Unique reconstruction of the inverse spectral problem with mixed data for AKNS operator
Abstract In this paper, the inverse spectral problem of the AKNS operator <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mi mathvariant="script">ℋ</m:mi> <m:mo></m:mo> <m:mrow> <m:mo stretchy="false">(</m:mo> <m:mi>p</m:mi> <m:mo>,</m:mo> <m:mi>q</m:mi> <m:mo stretchy="false">)</m:mo> </m:mrow> </m:mrow> </m:math> {\mathcal{H}(p,q)} defined on the interval <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mo stretchy="false">[</m:mo> <m:mn>0</m:mn> <m:mo>,</m:mo> <m:mn>1</m:mn> <m:mo stretchy="false">]</m:mo> </m:mrow> </m:math> {[0,1]} with the potential pair <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mo stretchy="false">(</m:mo> <m:mi>p</m:mi> <m:mo>,</m:mo> <m:mi>q</m:mi> <m:mo stretchy="false">)</m:mo> </m:mrow> </m:math> {(p,q)} being a priori known on the subinterval <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mo stretchy="false">[</m:mo> <m:mn>0</m:mn> <m:mo>,</m:mo> <m:mfrac> <m:mi>r</m:mi> <m:mi>m</m:mi> </m:mfrac> <m:mo stretchy="false">]</m:mo> </m:mrow> </m:math> {[0,\frac{r}{m}]} with <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mrow> <m:mn>0</m:mn> <m:mo><</m:mo> <m:mfrac> <m:mi>r</m:mi> <m:mi>m</m:mi> </m:mfrac> <m:mo><</m:mo> <m:mfrac> <m:mn>1</m:mn> <m:mn>2</m:mn> </m:mfrac> </m:mrow> </m:math> {0<\frac{r}{m}<\frac{1}{2}} is considered. An algorithm of reconstruction of the potential from the knowledge of a full spectrum together with a subset of the norming constants is established.
Authors
- Guangsheng Wei (ORCID: https://orcid.org/0000-0002-5697-8038)
- Zhaoying Wei (ORCID: https://orcid.org/0000-0002-6373-2618)
Institutions
- Xi'an Shiyou University (CN)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- Journal of Inverse and Ill-Posed Problems
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1515/jiip-2024-0094
- Primary Topic
- Numerical methods in inverse problems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shaanxi Province