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Inverse problems for integro-differential operators

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Inverse problems for integro-differential operators/ by Yi-Hsuan Lin, Hongyu Liu.
作者:	Lin, Yi-Hsuan.
其他作者:	Liu, Hongyu.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiv, 304 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Special Functions. -
電子資源:	https://doi.org/10.1007/978-3-031-89142-7
ISBN:	9783031891427

Inverse problems for integro-differential operators
Lin, Yi-Hsuan.

Inverse problems for integro-differential operators[electronic resource] /by Yi-Hsuan Lin, Hongyu Liu. - Cham :Springer Nature Switzerland :2025. - xiv, 304 p. :ill. (some col.), digital ;24 cm. - Applied mathematical sciences,v. 2222196-968X ;. - Applied mathematical sciences ;v.173..

Preface -- Introduction -- Integro-differential operators -- Part 1. Inverse problems for linear integro-differential operators -- Inverse problems for the fractional Schr¨odinger equation -- Inverse problems for the fractional Schr¨odinger equation with drift -- Inverse problems for variable coefficients nonlocal equations -- Inverse problems for the fractional wave equation -- Part 2. Inverse problems for nonlinear integro-differential operators -- Inverse problems for fractional semilinear elliptic equations -- Montonicity-based inversion formula with power type nonlinearities -- Summary and some open questions -- Bibliography.

Inverse problems lie at the core of scientific discovery, enabling us to determine causes from observed consequences. They are fundamental to both theoretical research and technological innovation, making them a central topic in the mathematical sciences. This book explores a cutting-edge area of inverse problems-those related to integro-differential operators, also known as nonlocal operators. Due to their unique theoretical properties and vast practical applications, nonlocal inverse problems have garnered significant interest in recent years, making this an ideal time for a dedicated research monograph. 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.

ISBN: 9783031891427

Standard No.: 10.1007/978-3-031-89142-7doiSubjects--Topical Terms:

672152
Special Functions.

LC Class. No.: QA371

Dewey Class. No.: 515.357

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520 $a Inverse problems lie at the core of scientific discovery, enabling us to determine causes from observed consequences. They are fundamental to both theoretical research and technological innovation, making them a central topic in the mathematical sciences. This book explores a cutting-edge area of inverse problems-those related to integro-differential operators, also known as nonlocal operators. Due to their unique theoretical properties and vast practical applications, nonlocal inverse problems have garnered significant interest in recent years, making this an ideal time for a dedicated research monograph. 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.
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