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Finite element pde constrained optimization — Examples

1 · Prerequisites

2 · Summary

The distributed example constructs a smooth box-feasible heat source, state, and adjoint with an exact nonzero optimum. The boundary-control example derives the endpoint trace functional and explains why its control space and operator differ from an interior L2 source. The bang-bang example minimizes a separate linear functional over an L2 box; it does not obtain that result by substituting α=0 into a formula that divides by α.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: AI-adaptedVerification: AI-adaptedprecheck passOpen item page →

A distributed heat source has an exact box-constrained optimum

Statement

Assume Countable Choice. Let E=Ω=(0,1), V=H01(0,1), U=H=L2(0,1), and a(u,v)=∫01(u′v′+uv) dx. Let Bq be the L2 load functional v↦∫01qv dx, set f=0, qa=0, qb=1, and α=1. Put q∗(x)=12sin⁡(πx) and u∗(x)=q∗(x)/(π2+1), which solve the state equation. Set p∗(x)=−q∗(x) and ud(x)=u∗(x)+12(π2+1)sin⁡(πx). Define J(q)=12∥u(q)−ud∥L22+12∥q∥L22. Then q∗ is the unique optimal control, and its adjoint is p∗.

Facts & Assumptions

Given: The one-dimensional coercive elliptic control problem, the admissible box 0≤q≤1, and the exactly defined target ud.

[F1]

The state and adjoint equations have unique weak solutions under the bounded coercive form hypotheses (Well-posedness of elliptic control state and adjoint equations).

[F2]

For α>0, an admissible q satisfying (B∗p(q)+αq,v−q)U≥0 for every v∈Qad is the unique minimizer (Existence, uniqueness, and variational inequality for elliptic PDE control).

Verification

1.1F1givenalgebra

The form is the full H1 inner product, so it is bounded and coercive with constants one, and ∣⟨Bq,v⟩∣≤∥q∥2∥v∥H1. Since f=0, −u∗′′+u∗=q∗, and u∗(0)=u∗(1)=0, integration by parts first for compactly supported smooth tests and then by H01 density gives a(u∗,v)=(q∗,v)L2 for every v∈H01(0,1); uniqueness in [F1] identifies the state. Since −p∗′′+p∗=−12(π2+1)sin⁡(πx)=u∗−ud and p∗ has zero boundary values, the same argument verifies the adjoint equation.

2.1F2step 1.1givenalgebra∎

The load identity gives (B∗p∗,r)U=⟨Br,p∗⟩=(p∗,r)U for every r∈U, hence B∗p∗=p∗. Since 0≤q∗≤1/2, it is admissible, and B∗p∗+αq∗=p∗+q∗=0. Thus its variational inequality holds with equality for every admissible comparison control, and [F2] makes q∗ the unique minimizer.

ExampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passjudge pass (gpt-6-luna)Open item page →

A boundary flux control uses the H1 trace and a different control operator

Statement

Assume the Axiom of Choice. For Ω=(0,1), realize V=H1(0,1) by its unique absolutely continuous representatives, with norm ∥v∥V=(∥v∥22+∥v′∥22)1/2. For a smooth state satisfying −u′′+u=f, u′(0)=0, and u′(1)=g, integration by parts gives the weak boundary load v↦gv(1). The boundary control parameter is a scalar, equivalently L2({1}) for counting measure. For g≠0, its trace functional is not representable by an interior density q∈L2(0,1); for g=0, both loads include the zero functional. Thus the boundary control space and its trace operator must be specified separately from the distributed-control space L2(0,1).

Facts & Assumptions

Given: The Axiom of Choice, the interval, the energy space H1(0,1), and the one-dimensional weak formulation of a Neumann boundary load.

[A1]

The Axiom of Choice is assumed (The Axiom of Choice).

[F1]

The control box Closed pointwise box of L2 controls consists of equivalence classes in an L2 space over its declared measure domain; changing the domain changes the control space.

[F2]

Under the Axiom of Choice, every H1(0,1) class has a unique absolutely continuous representative on [0,1] (One-dimensional W1,p functions have unique absolutely continuous representatives).

[F3]

The Axiom of Choice implies Dependent Choice and Countable Choice (AC implies DC implies countable choice).

[F4]

For absolutely continuous functions, integration by parts gives ∫FG′+∫F′G=F(1)G(1)−F(0)G(0) when Countable Choice and Dependent Choice hold (Integration by parts for absolutely continuous functions).

[F5]

Cauchy--Schwarz gives ∣∫01ab∣≤∥a∥2∥b∥2 (Cauchy–Schwarz: ∣⟨x,y⟩∣≤∥x∥ ∥y∥, with equality exactly for dependent pairs).

Verification

1.1A1F2F3F4F5givenalgebra

By [F2], v has an absolutely continuous representative. By [F3], the hypotheses of [F4] hold. Applying [F4] to F(x)=x and G(x)=v(x) gives v(1)=∫01v(x) dx+∫01xv′(x) dx. Cauchy--Schwarz [F5] yields ∣v(1)∣≤∥v∥2+∥v′∥2≤2∥v∥V. Applying [F4] to F=u′ and G=v for a smooth state gives ∫01(u′v′+uv) dx=∫01fv dx+gv(1). Thus the boundary control operator B∂g:v↦gv(1) is bounded on V.

2.1F1F5step 1.1givenalgebra∎

Let vn(x)=max⁡{1−n(1−x),0}. Then vn∈H1(0,1), vn(1)=1, and ∥vn∥2=(3n)−1/2. If g≠0 and gv(1)=∫01qv for every v∈V with some q∈L2(0,1), Cauchy--Schwarz [F5] gives ∣g∣=∣∫01qvn∣≤∥q∥2(3n)−1/2→0, a contradiction. For g=0, q=0 represents the same zero functional. The boundary input space is nevertheless the scalar L2({1}) space, while the distributed input space in [F1] is L2(0,1); their operators and control sets must be specified separately.

ExampleConstruction: AI-generatedVerification: AI-generatedprecheck passjudge pass (gpt-6-luna)Open item page →

The alpha-zero linear box problem has a bang-bang active set

Statement

On E=(0,1) with box 0≤q≤1, consider the separate unregularized linear functional L(q)=∫01s(x)q(x) dx, where s(x)=x−12. Its minimizer is q∗(x)=1 for x<12 and q∗(x)=0 for x>12; the value at the single switching point is immaterial in L2. This is a bang-bang control (it takes only endpoint values a.e.) and is not an instance of the α>0 strong-convexity theorem.

Facts & Assumptions

Given: The L2(0,1) box, the linear objective, and Lebesgue measure on (0,1).

[F1]

The feasible controls satisfy 0≤q≤1 almost everywhere (Closed pointwise box of L2 controls).

[F2]

A box projection clips pointwise, but the α=0 linear objective is a distinct problem and has no Tikhonov term (The L2 projection onto a pointwise box is clipping).

[F3]

A nonnegative measurable function has integral zero exactly when it vanishes almost everywhere (A nonnegative measurable function has integral 0 exactly when it vanishes almost everywhere).

Verification

1.1F1givenalgebra

If x<1/2, then s(x)<0, so s(x)q(x)≥s(x) for every q(x)∈[0,1], with equality only when q(x)=1. If x>1/2, then s(x)>0, so s(x)q(x)≥0, with equality only when q(x)=0.

2.1F1F3step 1.1algebra

Integrating the pointwise inequalities gives L(q)≥L(q∗). The gap s(q−q∗) is nonnegative almost everywhere and integrable; if equality holds, [F3] makes it zero almost everywhere. Since s(x)≠0 away from the single point x=1/2, equality forces the stated endpoint values almost everywhere, so the minimizer is unique as an L2 equivalence class. It is bang-bang by construction. Because α=0, the strict-convexity and unique-control conclusions that use α>0 are not invoked.

3.1F2step 1.1algebra∎

The exact box projection formula from [F2] concerns clipping a point to the interval; this example instead minimizes a linear integrand and reaches the interval endpoints according to the sign of s. Thus this is a separate limiting/example branch, not a consequence of substituting α=0 into a formula that divides by α.

Sources