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Affine random diffusion has a measurable Bochner solution

Statement

Under the hypotheses of Uniformly elliptic affine random diffusion model, for each y∈Γ there is a unique u(y)∈V satisfying the pointwise weak problem. The map y↦u(y) is Lipschitz on the bounded parameter set, strongly measurable, and belongs to Lρ2(V). It is also the unique solution of the Bochner weak equation A(u,W)=F(W)(W∈Lρ2(V)).

Facts & Assumptions

Given: A bounded product parameter set, affine coefficient and forcing, and constants 0<a∗≤a∗ as in Uniformly elliptic affine random diffusion model.

[F1]

The zero-boundary Sobolev energy space is a separable Hilbert space supplies the separable real Hilbert structure on V=H01(D) under Countable Choice.

[F2]

Pointwise ay is a bounded real bilinear form, with ∣ay(v,w)∣≤a∗∥v∥V∥w∥V and ay(v,v)≥a∗∥v∥V2, by the coefficient bounds in Uniformly elliptic affine random diffusion model.

[F3]

The real bilinear Lax–Milgram theorem under Countable Choice gives a unique solution and ∥u(y)∥V≤∥F(y)∥V∗/a∗ (The Lax--Milgram theorem, The Axiom of Countable Choice (ACω)).

[F4]

A Borel map into the separable Banach space V is strongly measurable (A Borel map into a separable Banach space is strongly measurable).

[F5]

Affine diffusion forms are well-defined on Bochner L2 supplies measurability, integrability, continuity, and coercivity of A and boundedness of F on Lρ2(V).

[F6]

Lρ2(V) is a Hilbert space and finite-valued simple functions are dense (Finite-input Bochner L2 of a separable Hilbert space is Hilbert).

Proof

1.1F1F2F3given

For each y∈Γ, [F2] verifies the boundedness and coercivity hypotheses of [F3], while F(y)=f0+∑jyjfj is a bounded functional. Lax–Milgram gives a unique u(y)∈V and ∥u(y)∥V≤Fmax⁡/a∗, where Fmax⁡:=sup⁡y∈Γ∥F(y)∥V∗<∞ because Γ is bounded.

2.1F2step 1.1algebra

For y,z∈Γ, put d=u(y)−u(z) and subtract the weak equations: ay(d,v)=(F(y)−F(z))(v)+(az−ay)(u(z),v). The affine formulas give ∥F(y)−F(z)∥V∗≤CF∥y−z∥1 and ∣az(v,w)−ay(v,w)∣≤Ca∥y−z∥1∥v∥V∥w∥V, where CF=∑j∥fj∥V∗ and Ca=∑j∥aj∥L∞(D). Set v=d and use [F2] and the bound ∥u(z)∥V≤Fmax⁡/a∗ from step 1.1. If d≠0, divide the resulting coercive inequality by ∥d∥V; if d=0 the conclusion is immediate. This proves ∥u(y)−u(z)∥V≤a∗−1(CF+CaFmax⁡/a∗)∥y−z∥1. Thus u is Lipschitz and Borel measurable.

2.2F1F4step 1.1

Since V is separable, [F4] makes u strongly measurable. The uniform bound in step 1.1 and ρ(Γ)=1 give ∫Γ∥u(y)∥V2 dρ(y)≤(Fmax⁡/a∗)2<∞, so u∈Lρ2(V).

3.1F5step 2.2

For a finite-valued simple test W(y)=∑i=1m1Ei(y)vi, integrate the pointwise weak identity for each vi over Ei and sum; [F5] ensures the scalar integrands are measurable and integrable. This gives A(u,W)=F(W).

4.1F5F6step 3.1algebra∎

The bounds in [F5] make both sides continuous on Lρ2(V). Finite-valued simple tests are dense by [F6], so step 3.1 extends to every W. If two Bochner solutions existed, testing their difference against itself and using the coercivity bound in [F5] would force their difference to be zero.

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