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Boltzmann–Gibbs random fields with mesh-free precision operators based on smoothed particle hydrodynamics

Christopoulos Dionysios

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URIhttp://purl.tuc.gr/dl/dias/F4FC4C25-B05A-4074-9397-2D7A154486E5-
Identifierhttps://doi.org/10.1090/tpms/1180-
Identifierhttps://www.ams.org/journals/tpms/2022-107-00/S0094-9000-2022-01180-8/-
Languageen-
Extent24 pagesen
TitleBoltzmann–Gibbs random fields with mesh-free precision operators based on smoothed particle hydrodynamicsen
CreatorChristopoulos Dionysiosen
CreatorΧριστοπουλος Διονυσιοςel
PublisherTaras Shevchenko National University of Kyiven
Content SummaryBoltzmann–Gibbs random fields are defined in terms of the exponential expression, where is a suitably defined energy functional of the field states. This paper presents a new Boltzmann–Gibbs model which features local interactions in the energy functional. The interactions are embodied in a spatial coupling function which uses smoothed kernel-function approximations of spatial derivatives inspired from the theory of smoothed particle hydrodynamics. A specific model for the interactions based on a second-degree polynomial of the Laplace operator is studied. An explicit, mesh-free expression of the spatial coupling function (precision function) is derived for the case of the squared exponential (Gaussian) smoothing kernel. This coupling function allows the model to seamlessly extend from discrete data vectors to continuum fields. Connections with Gaussian Markov random fields and the Matérn field with are established.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2024-02-08-
Date of Publication2022-
SubjectRandom fieldsen
SubjectKernel functionsen
SubjectPrecision matrixen
SubjectSmoothed particle hydrodynamicsen
Bibliographic CitationD. T. Hristopulos, “Boltzmann–Gibbs random fields with mesh-free precision operators based on smoothed particle hydrodynamics,” Theor. Probability and Math. Statist., vol. 107, pp. 37-60, 2022, doi: 10.1090/tpms/1180.en

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