Uniform stability of the inverse Sturm-Liouville problem on a star-shaped graph
E. E. Chitorkin, N. P. Bondarenko
TL;DR
This work studies the inverse Sturm–Liouville problem on a star-shaped graph with $m$ edges, focusing on recovering edge potentials $q_j$ from spectral data. It develops a two-pronged approach: establishing uniform stability for reconstruction from $m$ spectra (plus auxiliary spectra) and for reconstruction from eigenvalues with weight numbers, using spectral mappings and uniform control of analytic data derived from zeros. The authors derive explicit Lipschitz-type bounds in terms of spectral deviations, employing kernel representations, Paley–Wiener bounds, and Borg-type inversion on graphs. These results advance the stability theory for inverse problems on quantum graphs and provide a rigorous foundation for numerical methods in this setting.
Abstract
In this paper, we study the inverse spectral problem for the Sturm-Liouville operators on a star-shaped graph, which consists in the recovery of the potentials from specral data or several spectra. The uniform stability of these inverse problems on the whole graph is proved.
