English
Related papers

Related papers: Diagrams for heat kernel expansions

200 papers

In this work, we propose an unsupervised method for learning dense correspondences between shapes using a recent deep functional map framework. Instead of depending on ground-truth correspondences or the computationally expensive geodesic…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Mehmet Aygün , Zorah Lähner , Daniel Cremers

In this paper we present a new approach based on the heat equation and extension problems to some intertwining formulas arising in conformal CR geometry.

Analysis of PDEs · Mathematics 2021-09-03 Nicola Garofalo , Giulio Tralli

An overview about recent progress in the calculation of the heat kernel and the one-loop effective action in quantum gravity and gauge theories is given. We analyse the general structure of the standard Schwinger-De Witt asymptotic…

General Relativity and Quantum Cosmology · Physics 2007-05-23 I. G. Avramidi

The main results of the article are short time estimates and asymptotic estimates for the first two order derivatives of the logarithmic heat kernel of a complete Riemannian manifold. We remove all curvature restrictions and also develop…

Probability · Mathematics 2023-03-07 Xin Chen , Xue Mei Li , Bo Wu

There has been significant progress in our understanding of finite-temperature field theory over the past decade. In this paper, we review the progress in perturbative thermal field theory focusing on thermodynamic quantities. We first…

High Energy Physics - Phenomenology · Physics 2009-09-29 Jens O. Andersen , M. Strickland

We introduce a new method that exploits the combination of the Heat Kernel (HK) and Background Field Method to compute gauge-invariant and gauge parameter-independent quantities such as the effective potential, anomalous dimensions, and…

High Energy Physics - Theory · Physics 2026-04-08 Debanjan Balui , Joydeep Chakrabortty , Christoph Englert , Subhendra Mohanty , Tushar

Networks constitute fundamental organizational structures across biological systems, although conventional graph-theoretic analyses capture exclusively pairwise interactions, thereby omitting the intricate higher-order relationships that…

Quantitative Methods · Quantitative Biology 2025-12-23 Sixtus Dakurah

We establish Gaussian-type upper bounds on the heat kernel for a continuous-time random walk on a graph with unbounded weights under an ergodicity assumption. For the proof we use Davies' perturbation method, where we show a maximal…

Probability · Mathematics 2019-05-31 Sebastian Andres , Jean-Dominique Deuschel , Martin Slowik

We further develop the new approach, proposed in part I (hep-th/9807072), to computing the heat kernel associated with a Fermion coupled to vector and axial vector fields. We first use the path integral representation obtained for the heat…

High Energy Physics - Theory · Physics 2014-11-18 F. A. Dilkes , D. G. C. McKeon , Christian Schubert

A diffusion process associated with the real sub-Laplacian $\Delta_b$, the real part of the complex Kohn-Spencer Laplacian $\square_b$, on a strictly pseudoconvex CR manifold has been constructed. In this paper, we investigate diagonal…

Probability · Mathematics 2015-12-01 Hiroki Kondo

We derive estimates of the derivatives of the heat kernel on noncompact symmetric spaces and on locally symmetric spaces. Applying these estimates we study the $L^{p}$-boundedness of Littlewood-Paley-Stein operators and the Laplacian of the…

Analysis of PDEs · Mathematics 2020-06-18 A. Fotiadis , E. Papageorgiou

We study the heat kernel for a Laplace type partial differential operator acting on smooth sections of a complex vector bundle with the structure group $G\times U(1)$ over a Riemannian manifold $M$ without boundary. The total connection on…

Mathematical Physics · Physics 2011-02-17 Ivan G. Avramidi , Guglielmo Fucci

By making use of the potentials of the heat conduction equation the integral equations are derived which determine the heat kernel for the Laplace operator $-a^2\Delta$ in the case of compound media. In each of the media the parameter $a^2$…

High Energy Physics - Theory · Physics 2008-11-26 I. G. Pirozhenko , V. V. Nesterenko , M. Bordag

Diagrammatic techniques to compute perturbatively the spectral properties of Euclidean Random Matrices in the high-density regime are introduced and discussed in detail. Such techniques are developed in two alternative and very different…

Disordered Systems and Neural Networks · Physics 2011-08-31 T. S. Grigera , V. Martin-Mayor , G. Parisi , P. Urbani , P. Verrocchio

Graph generative modelling has become an essential task due to the wide range of applications in chemistry, biology, social networks, and knowledge representation. In this work, we propose a novel framework for generating graphs by adapting…

Machine Learning · Statistics 2026-02-04 Anthony Stephenson , Ian Gallagher , Christopher Nemeth

The heat kernel expansion on even-dimensional hyperbolic spaces is asymptotic at both short and long times, with interestingly different Borel properties for these short and long time expansions. Resummations in terms of incomplete gamma…

High Energy Physics - Theory · Physics 2023-05-31 Gerald V. Dunne

Linear-scaling electronic structure methods based on the calculation of moments of the underlying electronic Hamiltonian offer a computationally efficient and numerically robust scheme to drive large-scale atomistic simulations, in which…

Materials Science · Physics 2017-01-09 Eunan J. McEniry , Ralf Drautz

We consider the problem of heat diffusion in branched systems and networks on the basis of a model described in terms of heat equation on metric graphs. Using the explicit analytical solutions of the latter, evolution of the temperature…

Classical Physics · Physics 2018-06-29 K. Sabirov , Zh. Zhunussova , D. Babajanov , D. Matrasulov

We analyze the heat kernel associated to the Laplacian on a compact metric graph, with standard Kirchoff-Neumann vertex conditions. An explicit formula for the heat kernel as a sum over loops, developed by Roth and Kostrykin, Potthoff, and…

Spectral Theory · Mathematics 2023-05-10 David Borthwick , Kenny Jones , Evans M. Harrell

This paper introduces a novel, non-deterministic method for embedding data in low-dimensional Euclidean space based on computing realizations of a Gaussian process depending on the geometry of the data. This type of embedding first appeared…

Machine Learning · Computer Science 2024-03-14 Anna C. Gilbert , Kevin O'Neill
‹ Prev 1 4 5 6 7 8 10 Next ›