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Titlebook: Linear Algebra and Geometry; Igor R. Shafarevich,Alexey O. Remizov Textbook 2013 Springer-Verlag Berlin Heidelberg 2013 groups, rings, mod

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發(fā)表于 2025-3-21 17:23:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Linear Algebra and Geometry
編輯Igor R. Shafarevich,Alexey O. Remizov
視頻videohttp://file.papertrans.cn/587/586267/586267.mp4
概述Clearly written and easy to read.Contains also rather deep and not trivial subjects and theorems and can also be useful for professionals.Good introduction to the subject.Numerous examples and applica
圖書封面Titlebook: Linear Algebra and Geometry;  Igor R. Shafarevich,Alexey O. Remizov Textbook 2013 Springer-Verlag Berlin Heidelberg 2013 groups, rings, mod
描述.This book on linear algebra and geometry is based on a course given by renowned academician I.R. Shafarevich at Moscow State University. The book begins with the theory of linear algebraic equations and the basic elements of matrix theory and continues with vector spaces, linear transformations, inner product spaces, and the theory of affine and projective spaces. The book also includes some subjects that are naturally related to linear algebra but are usually not covered in such courses: exterior algebras, non-Euclidean geometry, topological properties of projective spaces, theory of quadrics (in affine and projective spaces), decomposition of finite abelian groups, and finitely generated periodic modules (similar to Jordan normal forms of linear operators). Mathematical reasoning, theorems, and concepts are illustrated with numerous examples from various fields of mathematics, including differential equations and differential geometry, as well as from mechanics and physics..
出版日期Textbook 2013
關(guān)鍵詞groups, rings, modules; linear algerba; matrix; projective space; vector space; matrix theory
版次1
doihttps://doi.org/10.1007/978-3-642-30994-6
isbn_softcover978-3-642-43409-9
isbn_ebook978-3-642-30994-6
copyrightSpringer-Verlag Berlin Heidelberg 2013
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Matrices and Determinants,gh solutions of linear algebraic systems; determinants of arbitrary order are defined inductively. The basic properties of determinants are investigated. We then take a look at determinants from a more abstract viewpoint: it is proved that the determinant of a square matrix can be defined as an anti
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Vector Spaces,omorphism, etc. are introduced and discussed. At the end of this chapter, the notions of dual vector space and forms and polynomials in vectors are considered. Most of the abstract concepts are illustrated with various examples and applications. For instance, the notion of a dual space is accompanie
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Linear Transformations of a Vector Space to Itself,mations of a complex or real vector space to itself are investigated in greater detail. In this chapter we consider the case in which a linear transformation is diagonalizable. Namely, for a complex vector space, we obtain necessary and sufficient conditions for a linear transformation to be diagona
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Quadratic and Bilinear Forms,tablished, based on the isomorphism between the space of bilinear forms and the space of linear transformations of the vector space to the dual space. A theorem on reducing a quadratic form to canonical form is proved, and the corresponding normal forms for symmetric and antisymmetric bilinear forms
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Euclidean Spaces,orthogonality, orthonormal basis, etc. Orthogonal transformations are investigated, and orientation of Euclidean spaces is discussed. After that, symmetric linear transformations of real vector spaces are investigated in greater detail; for instance, a basic property of such transformations to have
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