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Related papers: Generalized heat kernel coefficients

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In the case of the heat equation $u_t=u_{xx}+Vu$ on the real line there are some remarkable potentials $V$ for which the asymptotic expansion of the fundamental solution becomes a finite sum and gives an exact formula. We show that a…

Classical Analysis and ODEs · Mathematics 2012-04-25 F. Alberto Grunbaum , Plamen Iliev

We give a short overview of the effective action approach in quantum field theory and quantum gravity and describe various methods for calculation of the asymptotic expansion of the heat kernel for second-order elliptic partial differential…

Mathematical Physics · Physics 2009-11-07 Ivan Avramidi

We characterize the elements of generalized Gelfand Shilov spaces in terms of the coefficients of their Fourier-Hermite expansion. The technique we use can be applied both in quasianalytic and nonquasianalytic case. The characterizations…

Quantum Physics · Physics 2007-06-18 Z. Lozanov--Crvenkovic , D. Perisic

Let $X_{1},...,X_{m}$ be a family of real smooth vector fields defined in $\mathbb{R}^{n}$, $1$-homogeneous with respect to a nonisotropic family of dilations and satisfying H\"{o}rmander's rank condition at $0$ (and therefore at every…

Analysis of PDEs · Mathematics 2021-04-09 Stefano Biagi , Marco Bramanti

We present a very quick and powerful method for the calculation of heat-kernel coefficients. It makes use of rather common ideas, as integral representations of the spectral sum, Mellin transforms, non-trivial commutation of series and…

High Energy Physics - Theory · Physics 2016-09-06 M. Bordag , E. Elizalde , K. Kirsten

Gaussian upper and lower bounds and H\"older continuity are established for the heat kernel associated to the prolate spheroidal wave functions (PSWFs) of order zero. These results are obtained by application of a general perturbation…

Functional Analysis · Mathematics 2021-08-31 Aline Bonami , Gerard Kerkyacharian , Pencho Petrushev

We obtain two-sided heat kernel estimates for Riemannian manifolds with ends with mixed boundary condition, provided that the heat kernels for the ends are well understood. These results extend previous results of Grigor'yan and…

Differential Geometry · Mathematics 2025-01-15 Emily Dautenhahn , Laurent Saloff-Coste

In connection with the classical Schwartz kernel theorem, we show that in the framework of Colombeau generalized functions a large class of linear mappings admit integral kernels. To do this, we need to introduce news spaces of generalized…

Functional Analysis · Mathematics 2007-06-13 A. Delcroix

Considering the kernel of an integral operator intertwining two realizations of the group of motions of the pseudo-Euclidian space, we derive two formulas for series containing Whittaker's functions or Weber's parabolic cylinder functions.…

Classical Analysis and ODEs · Mathematics 2023-06-22 J. Choi , I. A. Shilin

We consider an open quantum system with Hamiltonian $H_S$ whose spectrum is given by a generalized Fibonacci sequence weakly coupled to a Boson reservoir in equilibrium at inverse temperature $\beta$. We find the generator of the reduced…

Quantum Physics · Physics 2022-05-12 Franco Fagnola , Chul Ki Ko , Hyun Jae Yoo

We establish small-time asymptotic expansions for heat kernels of hypoelliptic H\"ormander operators in a neighborhood of the diagonal, generalizing former results obtained in particular by M\'etivier and by Ben Arous. The coefficients of…

Analysis of PDEs · Mathematics 2020-04-15 Yves Colin de Verdière , Luc Hillairet , Emmanuel Trélat

Devoted to multi-task learning and structured output learning, operator-valued kernels provide a flexible tool to build vector-valued functions in the context of Reproducing Kernel Hilbert Spaces. To scale up these methods, we extend the…

Machine Learning · Computer Science 2018-05-25 Romain Brault , Florence d'Alché-Buc , Markus Heinonen

Gaussian Radial Basis Function (RBF) Kernels are the most-often-employed kernels in artificial intelligence and machine learning routines for providing optimally-best results in contrast to their respective counter-parts. However, a little…

Machine Learning · Computer Science 2023-12-19 Himanshu Singh

Kernel expansions are a topic of considerable interest in machine learning, also because of their relation to the so-called feature maps introduced in machine learning. Properties of the associated basis functions and weights (corresponding…

Machine Learning · Computer Science 2024-10-03 Mauro Bisiacco , Gianluigi Pillonetto

We discuss equivalent representations of the collective/bosonic Hamiltonian in the form of Taylor expansion over collective coordinate and momentum. Different expansions are equivalent if they are related by a transformation of collective…

Nuclear Theory · Physics 2015-05-30 L. Y. Jia , V. G. Zelevinsky

Kernels are a fundamental technical primitive in machine learning. In recent years, kernel-based methods such as Gaussian processes are becoming increasingly important in applications where quantifying uncertainty is of key interest. In…

The high efficiency of a recently proposed method for computing with Gaussian processes relies on expanding a (translationally invariant) covariance kernel into complex exponentials, with frequencies lying on a Cartesian equispaced grid.…

Numerical Analysis · Mathematics 2023-05-19 Alex Barnett , Philip Greengard , Manas Rachh

We show that not feeling the boundary estimates for heat kernels hold for any non-negative self-adjoint extension of the Laplace operator acting on vector-valued compactly supported functions on a domain in $\mathbb{R}^d$. They are…

Analysis of PDEs · Mathematics 2016-04-05 Liangpan Li , Alexander Strohmaier

We consider integral kernels for functions $f(\hat F)$ of a minimal second-order differential operator $\hat F(\nabla)$ on a curved spacetime. We show that they can be expanded in a functional series, analogous to the DeWitt expansion for…

High Energy Physics - Theory · Physics 2026-02-10 Andrei O. Barvinsky , Alexey E. Kalugin , Władysław Wachowski

For a given bounded domain $\Omega$ with smooth boundary in a smooth Riemannian manifold $(\mathcal{M},g)$, we establish a procedure to get all the coefficients of the asymptotic expansion of the trace of the heat kernel associated with the…

Analysis of PDEs · Mathematics 2014-05-15 Genqian Liu
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