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Part of the book series: Springer Tracts in Mechanical Engineering ((STME))

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Abstract

The first chapter introduces the fundamental concepts and conclusions of functional analysis so that readers can have a foundation for going on reading this book successfully and can also understand notations used in the book. The arrangement of this chapter is as follows: The first section deals with normed linear spaces and inner product spaces which both provide a platform for further investigation; the second section introduces convex sets, and the third section considers convex functions; the last section of this chapter introduces semi-continuous functions. These are all necessary for research of set-valued mappings and differential inclusions which are two key concepts in this book.

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Notes

  1. 1.

    At the notation \( C\left(\left[a,b\right],\kern0.5em \mathbb{R}\right) \), C means continuous, [a,b] is the domain and \(\mathbb{R} \) is the range. \( C\left(\left[a,b\right], \mathbb{R}^{n}\right) \) has a similar meaning.

  2. 2.

    The integration is always in the meaning of Lebesgue integration if we do not give an illustration.

  3. 3.

    The inner product can be defined as \( X\times X\to \mathbb{C} \). But in this book, we mainly consider the inner product in \( \mathbb{R} \).

  4. 4.

    If \( {x}_1={x}_2 \), \( x={x}_1+\lambda \left({x}_2-{x}_1\right)\equiv {x}_1 \). The line degenerates to a point. In this book we do not consider the special case.

  5. 5.

    The reader should divide the notation \( {A}_1\cup {A}_2 \) from \( {A}_1+{A}_2 \).

  6. 6.

    It is possible that {x 1 n } and {x 2 n } are constant sequences.

  7. 7.

    The requirement is equivalent to \( {x}_3\notin \left\{x;x=\left(1-\lambda \right){x}_1+\lambda {x}_2,\lambda \in \mathbb{R}\right\} \).

  8. 8.

    By adding zeros, we can require that x and y are yielded by the same \( {x}_{n_i} \)’s.

  9. 9.

    In general, the gradient is a row vector, but we consider \( \nabla f \) to be a column vector for unification.

  10. 10.

    A matrix M > 0 means that the matrix is symmetric and positive definite. \( M\ge 0 \) means it is semi-positive definite.

  11. 11.

    The reader should understand the meaning of the notation Df(x 0)(Ï…). It is emphasized that in Df(x 0)(Ï…) \( {x}_0\in {\mathbb{R}}^n \) is treated as a parameter, Ï… \( \in {\mathbb{R}}^n \) is the argument, \( {\partial}_{\upsilon } \) is the subdifferential related to the argument Ï….

  12. 12.

    The notation \( \underset{x\to {x}_0}{ \lim\;\sup }f(x) \) should be understood as follows. Let δ be a small positive real number, and \( a\left(\delta \right)=\underset{x\in B\left({x}_0,\delta \right)}{ \sup }f(x) \). Then a(δ) is a monotonously decreasing function with the decreasing of δ. Hence, the limitation \( \underset{\delta \downarrow 0}{ \lim }a\left(\delta \right) \) exists. Then \( \underset{x\to {x}_0}{ \lim\;\sup }f(x)=\underset{\delta \downarrow 0}{ \lim }a\left(\delta \right)=\underset{\delta \downarrow 0}{ \inf}\underset{x\in B\left({x}_0,\delta \right)}{ \sup}\;f(x) \). The meaning of \( \underset{x\to {x}_0}{ \lim\;\inf }f(x) \) is similar.

  13. 13.

    If f(x k ) is not convergent, then we can consider a subsequence \( \left\{{x}_{k_j}\right\} \) such that \( f\left({x}_{k_j}\right) \) is convergent. Hence for simplicity, we assume directly the sequence f(x k ) is convergent. The skill will be used frequently and we shall not give any explanation below.

  14. 14.

    Recall that a function is normal if its effective domain is nonempty.

  15. 15.

    The argument of \( {f}^{\ast}\left({x}^{\ast}\right) \) is \( {x}^{\ast } \), it is independent the x in f(x).

  16. 16.

    Here we denote x for \( {x}^{\ast \ast } \).

References

  • Conway JB (1985) A course in functional analysis [M]. Springer, New York

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  • de Bruim JCA, Doris A, van de Wouw et al (2009) Control of mechanical motion systems with non-collocation of actuation and friction: a Popov criterion approach for input-to-state stability and set-valued nonlinearities [J]. Automatica 45:405–415

    Google Scholar 

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© 2016 Shanghai Jiao Tong University Press, Shanghai and Springer-Verlag Berlin Heidelberg

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Han, Z., Cai, X., Huang, J. (2016). Convex Sets and Convex Functions. In: Theory of Control Systems Described by Differential Inclusions. Springer Tracts in Mechanical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49245-1_1

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  • DOI: https://doi.org/10.1007/978-3-662-49245-1_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49243-7

  • Online ISBN: 978-3-662-49245-1

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