An Inverse Problem for the Relativistic Boltzmann Equation

Abstract
We consider an inverse problem for the Boltzmann equation on a globally hyperbolic Lorentzian spacetime (M, g) with an unknown metric g. We consider measurements done in a neighbourhood V⊂M of a timelike path μ that connects a point x− to a point x+. The measurements are modelled by a source-to-solution map, which maps a source supported in V to the restriction of the solution to the Boltzmann equation to the set V. We show that the source-to-solution map uniquely determines the Lorentzian spacetime, up to an isometry, in the set I+(x−)∩I−(x+)⊂M. The set I+(x−)∩I−(x+) is the intersection of the future of the point x− and the past of the point x+, and hence is the maximal set to where causal signals sent from x− can propagate and return to the point x+. The proof of the result is based on using the nonlinearity of the Boltzmann equation as a beneficial feature for solving the inverse problem.
Main Authors
Format
Articles Research article
Published
2022
Series
Subjects
Publication in research information system
Publisher
Springer
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202209154603Use this for linking
Review status
Peer reviewed
ISSN
0010-3616
DOI
https://doi.org/10.1007/s00220-022-04486-8
Language
English
Published in
Communications in Mathematical Physics
Citation
  • Balehowsky, T., Kujanpää, A., Lassas, M., & Liimatainen, T. (2022). An Inverse Problem for the Relativistic Boltzmann Equation. Communications in Mathematical Physics, 396(3), 983-1049. https://doi.org/10.1007/s00220-022-04486-8
License
In CopyrightOpen Access
Funder(s)
Research Council of Finland
Research Council of Finland
Funding program(s)
Academy Project, AoF
Centre of Excellence, AoF
Akatemiahanke, SA
Huippuyksikkörahoitus, SA
Research Council of Finland
Additional information about funding
The authors were supported by the Academy of Finland (Finnish Centre of Excellence in Inverse Modelling and Imaging, Grant numbers 312121 and 309963) and AtMath Collaboration project.
Copyright© 2022 Springer

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