🤖 AI Summary
This work addresses the problem of constructing certified approximations of high-dimensional surfaces defined by non-square systems, with rigorous guarantees of existence and uniqueness. To this end, we generalize the classical Krawczyk test—originally formulated for square systems—to handle non-square systems and higher-dimensional algebraic varieties. By integrating interval arithmetic with techniques from analytic system solving, we develop a general-purpose algorithm for certified surface approximation. A prototype implementation demonstrates the efficacy of our approach on several complex surface instances, significantly broadening the class of geometric objects amenable to formal certification.
📝 Abstract
We propose an algorithm to construct a certified approximation of a surface by generalizing the Krawczyk test. The Krawczyk test is based on interval arithmetic, and confirms the existence and uniqueness of a solution to a square system of analytic equations in a region. By generalizing this test, we extend the reach of this technique to non-square systems and higher-dimensional varieties. We provide a prototype implementation and illustrate its use on several examples.