Skip to main content

Elements of Linear Algebra

  • Chapter
  • First Online:
  • 2944 Accesses

Abstract

In this chapter the fundamental concepts of linear algebra are exposed. More precisely, we introduce vector spaces, bases and contravariant components of a vector relative to a base, together with their transformation formulae on varying the basis. Then, Euclidean vector spaces and some fundamental operations in these spaces are analyzed: vector product, mixed product, etc. The elementary definition of n-tensors is given together with elements of tensor algebra. The problem of eigenvalues of symmetric 2-tensor and orthogonal 2-tensors is widely discussed and Cauchy’s polar decomposition theorem is proved. Finally, the Euclidean point spaces are introduced. The last sections contain exercises and detailed descriptions of some packages written with Mathematica® [69], which allows the user to solve by computer many of the problems considered in this chapter.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    For a more extensive study of the subjects of the first two chapters, see [28, 38, 52], [51].

  2. 2.

    It is easy to verify, by using considerations similar to those used at the end of the previous section, that the independence of the vectors \((\mathbf{e}_{i}^{{\prime}})\) is equivalent to requiring that \(\det (A_{j}^{i})\neq 0.\)

  3. 3.

    Equation (1.110) is a direct consequence of (1.109) and the formula

    $$\displaystyle{\mathbf{M}_{O} = \mathbf{M}_{P} + (P - O) \times \mathbf{R}\qquad \forall O,P \in \mathfrak{R}^{3}.}$$
  4. 4.

    Due to space limitations, the graphic output is not displayed in the text.

References

  1. A. Lichnerowicz, Algèbra et Analyse Linéaires (Masson Paris, 1947)

    Google Scholar 

  2. G. Mostov, J. Sampson, J. Meyer, Fundamental Structures of Algebra (Mcgraw-Hill, 1963)

    Google Scholar 

  3. A. Romano, Elementi di Algebra Lineare e Geometria Differenziale, Liguori Editore Napoli, (1996)

    Google Scholar 

  4. A. Romano, Meccanica Razionale con Elementi di Meccanica Statistica (Liguori Editore Napoli, 1996)

    Google Scholar 

  5. C. Tolotti, Lezioni di Meccanica Razionale (Liguori Editore Napoli, 1965)

    Google Scholar 

  6. S. Wolfram, Mathematica ®. A System for Doing Mathematics by Computer (Addison-Wesley Redwood City, California, 1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this chapter

Cite this chapter

Romano, A., Marasco, A. (2014). Elements of Linear Algebra. In: Continuum Mechanics using Mathematica®. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser, New York, NY. https://doi.org/10.1007/978-1-4939-1604-7_1

Download citation

Publish with us

Policies and ethics