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出版社： DoverPublications
ISBN：9780486623184
商品编码：25757615524
包装：平装
开本：大25开
用纸：轻型纸
页数：288
正文语种：英语
具体描述
线性代数和矩阵理论基础 Linear Algebra and Matrix Theory
Series: Dover Books on MathematicsPaperback: 288 pagesPublisher: Dover Publications (October 17, 2012)Language: EnglishISBN-10: 0486623181ISBN-13: 978-0486623184Product Dimensions: 134.62 x 200.66 x 15.24mm | 317.51g
内容简介
Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics.The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Subjects include equivalence relations for matrixes, postulational approaches to determinants, and bilinear, quadratic, and Hermitian forms in their natural settings. The final chapters apply chiefly to students of engineering, physics, and advanced mathematics. They explore groups and rings, canonical forms for matrixes with respect to similarity via representations of linear transformations, and unitary and Euclidean vector spaces. Numerous examples appear throughout the text.
Series: Dover Books on MathematicsPaperback: 288 pagesPublisher: Dover Publications (October 17, 2012)Language: EnglishISBN-10: 0486623181ISBN-13: 978-0486623184Product Dimensions: 134.62 x 200.66 x 15.24mm | 317.51g
内容简介
Advanced undergraduate and first-year graduate students have long regarded this text as one of the best available works on matrix theory in the context of modern algebra. Teachers and students will find it particularly suited to bridging the gap between ordinary undergraduate mathematics and completely abstract mathematics.The first five chapters treat topics important to economics, psychology, statistics, physics, and mathematics. Subjects include equivalence relations for matrixes, postulational approaches to determinants, and bilinear, quadratic, and Hermitian forms in their natural settings. The final chapters apply chiefly to students of engineering, physics, and advanced mathematics. They explore groups and rings, canonical forms for matrixes with respect to similarity via representations of linear transformations, and unitary and Euclidean vector spaces. Numerous examples appear throughout the text.
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