An Introduction to Linear AlgebraCourier Corporation, 3 déc. 2012 - 464 pages "The straight-forward clarity of the writing is admirable." — American Mathematical Monthly. This work provides an elementary and easily readable account of linear algebra, in which the exposition is sufficiently simple to make it equally useful to readers whose principal interests lie in the fields of physics or technology. The account is self-contained, and the reader is not assumed to have any previous knowledge of linear algebra. Although its accessibility makes it suitable for non-mathematicians, Professor Mirsky's book is nevertheless a systematic and rigorous development of the subject. Part I deals with determinants, vector spaces, matrices, linear equations, and the representation of linear operators by matrices. Part II begins with the introduction of the characteristic equation and goes on to discuss unitary matrices, linear groups, functions of matrices, and diagonal and triangular canonical forms. Part II is concerned with quadratic forms and related concepts. Applications to geometry are stressed throughout; and such topics as rotation, reduction of quadrics to principal axes, and classification of quadrics are treated in some detail. An account of most of the elementary inequalities arising in the theory of matrices is also included. Among the most valuable features of the book are the numerous examples and problems at the end of each chapter, carefully selected to clarify points made in the text. |
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Page iii
... complex numbers , and I define a vector as an ordered set of numbers and a matrix as a rectangular array of numbers . After the first three chapters , however , a new and more abstract point of view becomes prominent . Linear manifolds ...
... complex numbers , and I define a vector as an ordered set of numbers and a matrix as a rectangular array of numbers . After the first three chapters , however , a new and more abstract point of view becomes prominent . Linear manifolds ...
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... complex ) numbers . A typical array is a11 a12 a21 a22 ani an2 · ain a2n ann ( 1.2.1 ) The double suffix notation used in ( 1.2.1 ) is. DEFINITION 1.2.1 . The n2 numbers as ( i , j = 1 , ... , n ) are the ELEMENTS of the array ( 1.2.1 ) ...
... complex ) numbers . A typical array is a11 a12 a21 a22 ani an2 · ain a2n ann ( 1.2.1 ) The double suffix notation used in ( 1.2.1 ) is. DEFINITION 1.2.1 . The n2 numbers as ( i , j = 1 , ... , n ) are the ELEMENTS of the array ( 1.2.1 ) ...
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... integers whose highest common factor is 1 . Show ( say by induction with respect to ... complex elements , and write n A , = | arsl . 8 = 1 87r = ( i ) Show that ... numbers . Suppose that , for every value of r in the range 1 < r < n , b ...
... integers whose highest common factor is 1 . Show ( say by induction with respect to ... complex elements , and write n A , = | arsl . 8 = 1 87r = ( i ) Show that ... numbers . Suppose that , for every value of r in the range 1 < r < n , b ...
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... complex numbers is such that a11 a12 • • a1N a21 а22 a2N ani ana anN N | arr > Σars ( r = 1 , ... , n ) . 81 874 By using the idea of the proof of Theorem 1.6.5 ( p . 32 ) , show that the modulus of the determinant a11 ani ain ann is ...
... complex numbers is such that a11 a12 • • a1N a21 а22 a2N ani ana anN N | arr > Σars ( r = 1 , ... , n ) . 81 874 By using the idea of the proof of Theorem 1.6.5 ( p . 32 ) , show that the modulus of the determinant a11 ani ain ann is ...
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... numbers , which is closed with respect to the four rational operations of addition , subtraction , multiplication ... complex numbers . On the other hand , the set of integers is not a field since it is not closed with respect to ...
... numbers , which is closed with respect to the four rational operations of addition , subtraction , multiplication ... complex numbers . On the other hand , the set of integers is not a field since it is not closed with respect to ...
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A₁ algebra assertion automorphism b₁ basis bilinear form bilinear operator canonical forms characteristic roots characteristic vectors coefficients columns commute complex numbers convergent coordinates Deduce defined denote determinant diagonal form diagonal matrix dimensionality E-operations edition equal equivalence EXERCISE exists follows functions geometry given Hence hermitian form hermitian matrix identity implies inequality integers invariant space isomorphic linear equations linear manifold linear transformation linearly independent matrix group minimum polynomial multiplication non-singular linear transformation non-singular matrix non-zero numbers nxn matrix obtain orthogonal matrix positive definite positive semi-definite possesses problems proof of Theorem prove quadratic form quadric rank relation represented respect result rotation S-¹AS satisfies scalar Show similar singular skew-symmetric matrix solution square matrix suppose symmetric matrix t₁ theory tions triangular unique unit element unitary matrix values vector space view of Theorem write x₁ xTAx y₁ zero