Splines minimizing rotation-invariant semi-norms in Sobolev spaces
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We define a family of semi-norms ‖μ‖m,s=(∫ℝ n∣τ∣2s∣ℱ Dmu(τ)∣2 dτ)1/2 Minimizing such semi-norms, subject to some interpolating conditions, leads to functions of very simple forms, providing interpolation methods that: 1°) preserve polynomials of degree≤m−1; 2°) commute with similarities as well as translations and rotations of ℝn; and 3°) converge in Sobolev spaces Hm+s(Ω).
Typical examples of such splines are: "thin plate" functions ( Open image in new window with Σ λa=0, Σ λa a=0), "multi-conic" functions (Σ λa|t−a|+C with Σ λa=0), pseudo-cubic splines (Σ λa|t−a|3+α.t+β with Σ λa=0, Σ λa a=0), as well as usual polynomial splines in one dimension. In general, data functionals are only supposed to be distributions with compact supports, belonging to H−m−s(ℝn); there may be infinitely many of them. Splines are then expressed as convolutions μ Open image in new window |t|2m+2s−n (or μ Open image in new window |t|2m+2s−n Log |t|) + polynomials.
KeywordsSobolev Space Thin Plate Countable Family Surface Spline Closed Linear Subspace
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