A new perspective on hierarchical spline spaces for adaptivity

TL;DR

This paper presents a new hierarchical spline space framework that simplifies adaptive isogeometric methods by ensuring linear independence and controlled basis overlapping, with bounded complexity of refined bases.

Contribution

It introduces a hierarchical spline space framework based on parent-children relations, facilitating analysis and implementation of adaptive methods with controlled basis complexity.

Findings

Framework guarantees linear independence of basis functions.

Control on basis overlapping is achieved, aiding theoretical proofs.

Refinement procedures keep basis complexity bounded.

Abstract

We introduce a framework for spline spaces of hierarchical type, based on a parent-children relation, which is very convenient for the analysis as well as the implementation of adaptive isogeometric methods. Such framework makes it simple to create hierarchical \emph{basis} with \emph{control on the overlapping}. Linear independence is always desired for the well posedness of the linear systems, and to avoid redundancy. The control on the overlapping of basis functions from different levels is necessary to close theoretical arguments in the proofs of optimality of adaptive methods. In order to guarantee linear independence, and to control the overlapping of the basis functions, some basis functions additional to those initially marked must be refined. However, with our framework and refinement procedures, the complexity of the resulting bases is under control, i.e., the resulting bases have cardinality bounded by the number of initially marked functions.