{m})$, one can use its heat kernel $\rho$ to map it into the $L^2$ space by a locally Lipschitz map $\Phi_t(x):=\rho(x,\cdot,t)$. The space $(X,\mathsf{d},\mathfrak{m})$ is said to be an…

Differential Geometry · Mathematics 2024-12-31 Zhangkai Huang

This paper is concerned with the location of nodal sets of eigenfunctions of the Dirichlet Laplacian in thin tubular neighbourhoods of hypersurfaces of the Euclidean space of arbitrary dimension. In the limit when the radius of the…

Analysis of PDEs · Mathematics 2015-04-27 David Krejcirik , Matej Tusek

We consider kernel methods on general geodesic metric spaces and provide both negative and positive results. First we show that the common Gaussian kernel can only be generalized to a positive definite kernel on a geodesic metric space if…

Machine Learning · Computer Science 2014-11-18 Aasa Feragen , Francois Lauze , Søren Hauberg

We present an efficient algorithm for solving local linear systems with a boundary condition using the Green's function of a connected induced subgraph related to the system. We introduce the method of using the Dirichlet heat kernel…

Data Structures and Algorithms · Computer Science 2015-08-03 Fan Chung , Olivia Simpson

We develop a Bochner theory and Bakry-Emery calculus for horizontal Laplacians associated with general Riemannian foliations. No bundle-like assumption on the metric, nor any total geodesicity or minimality condition on the leaves is…

Differential Geometry · Mathematics 2026-01-06 Fabrice Baudoin , Guang Yang

Let $(M,g)$ be a compact, smooth Riemannian manifold and $\{u_h\}$ be a sequence of $L^2$-normalized Laplace eigenfunctions that has a localized defect measure $\mu$ in the sense that $ M \setminus \text{supp}(\pi_* \mu) \neq \emptyset$…

Analysis of PDEs · Mathematics 2023-03-01 Yaiza Canzani , John A. Toth

We look at the $L^p$ bounds on eigenfunctions for polygonal domains (or more generally Euclidean surfaces with conic singularities) by analysis of the wave operator on the flat Euclidean cone $C(\mathbb{S}^1_\rho) := \mathbb{R}_+ \times…

Analysis of PDEs · Mathematics 2016-03-21 Matthew D. Blair , G. Austin Ford , Jeremy L. Marzuola

Under the assumption that data lie on a compact (unknown) manifold without boundary, we derive finite sample bounds for kernel smoothing and its (first and second) derivatives, and we establish asymptotic normality through Berry-Esseen type…

Statistics Theory · Mathematics 2026-01-26 Eunseong Bae , Wolfgang Polonik

For a one-parameter degeneration of compact Riemann surfaces endowed with the K\"ahler metric induced from the K\"ahler metric on the total space of the family, we determine the exact magnitude of the small eigenvalues of the Laplacian as a…

Differential Geometry · Mathematics 2025-12-23 Xianzhe Dai , Ken-Ichi Yoshikawa

We derive localized and global noncompact versions of Hamilton's gradient estimate for positive solutions to the heat equation on Riemannian manifolds with Ricci curvature bounded below. Our estimates are essentially optimal and…

Analysis of PDEs · Mathematics 2025-07-17 Loth Damagui Chabi , Philippe Souplet

We consider the problem of allocating a finite number of heat sources in the n-dimensional sphere. When only one such source -assumed to be of infinite temperature- is placed and assuming a constant cooling rate in the sphere, we prove that…

Metric Geometry · Mathematics 2016-09-29 Carlos Beltrán , Nuria Corral , Juan G. Criado del Rey

We study entire solutions of the biharmonic heat equation on complete Riemannian manifolds without boundary. We provide exponential decay estimates for the biharmonic heat kernel under assumptions on the lower bound of Ricci curvature and…

Differential Geometry · Mathematics 2022-03-29 Fei He

We consider two different data sets of syntactic parameters and we discuss how to detect relations between parameters through a heat kernel method developed by Belkin-Niyogi, which produces low dimensional representations of the data, based…

Computation and Language · Computer Science 2018-03-28 Andrew Ortegaray , Robert C. Berwick , Matilde Marcolli

In the first part of this paper, we get new Li-Yau type gradient estimates for positive solutions of heat equation on Riemmannian manifolds with $Ricci(M)\ge -k$, $k\in \mathbb R$. As applications, several parabolic Harnack inequalities are…

Differential Geometry · Mathematics 2009-01-27 Junfang Li , Xiangjin Xu

Earlier in the study of the combinatorial properties of the heat kernel of Laplace operator with covariant derivative diagram technique and matrix formalism were constructed. In particular, this formalism allows you to control the…

Mathematical Physics · Physics 2018-08-27 Aleksandr Ivanov

The boundary-value problem for Laplace-type operators acting on smooth sections of a vector bundle over a compact Riemannian manifold with generalized local boundary conditions including both normal and tangential derivatives is studied.…

High Energy Physics - Theory · Physics 2009-10-30 Ivan G. Avramidi , Giampiero Esposito

In this paper, we introduce heat kernel coupling (HKC) as a method of constructing multimodal spectral geometry on weighted graphs of different size without vertex-wise bijective correspondence. We show that Laplacian averaging can be…

Computer Vision and Pattern Recognition · Computer Science 2013-12-12 Michael M. Bronstein , Klaus Glashoff