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Linear Algebra: Volume 2: An Introduction with Concurrent Examples (v. 2) 1st Edition

4 out of 5 stars 1 customer review
ISBN-13: 978-0521310420
ISBN-10: 0521310423
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Editorial Reviews

Review

'The book is clearly directed at students who have had little or no experience of solving linear equations at school. Moreover, it is intended for people who do not find learning mathematics easy. There are no short cuts, or bribes in the form of interesting applications, but the student who is motivated to learn about systems of linear equations, and willing to work through the exercises, will have an excellent opportunity to acquire proficiency and understanding.' The Times Higher Education Supplement

Book Description

Emphasis is placed on applications in preference to more theoretical aspects throughout this readable introduction to linear algebra for specialists as well as non-specialists. An expanded version of A First Course in Linear Algebra.
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Product Details

  • Paperback: 340 pages
  • Publisher: Cambridge University Press; 1 edition (February 23, 1990)
  • Language: English
  • ISBN-10: 0521310423
  • ISBN-13: 978-0521310420
  • Product Dimensions: 6 x 0.8 x 9 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #4,395,821 in Books (See Top 100 in Books)

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Format: Paperback
This is a good, straightforward introduction to linear algebra. The "concurrent examples" approach works well. My main concern is that the geometric aspects of the subject are somewhat slighted. Geometry is treated very briefly (e.g., despite the emphasis on worked examples, there is not a single numerical example of a determination of the distance from a line to a point or from a plane to a point) and quite clumsily (e.g., using the cosine formula to prove a.b=|a||b|cos(theta), p. 108). This hampers the exposition later. For example, Gram--Schmidt is introduced only towards the end where it is prompted by the orthonormal eigenvector-matrix approach to diagonalisation of symmetric matrices, thus belittling its geometric importance. Also, it seems odd to have such an intricate discussion of diagonalisation without ever mentioning its use in finding A^n.
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Linear Algebra: Volume 2: An Introduction with Concurrent Examples (v. 2)
This item: Linear Algebra: Volume 2: An Introduction with Concurrent Examples (v. 2)
Price: $89.99
Ships from and sold by Amazon.com