Nonlinear stationary subdivision schemes that reproduce trigonometric functions
Rosa Donat, Sergio López-Ureña
TL;DR
This work tackles reproducing conic sections with a single nonlinear, interpolatory, stationary subdivision scheme. By leveraging orthogonal rules for exponential-polynomial spaces and introducing a bounded cut-off function $\Gamma_\epsilon$, the authors construct $S_\epsilon$ to reproduce $\Pi_2$ and $W_{0,\gamma}$ for all admissible $\gamma$ without gamma-dependent rules. They prove convergence, monotonicity preservation, and, under a mild condition, $C^1$ regularity, while demonstrating strong numerical reproduction of circles, ellipses, and hyperbolas and a fourth-order one-step approximation in monotone regions. The results offer a simple, robust approach to conic reproduction in geometric modeling with potential extensions to higher dimensions and bivariate settings.
Abstract
In this paper we define a family of nonlinear, stationary, interpolatory subdivision schemes with the capability of reproducing conic shapes including polynomials upto second order. Linear, non-stationary, subdivision schemes do also achieve this goal, but different conic sections require different refinement rules to guarantee exact reproduction. On the other hand, with our construction, exact reproduction of different conic shapes can be achieved using exactly the same nonlinear scheme. Convergence, stability, approximation and shape preservation properties of the new schemes are analyzed. In addition, the conditions to obtain $\mathcal{C}^1$ limit functions are also studied.
