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Linear contraction of AFEM energy error and oscillation
Statement
Assume the Axiom of Choice and Countable Choice for the weak elliptic existence suppliers used to instantiate either model branch.
Let be generated by exact P1 Galerkin solves and the three-generation algorithm with , and assume every per-call bisection budget is sufficient for a complete refinement. For the estimator and oscillation of Residual indicators and data oscillation for P1 AFEM, write , and . On the symmetric branch , no initial-mesh smallness is needed. On the constant-convection branch assume the uniform dual-pickup bound of Quasi-orthogonality for constant convection on a fine initial mesh and set . Define In the convection branch assume , so that is defined and the quasi-orthogonality estimate applies, and assume . Then there are and , depending only on the displayed constants and marking parameters, such that
Moreover, after possibly reducing a positive weight , there are and such that This second assertion records the residual-estimator reduction as part of the usual AFEM quasi-error. Constants and smallness hypotheses belong to the chosen marking and the stated dual-pickup bound.
Facts & Assumptions
The Axiom of Choice and Countable Choice are assumed for the weak-solution suppliers and Sobolev spaces (The Axiom of Choice, The Axiom of Countable Choice ()).
Given: The Axiom of Choice, Countable Choice, exact weak and Galerkin solutions, reliability and marked local efficiency, bulk estimator and oscillation sets, three-generation refinement, and in the convection case the stated dual-pickup bound.
Reliability gives , and marked local efficiency gives (Residual reliability and local efficiency for P1 AFEM).
The energy error satisfies exact symmetric orthogonality for and the stated quasi-orthogonality inequality for constant (Quasi-orthogonality for constant convection on a fine initial mesh).
Data oscillation contracts by , where (Data oscillation reduction under three-generation refinement).
The residual estimator satisfies the reduction inequality after marked refinement, with a correction term proportional to (Reduction of the P1 residual estimator after marked refinement).
Under the stated choice assumptions, weak Dirichlet Poisson has a unique solution (Existence and uniqueness for the weak Dirichlet Poisson problem).
Constant-convection weak Dirichlet Poisson has a unique weak solution under the same choice assumptions (Weak well-posedness for constant divergence-free convection).
Under Countable Choice, every finite-dimensional conforming subspace has a unique exact Galerkin solution for the bounded coercive form (Céa quasi-optimality for coercive conforming Galerkin problems).
Proof
By [A1, F5] or [A1, F6], as appropriate to the chosen branch, the weak solution exists uniquely under the stated choice assumptions. By [F7], the finite-dimensional P1 Galerkin solution on each mesh also exists uniquely. Write . The completed algorithm refines every original edge neighbor of through three generations, so the marked-correction premise in [F1] holds, including its adjacent-cell tests. By [F1] and the Dörfler property, Thus . By [F2], , where in the symmetric case and otherwise. Consequently
Combine step 1.1 with [F3]: Choose . Then both coefficients and are strictly less than one. Their maximum is a valid , proving the first contraction.
Set in [F4]. Dörfler marking gives where is finite. Also [F2] implies . Choose so . Adding times this estimator inequality to the error and oscillation bounds gives coefficients strictly below one on and . Choose large enough that the coefficient on , divided by , is below one; this is possible by . The maximum of the three resulting coefficients is , which proves the second inequality. The case of zero error or zero oscillation satisfies the same inequalities without division.
Depends on
- Residual indicators and data oscillation for P1 AFEM
- Compatible 2D newest-vertex-bisection meshes
- Dorfler marking and conforming newest-vertex refinement
- Weak well-posedness for constant divergence-free convection
- Shape regularity and local reduction under 2D newest-vertex bisection
- Quasi-orthogonality for constant convection on a fine initial mesh
- Residual reliability and local efficiency for P1 AFEM
- Existence and uniqueness for the weak Dirichlet Poisson problem
- Galerkin orthogonality for conforming approximations
- The Axiom of Choice
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Data oscillation reduction under three-generation refinement
- Reduction of the P1 residual estimator after marked refinement
- Céa quasi-optimality for coercive conforming Galerkin problems
Used by
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Sources
- Ricardo H. Nochetto, Adaptive Finite Element Methods, Lecture 2 (standard reference, not scraped)
- Ricardo H. Nochetto, Adaptive Finite Element Methods, Lecture 3 (standard reference, not scraped)
- Bonito, Canuto, Nochetto & Veeser, Adaptive Finite Element Methods (2024) (standard reference, not scraped)