Projects per year
Abstract
Focusing on nonlocality in space, this book provides a systematic study of both forward and inverse problems associated with integro-differential operators. It introduces key properties of forward problems—well-posedness, maximum principles, and unique continuation—before delving into inverse problems, including modeling, unique identifiability, stability analysis, and reconstruction methods. The discussion bridges mathematical theory with real-world applications, offering insights into pioneering contributions as well as recent advances by the authors and their collaborators.
As an evolving field, nonlocal inverse problems present a wealth of open challenges and emerging applications. This book not only provides a comprehensive introduction but also aims to inspire future research with fresh perspectives and novel insights. It is an invaluable resource for graduate students and early-career researchers looking to enter the field, as well as a valuable reference for experienced mathematicians working in inverse problems and mathematical analysis.
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
| Original language | English |
|---|---|
| Place of Publication | Cham, Switzerland |
| Publisher | Springer |
| Number of pages | 311 |
| ISBN (Electronic) | 978-3-031-89142-7 |
| ISBN (Print) | 978-3-031-89141-0 |
| DOIs | |
| Publication status | Published - 2025 |
Publication series
| Name | Applied Mathematical Sciences |
|---|---|
| Volume | 222 |
| ISSN (Print) | 0066-5452 |
| ISSN (Electronic) | 2196-968X |
Funding
Yi-Hsuan Lin would like to acknowledge the research support from the National Science and Technology Council (NSTC) in Taiwan (No. 113-2628-M-A49-003 and 113-2115-M-A49-017-MY3), and the Alexander von Humboldt Foundation for the prestigious Humboldt research fellowship for experienced researcher in Germany. Hongyu Liu would like to acknowledge the research support from the Hong Kong RGC General Research Funds (No. 11311122, 11304224, and 11300821), the NSFC/RGC Joint Research Fund (No. N_CityU101/21), and the ANR/RGC Joint Research Grant (No. A_CityU203/19).
Research Keywords
- fractional PDEs
- integro-differential operators
- inverse problems
- modelling
- nonlocal operators
- reconstruction methods
- stability estimates
- unique identifiability
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Inverse Problems for Integro-differential Operators'. Together they form a unique fingerprint.-
GRF: A Mathematical Theory of Inverse Problems for Mean Field Games
LIU, H. (Principal Investigator / Project Coordinator)
1/07/24 → …
Project: Research
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GRF: Mathematical Study of Fields Concentration and Gradient Estimates with Applications
LIU, H. (Principal Investigator / Project Coordinator) & Deng, Y. (Co-Investigator)
1/01/23 → …
Project: Research
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GRF: Mathematical Studies of Surface-localized Transmission Eigenstates and Applications
LIU, H. (Principal Investigator / Project Coordinator)
1/01/22 → 15/12/25
Project: Research
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