
Let \(M\) be an \(n\)-dimensional subspace of the normed space \(X\) and \(\{\varphi_1, \dots, \varphi_m\} \subseteq X^*\) be a given set of \(m\leq n\) linearly independent continuous functionals. For \(x\in X\), let \[ M(x)= \{y\in M: \varphi_i (y)= \varphi_i (x),\;i=1, 2, \dots, m\} \] be the set of elements in \(M\) interpolating \(x\), relative to the set \(\{\varphi_1, \dots, \varphi_m\}\). An element \(x_0\in M(x)\) is said to be a best approximation to \(x\) from \(M(x)\) (or with interpolatory constraints) if \(|x-x_0 |= d(x,M(x))\), i.e. \(x\in P_{M(x)} (x)\). The authors give a characterization of best approximation elements to \(x\) from \(M(x)\). This ``parametric approximation'' problem is reduced to another one more usual involving the fixed subspace \(M(0)\) of \(M\). More detailed results are obtained when \(X\) is a Hilbert space or when \(X\) is a normed space and \(M\) is a finite-dimensional interpolating subspace of \(X\) as it was defined in \textit{D. A. Ault}, \textit{F. R. Deutsch}, \textit{P. D. Morris}, \textit{J. E. Olson} [J. Approximation Theory 3, 164-182 (1970; Zbl 0193.09103)]. The pointwise Lipschitz continuity of the metric projection \(P_{M( \cdot)} (\cdot)\) is also proved.
Best approximation, Chebyshev systems, Mathematics(all), Numerical Analysis, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), Applied Mathematics, periodic approximation, best approximation with interpolatory constraints, Analysis
Best approximation, Chebyshev systems, Mathematics(all), Numerical Analysis, Abstract approximation theory (approximation in normed linear spaces and other abstract spaces), Applied Mathematics, periodic approximation, best approximation with interpolatory constraints, Analysis
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