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首页/Home>书目采选/Bibliographic selection>书籍详情/Book Detail:Partial Differential Inequalities with Nonlinear Convolution Terms>
Partial Differential Inequalities with Nonlinear Convolution Terms
Ghergu, Marius

Partial Differential Inequalities with Nonlinear Convolution Terms

含非线性卷积项的偏微分不等式

ISBN
9783031218552
作者Author
Ghergu, Marius
出版社Publisher
Springer
出版时间Published
2023-01
产品分类SIC
01020K030106-概率论与数理统计
装帧Format
平装
语种Language
英文
页数Page
136
开本Size
20开
数量Qty
编辑推荐 | Editors' Choice

This brief research monograph uses modern mathematical methods to investigate partial differential equations with nonlinear convolution terms, enabling readers to understand the concept of a solution and its asymptotic behavior.

In their full generality, these inequalities display a non-local structure. Classical methods, such as maximum principle or sub- and super-solution methods, do not apply to this context. This work discusses partial differential inequalities (instead of differential equations) for which there is no variational setting.

This current work brings forward other methods that prove to be useful in understanding the concept of a solution and its asymptotic behavior related to partial differential inequalities with nonlinear convolution terms. It promotes and illustrates the use of a priori estimates, Harnack inequalities, and integral representation of solutions.

One of the first monographs on this rapidly expanding field, the present work appeals to graduate and postgraduate students as well as to researchers in the field of partial differential equations and nonlinear analysis.

前言 | Preface

<b>Marius Ghergu </b>earned a PhD in Mathematics at Universit茅<b> </b>de Savoie in France and is currently an Associate Professor in the School of Mathematics and Statistics, University College Dublin, Ireland. He has conducted research and published on nonlinear partial differential equations which model real life phenomena.