Riemann-Hilbert problem approach for two-dimensional flow inverse scattering (Q2928114)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Riemann-Hilbert problem approach for two-dimensional flow inverse scattering |
scientific article; zbMATH DE number 6366344
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Riemann-Hilbert problem approach for two-dimensional flow inverse scattering |
scientific article; zbMATH DE number 6366344 |
Statements
6 November 2014
0 references
time-harmonic wave equation
0 references
inverse problem
0 references
inverse scattering problem
0 references
reconstruction algorithms
0 references
non-local Riemann-Hilbert problem
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
0 references
Riemann-Hilbert problem approach for two-dimensional flow inverse scattering (English)
0 references
Inverse scattering problem for time-harmonic wave equation with first-order perturbation in two dimensions is considered. Namely, consider the equation NEWLINE\[NEWLINE -\Delta \psi -2i A(x) \nabla \psi + V(x) \psi = E \psi, \;\;x \in R^2, \;\;E>0. NEWLINE\]NEWLINE Here \(A=(A_1, A_2)\) and \(V\) are vector and scalar potentials on \(\mathbb R^2\), respectively, under some additional conditions. The above equation can be considered as a model equation for the time-harmonic acoustic pressure \(\psi\) in a two-dimensional moving fluid. The equation can also be considered as the two-dimensional Schrödinger equation at fixed energy \(E\) with the appropriate magnetic and electric potentials. The inverse problem is, given scattering amplitude at fixed \(E>0\), find potentials \(A\) and \(V\). This problem arises in particular in the acoustic tomography of moving fluid. Linearized and nonlinearized reconstruction algorithms are suggested for the problem of inverse scattering. The nonlinearized reconstruction algorithm under consideration is based on the non-local Riemann-Hilbert problem approach. Comparisons with preceding results are given.
0 references