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Autori principali: Kammerer, Clotilde Fermanian, Fischer, Véronique, Flynn, Steven
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2412.17448
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author Kammerer, Clotilde Fermanian
Fischer, Véronique
Flynn, Steven
author_facet Kammerer, Clotilde Fermanian
Fischer, Véronique
Flynn, Steven
contents In this article, we develop a pseudodifferential calculus on a general filtered manifold M . The symbols are fields of operators $σ$(x, $π$) parametrised by x $\in$ M and the unitary dual G x M of the osculating Lie group G x M . We define classes of symbols and a local quantization formula associated to a local frame adapted to the filtration. We prove that the collection of operators on M coinciding locally with the quantization of symbols enjoys the essential properties of a pseudodifferential calculus: composition, adjoint, parametrices, continuity on adapted Sobolev spaces. Moreover, we show that the polyhomogeneous subcalculus coincides with the calculus constructed by van Erp and Yuncken via groupoids.
format Preprint
id arxiv_https___arxiv_org_abs_2412_17448
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantization on filtered manifolds
Kammerer, Clotilde Fermanian
Fischer, Véronique
Flynn, Steven
Functional Analysis
In this article, we develop a pseudodifferential calculus on a general filtered manifold M . The symbols are fields of operators $σ$(x, $π$) parametrised by x $\in$ M and the unitary dual G x M of the osculating Lie group G x M . We define classes of symbols and a local quantization formula associated to a local frame adapted to the filtration. We prove that the collection of operators on M coinciding locally with the quantization of symbols enjoys the essential properties of a pseudodifferential calculus: composition, adjoint, parametrices, continuity on adapted Sobolev spaces. Moreover, we show that the polyhomogeneous subcalculus coincides with the calculus constructed by van Erp and Yuncken via groupoids.
title Quantization on filtered manifolds
topic Functional Analysis
url https://arxiv.org/abs/2412.17448