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An elliptic reduced-gradient L2 rate follows under dual approximation
Statement
Assume Countable Choice and the Galerkin and adjoint hypotheses of Conforming elliptic finite-element reduced gradients have an energy-norm error budget. Suppose the adjoint regularity and dual approximation assumptions of The h^(r+s) L² rate under primal and dual approximation hold separately for the state and adjoint equations, giving for , , and . Assume the parameter derivative operators satisfy Assume the discrete derivative maps in Conforming elliptic finite-element reduced gradients have an energy-norm error budget have compatible extensions and constants independent of give, for every , a direct-objective derivative defect at most , an -dual load-derivative defect at most , and a bilinear derivative defect at most . Then the reduced-gradient error is . This rate requires those extra -bounded parameter derivative maps; the energy-norm result alone does not imply it.
Facts & Assumptions
Given: The energy-norm reduced-gradient setting, the stated dual regularity bounds for the state and adjoint, Countable Choice, and the displayed derivative bounds.
The Aubin–Nitsche estimate gives an error under its stated primal and dual approximation hypotheses (The h^(r+s) L² rate under primal and dual approximation).
The energy-norm reduced-gradient bound separates state error, adjoint error, and derivative-data defects (Conforming elliptic finite-element reduced gradients have an energy-norm error budget).
Countable Choice (The Axiom of Countable Choice ()) and the dual regularity and interpolation hypotheses hold separately for the continuous and adjoint Galerkin equations, with the constants displayed in the Statement; derivative-data and direct-objective defects are in the stated operator norms.
Proof
Apply [F1] to the state equation and to the adjoint equation with the transposed coercive form. Under [A1], this yields the two displayed error bounds. Countable Choice is required by [F1].
The parameter-derivative bounds in the Statement give and, by adding and subtracting , . The norms of and are bounded by the stated state bounds and .
Apply the exact gradient subtraction in [F2]. The direct-objective and derivative-data defects contribute their assumed bounds; step 2.1 bounds the state- and adjoint-dependent terms by constants times . Taking the supremum over proves the asserted rate. If the derivative bounds or either dual approximation hypothesis fails, this rate has not been proved.
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Sources
- Hannes Meinlschmidt, Optimization with Partial Differential Equations, complete lecture notes, §§1.6 and 3.2 (standard reference, not scraped)
- Christian Clason, Introduction to Finite Element Methods, complete lecture notes, §1.2 (standard reference, not scraped)