Acoustic nonlinearity parameter tomography with the Jordan–Moore–Gibson–Thompson equation in frequency domain

Abstract This paper aims to combine the advantages of the Jordan–Moore–Gibson–Thompson equation as an advanced model in nonlinear acoustics with a frequency domain formulation of the forward and inverse problem of acoustic nonlinearity parameter tomography, enabling the multiplication of information by nonlinearity. Our main result is local uniqueness of the space dependent nonlinearity parameter from boundary measurements, which we achieve by linearized uniqueness with an Implicit Function type perturbation argument in appropriately chosen topologies. Moreover, we shortly dwell on the application of a regularized Newton type method for reconstructing the nonlinearity coefficient, whose convergence can be established by means of the linear uniqueness result.

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Publication Details

Journal
Inverse Problems
Published
2025-09-09
DOI
https://doi.org/10.1088/1361-6420/ae0518
Citations
1
Primary Topic
Numerical methods in inverse problems
Type
article
Field-Weighted Citation Impact
3.69

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article

Acoustic nonlinearity parameter tomography with the Jordan–Moore–Gibson–Thompson equation in frequency domain

Barbara Kaltenbacher
1 citations
Inverse Problems
Numerical methods in inverse problems
3.69
article

Acoustic nonlinearity parameter tomography with the Jordan–Moore–Gibson–Thompson equation in frequency domain

Barbara Kaltenbacher
article en
1 citations

Abstract

Abstract This paper aims to combine the advantages of the Jordan–Moore–Gibson–Thompson equation as an advanced model in nonlinear acoustics with a frequency domain formulation of the forward and inverse problem of acoustic nonlinearity parameter tomography, enabling the multiplication of information by nonlinearity. Our main result is local uniqueness of the space dependent nonlinearity parameter from boundary measurements, which we achieve by linearized uniqueness with an Implicit Function type perturbation argument in appropriately chosen topologies. Moreover, we shortly dwell on the application of a regularized Newton type method for reconstructing the nonlinearity coefficient, whose convergence can be established by means of the linear uniqueness result.

Inverse ProblemsVol. 41(9)
Klinikum Klagenfurt (AT), University of Klagenfurt (AT)
Austrian Science Fund
Openalex Percentile: Top 7%
Numerical methods in inverse problems
3.69
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