Matrix Inequality (Second Edition)

Author: Wang Songgui, Wu Mixia, Jia Zhongzhen (editors)
Publisher:
Publish Date: 2006-05-01
Features: This book systematically discusses various inequalities in matrix theory. The book is divided into nine chapters, with Chapter 1 serving as the preliminary knowledge of matrix theory. Chapters 2 to 8 discuss inequalities related to rank, determinant, eigenvalue, condition number, trace, partial order, and control, respectively. Chapter 9 presents several applications of matrix inequalities in linear statistics. The last two appendices collect commonly used inequalities in quantity, functions, and probability and statistics. The target readers of this book include senior undergraduate and graduate students in higher education institutions, teachers and mathematicians in relevant fields, as well as engineering and technical personnel.