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Parabolic finite-element gradient errors include the time-dependent Ritz residual

Statement

Assume Countable Choice and the differentiable continuous state/adjoint setting of A parabolic adjoint gives the gradient when the state map is differentiable. Let u,p and uh,ph denote the continuous and semidiscrete state/adjoint pairs. Write r[η]=Dθϕ(u(T),θ)[η]+∫0TDθL(t,u(t),θ)[η]dt,rh[η]=Dθϕh(uh(T),θ)[η]+∫0TDθLh(t,uh(t),θ)[η]dt. Assume their gradients g,gh∈(Rm)∗ have the representations, for every η∈Rm, g[η]=r[η]+(p(0),Dθu0[η])H+∫0T(⟨Dθf[η],p⟩−Dθa[η](u,p))dt, gh[η]=rh[η]+(ph(0),Dθu0,h[η])H+∫0T(⟨Dθfh[η],ph⟩−Dθah[η](uh,ph))dt. The continuous representation is supplied by the cited adjoint theorem; the semidiscrete representation is an explicit hypothesis here. Assume u,p∈H1(0,T;V), the parabolic form and its parameter derivative are uniformly bounded, and the form is coercive with constant α>0. Suppose the forward state and time-reversed adjoint both satisfy the hypotheses of Semidiscrete Ritz error splitting and energy estimate, with operator-norm C1 comparison maps Pu,h(t),Pp,h(t):V→Vh. For the state comparison map, set ρu=Pu,hu−u, ϑu=uh−Pu,hu, and Ru(t)(vh)=(ρu′(t),vh)H+aθ(t;ρu(t),vh),ρu′=Pu,h′(t)u+Pu,h(t)u′−u′. In reverse time s=T−t, put q(s)=p(T−s) and P~p,h(s)=Pp,h(T−s); define ρp(s)=P~p,h(s)q(s)−q(s), ϑp(s)=ph(T−s)−P~p,h(s)q(s), and Rp(s)(vh)=(ρp′(s),vh)H+aθ(T−s;vh,ρp(s)). The projection product rule gives ρp′=P~p,h′q+P~p,hq′−q′, with P~p,h′(s)=−Pp,h′(T−s). The Ritz supplier gives, for z=u,p, ∥z−zh∥L2(0,T;V)≤Ez:=∥ρz∥L2(0,T;V)+α−1/2(∥ϑz(0)∥H2+α−1∥Rz∥L2(0,T;Vh∗)2)1/2, where the adjoint's initial trace means its terminal trace in original time. In particular, Rz contains the derivative of the time-dependent projection; it cannot be dropped from this hypothesis.

For ∥η∥2≤1, assume ∥Dθf[η]∥L2(V∗)≤Mf, ∥Dθa(t)[η]∥L(V,V∗)≤Ma a.e., and define U∗:=max⁡(∥u∥L2(V),∥uh∥L2(V)), P∗:=max⁡(∥p∥L2(V),∥ph∥L2(V)), P0,∗:=max⁡(∥p(0)∥H,∥ph(0)∥H), and U0′:=∥Dθu0∥L(Rm,H). Suppose ∥rh−r∥(Rm)∗≤εJ, ∥Dθu0,h−Dθu0∥L(Rm,H)≤ε0, ∥Dθfh−Dθf∥L(Rm,L2(V∗))≤εf, and ∥Dθah−Dθa∥L∞(0,T;L(Rm,L(V,V∗)))≤εa. Put Ep,0=∥ph(0)−p(0)∥H. Then ∥gh−g∥(Rm)∗≤εJ+U0′Ep,0+P0,∗ε0+MfEp+εfP∗+Ma(EuP∗+U∗Ep)+εaU∗P∗. The derivative-data and trace defects are additional assumptions; an energy estimate for the state alone does not imply this gradient bound.

Facts & Assumptions

Given: The continuous and semidiscrete differentiable state/adjoint pairs, their objective-gradient formulas, the bounded coercive form, parameter derivative bounds, and the time-dependent Ritz comparison maps and residuals.

[F1]

The continuous parabolic adjoint formula expresses the gradient through the initial trace, forcing derivative, bilinear-form derivative and direct objective terms (A parabolic adjoint gives the gradient when the state map is differentiable). The semidiscrete representation is assumed explicitly in the Statement.

[F2]

The Ritz splitting obeys the residual identity and energy estimate, and for a time-dependent comparison map its residual uses ρ′=Ph′u+Phu′−u′ (Semidiscrete Ritz error splitting and energy estimate).

[F3]

The weak time product rule yields (Ph(t)u(t))′=Ph′(t)u(t)+Ph(t)u′(t) for an operator-norm C1 family (Time derivatives of fixed and differentiable comparison projections).

[A1]

Countable Choice (The Axiom of Countable Choice (ACω)) is required by the cited parabolic energy/pairing results. Both state and time-reversed transposed adjoint estimates, all traces, and all displayed derivative-data defects are assumed to satisfy their stated hypotheses (Semidiscrete Ritz error splitting and energy estimate, The evolution-space energy identity and continuous H trace).

Proof

1.1A1F2F3givenalgebra

For the forward state, the product rule [F3] gives ρu′=Pu,h′u+Pu,hu′−u′, so the residual in [F2] is exactly the one displayed in the Statement. Apply the energy estimate in [F2] to ϑu; it gives ∥ϑu∥L2(V)≤α−1/2(∥ϑu(0)∥H2+α−1∥Ru∥L2(Vh∗)2)1/2. Since u−uh=−ρu−ϑu, the triangle inequality proves the stated Eu bound.

2.1A1F2F3step 1.1construct

Set s=T−t and q(s)=p(T−s). The backward adjoint equation becomes a forward parabolic variational equation with transposed form aθ(T−s;v,w), which has the same boundedness and coercivity constants. The comparison P~p,h(s)=Pp,h(T−s) is operator-norm C1 and P~p,h′(s)=−Pp,h′(T−s). By [F3], its residual contains P~p,h′q+P~p,hq′−q′; apply the energy estimate in [F2] and the splitting p−ph=−ρp−ϑp to get the stated Ep bound by the same triangle inequality as step 1.1.

3.1A1F1step 2.1givenalgebra

Subtract the continuous and semidiscrete representations assumed in the Statement; [F1] supplies the continuous one. The direct term contributes εJ. For the initial pairing, add and subtract (ph(0),Dθu0); Cauchy--Schwarz bounds the difference by U0′Ep,0+P0,∗ε0. In the forcing term, add and subtract Dθf[ph]; the derivative-data defect is at most εfP∗, and the exact derivative contributes at most MfEp by step 2.1. Thus the direct, initial, and forcing contributions are bounded by the first four terms in the stated gradient estimate.

4.1A1F1step 1.1step 2.1step 3.1givenalgebra∎

For the form term, add and subtract Dθa[uh,ph]. Its derivative-data defect is at most εaU∗P∗. Split the exact derivative difference as Dθa[uh−u,ph]+Dθa[u,ph−p]; Cauchy--Schwarz in time, the bound ∥Dθa[η]∥≤Ma, and steps 1.1 and 2.1 give Ma(EuP∗+U∗Ep). Combine this with step 3.1 and take the supremum over ∥η∥2≤1 to obtain the displayed dual norm bound.

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