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We study coercive inequalities on finite dimensional metric spaces with probability measures which do not have volume doubling property. This class of inequalities includes Poincar\'e and Log-Sobolev inequality. Our main result is proof of…

Functional Analysis · Mathematics 2009-05-13 W. Hebisch , B. Zegarlinski

An asymptotic expansion of the trace of the heat kernel on a cone where the heat coefficients have a delta function behavior at the apex is obtained. It is used to derive the renormalized effective action and total energy of a…

High Energy Physics - Theory · Physics 2010-04-06 D. V. Fursaev

It is shown that the heat kernel operator for the Laplace operator on any covariantly constant curved background, i.e. in symmetric spaces, may be presented in form of an averaging over the Lie group of isometries with some nontrivial…

High Energy Physics - Theory · Physics 2009-10-28 Ivan G. Avramidi

Recently proposed nonlocal and nonperturbative late time behavior of the heat kernel is generalized to curved spacetimes. Heat kernel trace asymptotics is dominated by two terms one of which represents a trivial covariantization of the…

High Energy Physics - Theory · Physics 2009-11-10 A. O. Barvinsky , Yu. V. Gusev , V. F. Mukhanov , D. V. Nesterov

We consider a class of constant-coefficient partial differential operators on a finite-dimensional real vector space which exhibit a natural dilation invariance. Typically, these operators are anisotropic, allowing for different degrees in…

Analysis of PDEs · Mathematics 2020-01-22 Evan Randles , Laurent Saloff-Coste

We prove sharp two-sided bounds of the fundamental solution for an integro-differential operator of order $\alpha \in (0,2)$ that generates a $d$-dimensional Markov process. The corresponding Dirichlet form is comparable to that of $d$…

Analysis of PDEs · Mathematics 2021-09-21 Moritz Kassmann , Kyung-Youn Kim , Takashi Kumagai

In many applications of machine learning, a large number of variables are considered. Motivated by machine learning of interacting particle systems, we consider the situation when the number of input variables goes to infinity. First, we…

Machine Learning · Computer Science 2023-10-30 Christian Fiedler , Michael Herty , Sebastian Trimpe

In this note, we derive a new logarithmic Sobolev inequality for the heat kernel on the Heisenberg group. The proof is inspired from the historical method of Leonard Gross with the Central Limit Theorem for a random walk. Here the non…

Differential Geometry · Mathematics 2020-09-10 Michel Bonnefont , Djalil Chafaï , Ronan Herry

We study heat kernel estimates for symmetric pure jump processes on general metric measure spaces. Building on recent progress in the local setting due to S.~Eriksson-Bique, we develop a non-local version of the Whitney blending technique…

Probability · Mathematics 2026-02-09 Mathav Murugan

Let $G$ denote an infinite-dimensional Heisenberg-like group, which is a class of infinite-dimensional step 2 stratified Lie groups. We consider holomorphic functions on $G$ that are square integrable with respect to a heat kernel measure…

Probability · Mathematics 2011-11-16 Maria Gordina , Tai Melcher

We review recent results about heat kernel estimates based on Kato conditions on the negative part of the Ricci curvature.

Differential Geometry · Mathematics 2018-04-12 Christian Rose , Peter Stollmann

We consider continuous time simple random walks with arbitrary speed measure $\theta$ on infinite weighted graphs. Write $p_t(x,y)$ for the heat kernel of this process. Given on-diagonal upper bounds for the heat kernel at two points…

Probability · Mathematics 2012-02-01 Matthew Folz

Using the techniques developed in \cite{SunSun}, we give estimations of the Bergman kernel of the punctured disk with the standard complete Poincar\'{e} metric. As an application, we improve the result of \cite{AMM} on the Bergman kernels…

Complex Variables · Mathematics 2019-04-02 Jingzhou Sun

The purpose of this paper is to establish a new continuous-time on-diagonal lower estimate of heat kernel for large time on graphs. To achieve the goal, we first give an upper bound of heat kernel in natural graph metric, and then use this…

Analysis of PDEs · Mathematics 2016-12-30 Yong Lin , Yiting Wu

We propose the multiple reflection expansion as a tool for the calculation of heat kernel coefficients. As an example, we give the coefficients for a sphere as a finite sum over reflections, obtaining as a byproduct a relation between the…

High Energy Physics - Theory · Physics 2008-11-26 M. Bordag , D. Vassilevich , H. Falomir , E. M. Santangelo

The heat kernels of Laplacians for spin 1/2, 1, 3/2 and 2 fields, and the asymptotic expansion of their traces are studied on manifolds with conical singularities. The exact mode-by-mode analysis is carried out for 2-dimensional domains and…

High Energy Physics - Theory · Physics 2009-10-30 Dmitri V. Fursaev , Gennaro Miele

Sub-Gaussian heat kernel estimates are typical of fractal graphs. We show that sub-Gaussian estimates on graphs follow from a Poincar\'e inequality, capacity upper bound, and a slow volume growth condition. An important feature of this work…

Probability · Mathematics 2018-10-24 Mathav Murugan

In the frame work of SU(2) chiral sigma model, the nuclear matter properties at zero and finite temperature have been investigated. We have analyzed the nuclear matter equation of state by varying different parameters, which agrees well…

Nuclear Theory · Physics 2009-11-10 P. K. Sahu , T. K. Jha , K. C. Panda , S. K. Patra

This paper provides sharp Dirichlet heat kernel estimates in inner uniform domains, including bounded inner uniform domains, in the context of certain (possibly non-symmetric) bilinear forms resembling Dirichlet forms. For instance, the…

Functional Analysis · Mathematics 2016-05-17 Janna Lierl , Laurent Saloff-Coste

For a (non-symmetric) strong Markov process $X$, consider the Feynman--Kac semigroup \[T_t^Af(x):=\mathbb {E}^x\bigl[e^{A_t}f(X_t)\bigr],\quad x\in {\mathbb {R}^n}, t>0,\] where $A$ is a continuous additive functional of $X$ associated with…

Probability · Mathematics 2015-08-13 Victoria Knopova
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