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Scalar-Valued Functions of Two Variables

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Book cover Analysis for Computer Scientists

Part of the book series: Undergraduate Topics in Computer Science ((UTICS))

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Abstract

This chapter is devoted to differential calculus of functions of two variables. In particular we will study geometrical objects such as tangents and tangent planes, maxima and minima, as well as linear and quadratic approximations. The restriction to two variables has been made for simplicity of presentation. All ideas in this and the next chapter can easily be extended (although with slightly more notational effort) to the case of n variables.

We begin by studying the graph of a function with the help of vertical cuts and level sets. As a further tool we introduce partial derivatives, which describe the rate of change of the function in the direction of the coordinate axes. Finally, the notion of the Fréchet derivative allows us to define the tangent plane to the graph. As for functions of one variable, the Taylor formula plays a central role. We use it, e.g., to determine extrema of functions of two variables.

Details of vector and matrix algebra used in this chapter can be found in Appendices A and B.

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Notes

  1. 1.

    H.A. Schwarz, 1843–1921.

  2. 2.

    M. Fréchet, 1878–1973.

  3. 3.

    C.G.J. Jacobi, 1804–1851.

  4. 4.

    L.O. Hesse, 1811–1874.

References

Textbooks

  1. S. Lang: Undergraduate Analysis. Springer, New York 1983.

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  2. M.H. Protter, C.B. Morrey: A First Course in Real Analysis. Springer, New York 1991 (2nd edition).

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Correspondence to Michael Oberguggenberger .

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© 2011 Springer-Verlag London Limited

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Oberguggenberger, M., Ostermann, A. (2011). Scalar-Valued Functions of Two Variables. In: Analysis for Computer Scientists. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-0-85729-446-3_15

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  • DOI: https://doi.org/10.1007/978-0-85729-446-3_15

  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-445-6

  • Online ISBN: 978-0-85729-446-3

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