Heat content and spectrum for subordinated sub-Laplacians
Abstract
We study heat content and spectral properties of subordinated sub-Laplacians on arbitrary Carnot groups. We consider restrictions of such operators to bounded open sets with zero Dirichlet boundary condition and study their spectral properties. In particular, for a large class of subordinators we give explicit eigenvalue estimates in terms of the subordinator and the eigenvalues of the sub-Laplacian. We also provide large-time asymptotics of the heat content for the subordinated sub-Laplacian in terms of its spectral gap. For fractional sub-Laplacians we prove short-time asymptotics for the corresponding heat content and relative heat content. Our approach combines semigroup methods, probabilistic techniques, geometric measure theory, and heat kernel estimates.
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BibTeX
@misc{gordina2026heat,
title = {{Heat content and spectrum for subordinated sub-Laplacians}},
author = {Maria Gordina and Liangbing Luo and Andrea Pinamonti and Rohan Sarkar},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.04045},
eprint = {2609.04045},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.04045},
}
RIS
TY - UNPB
TI - Heat content and spectrum for subordinated sub-Laplacians
AU - Maria Gordina
AU - Liangbing Luo
AU - Andrea Pinamonti
AU - Rohan Sarkar
PY - 2026
DA - 2026/09/03
PB - arXiv
DO - 10.48550/arxiv.2609.04045
UR - https://arxiv.org/abs/2609.04045
AB - We study heat content and spectral properties of subordinated sub-Laplacians on arbitrary Carnot groups. We consider restrictions of such operators to bounded open sets with zero Dirichlet boundary condition and study their spectral properties. In particular, for a large class of subordinators we give explicit eigenvalue estimates in terms of the subordinator and the eigenvalues of the sub-Laplacian. We also provide large-time asymptotics of the heat content for the subordinated sub-Laplacian in terms of its spectral gap. For fractional sub-Laplacians we prove short-time asymptotics for the corresponding heat content and relative heat content. Our approach combines semigroup methods, probabilistic techniques, geometric measure theory, and heat kernel estimates.
ER -