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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 Ω be a bounded polygon, T0 a compatible shape-regular 2D NVB mesh, and u∈H01(Ω) solve −Δu=f with f piecewise constant on T0. Run the exact P1 algorithm with three-generation refinement; assume each per-call budget suffices for every refinement through iteration k. Write Uk for the unique exact P1 Galerkin solution on Tk, estimator bulk parameter 0<θE≤min⁡(1,(1−λ2)/(ClocCeff)) for a fixed 0<λ<1, as in Dorfler marking is cardinality-optimal up to mesh closure, and any fixed oscillation parameter θO∈(0,1]. If u∈As from The P1 AFEM approximation class for 0<s≤12, then ∥∇(u−Uk)∥2≤C∣u∣As(1+#Tk−#T0)−s, where C 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

[A1]

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 (ACω)).

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.

[F1]

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).

[F2]

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).

[F3]

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).

[F4]

The approximation seminorm bounds the best error over every finite mesh budget (The P1 AFEM approximation class).

[F5]

Under the Axiom of Choice and Countable Choice, weak Dirichlet Poisson on a bounded polygon has a unique H01 solution for f∈L2 (Existence and uniqueness for the weak Dirichlet Poisson problem).

[F6]

Exact conforming Galerkin solutions satisfy a(u−UT,vT)=0 for every vT∈V(T) (Galerkin orthogonality for conforming approximations).

Proof

1.1A1F1F5givenalgebra

By [F5] the weak solution exists uniquely under the stated choice assumptions. Since f is piecewise constant on T0, every descendant cell has osc⁡K=0. By [F1] there are 0<α<1 and C0 such that ek+12≤αek2; hence, with q=α<1, ej≤qj−kek for j≥k. If ∣u∣As=0, then E0(u)=0 and all nested Galerkin errors vanish. Assume ∣u∣As>0.

1.2F4F6givenchoosealgebra

For each k with ek>0, put ϵk=λek for the fixed λ∈(0,1) in the statement. By [F4], if Nk=⌈(2∣u∣As/ϵk)1/s⌉, then ENk(u)≤ϵk/2: this follows directly from (Nk+1)sENk≤∣u∣As and Nk+1≥(2∣u∣As/ϵk)1/s. By the definition of an infimum there is a conforming comparison mesh with at most Nk added cells and best-approximation error at most ϵk. For a symmetric Galerkin solution, [F6] and expansion of ∥∇(u−vT)∥22=∥∇(u−UT)∥22+∥∇(UT−vT)∥22 show its exact Galerkin error is the best error, so this comparison mesh reduces the Galerkin error to at most ϵk. If ek=0, the target conclusion is already true.

2.1F2F3F4F6step 1.2algebra

The comparison mesh from step 1.2 reduces the error by the factor λ. By [F2], the marked set therefore satisfies #Mk≤Nk≤1+(2/λ)1/s∣u∣As1/sek−1/s. Here MO=∅ because the initial P0 data have zero oscillation, so Mk=ME,k. The actual refinement request is its edge-neighbor set Qk, whose cardinality is at most 4#Mk; [F3] already absorbs this factor in Ccl. Summing and applying [F3] gives #Tn−#T0≤C∑k=0n−1#Mk≤C′ ∣u∣As1/s∑k=0n−1ek−1/s. The additive 1 is absorbed into the right side because ek≤e0=E(T0;u)≤∣u∣As by [F4] at N=0.

3.1F4step 1.1step 2.1algebra∎

Geometric contraction from step 1.1 implies ek−1/s≤q(n−k)/sen−1/s for k<n. Thus the sum in step 2.1 is at most en−1/s∑j≥1qj/s, a finite geometric series. Rearranging yields en≤C′′∣u∣As(#Tn−#T0)−s whenever the added-cell count is positive. If it is zero, [F4] at N=0 gives en=e0≤∣u∣As. Enlarging C′′ replaces the count by 1+#Tn−#T0.

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