Stability of stationary inverse transport equation in diffusion scaling

Ke Chen, Qin Li, Li Wang

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

We consider the inverse problem of reconstructing the optical parameters for the stationary radiative transfer equation (RTE) from velocity-averaged measurement. The RTE often contains multiple scales, characterized by the magnitude of a dimensionless parameter-the Knudsen number (Kn). In the diffusive scaling (Kn ≪ 1), the stationary RTE is well approximated by an elliptic equation in the forward setting. However, the inverse problem for the elliptic equation is acknowledged to be severely ill-posed, as compared to the well-posedness of the inverse transport equation, which raises the question of how uniqueness is lost as Kn → 0. We tackle this problem by examining the stability of the inverse problem with varying Kn. We show that the discrepancy in two measurements is amplified in the reconstructed parameters at the order of Knp ( p = 1 or 2), and as a result leads to ill-posedness in the zero limit of Kn. Our results apply to both continuous and discrete settings. Lastly, some numerical tests are performed to validate these theoretical findings.

Original languageEnglish (US)
Article number025004
JournalInverse Problems
Volume34
Issue number2
DOIs
StatePublished - Feb 2018

Bibliographical note

Funding Information:
All three authors thank the two anonymous referees for the very careful reading of the paper. It led to significant improvements. The work of KC and QL is supported in part by a start-up fund of QL from UW-Madison and National Science Foundation under the grant DMS-1619778. The work of LW is supported in part by a start-up fund from SUNY Buffalo and the National Science Foundation under the grant DMS-1620135.

Publisher Copyright:
© 2018 IOP Publishing Ltd.

Keywords

  • asymptotic limit
  • diffusion approximation
  • radiative transfer
  • stability

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