
doi: 10.1007/bf02835236
The author provides several results on characterization of elements of best approximation by a linear subspace \(G\) in a real metric space \(X\) with translation-invariant metric \(d\). Let \(\emptyset\neq G\subset X\), \(x\in X\setminus G\), \(g_0\in G\). Then \(g_0\) is an element of best approximation for \(x\) if and only if there exists \(f\in X_0^\#\) such that (i) \(\|f\|_d=1\); (ii) \(f(g)=0\) for all \(g\in G\); (iii) \(f(x-g_0)= f(x)=d(x,g_0)\). Here \(X_0^\#= \{f:X\to \mathbb{R}:\|f\|_d< \infty\), \(f(0)=0\), \(f\) subadditive\}, a Lipschitz dual of \(X\). Furthermore, simultaneous characterization of best approximations and elements of \(\varepsilon\)-approximation are also considered.
Best approximation, Chebyshev systems, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), Lipschitz dual, Simultaneous approximation, characterization of elements of best approximation, metric linear space, best approximation, \(\varepsilon\)-approximation
Best approximation, Chebyshev systems, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), Lipschitz dual, Simultaneous approximation, characterization of elements of best approximation, metric linear space, best approximation, \(\varepsilon\)-approximation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
