dc.contributor.author
Cardona, R.
dc.contributor.author
Miranda, E.
dc.contributor.author
Peralta-Salas, D.
dc.date.accessioned
2025-06-19T10:28:06Z
dc.date.available
2025-06-19T10:28:06Z
dc.date.issued
2025-03-13
dc.identifier.uri
http://hdl.handle.net/2072/484461
dc.description.abstract
In 1991, Moore (Nonlinearity 4:199–230, 1991) raised a question about whether hydrodynamics is capable of performing computations. Similarly, in 2016, Tao (J Am Math Soc 29(3):601–674, 2016) asked whether a mechanical system, including a fluid flow, can simulate a universal Turing machine. In this expository article, we review the construction in Cardona et al. (Proc Natl Acad Sci 118(19):e2026818118, 2021) of a “Fluid computer” in dimension 3 that combines techniques in symbolic dynamics with the connection between steady Euler flows and contact geometry unveiled by Etnyre and Ghrist. In addition, we argue that the metric that renders the vector field Beltrami cannot be critical in the Chern-Hamilton sense (Chern and Hamilton in On Riemannian metrics adapted to three-dimensional contact manifolds, Springer, Berlin, 1985). We also sketch the completely different construction for the Euclidean metric in R3 as given in Cardona et al. (J Math Pures Appl 169:50–81, 2023). These results reveal the existence of undecidable fluid particle paths. We conclude the article with a list of open problems.
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dc.description.sponsorship
Robert Cardona and Eva Miranda were partially supported by the project reference PID2019-103849GB-I00 by MICIU/AEI/10.13039/501100011033/ and and the research project PID2023-146936NB-I00 funded by MICIU/AEI/ 10.13039/501100011033 and, by ERDF/EU. the AGAUR Grant 2021 SGR 00603. Eva Miranda is supported by an ICREA Academia Prize 2021 and Bessel Prize of the Alexander Von Humboldt foundation and by the Spanish State Research Agency, through the Severo Ochoa and Mar\u00EDa de Maeztu Program for Centers and Units of Excellence in R&D (project CEX2020-001084-M) and by and the research project PID2023-146936NB-I00 funded by MICIU/AEI/ 10.13039/501100011033 and, by ERDF/EU. Daniel Peralta-Salas is supported by the Grants CEX2023-001347-S, RED2022-134301-T and PID2022-136795NB-I00 funded by MCIN/AEI/10.13039/501100011033. All authors are supported by the project Computational, dynamical and geometrical complexity in fluid dynamics\u2014AYUDAS FUNDACI\u00D3N BBVA A PROYECTOS INVESTIGACI\u00D3N CIENT\u00CDFICA 2021.
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dc.format.extent
17 p.
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dc.relation.ispartof
Foundations of Computational Mathematics
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dc.rights
© The Author(s) 2025.
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dc.rights
Attribution 4.0 International
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.source
RECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.other
Beltrami fields
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dc.subject.other
Computational complexity
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dc.subject.other
Euler equations
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dc.subject.other
Turing completeness
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Turing machines
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Universality
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dc.title
Towards a Fluid Computer
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dc.type
info:eu-repo/semantics/article
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dc.description.version
info:eu-repo/semantics/publishedVersion
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dc.identifier.doi
10.1007/s10208-025-09699-6
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dc.rights.accessLevel
info:eu-repo/semantics/openAccess