🔧На сайте запланированы технические работы
25.12.2025 в промежутке с 18:00 до 21:00 по Московскому времени (GMT+3) на сайте будут проводиться плановые технические работы. Возможны перебои с доступом к сайту. Приносим извинения за временные неудобства. Благодарим за понимание!
🔧Site maintenance is scheduled.
Scheduled maintenance will be performed on the site from 6:00 PM to 9:00 PM Moscow time (GMT+3) on December 25, 2025. Site access may be interrupted. We apologize for the inconvenience. Thank you for your understanding!

 

On Inverse Dynamical and Spectral Problems for the Wave and Schrӧdinger Equations on Finite Trees. The Leaf Peeling Method


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Interest in inverse dynamical, spectral, and scattering problems for differential equations on graphs is motivated by possible applications to nano-electronics and quantum waveguides and by a variety of other classical and quantum applications. Recently a new effective leaf peeling method has been proposed by S. Avdonin and P. Kurasov for solving inverse problems on trees (graphs without cycles). It allows recalculating efficiently the inverse data from the original tree to smaller trees, “removing” leaves step by step up to the rooted edge. In this paper, the main step of the spectral and dynamical versions of the peeling algorithm, i.e., recalculating the inverse data for a “peeled tree” is described. Bibliography: 12 titles.

About the authors

V. S. Mikhaylov

St.Petersburg Department of the SteklovMathematical Institute; St.Petersburg State University

Email: s.avdonin@alaska.edu
Russian Federation, St.Petersburg; St.Petersburg

K. B. Nurtazina

L.N. Gumilyov Eurasian National University

Email: s.avdonin@alaska.edu
Kazakhstan, Astana

S. A. Avdonin

University of Alaska Fairbanks

Author for correspondence.
Email: s.avdonin@alaska.edu
United States, Fairbanks

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2017 Springer Science+Business Media New York