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We provide general lower and upper bounds for Laplace Dirichlet heat kernel of convex $\mathcal C^{1,1}$ domains. The obtained estimates precisely describe the exponential behaviour of the kernels, which has been known only in a few special…

Analysis of PDEs · Mathematics 2021-10-13 Grzegorz Serafin

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 prove sharp estimates of the heat kernel associated with Fourier-Dini expansions on $(0,1)$ equipped with Lebesgue measure and the Neumann condition imposed on the right endpoint. Then we give several applications of this result…

Classical Analysis and ODEs · Mathematics 2024-10-17 Bartosz Langowski , Adam Nowak

We provide sharp two-sided estimates of the Fourier-Bessel heat kernel and we give sharp two-sided estimates of the transition probability density for the Bessel process in (0,1) killed at 1 and killed or reflected at 0.

Classical Analysis and ODEs · Mathematics 2015-03-10 Jacek Malecki , Grzegorz Serafin , Tomasz Zorawik

In this work, we investigate the quantum dynamics of a particle subject to the Morse potential within the framework of Dunkl quantum mechanics. By employing the Dunkl derivative operator, which introduces reflection symmetry, we construct a…

Quantum Physics · Physics 2025-06-30 B. Hamil , B. C. Lütfüoğlu , A. N. Ikot , U. S. Okorie

We present a framework based on modified dyadic shifts to prove multiple results of modern singular integral theory under mild kernel regularity. Using new optimized representation theorems we first revisit a result of Figiel concerning the…

Classical Analysis and ODEs · Mathematics 2020-09-28 Emil Airta , Henri Martikainen , Emil Vuorinen

In the paper we consider the Bessel differential operator L^(\mu)=\dfrac{d^2}{dx^2}+\dfrac{2\mu+1}{x}\dfrac{d}{dx} in half-line (a,\infty), a>0, and its Dirichlet heat kernel p_a^(\mu)(t,x,y). For \mu=0, by combining analytical and…

Analysis of PDEs · Mathematics 2015-01-13 Kamil Bogus , Jacek Malecki

Among the available perturbative approaches in quantum field theory, heat kernel techniques provide a powerful and geometrically transparent framework for computing effective actions in nontrivial backgrounds. In this work, resummation…

High Energy Physics - Theory · Physics 2025-11-06 S. A. Franchino-Viñas , C. García-Pérez , F. D. Mazzitelli , S. Pla , V. Vitagliano

In a 1991 paper by Buttig and Eichhorn, the existence and uniqueness of a differential forms heat kernel on open manifolds of bounded geometry was proven. In that paper, it was shown that the heat kernel obeyed certain properties, one of…

Differential Geometry · Mathematics 2010-08-02 Trevor H. Jones

The paper introduces new sufficient conditions of strict positive definiteness for kernels on d-dimensional spheres which are not radially symmetric but possess specific coefficient structures. The results use the series expansion of the…

Numerical Analysis · Mathematics 2021-05-07 Martin Buhmann , Janin Jäger

We obtain matching two sided estimates of the heat kernel on a connected sum of parabolic manifolds, each of them satisfying the Li-Yau estimate. The key result is the on-diagonal upper bound of the heat kernel at a central point. Contrary…

Probability · Mathematics 2016-08-05 Alexander Grigor'yan , Satoshi Ishiwata , Laurent Saloff-Coste

Kernel methods play an important role in machine learning applications due to their conceptual simplicity and superior performance on numerous machine learning tasks. Expressivity of a machine learning model, referring to the ability of the…

Kernel Estimation provides an unbinned and non-parametric estimate of the probability density function from which a set of data is drawn. In the first section, after a brief discussion on parametric and non-parametric methods, the theory of…

High Energy Physics - Experiment · Physics 2009-10-31 Kyle S. Cranmer

We point out that using the heat kernel on a cone to compute the first quantum correction to the entropy of Rindler space does not yield the correct temperature dependence. In order to obtain the physics at arbitrary temperature one must…

High Energy Physics - Theory · Physics 2010-11-01 R. Emparan

We introduce the notion of multiplication kernels of birational and $D$-module type and give various examples. We also introduce the notion of a semi-classical multiplication kernel associated with an integrable system and discuss its…

Algebraic Geometry · Mathematics 2022-01-05 Maxim Kontsevich , Alexander Odesskii

We present a recent determination of an approximate expression for the O(alpha_s^3) contribution chi_2 to the kernel of the BFKL equation. This includes all collinear and anticollinear singular contributions and is derived using duality…

High Energy Physics - Phenomenology · Physics 2007-08-30 S. Marzani , R. D. Ball , P. Falgari , S. Forte

For a finite reflection group on $\b R^N,$ the associated Dunkl operators are parametrized first-order differential-difference operators which generalize the usual partial derivatives. They generate a commutative algebra which is - under…

q-alg · Mathematics 2007-05-23 Margit Rösler

In this article, we prove the transformation formula for the reduced Bergman kernels under proper holomorphic correspondences between bounded domains in the complex plane. As a corollary, we obtain the transformation formula for the reduced…

Complex Variables · Mathematics 2023-09-13 Sahil Gehlawat , Aakanksha Jain , Amar Deep Sarkar

We clearly characterize the relation between real and complex Wiener-Ito integrals. Given a complex multiple Wiener-Ito integral, we get explicit expressions for two kernels of its real and imaginary parts. Conversely, consider a…

Probability · Mathematics 2022-07-21 Huiping Chen , Yong Chen , Yong Liu

This paper presents new methodology for computationally efficient kernel density estimation. It is shown that a large class of kernels allows for exact evaluation of the density estimates using simple recursions. The same methodology can be…

Computation · Statistics 2019-11-12 David P. Hofmeyr