Solution of the inverse spectral problem for differential operators on a finite interval with complex weights

Non-self-adjoint second-order ordinary differential operators on a finite interval with complex weights are studied.Properties of spectral characteristics are established, and the inverse problem of recovering operators from their spectral characteristics is investigated.For this class of nonlinear inverse problems, an algorithm for constructing the global solution is obtained.To study this class of inverse problems, we develop ideas of the method of spectral mappings.

Authors

Institutions

Publication Details

Journal
Izvestiya of Saratov University Mathematics Mechanics Informatics
Published
2025-08-22
DOI
https://doi.org/10.18500/1816-9791-2025-25-3-325-331
Primary Topic
Differential Equations and Boundary Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solution of the inverse spectral problem for differential operators on a finite interval with complex weights

Vjacheslav Yurko
Izvestiya of Saratov University Mathematics Mechanics Informatics
Differential Equations and Boundary Problems
article

Solution of the inverse spectral problem for differential operators on a finite interval with complex weights

Vjacheslav Yurko
article en

Abstract

Non-self-adjoint second-order ordinary differential operators on a finite interval with complex weights are studied.Properties of spectral characteristics are established, and the inverse problem of recovering operators from their spectral characteristics is investigated.For this class of nonlinear inverse problems, an algorithm for constructing the global solution is obtained.To study this class of inverse problems, we develop ideas of the method of spectral mappings.

Izvestiya of Saratov University Mathematics Mechanics InformaticsVol. 25(3)
Saratov State University (RU)
Openalex Percentile: Top 67%
Differential Equations and Boundary Problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.