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Cylindrical Hermite Polynomials: Growth and Integrability, Partial Derivatives, Orthogonality, and Monomials as Hermite Combinations

The cylindrical Hermite polynomials HαH_\alpha are C2C^2 cylindrical functions of polynomial growth lying in every Lp(γc)L^p(\gamma_c); their partial derivatives are ∂kHα=αkHα−εk\partial_k H_\alpha=\alpha_k H_{\alpha-\varepsilon_k}; they are orthogonal in L2(γc)L^2(\gamma_c) with squared norm α!cα\alpha!c^\alpha; and every coordinate monomial is a finite linear combination of them with no larger exponents.

Statement

In the setting of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation, with the multi-indices α∈A\alpha\in\mathcal{A}, their length bounds, orders ∣α∣|\alpha|, factorials α!\alpha! and powers cαc^{\alpha}, the multi-indices εk\varepsilon_{k} and α−εk\alpha-\varepsilon_{k} of Finitely Supported Multi-Indices: Order, Factorial, Powers and Weighted Order, and the cylindrical Hermite polynomials HαH_{\alpha} of The Cylindrical Hermite Polynomials of a Diagonal Gaussian Measure on a Hilbert Space. Differentiability on XX is that of Fréchet Differentiability and the Gradient on an Open Subset of a Real Inner Product Space, applied with E=U=XE=U=X. Let α,β∈A\alpha,\beta\in\mathcal{A} and let n∈Nn\in\mathbb{N} be a length bound for α\alpha.

1. (Cylindrical form, growth and integrability) Let hα:Rn→Rh_{\alpha}:\mathbb{R}^{n}\to\mathbb{R}, hα(y)=∏k=1nHαkck(yk)h_{\alpha}(y)=\prod_{k=1}^{n}H^{c_{k}}_{\alpha_{k}}(y_{k}). Then hαh_{\alpha} is of class C2C^{2} on Rn\mathbb{R}^{n} and Hα=hα∘pnH_{\alpha}=h_{\alpha}\circ p_{n}; there is M∈RM\in\mathbb{R} with ∣hα(y)∣≤M(1+∥y∥∣α∣)|h_{\alpha}(y)|\le M(1+\lVert y\rVert^{|\alpha|}) for every y∈Rny\in\mathbb{R}^{n} and ∣Hα(x)∣≤M(1+∣x∣∣α∣)|H_{\alpha}(x)|\le M(1+|x|^{|\alpha|}) for every x∈Xx\in X; and HαH_{\alpha} is Borel with ∫X∣Hα∣p dγc<∞\int_{X}|H_{\alpha}|^{p}\,d\gamma_{c}<\infty for every real p≥1p\ge1, so that Hα∈Lp(γc)H_{\alpha}\in L^{p}(\gamma_{c}).

2. (Partial derivatives) HαH_{\alpha} is differentiable on XX, and for every k∈Nk\in\mathbb{N} and x∈Xx\in X: ∂kHα(x)=αk Hα−εk(x)\partial_{k}H_{\alpha}(x)=\alpha_{k}\,H_{\alpha-\varepsilon_{k}}(x) if αk≥1\alpha_{k}\ge1, and ∂kHα(x)=0\partial_{k}H_{\alpha}(x)=0 if αk=0\alpha_{k}=0.

3. (Orthogonality)

⟨Hα,Hβ⟩L2(γc)={α! cαif α=β,0if α≠β.\langle H_{\alpha},H_{\beta}\rangle_{L^{2}(\gamma_{c})}=\begin{cases}\alpha!\,c^{\alpha}&\text{if }\alpha=\beta,\\0&\text{if }\alpha\ne\beta.\end{cases}

4. (Monomials) The function x↦∏k=1nxkαkx\mapsto\prod_{k=1}^{n}x_{k}^{\alpha_{k}} on XX is a finite linear combination of functions HβH_{\beta} with β∈A\beta\in\mathcal{A}, βk≤αk\beta_{k}\le\alpha_{k} for every k∈Nk\in\mathbb{N}, and ∣β∣≤∣α∣|\beta|\le|\alpha|.

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