English
Related papers

Related papers: On Local Heat Kernel

200 papers

We construct the fundamental solution (the heat kernel) $p^{\kappa}$ to the equation $\partial_t=\mathcal{L}^{\kappa}$, where under certain assumptions the operator $\mathcal{L}^{\kappa}$ takes one of the following forms, \begin{align*}…

Analysis of PDEs · Mathematics 2018-04-05 Tomasz Grzywny , Karol Szczypkowski

The regularized trace of the heat kernel of a one-dimensional Schr\"odinger operator with a singular two-particle contact interaction being of Lieb-Liniger type is considered. We derive a complete small-time asymptotic expansion in…

Mathematical Physics · Physics 2018-11-14 Sebastian Egger

The proper time method plays an important role in modern mathematics and physics. It includes many approaches, each of which has its pros and cons. This work is devoted to the description of one model case, which reflects the subtleties of…

High Energy Physics - Theory · Physics 2024-10-29 A. V. Ivanov , N. V. Kharuk

In this letter we present the calculation of the $a_{5}$ heat kernel coefficient of the heat operator trace for a partial differential operator of Laplace type on a compact Riemannian manifold with Dirichlet and Robin boundary conditions.

High Energy Physics - Theory · Physics 2010-04-06 Klaus Kirsten

Among those transversally elliptic operators initiated by Atiyah and Singer, Kohn's $\Box_b$ operator on CR manifolds with $S^1$ action is a natural one of geometric significance for complex analysts. Our first main result establishes an…

Differential Geometry · Mathematics 2017-07-21 Jih-Hsin Cheng , Chin-Yu Hsiao , I-Hsun Tsai

We develop a new heat kernel method that is suited for a systematic study of the renormalization group flow in Horava gravity (and in Lifshitz field theories in general). This method maintains covariance at all stages of the calculation,…

High Energy Physics - Theory · Physics 2021-04-26 Kevin T. Grosvenor , Charles Melby-Thompson , Ziqi Yan

We study strong ratio limit properties of the quotients of the heat kernels of subcritical and critical operators which are defined on a noncompact Riemannian manifold.

Analysis of PDEs · Mathematics 2010-05-18 M. Fraas , D. Krejcirik , Y. Pinchover

We tackle the problem of optimizing over all possible positive definite radial kernels on Riemannian manifolds for classification. Kernel methods on Riemannian manifolds have recently become increasingly popular in computer vision. However,…

Computer Vision and Pattern Recognition · Computer Science 2014-12-16 Sadeep Jayasumana , Richard Hartley , Mathieu Salzmann , Hongdong Li , Mehrtash Harandi

We study the spectral geometry of an operator of Laplace type on a manifold with a singular surface. We calculate several first coefficients of the heat kernel expansion. These coefficients are responsible for divergences and conformal…

High Energy Physics - Theory · Physics 2009-11-07 P. B. Gilkey , K. Kirsten , D. V. Vassilevich

In this paper we prove a short time asymptotic expansion of a hypoelliptic heat kernel on an Euclidean space and a compact manifold. We study the "cut locus" case, namely, the case where energy-minimizing paths which join the two points…

Probability · Mathematics 2017-04-11 Yuzuru Inahama , Setsuo Taniguchi

A short informal overview about recent progress in the calculation of the effective action in quantum gravity is given. I describe briefly the standard heat kernel approach to the calculation of the effective action and discuss the…

High Energy Physics - Theory · Physics 2007-05-23 Ivan G. Avramidi

This paper presents a detailed analysis of the heat kernel on an $(\mathbb{N}\times\mathbb{N})$-parameter family of compact metric measure spaces, which do not satisfy the volume doubling property. In particular, uniform bounds of the heat…

Probability · Mathematics 2020-03-06 Patricia Alonso Ruiz

The calculation of heat-kernel coefficients with the classical DeWitt algorithm has been discussed. We present the explicit form of the coefficients up to $h_5$ in the general case and up to $h_7^{min}$ for the minimal parts. The results…

High Energy Physics - Phenomenology · Physics 2011-04-15 A. A. Bel'kov , A. V. Lanyov , A. Schaale

Let X be a hermitian manifold and let L^k be a high power of a hermitian line bundle over X. Local versions of Demailly's holomorphic Morse inequalities are presented - after integration they yield the usual inequalities. The local weak…

Complex Variables · Mathematics 2007-05-23 Robert Berman

Estimates are obtained for the expected volume of intersection of independent Wiener sausages in Euclidean space in the small time limit. The asymptotic behaviour of the weighted diagonal heat kernel norm on compact Riemannian manifolds…

Analysis of PDEs · Mathematics 2007-05-23 M. van den Berg , P. Gilkey

The heat coefficients related to the Laplace-Beltrami operator defined on the hyperbolic compact manifold $H^3/\Ga$ are evaluated in the case in which the discrete group $\Ga$ contains elliptic and hyperbolic elements. It is shown that…

High Energy Physics - Theory · Physics 2010-11-01 Guido Cognola , Luciano Vanzo

We investigate the heat kernel with Robin boundary condition and prove comparison theorems for heat kernel on geodesic balls and on minimal submanifolds. We also prove an eigenvalue comparison theorem for the first Robin eigenvalues on…

Differential Geometry · Mathematics 2022-08-30 Xiaolong Li , Kui Wang

We prove genuinely sharp two-sided global estimates for heat kernels on all compact rank-one symmetric spaces. This generalizes the authors' recent result obtained for a Euclidean sphere of arbitrary dimension. Furthermore, similar heat…

Classical Analysis and ODEs · Mathematics 2022-09-09 Adam Nowak , Peter Sjögren , Tomasz Z. Szarek

Let M be a compact Riemannian manifold without boundary and let H be a self-adjoint generalized Laplace operator acting on sections in a bundle over M. We give a path integral formula for the solution to the corresponding heat equation.…

Analysis of PDEs · Mathematics 2012-07-18 Christian Baer , Frank Pfaeffle

Many contemporary statistical learning methods assume a Euclidean feature space. This paper presents a method for defining similarity based on hyperspherical geometry and shows that it often improves the performance of support vector…

Machine Learning · Statistics 2018-08-07 Chenchao Zhao , Jun S. Song
‹ Prev 1 8 9 10 Next ›