Abstract
A normed space X is said to be a Banach space if its metric topology is complete. This means that every Cauchy sequence x i in X admits a limit in X: there exists a point x∈ X such that ∥ x i −x ∥→ 0. Informally, the reader may understand the absence of such a point x as meaning that the space has a hole where x should be. For purposes of minimization, one of our principal themes, it is clear that the existence of minimizers is imperiled by such voids. The existence of solutions to minimization problems is not the only compelling reason, however, to require the completeness of a normed space, as we shall see. The property is essential in making available to us certain basic tools developed in this chapter, such as uniform boundedness, minimization principles, and weak compactness.
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Notes
- 1.
This in contrast to the purely metric case, in which completeness depends on the choice of metric, even among those inducing the same topology.
- 2.
See for example Royden [36].
- 3.
We have in mind: Theorem. Let (E,d) be a complete metric space, and F n a sequence of closed subsets of E such that int { ⋃ n F n } ≠ ∅. Then there exists N such that int F N ≠ ∅.
- 4.
The other two are: every convergent sequence of functions is nearly uniformly convergent, and every measurable set is nearly a finite union of intervals.
- 5.
Prop. 4.6 established the nonemptiness of the subdifferential at points of continuity.
References
H. L. Royden. Real Analysis. Macmillan, London, 1968.
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Clarke, F. (2013). Banach spaces. In: Functional Analysis, Calculus of Variations and Optimal Control. Graduate Texts in Mathematics, vol 264. Springer, London. https://doi.org/10.1007/978-1-4471-4820-3_5
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DOI: https://doi.org/10.1007/978-1-4471-4820-3_5
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