TheoremBase

Strong Convergence of Noise Displacement Fields from Weak Convergence of Their Graph Couplings and an Upper Bound on Their Norms

If the graph couplings of noise displacement fields converge weakly to the graph coupling of a limit field, and their norms are eventually at most the norm of the limit plus any margin, then the fields converge strongly among the square-integrable noise fields.

Statement

In the setting of Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation, let μ∈P(X)\mu\in\mathcal{P}(X), let na:X→Rn_{a}:X\to\mathbb{R} be the Borel function of The Noise Space is a Real Hilbert Space: Orthonormal Basis, Continuous Embedding, Partial Sums, Closed Balls and Borel Measurability §borel, let id\mathrm{id} be the identity map of XX, and let L2(μ;Xa)L^{2}(\mu;X^{a}) be the space of Probability Measures on a Hilbert Space Transported in the Noise Norm: Standing Notation §fields, with norm ∥⋅∥μ\lVert\cdot\rVert_{\mu}; sequences and limits of sequences of real numbers are those of those definitions. A noise displacement for μ\mu is a Borel map v:X→Xv:X\to X with v(x)∈Xav(x)\in X^{a} for every x∈Xx\in X and ∫Xna(v(x)) μ(dx)<∞\int_{X}n_{a}(v(x))\,\mu(dx)<\infty; it is measurable as a map into XaX^{a} by The Noise Space is a Real Hilbert Space: Orthonormal Basis, Continuous Embedding, Partial Sums, Closed Balls and Borel Measurability §measurable and square-integrable with respect to μ\mu, since ∣v(x)∣a2=na(v(x))|v(x)|_{a}^{2}=n_{a}(v(x)) for every x∈Xx\in X, and its class in L2(μ;Xa)L^{2}(\mu;X^{a}) is again written vv. For such vv the map id+v\mathrm{id}+v is the composite of the map (id,v)(\mathrm{id},v), Borel by Borel Sets of a Hilbert Space with an Orthonormal Basis: Coordinates, Determination by Finite-Dimensional Projections, and Pairs §pairing since id\mathrm{id}, being continuous, is Borel by claim 3 of Borel Measurability and Bounded Integration on a Metric Space, with the addition X×X→XX\times X\to X, which is continuous by Properties of the Product of Two Real Inner Product Spaces §componentwise, The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §linear-limits and Continuity Between Metric Spaces is Equivalent to Sequential Continuity §on-subset; hence id+v\mathrm{id}+v is Borel by claims 3 and 4 of Borel Measurability and Bounded Integration on a Metric Space; so (id,id+v):X→X×X(\mathrm{id},\mathrm{id}+v):X\to X\times X is Borel by Borel Sets of a Hilbert Space with an Orthonormal Basis: Coordinates, Determination by Finite-Dimensional Projections, and Pairs §pairing, and the push-forward (id,id+v)#μ∈P(X×X)(\mathrm{id},\mathrm{id}+v)_{\#}\mu\in\mathcal{P}(X\times X) of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §pushforward is defined.

(Strong convergence of displacements) Let vv be a noise displacement for μ\mu and let (vj)j∈N(v_{j})_{j\in\mathbb{N}} be a sequence of noise displacements for μ\mu. Suppose that

(id,id+vj)#μ⇒(id,id+v)#μ,(\mathrm{id},\mathrm{id}+v_{j})_{\#}\mu\Rightarrow(\mathrm{id},\mathrm{id}+v)_{\#}\mu ,

and that for every positive ε∈R\varepsilon\in\mathbb{R} there is J∈NJ\in\mathbb{N} with ∥vj∥μ≤∥v∥μ+ε\lVert v_{j}\rVert_{\mu}\le\lVert v\rVert_{\mu}+\varepsilon for every j∈Nj\in\mathbb{N} with J≤jJ\le j. Then lim⁡j→∞∥vj−v∥μ=0\lim_{j\to\infty}\lVert v_{j}-v\rVert_{\mu}=0.

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