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Optimal P1 AFEM complexity for the Laplacian
Statement
Assume the Axiom of Choice and Countable Choice used by the weak Dirichlet Poisson existence supplier. Let be a bounded polygon, a compatible shape-regular 2D NVB mesh, and solve with piecewise constant on . Run the exact P1 algorithm with three-generation refinement; assume each per-call budget suffices for every refinement through iteration . Write for the unique exact P1 Galerkin solution on , estimator bulk parameter for a fixed , as in Dorfler marking is cardinality-optimal up to mesh closure, and any fixed oscillation parameter . If from The P1 AFEM approximation class for , then where depends on the initial mesh, marking parameters and estimator constants. This is an optimal-complexity theorem only for the Laplacian and P0 initial data.
Facts & Assumptions
The Axiom of Choice and Countable Choice are used by the weak Dirichlet Poisson existence theorem (The Axiom of Choice, The Axiom of Countable Choice ()).
Given: The Axiom of Choice, Countable Choice, the symmetric Laplace weak solution, P0 initial data, compatible 2D NVB meshes, the stated approximation-class bound, and exact Galerkin solutions.
The AFEM energy and oscillation contract; here oscillation is identically zero, so the energy error contracts geometrically (Linear contraction of AFEM energy error and oscillation).
A comparison mesh reducing energy error by a fixed factor yields a Dörfler set no larger than its added-cell count (Dorfler marking is cardinality-optimal up to mesh closure).
The sum of added cells over the adaptive sequence is bounded by a constant times the sum of marked-cell counts (Termination and cumulative complexity of NVB conformity closure).
The approximation seminorm bounds the best error over every finite mesh budget (The P1 AFEM approximation class).
Under the Axiom of Choice and Countable Choice, weak Dirichlet Poisson on a bounded polygon has a unique solution for (Existence and uniqueness for the weak Dirichlet Poisson problem).
Exact conforming Galerkin solutions satisfy for every (Galerkin orthogonality for conforming approximations).
Proof
By [F5] the weak solution exists uniquely under the stated choice assumptions. Since is piecewise constant on , every descendant cell has . By [F1] there are and such that ; hence, with , for . If , then and all nested Galerkin errors vanish. Assume .
For each with , put for the fixed in the statement. By [F4], if , then : this follows directly from and . By the definition of an infimum there is a conforming comparison mesh with at most added cells and best-approximation error at most . For a symmetric Galerkin solution, [F6] and expansion of show its exact Galerkin error is the best error, so this comparison mesh reduces the Galerkin error to at most . If , the target conclusion is already true.
The comparison mesh from step 1.2 reduces the error by the factor . By [F2], the marked set therefore satisfies Here because the initial P0 data have zero oscillation, so . The actual refinement request is its edge-neighbor set , whose cardinality is at most ; [F3] already absorbs this factor in . Summing and applying [F3] gives The additive is absorbed into the right side because by [F4] at .
Geometric contraction from step 1.1 implies for . Thus the sum in step 2.1 is at most , a finite geometric series. Rearranging yields whenever the added-cell count is positive. If it is zero, [F4] at gives . Enlarging replaces the count by .
Depends on
- The P1 AFEM approximation class
- Residual indicators and data oscillation for P1 AFEM
- Compatible 2D newest-vertex-bisection meshes
- Dorfler marking and conforming newest-vertex refinement
- Termination and cumulative complexity of NVB conformity closure
- Dorfler marking is cardinality-optimal up to mesh closure
- Linear contraction of AFEM energy error and oscillation
- Existence and uniqueness for the weak Dirichlet Poisson problem
- The Axiom of Choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Galerkin orthogonality for conforming approximations
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Ricardo H. Nochetto, Adaptive Finite Element Methods, Lecture 4 (standard reference, not scraped)
- Cascón, Kreuzer, Nochetto & Siebert, Quasi-optimal convergence rate for an AFEM (standard reference, not scraped)
- Bonito, Canuto, Nochetto & Veeser, Adaptive Finite Element Methods (2024) (standard reference, not scraped)