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Matrices and Matrix Operations

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Abstract

In order to introduce the main ideas of Linear Algebra, we first study matrix algebra. So, the first thing we begin with is the following simple linear equation:

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Notes

  1. 1.

    See Chap. 6 for the definition of matrices through linear transformations.

  2. 2.

    The size of a matrix is described in terms of the rows and columns it contains.

  3. 3.

    This binary operation is defined from \(\mathcal{M}_{m\times n}(\mathbb{K}) \times \mathcal{ M}_{m\times n}(\mathbb{K}) \rightarrow \mathcal{ M}_{m\times n}(\mathbb{K})\) and takes (A, B) from \(\mathcal{M}_{m\times n}(\mathbb{K}) \times \mathcal{ M}_{m\times n}(\mathbb{K})\) to A + B in \(\mathcal{M}_{m\times n}(\mathbb{K})\).

  4. 4.

    Named after the Norwegian mathematician Niels Henrik Abel.

  5. 5.

    As we will see later, the number a + d is called the trace of A, the number adbc is called the determinant of A, and the polynomial p(λ) = λ 2 − (a + d)λ + (adbc) is called the characteristic polynomial of A. See Definition 7.3.2.

References

  1. H. Anton, C. Rorres, Elementary Linear Algebra: with Supplemental Applications, 11th edn. (Wiley, Hoboken, 2011)

    MATH  Google Scholar 

  2. M. Artin, Algebra, 2nd edn. (Pearson, Boston, 2011)

    MATH  Google Scholar 

  3. S. Axler, Linear Algebra Done Right. Undergraduate Texts in Mathematics, 2nd edn. (Springer, New York, 1997)

    Google Scholar 

  4. E.F. Beckenbach, R. Bellman, Inequalities, vol. 30 (Springer, New York, 1965)

    Book  MATH  Google Scholar 

  5. F. Boschet, B. Calvo, A. Calvo, J. Doyen, Exercices d’algèbre, 1er cycle scientifique, 1er année (Librairie Armand Colin, Paris, 1971)

    Google Scholar 

  6. L. Brand, Eigenvalues of a matrix of rank k. Am. Math. Mon. 77(1), 62 (1970)

    Google Scholar 

  7. G.T. Gilbert, Positive definite matrices and Sylvester’s criterion. Am. Math. Mon. 98(1), 44–46 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  8. R. Godement, Algebra (Houghton Mifflin Co., Boston, MA, 1968)

    MATH  Google Scholar 

  9. J. Grifone, Algèbre linéaire, 4th edn. (Cépaduès–éditions, Toulouse, 2011)

    MATH  Google Scholar 

  10. G.N. Hile, Entire solutions of linear elliptic equations with Laplacian principal part. Pac. J. Math 62, 127–140 (1976)

    Article  MathSciNet  MATH  Google Scholar 

  11. R.A. Horn, C.R. Johnson, Matrix Analysis, 2nd edn. (Cambridge University Press, Cambridge, 2013)

    MATH  Google Scholar 

  12. D. Kalman, J.E. White, Polynomial equations and circulant matrices. Am. Math. Mon. 108(9), 821–840 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  13. P. Lancaster, M. Tismenetsky, The Theory of Matrices, 2nd edn. (Academic Press, Orlando, FL, 1985)

    MATH  Google Scholar 

  14. S. Lang, Linear Algebra. Undergraduate Texts in Mathematics, 3rd edn. (Springer, New York, 1987)

    Google Scholar 

  15. L. Lesieur, R. Temam, J. Lefebvre, Compléments d’algèbre linéaire (Librairie Armand Colin, Paris, 1978)

    MATH  Google Scholar 

  16. H. Liebeck, A proof of the equality of column and row rank of a matrix. Am. Math. Mon. 73(10), 1114 (1966)

    Google Scholar 

  17. C.D. Meyer, Matrix Analysis and Applied Linear Algebra (SIAM, Philadelphia, PA, 2000)

    Book  Google Scholar 

  18. D.S. Mitrinović, J.E. Pečarić, A.M. Fink, Classical and New Inequalities in Analysis. Mathematics and Its Applications (East European Series), vol. 61 (Kluwer Academic, Dordrecht, 1993)

    Google Scholar 

  19. C. Moler, C. Van Loan, Nineteen dubious ways to compute the exponential of a matrix, twenty-five years later. SIAM Rev. 45(1), 3–49 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  20. J.M. Monier, Algèbre et géométrie, PC-PST-PT, 5th edn. (Dunod, Paris, 2007)

    Google Scholar 

  21. P.J. Olver, Lecture notes on numerical analysis, http://www.math.umn.edu/~olver/num.html. Accessed Sept 2016

  22. F. Pécastaings, Chemins vers l’algèbre, Tome 2 (Vuibert, Paris, 1986)

    Google Scholar 

  23. M. Queysanne, Algebre, 13th edn. (Librairie Armand Colin, Paris, 1964)

    MATH  Google Scholar 

  24. J. Rivaud, Algèbre linéaire, Tome 1, 2nd edn. (Vuibert, Paris, 1982)

    MATH  Google Scholar 

  25. S. Roman, Advanced Linear Algebra. Graduate Texts in Mathematics, vol. 135 (Springer, New York, 2008)

    Google Scholar 

  26. H. Roudier, Algèbre linéaire: cours et exercices, 3rd edn. (Vuibert, Paris, 2008)

    MATH  Google Scholar 

  27. B. Said-Houari, Differential Equations: Methods and Applications. Compact Textbook in Mathematics (Springer, Cham, 2015)

    Google Scholar 

  28. D. Serre, Matrices. Theory and Applications. Graduate Texts in Mathematics, vol. 216, 2nd edn. (Springer, New York, 2010)

    Google Scholar 

  29. G. Strang, Linear Algebra and Its Applications, 3rd edn. (Harcourt Brace Jovanovich, San Diego, 1988)

    MATH  Google Scholar 

  30. V. Sundarapandian, Numerical Linear Algebra (PHI Learning Pvt. Ltd., New Delhi, 2008)

    MATH  Google Scholar 

  31. H. Valiaho, An elementary approach to the Jordan form of a matrix. Am. Math. Mon. 93(9), 711–714 (1986)

    Article  MathSciNet  MATH  Google Scholar 

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Said-Houari, B. (2017). Matrices and Matrix Operations. In: Linear Algebra. Compact Textbooks in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-63793-8_1

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