Recovery of the matrix potential of the one-dimensional Dirac equation from spectral data

Abstract A method for solving an inverse spectral problem for the one-dimensional Dirac equation is developed. The method is based on the Gelfand–Levitan equation and the Fourier–Legendre series expansion of the transmutation kernel. A linear algebraic system of equations is obtained, which can be solved numerically. To the best of our knowledge, this is the first practical method for the solution of the inverse problem for the one-dimensional Dirac equation on a finite interval.

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Publication Details

Journal
Inverse Problems
Published
2026-01-06
DOI
https://doi.org/10.1088/1361-6420/ae33ea
Primary Topic
Spectral Theory in Mathematical Physics
Type
article
Field-Weighted Citation Impact
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article

Recovery of the matrix potential of the one-dimensional Dirac equation from spectral data

Sergii M. Torba, Emmanuel Roque
Inverse Problems
Spectral Theory in Mathematical Physics
article

Recovery of the matrix potential of the one-dimensional Dirac equation from spectral data

Sergii M. Torba, Emmanuel Roque
article en

Abstract

Abstract A method for solving an inverse spectral problem for the one-dimensional Dirac equation is developed. The method is based on the Gelfand–Levitan equation and the Fourier–Legendre series expansion of the transmutation kernel. A linear algebraic system of equations is obtained, which can be solved numerically. To the best of our knowledge, this is the first practical method for the solution of the inverse problem for the one-dimensional Dirac equation on a finite interval.

Inverse ProblemsVol. 42(1)
Openalex Percentile: Top 97%
Spectral Theory in Mathematical Physics
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Recovery of the matrix potential of the one-dimensional Dirac equation from spectral data — Sergii M. Torba, Emmanuel Roque · Inverse Problems (2026) | TGRS Research Map | TGRS