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A first course in linear algebra, with concurrent examples - download pdf or read online

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By Alan G. Hamilton

ISBN-10: 0521310415

ISBN-13: 9780521310413

ISBN-10: 0521325161

ISBN-13: 9780521325165

It is a brief, readable creation to simple linear algebra, as frequently encountered in a primary path. the improvement of the topic is built-in with quite a few labored examples that illustrate the information and strategies. The layout of the e-book, with textual content and correct examples on dealing with pages signifies that the reader can keep on with the textual content uninterrupted. the coed could be in a position to paintings throughout the e-book and study from it sequentially. rigidity is put on purposes of the equipment instead of on constructing a logical approach of theorems. quite a few routines are supplied.

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Additional resources for A first course in linear algebra, with concurrent examples

Sample text

If it is not, then you have made a mistake. What happens to our process for finding inverses if the original matrix A is not invertible? The method depended on obtaining, during the process, the matrix A' which had is on the main diagonal and Os below it. As we saw in Chapter 2, this need not always be possible. It could happen that the last row (after the GE process) consists entirely of Os. In such a case the process for finding the inverse breaks down at this point. There is no way to obtain Os in the other places in the last column.

It is convenient, therefore, to introduce the idea of multiplication of a matrix (or a vector) by a number. Notice that the definition applies for any real number, not just for integers. To multiply a matrix by a number, just multiply each entry by the number. In formal terms, if A is the p x q matrix whose (i,j)-entry is aij and if k is any number, then kA is the p x q matrix whose (i, j)-entry is kai;. 4. Multiplication of a matrix with a vector or with another matrix is more complicated. 5 provides some motivation.

Show that the inverse of the product ABC is C-'B-'A-'. 4. Let x and y be p-vectors. Show that xyT is a p x p matrix and is singular. Pick some vectors x and y at random and verify that xyT is singular. 5. Show that, for any invertible matrix A, (A-')TAT=1 and AT(A-1)T=1. Deduce that AT is invertible and that its inverse is the transpose of A Deduce also that if A is symmetric then A-' is also symmetric. 6. Let X and A be p x p matrices such that X is singular and A is invertible. Show that the products XA and AX are both singular.

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A first course in linear algebra, with concurrent examples by Alan G. Hamilton


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