Elementary Linear Algebra, Fourth Edition by Stephen Andrilli, David Hecker

By Stephen Andrilli, David Hecker

Straightforward Linear Algebra develops and explains in cautious aspect the computational concepts and primary theoretical effects primary to a primary direction in linear algebra. This hugely acclaimed textual content specializes in constructing the summary considering crucial for additional mathematical research. The authors supply early, extensive awareness to the talents essential to make scholars happy with mathematical proofs. The textual content builds a gentle and tender transition from computational effects to normal concept of summary vector areas. It additionally offers flexbile assurance of sensible functions, exploring a accomplished diversity of subject matters. Ancillary checklist: * Maple Algorithmic checking out- Maple TA- www.maplesoft.com * better half web site- http://www.elsevierdirect.com/product.jsp?isbn=9780123747518 * Online teachers guide- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123747518 * e-book- http://www.elsevierdirect.com/product.jsp?isbn=9780123747518 * on-line scholar recommendations handbook- http://www.elsevierdirect.com/product.jsp?isbn=9780123747518Includes a large choice of functions, expertise suggestions and routines, geared up in chart structure for simple referenceMore than 310 numbered examples within the textual content no less than one for every new suggestion or applicationExercise units ordered by means of expanding trouble, many with a number of elements for a complete of greater than 2135 questionsProvides an early advent to eigenvalues/eigenvectorsA scholar strategies guide, containing absolutely labored out suggestions and teachers guide to be had

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Extra info for Elementary Linear Algebra, Fourth Edition

Example text

In general, in Rn the standard unit vectors e1 ϭ [1, 0, 0, . . , 0], e2 ϭ [0, 1, 0, . . , 0], . . , en ϭ [0, 0, 0, . . , 1] form a mutually orthogonal set of vectors. The next theorem gives an alternative way of describing parallel vectors in terms of the angle between them. 3 (see Result 4), and the proof of the other case is similar. 9 Let x and y be nonzero vectors in Rn . Then x and y are parallel if and only if x · y ϭ Ϯ x y (that is, cos ␪ ϭ Ϯ1, where ␪ is the angle between x and y). Example 5 Let x ϭ [8, Ϫ20, 4] and y ϭ [6, Ϫ15, 3].

Therefore, A is true exactly when B is true. 9. Result 4 Let x and y be nonzero vectors in Rn . Then x · y ϭ x is a positive scalar multiple of x. y if and only if y In an “if and only if” proof, it is usually good to begin by stating the two halves of the “if and only if” statement. This gives a clearer picture of what is given and what must be proved in each half. In Result 4, the two halves are 1. Suppose that y ϭ cx for some positive c ∈ R. Prove that x · y ϭ x 2. Suppose that x · y ϭ x y .

13. At a certain green on a golf course, a golfer takes three putts to sink the ball. 2 m northwest, what single putt (expressed as a vector) would have had the same final result? 14. (a) Show that every unit vector in R2 is of the form [cos(␪1 ), cos(␪2 )], where ␪1 is the angle the vector makes with the positive x-axis and ␪2 is the angle the vector makes with the positive y-axis. (b) Show that every unit vector in R3 is of the form [cos(␣1 ), cos(␣2 ), cos(␣3 )], where ␣1 , ␣2 , and ␣3 are the angles the vector makes with the positive x-, y-, and z-axes, respectively.

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