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NURBS quotient spaces transfer numerator H1 approximation
Statement
Assume Countable Choice. Let be an admissible NURBS map and its continuous denominator, with and cellwise . Let be real-valued and let be a real numerator spline; assume both are up to the boundary of each cell in the common refinement of the geometry and analysis knot grids, with matching traces, and put . Then the physical rational spline belongs to and where . This result transfers a specified numerator approximation bound; it does not assert a polynomial-degree-independent rate or a general rate for arbitrary knot families.
Facts & Assumptions
Given: Countable Choice; the admissible patch map , continuous positive denominator , real-valued parameter function , real numerator spline , and matching cell traces of the Statement.
The Axiom of Countable Choice () is the exact choice assumption of the mapped H1 supplier [F2]. The local finite-cell quotient estimate requires no stronger axiom.
Positive weights give a bounded partition-of-unity NURBS basis: , is essentially bounded on the finite cells, and .
Bi-Lipschitz NURBS maps preserve H1 and energy norms: norms on and are equivalent with the stated map constants.
Matching NURBS patch traces give global H1 conformity: a piecewise function with matching traces and square-integrable cell gradients belongs to global .
Proof
Work on the finite common refinement and set . The continuous positive denominator is polynomial on each geometry cell, so , , , and are continuous and C1 up to each refined cell boundary. Their classical cell gradients are square integrable on this finite partition; [F3] therefore puts them in H1 with these weak gradients. On each cell, . Since , the cellwise quotient rule gives Taking the norm and using the triangle inequality yields .
The traces of match because the traces of , , and match and is positive. Its cell gradients are square integrable by step 1.1, so [F3] gives . By [A1], [F2] maps to . Applying its inverse-map estimate to gives This is the claimed estimate, with all constants retaining the map and weight dependence.
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Sources
- Stefan Takacs, Numerical Analysis of Isogeometric Methods, complete JKU lecture notes, 2018/19 (standard reference, not scraped)
- Annalisa Buffa, Gregor Gantner, Carlotta Giannelli, Dirk Praetorius, Rafael Vázquez, Mathematical Foundations of Adaptive Isogeometric Analysis, Archives of Computational Methods in Engineering 29 (2022) (standard reference, not scraped)