An Overview on Tools from Functional Analysis

  • Matthias Augustin
  • Sarah Eberle
  • Martin Grothaus
Part of the Geosystems Mathematics book series (GSMA)


Many modern mathematical methods treat geodetic problems in terms of functions from certain spaces, proving convergence properties of such functions and regard the evaluation of such functions or their derivatives at given points as operators. In doing so, knowingly or unknowingly, they use the language of functional analysis.

This contribution aims at summarizing some fundamental concepts from functional analysis which are used throughout this book. In this way, it tries to add a layer of self-sufficiency and to act as supplement to other contributions for those readers who are not familiar with functional analytic tools. For this purpose, we introduce, among others, the general ideas of vector spaces, norms, metrics, inner products, orthogonality, completeness, Banach spaces, Hilbert spaces, functionals, linear operators, different notions of convergence. Then we show how functions can be interpreted as vectors in different kind of function spaces, e.g., spaces of continuous functions, Lebesgue spaces, or Sobolev spaces and how the more general concepts come into play here. Moreover, we have a brief glimpse at differential equations and how functional analytic tools provide the necessary background to discuss them, and at the idea of reproducing kernels and the corresponding reproducing kernel Hilbert spaces.


Functional analysis metric spaces normed spaces function spaces Sobolev spaces reproducing kernel Hilbert spaces basis systems operators convergence weak derivatives distributions partial differential equations 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Matthias Augustin
    • 1
  • Sarah Eberle
    • 2
  • Martin Grothaus
    • 3
  1. 1.Mathematical Image Analysis Group, Fakultät 6Saarland UniversitySaarbrückenGermany
  2. 2.Numerical Analysis Group, Mathematical InstituteUniversity of TübingenTübingenGermany
  3. 3.Functional Analysis and Stochastic Analysis Group, Fachbereich MathematikUniversity of KaiserslauternKaiserslauternGermany

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