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The Galerkin Wick-Ordered Phi4Phi^4 Potentials on the Torus of Dimension at Most Two under the Free Field: Chaos Order, Conditional Expectations, and Increments with Their Cameron-Martin Derivatives

In dimension at most two the Galerkin Wick-ordered phi4phi^4 potentials lie in the chaos up to order four, each is the conditional expectation of a later one given the cube modes, and their increments and Cameron-Martin derivative increments are bounded in square mean by a constant times N(−1/4)N^(-1/4).

Statement

In the settings of The Real Numbers: Standing Notation and Background, The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation and Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation, the last read with the space X=H−m(Tn)X=H^{-m}(\mathbb{T}^{n}), the orthonormal basis (ej)j∈N(e_{j})_{j\in\mathbb{N}}, the noise weights aa and the variance sequence cc of The Free Field on the Torus as the Gaussian Reference Measure, with Square-Integrable White Noise: Standing Notation §gaussian, so that γc\gamma_{c} is the free field, suppose n≤2n\le2, and let ϰ,m∈R\varkappa,\mathfrak{m}\in\mathbb{R} with 0<ϰ0<\varkappa. For N∈NN\in\mathbb{N}, VNV_{N} is the Galerkin Wick-ordered ϕ4\phi^{4} potential with cutoff NN, coupling ϰ\varkappa and mass m\mathfrak{m}, dNd_{N} and JNJ_{N} are the Galerkin head dimension and the active indices at cutoff NN, and ∂jVN\partial_{j}V_{N} (j∈Nj\in\mathbb{N}) are the functions of Admissible Cylindrical Potentials on a Hilbert Space in the Noise Geometry §gradient, VNV_{N} being an admissible cylindrical potential with head dimension dNd_{N} by The Galerkin Wick-Ordered Phi^4 Potential on the Torus is an Admissible Cylindrical Potential, with Semiconvexity Constant the Positive Part of Three Times the Coupling Times the Wick Constant Minus the Mass §admissible; thus ∂jVN=0\partial_{j}V_{N}=0 for dN<jd_{N}<j. FN\mathcal{F}_{N} is the σ\sigma-algebra on XX generated by the coordinate maps x↦xjx\mapsto x_{j} with j∈JNj\in J_{N}. Conditional expectations are those of Conditional Expectation of a Square-Integrable Random Variable on the probability space (X,B(X),γc)(X,\mathcal{B}(X),\gamma_{c}), and H≤r\mathcal{H}_{\le r} (r∈N0r\in\mathbb{N}_{0}) is the chaos up to order rr.

1. (Chaos order) For every N∈NN\in\mathbb{N} and j∈Nj\in\mathbb{N}, VNV_{N} and ∂jVN\partial_{j}V_{N} are square-integrable with respect to γc\gamma_{c}, and their classes lie in H≤4\mathcal{H}_{\le4} and H≤3\mathcal{H}_{\le3} respectively.

2. (Conditional expectations) For N,M∈NN,M\in\mathbb{N} with N≤MN\le M, VNV_{N} is a conditional expectation of VMV_{M} given FN\mathcal{F}_{N}.

3. (Increments) There is a real number C≥0C\ge0, depending only on nn, ϰ\varkappa and m\mathfrak{m}, such that for all N,M∈NN,M\in\mathbb{N} with N≤MN\le M, with N−1/4N^{-1/4} as in Real Power of a Positive Real Number,

∫X(VM−VN)2 dγc≤C N−1/4and∑j=1dMcj∫X(∂jVM−∂jVN)2 dγc≤C N−1/4.\int_{X}(V_{M}-V_{N})^{2}\,d\gamma_{c}\le C\,N^{-1/4}\qquad\text{and}\qquad\sum_{j=1}^{d_{M}}c_{j}\int_{X}(\partial_{j}V_{M}-\partial_{j}V_{N})^{2}\,d\gamma_{c}\le C\,N^{-1/4}.

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