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Conditional O(h2) variational control error under H2 regularity and full uniform L2 estimates
Statement
Assume Countable Choice. Let minimize the continuous distributed-control objective of Linear coercive elliptic PDE control problem and reduced objective with , , , and observation . Assume exact affine geometry and conforming P1 Galerkin state and adjoint spaces on a shape-regular mesh family. Let be the affine finite-element state map and define the finite-element reduced objective on by
Let be the associated discrete adjoint. Require adjoint consistency for this same state map and objective, namely
This identity is the condition that the discrete adjoint represents the derivative of the stated objective; it must be checked for any perturbed state, form, or load implementation. Set and , and let minimize over the same infinite-dimensional box (variational control discretization). Assume the actual primal and adjoint problems have uniform regularity and the matching primal and dual interpolation bounds of The h^(r+s) L² rate under primal and dual approximation with . Assume also that the full state and adjoint error bounds, including every Strang form/load defect and the state-error contribution to the adjoint load, satisfy
The displayed uniform state/adjoint estimate is an explicit hypothesis here; a concrete PDE family must verify it from its actual regularity, matching dual approximation, and complete Strang/geometry/quadrature/load ledger. An energy error of order alone does not imply this bound. Then
where is independent of . No such rate is asserted on a domain or coefficient class lacking the stated primal, adjoint, and defect estimates.
Facts & Assumptions
Given: The continuous minimizer and variational inequality; the finite-element reduced objective, its adjoint-consistency identity and its minimizer on ; uniform control bounds; the P1 shape-regular mesh; primal and adjoint regularity; the matching Aubin–Nitsche hypotheses; and the full Strang defect estimates.
The continuous gradient is ; the stated adjoint-consistency identity gives , so . The uniform state/adjoint premise therefore supplies (Reduced gradient and coercive Hessian for linear elliptic tracking control, with the explicit error assumption in the Statement).
The continuous reduced gradient is strongly monotone with constant (Reduced gradient and coercive Hessian for linear elliptic tracking control).
The primal and adjoint errors are uniformly over , including the adjoint-load perturbation caused by the primal state error.
Proof
The adjoint-consistency identity and the continuous gradient formula give . The explicit uniform premise [A1], including the state-error contribution to the adjoint load and every form/load defect, therefore gives The actual , dual-approximation, and defect hypotheses must be used to verify [A1] for the PDE family; this proof does not infer it from an energy estimate of order alone.
Put . Strong monotonicity [F5] gives The continuous variational inequality gives . Since minimizes the differentiable on the convex set , its derivative identity gives along the feasible segment toward . Replacing by costs at most by step 1.1. Thus . If the claim is immediate; otherwise divide by to get .
Remarks
The primal and adjoint assumptions must match the actual operator, boundary, and domain. In particular, a full-adjoint estimate is not inferred on an arbitrary Lipschitz or reentrant polygonal domain, an energy estimate of order does not replace the explicit estimate, and unresolved geometry or quadrature defects cannot be discarded.
[F2] Under the matching primal and dual approximation bounds with , the conforming state error obeys the Aubin–Nitsche estimate with order (The h^(r+s) L² rate under primal and dual approximation, Aubin–Nitsche L² error estimate from adjoint approximation).
[F3] Céa and the shape-regular P1 approximation supply the primal rate used in [F2] (Céa quasi-optimality for coercive conforming Galerkin problems, Primal H¹ approximation on shape-regular affine finite-element meshes).
[F4] The Strang estimate retains every form and load defect for perturbed state and adjoint solves (First Strang estimate for conforming perturbed Galerkin problems).
Depends on
- The h^(r+s) L² rate under primal and dual approximation
- Primal H¹ approximation on shape-regular affine finite-element meshes
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Linear coercive elliptic PDE control problem and reduced objective
- Matching affine simplicial meshes and shape regularity
- Aubin–Nitsche L² error estimate from adjoint approximation
- Céa quasi-optimality for coercive conforming Galerkin problems
- First Strang estimate for conforming perturbed Galerkin problems
- Existence, uniqueness, and variational inequality for elliptic PDE control
- Reduced gradient and coercive Hessian for linear elliptic tracking control
Used by
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Sources
- Michael Hinze, A Variational Discretization Concept in Control Constrained Optimization (standard reference, not scraped)