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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 there is a unique satisfying the pointwise weak problem. The map is Lipschitz on the bounded parameter set, strongly measurable, and belongs to . It is also the unique solution of the Bochner weak equation
Facts & Assumptions
Given: A bounded product parameter set, affine coefficient and forcing, and constants as in Uniformly elliptic affine random diffusion model.
The zero-boundary Sobolev energy space is a separable Hilbert space supplies the separable real Hilbert structure on under Countable Choice.
Pointwise is a bounded real bilinear form, with and , by the coefficient bounds in Uniformly elliptic affine random diffusion model.
The real bilinear Lax–Milgram theorem under Countable Choice gives a unique solution and (The Lax--Milgram theorem, The Axiom of Countable Choice ()).
A Borel map into the separable Banach space is strongly measurable (A Borel map into a separable Banach space is strongly measurable).
Affine diffusion forms are well-defined on Bochner L2 supplies measurability, integrability, continuity, and coercivity of and boundedness of on .
is a Hilbert space and finite-valued simple functions are dense (Finite-input Bochner L2 of a separable Hilbert space is Hilbert).
Proof
For each , [F2] verifies the boundedness and coercivity hypotheses of [F3], while is a bounded functional. Lax–Milgram gives a unique and , where because is bounded.
For , put and subtract the weak equations: The affine formulas give and , where and . Set and use [F2] and the bound from step 1.1. If , divide the resulting coercive inequality by ; if the conclusion is immediate. This proves . Thus is Lipschitz and Borel measurable.
Since is separable, [F4] makes strongly measurable. The uniform bound in step 1.1 and give , so .
For a finite-valued simple test , integrate the pointwise weak identity for each over and sum; [F5] ensures the scalar integrands are measurable and integrable. This gives .
The bounds in [F5] make both sides continuous on . Finite-valued simple tests are dense by [F6], so step 3.1 extends to every . If two Bochner solutions existed, testing their difference against itself and using the coercivity bound in [F5] would force their difference to be zero.
Depends on
- Uniformly elliptic affine random diffusion model
- Affine diffusion forms are well-defined on Bochner L2
- Finite-input Bochner L2 of a separable Hilbert space is Hilbert
- The Lax--Milgram theorem
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- A Borel map into a separable Banach space is strongly measurable
- The zero-boundary Sobolev energy space is a separable Hilbert space
Used by
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Sources
- Ivo Babuška, Fabio Nobile, and Raúl Tempone, A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data, §1 (standard reference, not scraped)
- Bruno Sudret, Polynomial Chaos Expansions and Stochastic Finite Element Methods, §4 (standard reference, not scraped)