Overview
- This book is open access, which means that you have free and unlimited access
- Shows how the functional inequality is used to establish the necessary a priori estimates
- Provides readers in a somewhat systematic way with the recent progress on qualitative properties
- Deals with a rich variety of taxis-type cross-diffusive equations
Part of the book series: Financial Mathematics and Fintech (FMF)
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Keywords
Table of contents (6 chapters)
Authors and Affiliations
About the authors
Jing Li is employed as the associate professor and master supervisor of College of Science, Minzu University of China. She was also employed as the High-level Young Talent of Minzu University of China from 2019 to 2022. Her research interests are the relevance of chemotaxis in reaction–diffusion processes and mathematical theory of nonlocal problem in biology. She presided over three National Natural Science Foundation projects (NNSF) and published more than 20 scientific research papers.
Yifu Wang is employed as the professor of school of Mathematics and Statistics, Beijing Institute of Technology, P.R. of China. His research is concerned mainly with qualitative analysis of nonlinear parabolic equations, such as chemotactic cross-diffusion system in biology and ecology. He has been the supervisor of several master's degree students and Ph.D. students. The research is supported by the National Natural Science Foundation of China (NNSF) and program for new century excellent talents in university (NCET). He has published 80 scientific research papers.
Bibliographic Information
Book Title: Analysis of Reaction-Diffusion Models with the Taxis Mechanism
Authors: Yuanyuan Ke, Jing Li, Yifu Wang
Series Title: Financial Mathematics and Fintech
DOI: https://doi.org/10.1007/978-981-19-3763-7
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Hardcover ISBN: 978-981-19-3762-0Published: 26 August 2022
Softcover ISBN: 978-981-19-3765-1Published: 26 August 2022
eBook ISBN: 978-981-19-3763-7Published: 25 August 2022
Series ISSN: 2662-7167
Series E-ISSN: 2662-7175
Edition Number: 1
Number of Pages: IX, 411
Number of Illustrations: 1 b/w illustrations, 5 illustrations in colour
Topics: Mathematics, general, Evolutionary Biology, Cell Biology