2000
DOI: 10.1006/jath.1999.3439
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Semi-Lipschitz Functions and Best Approximation in Quasi-Metric Spaces

Abstract: We show that the set of semi-Lipschitz functions, defined on a quasi-metric space (X, d ), that vanish at a fixed point x 0 # X can be endowed with the structure of a quasi-normed semilinear space. This provides an appropriate setting in which to characterize both the points of best approximation and the semi-Chebyshev subsets of quasi-metric spaces. We also show that this space is bicomplete. AcademicPress

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Cited by 67 publications
(62 citation statements)
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“…We start this section giving the definitions of a quasi-norm and of a quasinormed space in the sense of [5], [6] and [21] (see [4] for the related notion of a nonsymmetric norm).…”
Section: Bibanach Function Spacesmentioning
confidence: 99%
“…We start this section giving the definitions of a quasi-norm and of a quasinormed space in the sense of [5], [6] and [21] (see [4] for the related notion of a nonsymmetric norm).…”
Section: Bibanach Function Spacesmentioning
confidence: 99%
“…In the last years the study of real-valued semi-Lipschitz functions dened on a T 0 quasi-pseudo-metric space has received a certain attention [11,12,16,18]. In particular, it was shown in [16] that the set of realvalued semi-Lipschitz functions dened on a T 0 quasi-pseudo-metric space (X, d) that vanish at a point x 0 ∈ X can be structured as a normed cone.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, it was shown in [16] that the set of realvalued semi-Lipschitz functions dened on a T 0 quasi-pseudo-metric space (X, d) that vanish at a point x 0 ∈ X can be structured as a normed cone. Applications of semi-Lipschitz functions to questions on best approximation, global attractors on dynamical systems, and concentration of measure can be found in [13,16], [17] and [22], respectively.…”
Section: Introductionmentioning
confidence: 99%
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“…The arguments will derive, in general, from Measure Theory and they will provide the convergence of certain sequences of functions. As an example we mention that the subset of non decreasing functions in the Orlicz space L φ (0, 1) is proximinal in the sense that for each function f ∈ L φ (0, 1) there is a non decreasing function g ∈ L φ (0, 1) that minimizes the gap function Another interesting situation is when X is quasi-metric space (see for example [21], where a characterization of best approximation result is proved in this context).…”
Section: Introductionmentioning
confidence: 99%