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Optimization Inverse Spectral Problem for the One-Dimensional Schrödinger Operator on the Entire Real Line
Abstract
We study the statement of the optimization inverse spectral problem with incomplete
spectral data for the one-dimensional Schrödinger operator on the entire axis: for a given
potential \(q_0 \), find the closest function \(\hat {q} \) such that the first \(m \) eigenvalues of the Schrödinger operator
with potential \(\hat {q}\) coincide with given values \(\lambda _k^*\in \mathbb {R} \), \(k={1,\dots ,m}\).
期刊介绍:
Differential Equations is a journal devoted to differential equations and the associated integral equations. The journal publishes original articles by authors from all countries and accepts manuscripts in English and Russian. The topics of the journal cover ordinary differential equations, partial differential equations, spectral theory of differential operators, integral and integral–differential equations, difference equations and their applications in control theory, mathematical modeling, shell theory, informatics, and oscillation theory. The journal is published in collaboration with the Department of Mathematics and the Division of Nanotechnologies and Information Technologies of the Russian Academy of Sciences and the Institute of Mathematics of the National Academy of Sciences of Belarus.