An approximation of the $S$ matrix for solving the Marchenko equation
N. A. Khokhlov

TL;DR
This paper introduces a novel approximation method for the S-matrix as a sum of rational and Sinc series components, enabling efficient solution of the Marchenko equation with high accuracy for various scattering data.
Contribution
The paper presents a new approximation of the S-matrix that simplifies the Marchenko equation into a linear system, improving computational efficiency and accuracy in inverse scattering problems.
Findings
Good convergence demonstrated numerically
Applicable to both unitary and non-unitary S matrices
Validated against an exactly solvable model
Abstract
I present a new approximation of the -matrix dependence on momentum , formulated as a sum of a rational function and a truncated Sinc series. This approach enables pointwise determination of the matrix with specified resolution, capturing essential features such as resonance behavior with high accuracy. The resulting approximation provides a separable kernel for the Marchenko equation (fixed- inversion), reducing it to a system of linear equations for the expansion coefficients of the output kernel. Numerical results demonstrate good convergence of this method, applicable to both unitary and non-unitary matrices. Convergence is further validated through comparisons with an exactly solvable square-well potential model. The method is applied to analyze scattering data.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDifferential Equations and Numerical Methods · Matrix Theory and Algorithms · Material Science and Thermodynamics
