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Robin-Robin iteration contracts to the monolithic trace

Statement

Assume the model, positive Schur operators, and algorithm of Finite-dimensional backward-Euler diffusion transmission model, The diffusion Schur complement is positive and minimizes energy, and Finite-budget Robin-Robin transmission iteration, with α>0. Every Robin solve in the algorithm exists uniquely, and for every admitted input it returns converged with the current first-subdomain trace on the first passing test, or returns budget_exhausted with λ1M after at most M passes. Let λ∗ be the unique monolithic trace solving (S1+S2)λ∗=f1+f2, and put Ri=(αI−Si)(αI+Si)−1 and qi=∥Ri∥, q=q1q2. Then q<1, the unique fixed point of the iteration corresponds exactly to λ∗, and the incoming-data error satisfies

r1m+1−r1∗=R2R1(r1m−r1∗),∥r1m+1−r1∗∥≤q∥r1m−r1∗∥.

If the algorithm's stop test succeeds at pass m+1, its returned trace satisfies ∥λ1m+1−λ∗∥≤ε. A budget_exhausted return carries no such certificate.

Facts & Assumptions

Given: The finite-dimensional diffusion transmission model, Si positive definite, α>0, loads fi, and the finite-pass algorithm.

[F1]

Finite-dimensional backward-Euler diffusion transmission model: the outward flux is pi:=Siλi−fi, and the monolithic trace equation is (S1+S2)λ=f1+f2.

[F2]

The diffusion Schur complement is positive and minimizes energy: each Si is self-adjoint positive definite.

[F3]

Finite-budget Robin-Robin transmission iteration: each pass uses (Si+αI)λi=ri+fi and exchanges ri+1=(αI−Si)λi+fi.

[F4]

Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis: each finite-dimensional real self-adjoint endomorphism has an orthonormal eigenbasis.

Proof

1.1givenF2F3algebra

For each i, Si+αI is self-adjoint positive definite because ⟨(Si+αI)z,z⟩=⟨Siz,z⟩+α∥z∥2>0 for every z≠0. It is therefore invertible on the finite-dimensional space Λ; its inverse and the operators Ri have finite norms, and ∥(αI+S1)−1∥>0 because Λ≠{0}. Each first solve uniquely determines λ1m+1, the first exchange uniquely determines r2m+1, the second solve uniquely determines λ2m+1, and the last exchange uniquely determines r1m+1. Since M is finite, these operations define all passes up to M; the tests either return converged at the first pass that satisfies them or, if none does, return budget_exhausted with the last trace. Thus the algorithm is well-defined and terminates within its stated budget.

1.2givenF1F2algebra

By [F1] and [F2], S:=S1+S2 is positive definite, so the monolithic trace λ∗=S−1(f1+f2) exists uniquely. Set pi∗:=Siλ∗−fi; then p1∗+p2∗=0. Define r1∗:=αλ∗+p1∗ and r2∗:=αλ∗+p2∗.

2.1F1F3step 1.2algebra

The first Robin equation in [F3] is equivalent to r1=αλ1+p1, and its exchange is r2=αλ1−p1; the second equation and exchange have the same forms with indices 1 and 2 reversed. Since p2∗=−p1∗, the pair (r1∗,r2∗) is unchanged by both exchanges, so λ∗ gives a fixed point.

2.2F1F3step 1.2algebra

Conversely, at any fixed point the two exchange equalities give r2=αλ1−p1=αλ2+p2 and r1=αλ1+p1=αλ2−p2. Adding the equalities for r2 and r1 yields 2α(λ1−λ2)=0, hence λ1=λ2; subtracting yields p1+p2=0. Thus the common trace solves the unique monolithic equation from step 1.2, proving the fixed point is unique.

3.1F2F3F4step 2.1algebra

By [F2] and [F4], in an orthonormal eigenbasis of Si, Ri has eigenvalues (α−σ)/(α+σ) with σ>0. Each has absolute value strictly below 1, so qi<1. Subtracting the fixed-point equations from the iteration equations in [F3] gives r2m+1−r2∗=R1(r1m−r1∗) and then r1m+1−r1∗=R2(r2m+1−r2∗). Therefore the displayed error map holds and q=q1q2<1.

4.1F3step 3.1algebra∎

Put em=r1m−r1∗ and dm=r1m+1−r1m. The error map in step 3.1 gives dm=(R2R1−I)em. Since ∥R2R1∥≤q<1, the reverse triangle inequality yields ∥dm∥≥(1−q)∥em∥. The first solve in [F3] gives λ1m+1−λ∗=(αI+S1)−1em. Therefore the stop test in [F3] implies ∥λ1m+1−λ∗∥≤∥(αI+S1)−1∥ ∥dm∥/(1−q)≤ε. If the finite pass budget is exhausted without this test, no trace certificate has been issued.

Depends on

Used by

Cited to discharge well-definedness by Finite-budget Robin-Robin transmission iteration.

Dependency tree · two levels

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