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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Data oscillation reduction under three-generation refinement
Statement
Assume Countable Choice for the projection convention.
Suppose the three-generation marked refinement call completes and returns , and let . For a Dörfler set with parameter ,
Facts & Assumptions
Countable Choice is assumed in the cited Sobolev and reference-simplex suppliers (The Axiom of Countable Choice ()).
Given: Countable Choice, , nested matching cells, P0 projections, and a three-generation refinement of every .
Three generations give each descendant of a marked parent diameter at most half its diameter (Shape regularity and local reduction under 2D newest-vertex bisection).
The Dörfler set satisfies by its construction (Dorfler marking and conforming newest-vertex refinement).
Proof
For each parent , let range over its descendants in , including if it is unrefined. Nestedness of the piecewise-constant spaces gives Indeed, the childwise projection space contains the parent constant space, and the orthogonal projection minimizes squared error. If , the completed call supplies three generations, so [F1] gives and the sum of descendant oscillations is at most one quarter of the parent oscillation. For every other parent, containment gives , so its descendant oscillations sum to at most its original contribution. An unrefined cell retains its contribution exactly.
Summing step 1.1 over refined parents gives Apply the bulk inequality [F2] to obtain the stated . If all oscillations vanish, both sides are zero and the same inequality holds.
Depends on
Used by
Dependency tree · two levels
17 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Bonito, Canuto, Nochetto & Veeser, Adaptive Finite Element Methods (2024) (standard reference, not scraped)
- Ricardo H. Nochetto, Adaptive Finite Element Methods, Lecture 2 (standard reference, not scraped)