TheoremBase

For vectors with finitely many nonzero coordinates the Wick power is expanded in cylindrical Hermite polynomials by iterating the Hermite addition formula and rescaling, and the covariance formula follows from Hermite orthogonality and the multinomial theorem. For general Cameron-Martin vectors the Wick powers of the truncations form an L2−CauchyL^2-Cauchy sequence converging almost everywhere to the Wick power, which by Fatou gives square-integrability, the covariance by continuity of the inner product, continuity in the vector, and membership in the chaos.

Proof

Each result cited is universally quantified over the data in its own statement.

The coordinates are xk=⟨x,ek⟩x_{k}=\langle x,e_{k}\rangle (Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates); cc is a variance sequence, so ck>0c_{k}>0 (Variance Sequences and Their Truncations §variances). We write L2=L2(γc)L^{2}=L^{2}(\gamma_{c}), a real Hilbert space with inner product ⟨⋅,⋅⟩L2(γc)\langle\cdot,\cdot\rangle_{L^{2}(\gamma_{c})} and norm ∥⋅∥2\lVert\cdot\rVert_{2} (Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §lebesgue, The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §inner-product, The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §hilbert); convergence in L2L^{2} refers to the distance d(F,G)=∥F−G∥2d(F,G)=\lVert F-G\rVert_{2} (Real Hilbert Space §topology). For f∈Hcf\in H_{c} and q∈N0q\in\mathbb{N}_{0}, ∣f∣c2q|f|_{c}^{2q} denotes (∣f∣c2)q(|f|_{c}^{2})^{q}. Limits of real sequences are combined by Arithmetic of Limits of Real Sequences §sums, Arithmetic of Limits of Real Sequences §products and Arithmetic of Limits of Real Sequences §scalar, referred to below as the limit laws, and are unique by uniqueness of limits. The limit laws extend to finite sums and to powers: if p∈Np\in\mathbb{N} and (rk,N)N∈N(r_{k,N})_{N\in\mathbb{N}} converges to rkr_{k} for each k∈[p]k\in[p], the set of l∈Nl\in\mathbb{N} such that, if l≤pl\le p, then (∑k=1lrk,N)N\bigl(\sum_{k=1}^{l}r_{k,N}\bigr)_{N} converges to ∑k=1lrk\sum_{k=1}^{l}r_{k} contains 11 and contains l+1l+1 whenever it contains ll, by claim 1 of Properties of Finite Sums and the law for sums, so it is N\mathbb{N} by Principle of Induction for the Natural Numbers; and if (rN)(r_{N}) converges to rr, the set of q∈Nq\in\mathbb{N} such that (rNq)N(r_{N}^{q})_{N} converges to rqr^{q} contains 11 and contains q+1q+1 whenever it contains qq, by claim 1 of Properties of Natural Number Powers in a Field and the law for products, so it is N\mathbb{N} by the same axiom (for the exponent 00 all terms are 11).

Step 0 (Vectors with finitely many nonzero coordinates). Let f∈Xf\in X and N∈NN\in\mathbb{N} with fk=0f_{k}=0 for k>Nk>N. For n>Nn>N the nn-th partial sum of ∑kfk2/ck\sum_{k}f_{k}^{2}/c_{k} equals ∑k=1Nfk2/ck\sum_{k=1}^{N}f_{k}^{2}/c_{k}, by Splitting a Finite Sum at an Index (with NN and n−Nn-N in place of mm and nn there), the second part being a sum of zeros and hence 00 by claim 7 of Properties of Finite Sums; the same splitting is used for the finite sums below. So the series converges with this sum (Series of Real Numbers §convergent): f∈Hcf\in H_{c} and ∣f∣c2=∑k=1Nfk2/ck|f|_{c}^{2}=\sum_{k=1}^{N}f_{k}^{2}/c_{k} (The Cameron-Martin Space of a Diagonal Gaussian Measure on a Hilbert Space §space, The Cameron-Martin Space of a Diagonal Gaussian Measure on a Hilbert Space §square). In the same way, for g∈Hcg\in H_{c}, ⟨f,g⟩c=∑k=1Nfkgk/ck\langle f,g\rangle_{c}=\sum_{k=1}^{N}f_{k}g_{k}/c_{k} (The Cameron-Martin Inner Product of Two Cameron-Martin Vectors §inner-product); and for every x∈Xx\in X the Paley-Wiener partial sums satisfy ℓf,n(x)=∑k=1Nfkxk/ck\ell_{f,n}(x)=\sum_{k=1}^{N}f_{k}x_{k}/c_{k} for n≥Nn\ge N (The Paley-Wiener Functional of a Vector Relative to a Variance Sequence §partial-sums), so the sequence converges and ℓf(x)=∑k=1N(fk/ck)xk\ell_{f}(x)=\sum_{k=1}^{N}(f_{k}/c_{k})x_{k} by The Paley-Wiener Functional of a Vector Relative to a Variance Sequence §functional. For h∈Xh\in X and N∈NN\in\mathbb{N} let h[N]=∑i=1Nhieih^{[N]}=\sum_{i=1}^{N}h_{i}e_{i}. By Inner Products Against Finite Sums, and Orthonormal Families, in a Real Inner Product Space §combinations and orthonormality of the basis (Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §space, Orthonormal Basis of a Real Hilbert Space §basis, Orthogonality, Orthogonal Complement and Orthonormal Families in a Real Inner Product Space §orthonormal), hk[N]=∑i=1Nhi⟨ei,ek⟩h^{[N]}_{k}=\sum_{i=1}^{N}h_{i}\langle e_{i},e_{k}\rangle equals hkh_{k} for k≤Nk\le N and 00 for k>Nk>N, by claim 7 of Properties of Finite Sums (for k≤Nk\le N the only possibly nonzero summand is the one with i=ki=k; for k>Nk>N all summands vanish). Hence h[N]∈Hch^{[N]}\in H_{c}, and ℓh[N](x)=∑k=1Nhkxk/ck=ℓh,N(x)\ell_{h^{[N]}}(x)=\sum_{k=1}^{N}h_{k}x_{k}/c_{k}=\ell_{h,N}(x) for every x∈Xx\in X.

Step 1 (A multinomial addition formula). Let N∈NN\in\mathbb{N}, v1,…,vN≥0v_{1},\dots,v_{N}\ge0, u1,…,uN∈Ru_{1},\dots,u_{N}\in\mathbb{R} and n∈N0n\in\mathbb{N}_{0}, and let Tn,NT_{n,N} be the set of a∈N0Na\in\mathbb{N}_{0}^{N} with a1+⋯+aN=na_{1}+\dots+a_{N}=n. It contains the tuple (n,0,…,0)(n,0,\dots,0), and each a∈Tn,Na\in T_{n,N} has ak≤na_{k}\le n for all kk by claim 6 of Properties of Finite Sums; so Tn,NT_{n,N} is a nonempty subset of the set of NN-tuples in {0,…,n}\{0,\dots,n\}, which is finite by claim 3 of Finiteness of Cartesian Products, Tuple Sets, and Permutation Sets ({0,…,n}\{0,\dots,n\} being the image of [n+1][n+1] under k↦k−1k\mapsto k-1, so finite by claim 4 of Basic Properties of Finite Sets), and Tn,NT_{n,N} is finite by claim 3 of Basic Properties of Finite Sets. Sums over such finite index sets are those of Sum over a Finite Index Set. We show

Hnv1+⋯+vN(u1+⋯+uN)=∑a∈Tn,Nn!a1!⋯aN!∏k=1NHakvk(uk).(A)H^{v_{1}+\dots+v_{N}}_{n}(u_{1}+\dots+u_{N})=\sum_{a\in T_{n,N}}\frac{n!}{a_{1}!\cdots a_{N}!}\prod_{k=1}^{N}H^{v_{k}}_{a_{k}}(u_{k}).\tag{A}

Let KK be the set of N∈NN\in\mathbb{N} such that (A) holds for all v1,…,vN≥0v_{1},\dots,v_{N}\ge0, u1,…,uN∈Ru_{1},\dots,u_{N}\in\mathbb{R} and n∈N0n\in\mathbb{N}_{0}. Then 1∈K1\in K: Tn,1={(n)}T_{n,1}=\{(n)\}, the coefficient is n!/n!=1n!/n!=1, a sum over a singleton is its term (claim 1 of Peeling, Splitting, and Interchange for Sums over a Finite Index Set), and sums and products with one term are that term (claim 1 of Properties of Finite Sums and of Properties of Finite Products). Let N∈KN\in K, let v1,…,vN+1≥0v_{1},\dots,v_{N+1}\ge0, u1,…,uN+1∈Ru_{1},\dots,u_{N+1}\in\mathbb{R} and n∈N0n\in\mathbb{N}_{0}, and let V=∑k≤Nvk≥0V=\sum_{k\le N}v_{k}\ge0, U=∑k≤NukU=\sum_{k\le N}u_{k}, so that ∑k≤N+1vk=V+vN+1\sum_{k\le N+1}v_{k}=V+v_{N+1} and ∑k≤N+1uk=U+uN+1\sum_{k\le N+1}u_{k}=U+u_{N+1} by claim 1 of Properties of Finite Sums. By Hermite Polynomials: Low Orders, Derivatives, Recursion, Scaling, the Addition Formula, Gaussian Orthogonality and the Mehler Identity §addition (with v=Vv=V, w=vN+1w=v_{N+1}, s=Us=U, t=uN+1t=u_{N+1}), (A) for NN applied to each HjV(U)H^{V}_{j}(U) (as N∈KN\in K), and claim 3 of Properties of Finite Sums (applied to the inner sums written along enumerations as in Sum over a Finite Index Set) to bring the factors (nj)Hn−jvN+1(uN+1)\binom{n}{j}H^{v_{N+1}}_{n-j}(u_{N+1}) inside,

HnV+vN+1(U+uN+1)=∑j=0n ∑a∈Tj,N(nj)j!a1!⋯aN!∏k=1NHakvk(uk) Hn−jvN+1(uN+1).H^{V+v_{N+1}}_{n}(U+u_{N+1})=\sum_{j=0}^{n}\ \sum_{a\in T_{j,N}}\binom{n}{j}\frac{j!}{a_{1}!\cdots a_{N}!}\prod_{k=1}^{N}H^{v_{k}}_{a_{k}}(u_{k})\,H^{v_{N+1}}_{n-j}(u_{N+1}).

For j∈{0,…,n}j\in\{0,\dots,n\} and a∈Tj,Na\in T_{j,N} put φ(j,a)=b=(a1,…,aN,n−j)\varphi(j,a)=b=(a_{1},\dots,a_{N},n-j); then b∈Tn,N+1b\in T_{n,N+1} by claim 1 of Properties of Finite Sums. By the definition of (nj)\binom{n}{j} in Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §integers, (nj)j!a1!⋯aN!=n!a1!⋯aN! (n−j)!\binom{n}{j}\frac{j!}{a_{1}!\cdots a_{N}!}=\frac{n!}{a_{1}!\cdots a_{N}!\,(n-j)!}, and by claim 1 of Properties of Finite Products (applied to the factorials and to the Hermite factors) the term indexed by (j,a)(j,a) equals n!b1!⋯bN+1!∏k=1N+1Hbkvk(uk)\frac{n!}{b_{1}!\cdots b_{N+1}!}\prod_{k=1}^{N+1}H^{v_{k}}_{b_{k}}(u_{k}). Let PP be the set of ordered pairs (j,a)(j,a) with j∈{0,…,n}j\in\{0,\dots,n\} and a∈Tj,Na\in T_{j,N}. The map φ\varphi is a bijection from PP onto Tn,N+1T_{n,N+1}, with inverse b↦(n−bN+1,(b1,…,bN))b\mapsto(n-b_{N+1},(b_{1},\dots,b_{N})) (here bN+1≤nb_{N+1}\le n by claim 6 and ∑k≤Nbk=n−bN+1\sum_{k\le N}b_{k}=n-b_{N+1} by claim 1 of Properties of Finite Sums). The outer sum from 00 (Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §integers) is the sum over the finite set {0,…,n}\{0,\dots,n\} in the sense of Sum over a Finite Index Set, computed along the enumeration k↦k−1k\mapsto k-1 of [n+1][n+1]: this is immediate if n=0n=0, and follows from Splitting a Finite Sum at an Index (with 11 and nn in place of mm and nn there) if n≥1n\ge1. Since each Tj,NT_{j,N} is nonempty and finite, claim 4 of Sums over Finite Index Sets: Finite Unions, Disjoint Unions, Vanishing Terms, Dependent Pairs, Conjugation and the Modulus turns the double sum into the sum over PP of the same terms. Finally, if χ:[p]→P\chi:[p]\to P is a bijection, so is φ∘χ:[p]→Tn,N+1\varphi\circ\chi:[p]\to T_{n,N+1}, and by Sum over a Finite Index Set both the sum over PP and the sum over Tn,N+1T_{n,N+1} of the corresponding terms equal ∑k=1p\sum_{k=1}^{p} of the term indexed by χ(k)\chi(k), the choice of enumeration being immaterial since two enumerations differ by a permutation of [p][p] (Invariance of Finite Sums and Products under Reindexing by a Permutation). This gives (A) for N+1N+1 and the given data; so N+1∈KN+1\in K, and K=NK=\mathbb{N} by Principle of Induction for the Natural Numbers.

Step 2 (Claim 2). Let hh and NN be as in claim 2 and x∈Xx\in X. By Step 0, ℓh(x)=∑k=1Nuk\ell_{h}(x)=\sum_{k=1}^{N}u_{k} with uk=(hk/ck)xku_{k}=(h_{k}/c_{k})x_{k}, and ∣h∣c2=∑k=1Nvk|h|_{c}^{2}=\sum_{k=1}^{N}v_{k} with vk=hk2/ck≥0v_{k}=h_{k}^{2}/c_{k}\ge0. By The Wick Powers of a Paley-Wiener Functional §wick and (A),

:ℓhn:(x)=∑a∈Tn,Nn!a1!⋯aN!∏k=1NHakvk(uk).{:}\ell_{h}^{n}{:}(x)=\sum_{a\in T_{n,N}}\frac{n!}{a_{1}!\cdots a_{N}!}\prod_{k=1}^{N}H^{v_{k}}_{a_{k}}(u_{k}).

By Hermite Polynomials: Low Orders, Derivatives, Recursion, Scaling, the Addition Formula, Gaussian Orthogonality and the Mehler Identity §scaling with r=hk/ckr=h_{k}/c_{k}, v=ckv=c_{k}, t=xkt=x_{k}, and since r2ck=hk2/ck=vkr^{2}c_{k}=h_{k}^{2}/c_{k}=v_{k}, we get Hakvk(uk)=(hk/ck)akHakck(xk)H^{v_{k}}_{a_{k}}(u_{k})=(h_{k}/c_{k})^{a_{k}}H^{c_{k}}_{a_{k}}(x_{k}). The map sending a∈Tn,Na\in T_{n,N} to the multi-index with terms a1,…,aNa_{1},\dots,a_{N} followed by zeros is a bijection onto An,N\mathcal{A}_{n,N} (NN being a length bound for each element of An,N\mathcal{A}_{n,N}, whose order is then ∑k≤Nαk\sum_{k\le N}\alpha_{k}); and with the length bound NN, α!=∏k≤Nak!\alpha!=\prod_{k\le N}a_{k}!, (h/c)α=∏k≤N(hk/ck)ak(h/c)^{\alpha}=\prod_{k\le N}(h_{k}/c_{k})^{a_{k}} (Finitely Supported Multi-Indices: Order, Factorial, Powers and Weighted Order §order) and Hα(x)=∏k≤NHakck(xk)H_{\alpha}(x)=\prod_{k\le N}H^{c_{k}}_{a_{k}}(x_{k}) (The Cylindrical Hermite Polynomials of a Diagonal Gaussian Measure on a Hilbert Space §hermite). Substituting, with claim 2 of Properties of Finite Products to write ∏k≤N(hk/ck)akHakck(xk)\prod_{k\le N}(h_{k}/c_{k})^{a_{k}}H^{c_{k}}_{a_{k}}(x_{k}) as (h/c)αHα(x)(h/c)^{\alpha}H_{\alpha}(x), and reindexing the sum along this bijection as at the end of Step 1, gives claim 2; in particular An,N\mathcal{A}_{n,N}, the image of the finite set Tn,NT_{n,N}, is finite (claim 4 of Basic Properties of Finite Sets).

Step 3 (Covariance for finitely many coordinates). Let h,g∈Xh,g\in X and N∈NN\in\mathbb{N} with hk=gk=0h_{k}=g_{k}=0 for k>Nk>N (so h,g∈Hch,g\in H_{c} by Step 0), and m,n∈N0m,n\in\mathbb{N}_{0}. By claim 2, :ℓhm:=∑α∈Am,NaαHα{:}\ell_{h}^{m}{:}=\sum_{\alpha\in\mathcal{A}_{m,N}}a_{\alpha}H_{\alpha} and :ℓgn:=∑β∈An,NbβHβ{:}\ell_{g}^{n}{:}=\sum_{\beta\in\mathcal{A}_{n,N}}b_{\beta}H_{\beta} pointwise, with aα=m!α!(h/c)αa_{\alpha}=\frac{m!}{\alpha!}(h/c)^{\alpha} and bβ=n!β!(g/c)βb_{\beta}=\frac{n!}{\beta!}(g/c)^{\beta}. Each HαH_{\alpha} is Borel with class in L2L^{2} (Cylindrical Hermite Polynomials: Growth and Integrability, Partial Derivatives, Orthogonality, and Monomials as Hermite Combinations §cylindrical), so these Wick powers are Borel (claim 2 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions) and 22-integrable, their classes being the corresponding linear combinations of classes (The Lebesgue Space of Power-Integrable Functions §space). By The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §inner-product the product :ℓhm: :ℓgn:{:}\ell_{h}^{m}{:}\,{:}\ell_{g}^{n}{:} is integrable with integral ⟨:ℓhm:,:ℓgn:⟩L2(γc)\langle{:}\ell_{h}^{m}{:},{:}\ell_{g}^{n}{:}\rangle_{L^{2}(\gamma_{c})}, and by Inner Products Against Finite Sums, and Orthonormal Families, in a Real Inner Product Space §combinations (twice; the sums over Am,N\mathcal{A}_{m,N} and An,N\mathcal{A}_{n,N} are converted into finite sums by enumeration as in Sum over a Finite Index Set) and Cylindrical Hermite Polynomials: Growth and Integrability, Partial Derivatives, Orthogonality, and Monomials as Hermite Combinations §orthogonality,

∫X:ℓhm: :ℓgn: dγc=∑α∈Am,N∑β∈An,Naαbβ⟨Hα,Hβ⟩L2(γc).\int_{X}{:}\ell_{h}^{m}{:}\,{:}\ell_{g}^{n}{:}\,d\gamma_{c}=\sum_{\alpha\in\mathcal{A}_{m,N}}\sum_{\beta\in\mathcal{A}_{n,N}}a_{\alpha}b_{\beta}\langle H_{\alpha},H_{\beta}\rangle_{L^{2}(\gamma_{c})}.

If m≠nm\ne n, every pair has ∣α∣≠∣β∣|\alpha|\ne|\beta|, so α≠β\alpha\ne\beta, every term is 00, and so is the double sum, by claim 3 of Sums over Finite Index Sets: Finite Unions, Disjoint Unions, Vanishing Terms, Dependent Pairs, Conjugation and the Modulus. If m=nm=n, then for fixed α\alpha every term of the inner sum with β≠α\beta\ne\alpha vanishes, so by claim 3 of Sums over Finite Index Sets: Finite Unions, Disjoint Unions, Vanishing Terms, Dependent Pairs, Conjugation and the Modulus (with the subset {α}\{\alpha\}) and claim 1 of Peeling, Splitting, and Interchange for Sums over a Finite Index Set the inner sum is aαbα α! cαa_{\alpha}b_{\alpha}\,\alpha!\,c^{\alpha}. Moreover (hk/ck)a(gk/ck)acka=(hkgk/ck)a(h_{k}/c_{k})^{a}(g_{k}/c_{k})^{a}c_{k}^{a}=(h_{k}g_{k}/c_{k})^{a} for a∈N0a\in\mathbb{N}_{0}, by claim 3 of Properties of Natural Number Powers in a Field (trivially if a=0a=0), so claim 2 of Properties of Finite Products, with the length bound NN, gives (h/c)α(g/c)αcα=∏k=1N(hkgk/ck)αk(h/c)^{\alpha}(g/c)^{\alpha}c^{\alpha}=\prod_{k=1}^{N}(h_{k}g_{k}/c_{k})^{\alpha_{k}}. Hence

∫X:ℓhn: :ℓgn: dγc=∑α∈An,N(n!α!)2(h/c)α(g/c)α α! cα=n!∑a∈Tn,Nn!a1!⋯aN!∏k=1N(hkgkck)ak=n!(∑k=1Nhkgkck)n,\int_{X}{:}\ell_{h}^{n}{:}\,{:}\ell_{g}^{n}{:}\,d\gamma_{c}=\sum_{\alpha\in\mathcal{A}_{n,N}}\Bigl(\frac{n!}{\alpha!}\Bigr)^{2}(h/c)^{\alpha}(g/c)^{\alpha}\,\alpha!\,c^{\alpha}=n!\sum_{a\in T_{n,N}}\frac{n!}{a_{1}!\cdots a_{N}!}\prod_{k=1}^{N}\Bigl(\frac{h_{k}g_{k}}{c_{k}}\Bigr)^{a_{k}}=n!\Bigl(\sum_{k=1}^{N}\frac{h_{k}g_{k}}{c_{k}}\Bigr)^{n},

using the bijection of Step 2 and Multinomial Theorem (with m=Nm=N, d=nd=n, ak=hkgk/cka_{k}=h_{k}g_{k}/c_{k}). By Step 0 the last expression is n! ⟨h,g⟩c nn!\,\langle h,g\rangle_{c}^{\,n}.

Step 4 (The truncated Wick powers form a Cauchy sequence). Let h∈Hch\in H_{c}, n∈N0n\in\mathbb{N}_{0}, and for N∈NN\in\mathbb{N} let WN=:ℓh[N]n:W_{N}={:}\ell_{h^{[N]}}^{n}{:}, an element of L2L^{2} by Step 3, and sN=∑k=1Nhk2/cks_{N}=\sum_{k=1}^{N}h_{k}^{2}/c_{k}. By Step 0, ∣h[N]∣c2=sN|h^{[N]}|_{c}^{2}=s_{N} and, for N≤MN\le M, ⟨h[N],h[M]⟩c=⟨h[M],h[N]⟩c=sN\langle h^{[N]},h^{[M]}\rangle_{c}=\langle h^{[M]},h^{[N]}\rangle_{c}=s_{N}. Let N≤MN\le M. Step 3, applied with the common bound MM to the three pairs (h[M],h[M])(h^{[M]},h^{[M]}), (h[M],h[N])(h^{[M]},h^{[N]}) and (h[N],h[N])(h^{[N]},h^{[N]}), all of which vanish beyond MM, together with The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §inner-product, which identifies each integral computed there with the corresponding inner product in L2L^{2}, gives ∥WM∥22=n! sMn\lVert W_{M}\rVert_{2}^{2}=n!\,s_{M}^{n}, ⟨WM,WN⟩L2(γc)=n! sNn\langle W_{M},W_{N}\rangle_{L^{2}(\gamma_{c})}=n!\,s_{N}^{n} and ∥WN∥22=n! sNn\lVert W_{N}\rVert_{2}^{2}=n!\,s_{N}^{n}. Hence, by Elementary Identities in a Real Inner Product Space §expansion,

∥WM−WN∥22=n!(sMn−2sNn+sNn)=n!(sMn−sNn).\lVert W_{M}-W_{N}\rVert_{2}^{2}=n!\bigl(s_{M}^{n}-2s_{N}^{n}+s_{N}^{n}\bigr)=n!\bigl(s_{M}^{n}-s_{N}^{n}\bigr).

By The Cameron-Martin Space of a Diagonal Gaussian Measure on a Hilbert Space §square and Series of Real Numbers §convergent, sN→∣h∣c2s_{N}\to|h|_{c}^{2}, so sNn→∣h∣c2ns_{N}^{n}\to|h|_{c}^{2n} by the limit laws. Given ε>0\varepsilon>0 choose N0N_{0} with ∣sNn−∣h∣c2n∣<ε2/(2 n!)|s_{N}^{n}-|h|_{c}^{2n}|<\varepsilon^{2}/(2\,n!) for N≥N0N\ge N_{0}; then ∥WM−WN∥22<ε2\lVert W_{M}-W_{N}\rVert_{2}^{2}<\varepsilon^{2}, hence ∥WM−WN∥2<ε\lVert W_{M}-W_{N}\rVert_{2}<\varepsilon, for M,N≥N0M,N\ge N_{0}. So (WN)(W_{N}) is Cauchy in (L2,d)(L^{2},d), and since L2L^{2} is complete (Real Hilbert Space §hilbert) it converges to some W∈L2W\in L^{2}; let ww be a 22-integrable representative of WW.

Step 5 (Claim 1, and convergence of the truncations). Keep the notation of Step 4. Let CC be the set of x∈Xx\in X for which (ℓh,N(x))N(\ell_{h,N}(x))_{N} converges; it is Borel with γc(C)=1\gamma_{c}(C)=1 by The Paley-Wiener Functional of a Cameron-Martin Vector: Borel Measurability, Almost Everywhere and Mean-Square Convergence, Mean Zero and Variance the Cameron-Martin Square §borel and The Paley-Wiener Functional of a Cameron-Martin Vector: Borel Measurability, Almost Everywhere and Mean-Square Convergence, Mean Zero and Variance the Cameron-Martin Square §almost-everywhere, and ℓh,N(x)→ℓh(x)\ell_{h,N}(x)\to\ell_{h}(x) for x∈Cx\in C by The Paley-Wiener Functional of a Vector Relative to a Variance Sequence §functional. By Hermite Polynomials with a Given Variance §hermite, Hnv(t)H^{v}_{n}(t) is a finite sum of fixed real multiples of products (−v)jtn−2j(-v)^{j}t^{n-2j}, so the limit laws show: if vN→vv_{N}\to v and tN→tt_{N}\to t with all vN,v≥0v_{N},v\ge0, then HnvN(tN)→Hnv(t)H^{v_{N}}_{n}(t_{N})\to H^{v}_{n}(t). Since WN(x)=HnsN(ℓh,N(x))W_{N}(x)=H^{s_{N}}_{n}(\ell_{h,N}(x)) by Step 0, we get WN(x)→:ℓhn:(x)W_{N}(x)\to{:}\ell_{h}^{n}{:}(x) for every x∈Cx\in C. The function Hn∣h∣c2H^{|h|_{c}^{2}}_{n} is of class C2C^{2} on R1\mathbb{R}^{1} by Hermite Polynomials: Low Orders, Derivatives, Recursion, Scaling, the Addition Formula, Gaussian Orthogonality and the Mehler Identity §polynomial, so by claim 3 of Euclidean Space is Open in Itself, and CkC^k Maps are Continuous it is continuous from R1\mathbb{R}^{1} into (R,dR)(\mathbb{R},d_{\mathbb{R}}); identifying R1\mathbb{R}^{1} with R\mathbb{R}, whose Euclidean distance is dRd_{\mathbb{R}} by The Euclidean Distance on the Real Line is the Absolute Value Metric, it is continuous from (R,dR)(\mathbb{R},d_{\mathbb{R}}) to itself, hence Borel by claims 3 and 2 of Borel Measurability and Bounded Integration on a Metric Space, and ℓh\ell_{h} is Borel by The Paley-Wiener Functional of a Cameron-Martin Vector: Borel Measurability, Almost Everywhere and Mean-Square Convergence, Mean Zero and Variance the Cameron-Martin Square §borel; so :ℓhn:{:}\ell_{h}^{n}{:} is Borel by claim 4 of Borel Measurability and Bounded Integration on a Metric Space. Put fN=(WN−w)2f_{N}=(W_{N}-w)^{2} and u=(:ℓhn:−w)2u=({:}\ell_{h}^{n}{:}-w)^{2}, nonnegative measurable functions (Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions). We use the following fact (L): if (rN)N∈N(r_{N})_{N\in\mathbb{N}} is a sequence of nonnegative reals converging to a real rr, then lim inf⁡NrN=sup⁡Kinf⁡N≥KrN\liminf_{N}r_{N}=\sup_{K}\inf_{N\ge K}r_{N}, formed in [0,∞][0,\infty] as in Fatou's Lemma, equals rr. Indeed, for K∈NK\in\mathbb{N} the infimum ιK=inf⁡{rN:N≥K}\iota_{K}=\inf\{r_{N}:N\ge K\} exists in [0,∞][0,\infty] (Measure, Measure Space, and Probability Measure), and ιK≤ιK′\iota_{K}\le\iota_{K'} for K≤K′K\le K', the second set being contained in the first. Let ε>0\varepsilon>0 and, by Limit of a Sequence of Real Numbers, let Kε∈NK_{\varepsilon}\in\mathbb{N} with ∣rN−r∣<ε|r_{N}-r|<\varepsilon for all N≥KεN\ge K_{\varepsilon}. For K≥KεK\ge K_{\varepsilon}, r−εr-\varepsilon is a lower bound of {rN:N≥K}\{r_{N}:N\ge K\}, so r−ε≤ιK≤rK<r+εr-\varepsilon\le\iota_{K}\le r_{K}<r+\varepsilon; for K<KεK<K_{\varepsilon}, ιK≤ιKε<r+ε\iota_{K}\le\iota_{K_{\varepsilon}}<r+\varepsilon. Hence r+εr+\varepsilon is an upper bound of all ιK\iota_{K}, and r−ε≤ιKε≤sup⁡KιK≤r+εr-\varepsilon\le\iota_{K_{\varepsilon}}\le\sup_{K}\iota_{K}\le r+\varepsilon. So σ=sup⁡KιK\sigma=\sup_{K}\iota_{K} is real and ∣σ−r∣≤ε|\sigma-r|\le\varepsilon for every ε>0\varepsilon>0; if σ≠r\sigma\ne r, the choice ε=∣σ−r∣/2\varepsilon=|\sigma-r|/2 would give a contradiction, so σ=r\sigma=r. For x∈Cx\in C, fN(x)→u(x)f_{N}(x)\to u(x) by the limit laws, so u=lim inf⁡NfNu=\liminf_{N}f_{N} on CC by (L), hence almost everywhere. By The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §comparison and Fatou's Lemma,

∫Xu dγc=∫X(lim inf⁡NfN)dγc≤lim inf⁡N∫XfN dγc=lim inf⁡N∥WN−W∥22=0,\int_{X}u\,d\gamma_{c}=\int_{X}\Bigl(\liminf_{N}f_{N}\Bigr)d\gamma_{c}\le\liminf_{N}\int_{X}f_{N}\,d\gamma_{c}=\liminf_{N}\lVert W_{N}-W\rVert_{2}^{2}=0,

where ∫XfN dγc=∥WN−W∥22\int_{X}f_{N}\,d\gamma_{c}=\lVert W_{N}-W\rVert_{2}^{2} by Power-Integrable Functions and the p-Seminorm §seminorm and The Lebesgue Space of Power-Integrable Functions §norm, and the last equality holds by (L), because ∥WN−W∥22→0\lVert W_{N}-W\rVert_{2}^{2}\to0 by the limit laws. By The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §vanishing, u=0u=0 almost everywhere, that is :ℓhn:=w{:}\ell_{h}^{n}{:}=w almost everywhere. Hence (:ℓhn:)2=w2({:}\ell_{h}^{n}{:})^{2}=w^{2} almost everywhere and ∫X(:ℓhn:)2 dγc=∫Xw2 dγc<∞\int_{X}({:}\ell_{h}^{n}{:})^{2}\,d\gamma_{c}=\int_{X}w^{2}\,d\gamma_{c}<\infty by The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §comparison. This proves claim 1; moreover the class of :ℓhn:{:}\ell_{h}^{n}{:} is WW (The Lebesgue Space of Power-Integrable Functions §equivalence), so

∥:ℓh[N]n:−:ℓhn:∥2→0(N→∞).(T)\bigl\lVert{:}\ell_{h^{[N]}}^{n}{:}-{:}\ell_{h}^{n}{:}\bigr\rVert_{2}\to0\qquad(N\to\infty).\tag{T}

Step 6 (Claim 3). Let h,g∈Hch,g\in H_{c} and m,n∈N0m,n\in\mathbb{N}_{0}. By claim 1 and The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §inner-product, the product :ℓhm: :ℓgn:{:}\ell_{h}^{m}{:}\,{:}\ell_{g}^{n}{:} is integrable with integral ⟨:ℓhm:,:ℓgn:⟩L2(γc)\langle{:}\ell_{h}^{m}{:},{:}\ell_{g}^{n}{:}\rangle_{L^{2}(\gamma_{c})}. By (T), which Steps 4 and 5 establish for every vector in HcH_{c} and every exponent in N0\mathbb{N}_{0}, applied to hh with exponent mm and to gg with exponent nn, and by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity, ⟨:ℓh[N]m:,:ℓg[N]n:⟩L2(γc)\langle{:}\ell_{h^{[N]}}^{m}{:},{:}\ell_{g^{[N]}}^{n}{:}\rangle_{L^{2}(\gamma_{c})} converges to this integral as N→∞N\to\infty. By Step 3 (with h[N],g[N]h^{[N]},g^{[N]}, which vanish beyond NN), where each such inner product was identified with the integral computed there, these inner products are 00 if m≠nm\ne n, and equal n!(∑k=1Nhkgk/ck)nn!\bigl(\sum_{k=1}^{N}h_{k}g_{k}/c_{k}\bigr)^{n} if m=nm=n; the latter converges to n! ⟨h,g⟩c nn!\,\langle h,g\rangle_{c}^{\,n} by The Cameron-Martin Inner Product of Two Cameron-Martin Vectors §inner-product, Series of Real Numbers §convergent and the limit laws. Uniqueness of limits gives claim 3.

Step 7 (Claim 4). For f∈Hcf\in H_{c}, ⟨f,f⟩c=∣f∣c2\langle f,f\rangle_{c}=|f|_{c}^{2}, the two series being the same. Let h(j)h^{(j)} be as in claim 4, d(j)=h(j)−h∈Hcd^{(j)}=h^{(j)}-h\in H_{c} and δj=∣d(j)∣c2→0\delta_{j}=|d^{(j)}|_{c}^{2}\to0. By Elementary Identities in a Real Inner Product Space §bilinear and symmetry, hk(j)=hk+dk(j)h^{(j)}_{k}=h_{k}+d^{(j)}_{k}. By claim 3, applied to the three pairs (h(j),h(j))(h^{(j)},h^{(j)}), (h(j),h)(h^{(j)},h) and (h,h)(h,h) with m=nm=n, and The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §inner-product, which identifies each integral there with the corresponding inner product in L2L^{2}, we get ∥:ℓh(j)n:∥22=n! ∣h(j)∣c2n\lVert{:}\ell_{h^{(j)}}^{n}{:}\rVert_{2}^{2}=n!\,|h^{(j)}|_{c}^{2n}, ⟨:ℓh(j)n:,:ℓhn:⟩L2(γc)=n! ⟨h(j),h⟩c n\langle{:}\ell_{h^{(j)}}^{n}{:},{:}\ell_{h}^{n}{:}\rangle_{L^{2}(\gamma_{c})}=n!\,\langle h^{(j)},h\rangle_{c}^{\,n} and ∥:ℓhn:∥22=n! ∣h∣c2n\lVert{:}\ell_{h}^{n}{:}\rVert_{2}^{2}=n!\,|h|_{c}^{2n}; so Elementary Identities in a Real Inner Product Space §expansion gives

∥:ℓh(j)n:−:ℓhn:∥22=n!(∣h(j)∣c2n−2⟨h(j),h⟩c n+∣h∣c2n).\bigl\lVert{:}\ell_{h^{(j)}}^{n}{:}-{:}\ell_{h}^{n}{:}\bigr\rVert_{2}^{2}=n!\Bigl(|h^{(j)}|_{c}^{2n}-2\langle h^{(j)},h\rangle_{c}^{\,n}+|h|_{c}^{2n}\Bigr).

Termwise, hk(j)hk/ck=hk2/ck+dk(j)hk/ckh^{(j)}_{k}h_{k}/c_{k}=h_{k}^{2}/c_{k}+d^{(j)}_{k}h_{k}/c_{k} and (hk(j))2/ck=hk2/ck+2dk(j)hk/ck+(dk(j))2/ck(h^{(j)}_{k})^{2}/c_{k}=h_{k}^{2}/c_{k}+2d^{(j)}_{k}h_{k}/c_{k}+(d^{(j)}_{k})^{2}/c_{k}, so Elementary Properties of Series of Real Numbers §linearity gives ⟨h(j),h⟩c=∣h∣c2+⟨d(j),h⟩c\langle h^{(j)},h\rangle_{c}=|h|_{c}^{2}+\langle d^{(j)},h\rangle_{c} and ∣h(j)∣c2=∣h∣c2+2⟨d(j),h⟩c+δj|h^{(j)}|_{c}^{2}=|h|_{c}^{2}+2\langle d^{(j)},h\rangle_{c}+\delta_{j}. Let t>0t>0. For every kk, 0≤(t∣dk(j)∣−∣hk∣)20\le(t|d^{(j)}_{k}|-|h_{k}|)^{2} gives ∣dk(j)hk∣/ck≤12(t(dk(j))2/ck+hk2/(tck))|d^{(j)}_{k}h_{k}|/c_{k}\le\tfrac12\bigl(t(d^{(j)}_{k})^{2}/c_{k}+h_{k}^{2}/(tc_{k})\bigr); the series of the right-hand sides converges with sum 12(tδj+∣h∣c2/t)\tfrac12(t\delta_{j}+|h|_{c}^{2}/t) by Elementary Properties of Series of Real Numbers §linearity, so An Absolutely Convergent Series of Real Numbers Converges §dominated gives ∣⟨d(j),h⟩c∣≤12(tδj+∣h∣c2/t)|\langle d^{(j)},h\rangle_{c}|\le\tfrac12(t\delta_{j}+|h|_{c}^{2}/t). Given ε>0\varepsilon>0, take t=(∣h∣c2+1)/εt=(|h|_{c}^{2}+1)/\varepsilon, so that ∣h∣c2/(2t)<ε/2|h|_{c}^{2}/(2t)<\varepsilon/2, and j0j_{0} with δj<ε/t\delta_{j}<\varepsilon/t for j≥j0j\ge j_{0}; then ∣⟨d(j),h⟩c∣<ε|\langle d^{(j)},h\rangle_{c}|<\varepsilon for j≥j0j\ge j_{0}. Hence ⟨d(j),h⟩c→0\langle d^{(j)},h\rangle_{c}\to0, and by the limit laws ⟨h(j),h⟩c→∣h∣c2\langle h^{(j)},h\rangle_{c}\to|h|_{c}^{2}, ∣h(j)∣c2→∣h∣c2|h^{(j)}|_{c}^{2}\to|h|_{c}^{2}, and the right side of the display converges to n!(∣h∣c2n−2∣h∣c2n+∣h∣c2n)=0n!(|h|_{c}^{2n}-2|h|_{c}^{2n}+|h|_{c}^{2n})=0. Since the norms are nonnegative and a nonnegative real is below ε\varepsilon when its square is below ε2\varepsilon^{2}, the norms converge to 00. This proves claim 4.

Step 8 (Claim 5). For N∈NN\in\mathbb{N}, hk[N]=0h^{[N]}_{k}=0 for k>Nk>N (Step 0), so by claim 2 the function :ℓh[N]n:{:}\ell_{h^{[N]}}^{n}{:} is the linear combination ∑α∈An,Nn!α!(h[N]/c)αHα\sum_{\alpha\in\mathcal{A}_{n,N}}\frac{n!}{\alpha!}(h^{[N]}/c)^{\alpha}H_{\alpha} over the nonempty finite set An,N⊆An\mathcal{A}_{n,N}\subseteq\mathcal{A}_{n} (it contains the multi-index with first term nn and all others 00). By The Lebesgue Space of Power-Integrable Functions §space its class is the same combination of the classes HαH_{\alpha}, an element of the linear span of {Hα:α∈An}\{H_{\alpha}:\alpha\in\mathcal{A}_{n}\} in the sense of The Wiener Chaoses of a Diagonal Gaussian Measure on a Hilbert Space. By (T) and Sequential Characterization of the Closure in a Metric Space, :ℓhn:{:}\ell_{h}^{n}{:} lies in the closure of that span, which is Hn\mathcal{H}_{n} by The Wiener Chaoses of a Diagonal Gaussian Measure on a Hilbert Space §chaos.

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