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Titlebook: Linear Algebra; M. Thamban Nair,Arindama Singh Textbook 2018 Springer Nature Singapore Pte Ltd. 2018 Vector Spaces.Linear Transformations.

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书目名称Linear Algebra
编辑M. Thamban Nair,Arindama Singh
视频video
概述Presents Gaussian elimination and the Gauss–Jordan elimination process.Elaborates on the use of projection operators due to their importance in applications.Discusses solvability of linear equations a
图书封面Titlebook: Linear Algebra;  M. Thamban Nair,Arindama Singh Textbook 2018 Springer Nature Singapore Pte Ltd. 2018 Vector Spaces.Linear Transformations.
描述.This book introduces the fundamental concepts, techniques and results of linear algebra that form the basis of analysis, applied mathematics and algebra. Intended as a text for undergraduate students of mathematics, science and engineering with a knowledge of set theory, it discusses the concepts that are constantly used by scientists and engineers. It also lays the foundation for the language and framework for modern analysis and its applications. .Divided into seven chapters, it discusses vector spaces, linear transformations, best approximation in inner product spaces, eigenvalues and eigenvectors, block diagonalisation, triangularisation, Jordan form, singular value decomposition, polar decomposition, and many more topics that are relevant to applications. The topics chosen have become well-established over the years and are still very much in use. The approach is both geometric and algebraic. It avoids distraction from the main theme by deferring the exercises to theend of each section. These exercises aim at reinforcing the learned concepts rather than as exposing readers to the tricks involved in the computation. Problems included at the end of each chapter are relatively a
出版日期Textbook 2018
关键词Vector Spaces; Linear Transformations; Elementary Operations; Inner Product Spaces; Eigenvalues; Block Di
版次1
doihttps://doi.org/10.1007/978-981-13-0926-7
isbn_softcover978-981-13-4533-3
isbn_ebook978-981-13-0926-7
copyrightSpringer Nature Singapore Pte Ltd. 2018
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Inner Product Spaces,In Chap. 1 we defined a vector space as an abstraction of the familiar Euclidean space. In doing so, we took into account only two aspects of the set of vectors in a plane, namely the vector addition and scalar multiplication. Now, we consider the third aspect, namely the . between vectors.
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Spectral Representation,Recall that if . is a linear operator on a finite dimensional inner product space ., then there exists a unique linear operator ., called the adjoint of ., which satisfies
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