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Related papers: Heat kernel estimates on book-like graphs

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We prove upper and lower bounds of the heat kernel for the operator $\Delta-\nabla (\frac{1}{|x|^{\alpha}})\cdot \nabla $ in $\mathbb{R}^{n}\setminus\{0} $ where $\alpha >0$. We obtain these bounds from an isoperimetric inequality for a…

Probability · Mathematics 2012-11-28 Alexander Grigor'yan , Shunxiang Ouyang , Michael Röckner

We consider Laplace operators on metric graphs, networks of one-dimensional line segments (bonds), with matching conditions at the vertices that make the operator self-adjoint. Such quantum graphs provide a simple model of quantum mechanics…

Mathematical Physics · Physics 2017-08-23 J. M. Harrison , K. Kirsten

In this paper, we study the heat kernel associated to the intrinsic sublaplacian on a quaternionic contact manifold considered as a subriemannian manifold. More precisely, we explicitly compute the first two coefficients $c_0$ and $c_1$…

Differential Geometry · Mathematics 2021-03-02 Abdellah Laaroussi

This paper is an exposition of several questions linking heat kernel measures on infinite dimensional Lie groups, limits associated with critical Sobolev exponents, and Feynmann-Kac measures for sigma models.

Functional Analysis · Mathematics 2007-11-06 Doug Pickrell

This article investigates the heat kernel of the two-dimensional uniform spanning tree. We improve previous work by demonstrating the occurrence of log-logarithmic fluctuations around the leading order polynomial behaviour for the…

Probability · Mathematics 2021-04-09 Martin T. Barlow , David A. Croydon , Takashi Kumagai

Heat diffusion has been widely used in brain imaging for surface fairing, mesh regularization and cortical data smoothing. Motivated by diffusion wavelets and convolutional neural networks on graphs, we present a new fast and accurate…

Computer Vision and Pattern Recognition · Computer Science 2020-01-20 Shih-Gu Huang , Ilwoo Lyu , Anqi Qiu , Moo K. Chung

In this paper we show that two-sided heat kernel estimates for a class of (not necessarily symmetric) diffusions with jumps are stable under non-local Feynman-Kac perturbations.

Probability · Mathematics 2017-02-16 Zhen-Qing Chen , Lidan Wang

Auscher, McIntosh and Tchamitchian studied the heat kernels of second order elliptic operators in divergence form with complex bounded measurable coefficients on $\mathbb{R}^n$. In particular, in the case when $n=2$ they obtained Gaussian…

Analysis of PDEs · Mathematics 2008-07-22 Seick Kim

Upper and lower bounds on the heat kernel on complete Riemannian manifolds were obtained in a series of pioneering works due to Cheng-Li-Yau, Cheeger-Yau and Li-Yau. However, these estimates do not give a complete picture of the heat kernel…

Analysis of PDEs · Mathematics 2017-05-29 Xi Chen , Andrew Hassell

For $d\geq 2$, we establish the existence and uniqueness of heat kernels for a large class of time-dependent second order diffusion operator with jumps, which is the sum of time-dependent of a second order elliptic differential operators…

Analysis of PDEs · Mathematics 2016-11-18 Zhen-Qing Chen , Eryan Hu , Longjie Xie , Xicheng Zhang

We study the heat content for Laplacians on compact, finite metric graphs with Dirichlet conditions imposed at the "boundary" (i.e., a given set of vertices). We prove a closed formula of combinatorial flavour, as it is expressed as a sum…

Spectral Theory · Mathematics 2025-02-14 Patrizio Bifulco , Delio Mugnolo

We consider compact metric graphs with an arbitrary self adjoint realisation of the differential Laplacian. After discussing spectral properties of Laplacians, we prove several versions of trace formulae, relating Laplace spectra to sums…

Mathematical Physics · Physics 2015-05-13 Jens Bolte , Sebastian Endres

In this paper, we study the transition densities of pure-jump symmetric Markov processes in $ {{\mathbb R}}^d$, whose jumping kernels are comparable to radially symmetric functions with mixed polynomial growths. Under some mild assumptions…

Probability · Mathematics 2018-04-20 Joohak Bae , Jaehoon Kang , Panki Kim , Jaehun Lee

We survey the recent development of the DeGiorgi-Nash-Moser-Aronson type theory for a class of symmetric jump processes(or equivalently, a class of symmetric integro-differential operators). We focus on the sharp two-sided estimates for the…

Probability · Mathematics 2015-05-13 Zhen-Qing Chen

We study the low-energy approximation for calculation of the heat kernel which is determined by the strong slowly varying background fields in strongly curved quasi-homogeneous manifolds. A new covariant algebraic approach, based on taking…

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

It is well known that Nash-type inequalities for symmetric Dirichlet forms are equivalent to on-diagonal heat kernel upper bounds for the associated symmetric Markov semigroups. In this paper, we show that both imply (and hence are…

Probability · Mathematics 2020-10-13 Zhen-Qing Chen , Panki Kim , Takashi Kumagai , Jian Wang

We explicitly construct a heat kernel as a Neumann series for certain function spaces, such as $L^{1}$, $L^{2}$, and Hilbert spaces, associated to a locally compact Hausdorff space $\mathfrak{X}$ with Borel $\sigma$-algebra $\mathcal{B}$,…

Classical Analysis and ODEs · Mathematics 2026-01-01 Palle Jorgensen , Jay Jorgenson , Lejla Smajlovic

Using the Zwanzig projection-operator formalism, we derive a causal two-point spatiotemporal kernel for heat conduction, defined microscopically as a space-resolved equilibrium heat-flux time-correlation function, that encodes temporal…

Materials Science · Physics 2026-04-15 Yi Zeng , Jianjun Dong

In this paper, we derive explicit sharp two-sided estimates for the Dirichlet heat kernels of a large class of symmetric (but not necessarily rotationally symmetric) L\'evy processes on half spaces for all $t>0$. These L\'evy processes may…

Probability · Mathematics 2016-02-22 Zhen-Qing Chen , Panki Kim

We present a simple observation showing that the heat kernel on a locally finite graph behaves for short times $t$ roughly like $t^d$, where $d$ is the combinatorial distance. This is very different from the classical Varadhan type behavior…

Functional Analysis · Mathematics 2015-09-24 Matthias Keller , Daniel Lenz , Florentin Münch , Marcel Schmidt , Andras Telcs