# Linear algebra: An introductory approach by Charles W. Curtis

By Charles W. Curtis

This revised and up-to-date fourth variation designed for higher department classes in linear algebra contains the fundamental effects on vector areas over fields, determinants, the idea of a unmarried linear transformation, and internal product areas. whereas it doesn't presuppose an past direction, many connections among linear algebra and calculus are labored into the dialogue. a different function is the inclusion of sections dedicated to purposes of linear algebra, that may both be a part of a direction, or used for self sufficient learn, and new to this version is a bit on analytic tools in matrix conception, with functions to Markov chains in chance concept. Proofs of the entire major theorems are integrated, and are provided on an equivalent footing with tools for fixing numerical difficulties. labored examples are built-in into nearly each part, to convey out the which means of the theorems, and illustrate recommendations for fixing difficulties. Many numerical workouts utilize all of the rules, and improve computational abilities, whereas routines of a theoretical nature supply possibilities for college kids to find for themselves.

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Extra info for Linear algebra: An introductory approach

Example text

Ann bnn . P P Let AB  cij . Then cij  nk1 aik bkj and cii  nk1 aik bki . Suppose i > j. Then, for any k, either i > k or k > j, so that either aik  0 or bkj  0. Thus cij  0, and AB is upper triangular. Suppose i  j. Then, for k < i, we have aik  0; and, for k > i, we have bki  0. Hence cii  aii bii , as claimed. ] Lipschutz−Lipson:Schaum’s Outline of Theory and Problems of Linear Algebra, 3/e 2. Algebra of Matrices © The McGraw−Hill Companies, 2004 Text 50 ALGEBRA OF MATRICES [CHAP.

Compute AB using block multiplication, where 2 3 1 2 1 A  43 4 05 and 0 0 2  1 B  44 0 2 5 0 3 3 1 6 15 0 1    F R S and B  , where E; F; G; R; S; T are the given blocks, and 01Â2 and 01Â3 T 01Â2 G are zero matrices of the indicated sites. 35. Let M  diagA; B; C, where A  1 3   2 1 , B  5, C  4 5 Since M is block diagonal, square each block:   7 10 A2  ; B2  25; 15 22 so C2   16 40  24 ; 64 3 2 7 10 6 15 22 6 M2  6 6 4  3 . Find M 2 . 36. Let f x and gx be polynomials and let A be a square matrix.

81. 1 63 6 Let U  4 0 0 2 4 0 0 0 0 5 3 0 0 1 4 3 2 3 3 À2 0 0 0 62 4 0 07 7 6 07 7 and V  6 0 0 1 27 7. 6 25 40 0 2 À3 5 1 0 0 À4 1 (a) Find UV using block multiplication. (c) Is UV block diagonal? 82. (b) Are U and V block diagonal matrices? Partition each of the following matrices so that it becomes a square block matrix with as many diagonal blocks as possible: 2 2 1 63 6 B6 60 40 0 3 1 0 0 A  4 0 0 2 5; 0 0 3 2 2 60 M 6 40 0 0 1 2 0 0 4 1 0 2 0 0 0 0 3 0 07 7, (b) 05 3 0 0 4 5 0 0 0 0 0 0 3 0 07 7 07 7; 05 6 2 1 62 M 6 40 0 2 0 C  40 2 1 3 0 0 0 0 1 4 3 1 0 0 05 0 0 3 0 07 7.