Each result cited is universally quantified over the data in its own statement.
The coordinates are x k = ⟨ x , e k ⟩ x_{k}=\langle x,e_{k}\rangle x k = ⟨ x , e k ⟩ (Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates ); c c c is a variance sequence, so c k > 0 c_{k}>0 c k > 0 (Variance Sequences and Their Truncations §variances ). We write L 2 = L 2 ( γ c ) L^{2}=L^{2}(\gamma_{c}) L 2 = L 2 ( γ c ) , a real Hilbert space with inner product ⟨ ⋅ , ⋅ ⟩ L 2 ( γ c ) \langle\cdot,\cdot\rangle_{L^{2}(\gamma_{c})} ⟨ ⋅ , ⋅ ⟩ L 2 ( γ c ) and norm ∥ ⋅ ∥ 2 \lVert\cdot\rVert_{2} ∥ ⋅ ∥ 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 L 2 L^{2} L 2 refers to the distance d ( F , G ) = ∥ F − G ∥ 2 d(F,G)=\lVert F-G\rVert_{2} d ( F , G ) = ∥ F − G ∥ 2 (Real Hilbert Space §topology ). For f ∈ H c f\in H_{c} f ∈ H c and q ∈ N 0 q\in\mathbb{N}_{0} q ∈ N 0 , ∣ f ∣ c 2 q |f|_{c}^{2q} ∣ f ∣ c 2 q denotes ( ∣ f ∣ c 2 ) q (|f|_{c}^{2})^{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 ∈ N p\in\mathbb{N} p ∈ N and ( r k , N ) N ∈ N (r_{k,N})_{N\in\mathbb{N}} ( r k , N ) N ∈ N converges to r k r_{k} r k for each k ∈ [ p ] k\in[p] k ∈ [ p ] , the set of l ∈ N l\in\mathbb{N} l ∈ N such that, if l ≤ p l\le p l ≤ p , then ( ∑ k = 1 l r k , N ) N \bigl(\sum_{k=1}^{l}r_{k,N}\bigr)_{N} ( ∑ k = 1 l r k , N ) N converges to ∑ k = 1 l r k \sum_{k=1}^{l}r_{k} ∑ k = 1 l r k contains 1 1 1 and contains l + 1 l+1 l + 1 whenever it contains l l l , by claim 1 of Properties of Finite Sums and the law for sums, so it is N \mathbb{N} N by Principle of Induction for the Natural Numbers ; and if ( r N ) (r_{N}) ( r N ) converges to r r r , the set of q ∈ N q\in\mathbb{N} q ∈ N such that ( r N q ) N (r_{N}^{q})_{N} ( r N q ) N converges to r q r^{q} r q contains 1 1 1 and contains q + 1 q+1 q + 1 whenever it contains q q q , by claim 1 of Properties of Natural Number Powers in a Field and the law for products, so it is N \mathbb{N} N by the same axiom (for the exponent 0 0 0 all terms are 1 1 1 ).
Step 0 (Vectors with finitely many nonzero coordinates). Let f ∈ X f\in X f ∈ X and N ∈ N N\in\mathbb{N} N ∈ N with f k = 0 f_{k}=0 f k = 0 for k > N k>N k > N . For n > N n>N n > N the n n n -th partial sum of ∑ k f k 2 / c k \sum_{k}f_{k}^{2}/c_{k} ∑ k f k 2 / c k equals ∑ k = 1 N f k 2 / c k \sum_{k=1}^{N}f_{k}^{2}/c_{k} ∑ k = 1 N f k 2 / c k , by Splitting a Finite Sum at an Index (with N N N and n − N n-N n − N in place of m m m and n n n there), the second part being a sum of zeros and hence 0 0 0 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 ∈ H c f\in H_{c} f ∈ H c and ∣ f ∣ c 2 = ∑ k = 1 N f k 2 / c k |f|_{c}^{2}=\sum_{k=1}^{N}f_{k}^{2}/c_{k} ∣ f ∣ c 2 = ∑ 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 ∈ H c g\in H_{c} g ∈ H c , ⟨ f , g ⟩ c = ∑ k = 1 N f k g k / c k \langle f,g\rangle_{c}=\sum_{k=1}^{N}f_{k}g_{k}/c_{k} ⟨ f , g ⟩ c = ∑ 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 ∈ X x\in X x ∈ X the Paley-Wiener partial sums satisfy ℓ f , n ( x ) = ∑ k = 1 N f k x k / c k \ell_{f,n}(x)=\sum_{k=1}^{N}f_{k}x_{k}/c_{k} ℓ f , n ( x ) = ∑ k = 1 N f k x k / c k for n ≥ N n\ge N n ≥ N (The Paley-Wiener Functional of a Vector Relative to a Variance Sequence §partial-sums ), so the sequence converges and ℓ f ( x ) = ∑ k = 1 N ( f k / c k ) x k \ell_{f}(x)=\sum_{k=1}^{N}(f_{k}/c_{k})x_{k} ℓ f ( x ) = ∑ 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 ∈ X h\in X h ∈ X and N ∈ N N\in\mathbb{N} N ∈ N let h [ N ] = ∑ i = 1 N h i e i h^{[N]}=\sum_{i=1}^{N}h_{i}e_{i} h [ N ] = ∑ 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 ), h k [ N ] = ∑ i = 1 N h i ⟨ e i , e k ⟩ h^{[N]}_{k}=\sum_{i=1}^{N}h_{i}\langle e_{i},e_{k}\rangle h k [ N ] = ∑ i = 1 N h i ⟨ e i , e k ⟩ equals h k h_{k} h k for k ≤ N k\le N k ≤ N and 0 0 0 for k > N k>N k > N , by claim 7 of Properties of Finite Sums (for k ≤ N k\le N k ≤ N the only possibly nonzero summand is the one with i = k i=k i = k ; for k > N k>N k > N all summands vanish). Hence h [ N ] ∈ H c h^{[N]}\in H_{c} h [ N ] ∈ H c , and ℓ h [ N ] ( x ) = ∑ k = 1 N h k x k / c k = ℓ h , N ( x ) \ell_{h^{[N]}}(x)=\sum_{k=1}^{N}h_{k}x_{k}/c_{k}=\ell_{h,N}(x) ℓ h [ N ] ( x ) = ∑ k = 1 N h k x k / c k = ℓ h , N ( x ) for every x ∈ X x\in X x ∈ X .
Step 1 (A multinomial addition formula). Let N ∈ N N\in\mathbb{N} N ∈ N , v 1 , … , v N ≥ 0 v_{1},\dots,v_{N}\ge0 v 1 , … , v N ≥ 0 , u 1 , … , u N ∈ R u_{1},\dots,u_{N}\in\mathbb{R} u 1 , … , u N ∈ R and n ∈ N 0 n\in\mathbb{N}_{0} n ∈ N 0 , and let T n , N T_{n,N} T n , N be the set of a ∈ N 0 N a\in\mathbb{N}_{0}^{N} a ∈ N 0 N with a 1 + ⋯ + a N = n a_{1}+\dots+a_{N}=n a 1 + ⋯ + a N = n . It contains the tuple ( n , 0 , … , 0 ) (n,0,\dots,0) ( n , 0 , … , 0 ) , and each a ∈ T n , N a\in T_{n,N} a ∈ T n , N has a k ≤ n a_{k}\le n a k ≤ n for all k k k by claim 6 of Properties of Finite Sums ; so T n , N T_{n,N} T n , N is a nonempty subset of the set of N N N -tuples in { 0 , … , n } \{0,\dots,n\} { 0 , … , n } , which is finite by claim 3 of Finiteness of Cartesian Products, Tuple Sets, and Permutation Sets ({ 0 , … , n } \{0,\dots,n\} { 0 , … , n } being the image of [ n + 1 ] [n+1] [ n + 1 ] under k ↦ k − 1 k\mapsto k-1 k ↦ k − 1 , so finite by claim 4 of Basic Properties of Finite Sets ), and T n , N T_{n,N} T 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
H n v 1 + ⋯ + v N ( u 1 + ⋯ + u N ) = ∑ a ∈ T n , N n ! a 1 ! ⋯ a N ! ∏ k = 1 N H a k v k ( u k ) . (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} H n v 1 + ⋯ + v N ( u 1 + ⋯ + u N ) = a ∈ T n , N ∑ a 1 ! ⋯ a N ! n ! k = 1 ∏ N H a k v k ( u k ) . ( A )
Let K K K be the set of N ∈ N N\in\mathbb{N} N ∈ N such that (A) holds for all v 1 , … , v N ≥ 0 v_{1},\dots,v_{N}\ge0 v 1 , … , v N ≥ 0 , u 1 , … , u N ∈ R u_{1},\dots,u_{N}\in\mathbb{R} u 1 , … , u N ∈ R and n ∈ N 0 n\in\mathbb{N}_{0} n ∈ N 0 . Then 1 ∈ K 1\in K 1 ∈ K : T n , 1 = { ( n ) } T_{n,1}=\{(n)\} T n , 1 = {( n )} , the coefficient is n ! / n ! = 1 n!/n!=1 n ! / 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 ∈ K N\in K N ∈ K , let v 1 , … , v N + 1 ≥ 0 v_{1},\dots,v_{N+1}\ge0 v 1 , … , v N + 1 ≥ 0 , u 1 , … , u N + 1 ∈ R u_{1},\dots,u_{N+1}\in\mathbb{R} u 1 , … , u N + 1 ∈ R and n ∈ N 0 n\in\mathbb{N}_{0} n ∈ N 0 , and let V = ∑ k ≤ N v k ≥ 0 V=\sum_{k\le N}v_{k}\ge0 V = ∑ k ≤ N v k ≥ 0 , U = ∑ k ≤ N u k U=\sum_{k\le N}u_{k} U = ∑ k ≤ N u k , so that ∑ k ≤ N + 1 v k = V + v N + 1 \sum_{k\le N+1}v_{k}=V+v_{N+1} ∑ k ≤ N + 1 v k = V + v N + 1 and ∑ k ≤ N + 1 u k = U + u N + 1 \sum_{k\le N+1}u_{k}=U+u_{N+1} ∑ k ≤ 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 = V v=V v = V , w = v N + 1 w=v_{N+1} w = v N + 1 , s = U s=U s = U , t = u N + 1 t=u_{N+1} t = u N + 1 ), (A) for N N N applied to each H j V ( U ) H^{V}_{j}(U) H j V ( U ) (as N ∈ K N\in K N ∈ 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 ( n j ) H n − j v N + 1 ( u N + 1 ) \binom{n}{j}H^{v_{N+1}}_{n-j}(u_{N+1}) ( j n ) H n − j v N + 1 ( u N + 1 ) inside,
H n V + v N + 1 ( U + u N + 1 ) = ∑ j = 0 n ∑ a ∈ T j , N ( n j ) j ! a 1 ! ⋯ a N ! ∏ k = 1 N H a k v k ( u k ) H n − j v N + 1 ( u N + 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}). H n V + v N + 1 ( U + u N + 1 ) = j = 0 ∑ n a ∈ T j , N ∑ ( j n ) a 1 ! ⋯ a N ! j ! k = 1 ∏ N H a k v k ( u k ) H n − j v N + 1 ( u N + 1 ) .
For j ∈ { 0 , … , n } j\in\{0,\dots,n\} j ∈ { 0 , … , n } and a ∈ T j , N a\in T_{j,N} a ∈ T j , N put φ ( j , a ) = b = ( a 1 , … , a N , n − j ) \varphi(j,a)=b=(a_{1},\dots,a_{N},n-j) φ ( j , a ) = b = ( a 1 , … , a N , n − j ) ; then b ∈ T n , N + 1 b\in T_{n,N+1} b ∈ T n , N + 1 by claim 1 of Properties of Finite Sums . By the definition of ( n j ) \binom{n}{j} ( j n ) in Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §integers , ( n j ) j ! a 1 ! ⋯ a N ! = n ! a 1 ! ⋯ a N ! ( n − j ) ! \binom{n}{j}\frac{j!}{a_{1}!\cdots a_{N}!}=\frac{n!}{a_{1}!\cdots a_{N}!\,(n-j)!} ( j n ) a 1 ! ⋯ a N ! j ! = a 1 ! ⋯ a N ! ( n − j )! n ! , 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) ( j , a ) equals n ! b 1 ! ⋯ b N + 1 ! ∏ k = 1 N + 1 H b k v k ( u k ) \frac{n!}{b_{1}!\cdots b_{N+1}!}\prod_{k=1}^{N+1}H^{v_{k}}_{b_{k}}(u_{k}) b 1 ! ⋯ b N + 1 ! n ! ∏ k = 1 N + 1 H b k v k ( u k ) . Let P P P be the set of ordered pairs ( j , a ) (j,a) ( j , a ) with j ∈ { 0 , … , n } j\in\{0,\dots,n\} j ∈ { 0 , … , n } and a ∈ T j , N a\in T_{j,N} a ∈ T j , N . The map φ \varphi φ is a bijection from P P P onto T n , N + 1 T_{n,N+1} T n , N + 1 , with inverse b ↦ ( n − b N + 1 , ( b 1 , … , b N ) ) b\mapsto(n-b_{N+1},(b_{1},\dots,b_{N})) b ↦ ( n − b N + 1 , ( b 1 , … , b N )) (here b N + 1 ≤ n b_{N+1}\le n b N + 1 ≤ n by claim 6 and ∑ k ≤ N b k = n − b N + 1 \sum_{k\le N}b_{k}=n-b_{N+1} ∑ k ≤ N b k = n − b N + 1 by claim 1 of Properties of Finite Sums ). The outer sum from 0 0 0 (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\} { 0 , … , n } in the sense of Sum over a Finite Index Set , computed along the enumeration k ↦ k − 1 k\mapsto k-1 k ↦ k − 1 of [ n + 1 ] [n+1] [ n + 1 ] : this is immediate if n = 0 n=0 n = 0 , and follows from Splitting a Finite Sum at an Index (with 1 1 1 and n n n in place of m m m and n n n there) if n ≥ 1 n\ge1 n ≥ 1 . Since each T j , N T_{j,N} T 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 P P P of the same terms. Finally, if χ : [ p ] → P \chi:[p]\to P χ : [ p ] → P is a bijection, so is φ ∘ χ : [ p ] → T n , N + 1 \varphi\circ\chi:[p]\to T_{n,N+1} φ ∘ χ : [ p ] → T n , N + 1 , and by Sum over a Finite Index Set both the sum over P P P and the sum over T n , N + 1 T_{n,N+1} T n , N + 1 of the corresponding terms equal ∑ k = 1 p \sum_{k=1}^{p} ∑ k = 1 p of the term indexed by χ ( k ) \chi(k) χ ( k ) , the choice of enumeration being immaterial since two enumerations differ by a permutation of [ p ] [p] [ p ] (Invariance of Finite Sums and Products under Reindexing by a Permutation ). This gives (A) for N + 1 N+1 N + 1 and the given data; so N + 1 ∈ K N+1\in K N + 1 ∈ K , and K = N K=\mathbb{N} K = N by Principle of Induction for the Natural Numbers .
Step 2 (Claim 2). Let h h h and N N N be as in claim 2 and x ∈ X x\in X x ∈ X . By Step 0, ℓ h ( x ) = ∑ k = 1 N u k \ell_{h}(x)=\sum_{k=1}^{N}u_{k} ℓ h ( x ) = ∑ k = 1 N u k with u k = ( h k / c k ) x k u_{k}=(h_{k}/c_{k})x_{k} u k = ( h k / c k ) x k , and ∣ h ∣ c 2 = ∑ k = 1 N v k |h|_{c}^{2}=\sum_{k=1}^{N}v_{k} ∣ h ∣ c 2 = ∑ k = 1 N v k with v k = h k 2 / c k ≥ 0 v_{k}=h_{k}^{2}/c_{k}\ge0 v k = h k 2 / c k ≥ 0 . By The Wick Powers of a Paley-Wiener Functional §wick and (A),
: ℓ h n : ( x ) = ∑ a ∈ T n , N n ! a 1 ! ⋯ a N ! ∏ k = 1 N H a k v k ( u k ) . {:}\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}). : ℓ h n : ( x ) = a ∈ T n , N ∑ a 1 ! ⋯ a N ! n ! k = 1 ∏ N H a k v k ( u k ) .
By Hermite Polynomials: Low Orders, Derivatives, Recursion, Scaling, the Addition Formula, Gaussian Orthogonality and the Mehler Identity §scaling with r = h k / c k r=h_{k}/c_{k} r = h k / c k , v = c k v=c_{k} v = c k , t = x k t=x_{k} t = x k , and since r 2 c k = h k 2 / c k = v k r^{2}c_{k}=h_{k}^{2}/c_{k}=v_{k} r 2 c k = h k 2 / c k = v k , we get H a k v k ( u k ) = ( h k / c k ) a k H a k c k ( x k ) H^{v_{k}}_{a_{k}}(u_{k})=(h_{k}/c_{k})^{a_{k}}H^{c_{k}}_{a_{k}}(x_{k}) H a k v k ( u k ) = ( h k / c k ) a k H a k c k ( x k ) . The map sending a ∈ T n , N a\in T_{n,N} a ∈ T n , N to the multi-index with terms a 1 , … , a N a_{1},\dots,a_{N} a 1 , … , a N followed by zeros is a bijection onto A n , N \mathcal{A}_{n,N} A n , N (N N N being a length bound for each element of A n , N \mathcal{A}_{n,N} A n , N , whose order is then ∑ k ≤ N α k \sum_{k\le N}\alpha_{k} ∑ k ≤ N α k ); and with the length bound N N N , α ! = ∏ k ≤ N a k ! \alpha!=\prod_{k\le N}a_{k}! α ! = ∏ k ≤ N a k ! , ( h / c ) α = ∏ k ≤ N ( h k / c k ) a k (h/c)^{\alpha}=\prod_{k\le N}(h_{k}/c_{k})^{a_{k}} ( h / c ) α = ∏ k ≤ N ( h k / c k ) a k (Finitely Supported Multi-Indices: Order, Factorial, Powers and Weighted Order §order ) and H α ( x ) = ∏ k ≤ N H a k c k ( x k ) H_{\alpha}(x)=\prod_{k\le N}H^{c_{k}}_{a_{k}}(x_{k}) H α ( x ) = ∏ k ≤ N H a k c 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 ( h k / c k ) a k H a k c k ( x k ) \prod_{k\le N}(h_{k}/c_{k})^{a_{k}}H^{c_{k}}_{a_{k}}(x_{k}) ∏ k ≤ N ( h k / c k ) a k H a k c k ( x k ) as ( h / c ) α H α ( x ) (h/c)^{\alpha}H_{\alpha}(x) ( h / c ) α H α ( x ) , and reindexing the sum along this bijection as at the end of Step 1, gives claim 2; in particular A n , N \mathcal{A}_{n,N} A n , N , the image of the finite set T n , N T_{n,N} T n , N , is finite (claim 4 of Basic Properties of Finite Sets ).
Step 3 (Covariance for finitely many coordinates). Let h , g ∈ X h,g\in X h , g ∈ X and N ∈ N N\in\mathbb{N} N ∈ N with h k = g k = 0 h_{k}=g_{k}=0 h k = g k = 0 for k > N k>N k > N (so h , g ∈ H c h,g\in H_{c} h , g ∈ H c by Step 0), and m , n ∈ N 0 m,n\in\mathbb{N}_{0} m , n ∈ N 0 . By claim 2, : ℓ h m : = ∑ α ∈ A m , N a α H α {:}\ell_{h}^{m}{:}=\sum_{\alpha\in\mathcal{A}_{m,N}}a_{\alpha}H_{\alpha} : ℓ h m : = ∑ α ∈ A m , N a α H α and : ℓ g n : = ∑ β ∈ A n , N b β H β {:}\ell_{g}^{n}{:}=\sum_{\beta\in\mathcal{A}_{n,N}}b_{\beta}H_{\beta} : ℓ g n : = ∑ β ∈ A n , N b β H β pointwise, with a α = m ! α ! ( h / c ) α a_{\alpha}=\frac{m!}{\alpha!}(h/c)^{\alpha} a α = α ! m ! ( h / c ) α and b β = n ! β ! ( g / c ) β b_{\beta}=\frac{n!}{\beta!}(g/c)^{\beta} b β = β ! n ! ( g / c ) β . Each H α H_{\alpha} H α is Borel with class in L 2 L^{2} L 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 2 2 2 -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 : ℓ h m : : ℓ g n : {:}\ell_{h}^{m}{:}\,{:}\ell_{g}^{n}{:} : ℓ h m : : ℓ g n : is integrable with integral ⟨ : ℓ h m : , : ℓ g n : ⟩ L 2 ( γ c ) \langle{:}\ell_{h}^{m}{:},{:}\ell_{g}^{n}{:}\rangle_{L^{2}(\gamma_{c})} ⟨ : ℓ h m : , : ℓ g n : ⟩ L 2 ( γ c ) , and by Inner Products Against Finite Sums, and Orthonormal Families, in a Real Inner Product Space §combinations (twice; the sums over A m , N \mathcal{A}_{m,N} A m , N and A n , N \mathcal{A}_{n,N} 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 : ℓ h m : : ℓ g n : d γ c = ∑ α ∈ A m , N ∑ β ∈ A n , N a α b β ⟨ H α , H β ⟩ L 2 ( γ c ) . \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})}. ∫ X : ℓ h m : : ℓ g n : d γ c = α ∈ A m , N ∑ β ∈ A n , N ∑ a α b β ⟨ H α , H β ⟩ L 2 ( γ c ) .
If m ≠ n m\ne n m = n , every pair has ∣ α ∣ ≠ ∣ β ∣ |\alpha|\ne|\beta| ∣ α ∣ = ∣ β ∣ , so α ≠ β \alpha\ne\beta α = β , every term is 0 0 0 , 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 = n m=n m = n , then for fixed α \alpha α every term of the inner sum with β ≠ α \beta\ne\alpha β = α 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\} { α } ) and claim 1 of Peeling, Splitting, and Interchange for Sums over a Finite Index Set the inner sum is a α b α α ! c α a_{\alpha}b_{\alpha}\,\alpha!\,c^{\alpha} a α b α α ! c α . Moreover ( h k / c k ) a ( g k / c k ) a c k a = ( h k g k / c k ) a (h_{k}/c_{k})^{a}(g_{k}/c_{k})^{a}c_{k}^{a}=(h_{k}g_{k}/c_{k})^{a} ( h k / c k ) a ( g k / c k ) a c k a = ( h k g k / c k ) a for a ∈ N 0 a\in\mathbb{N}_{0} a ∈ N 0 , by claim 3 of Properties of Natural Number Powers in a Field (trivially if a = 0 a=0 a = 0 ), so claim 2 of Properties of Finite Products , with the length bound N N N , gives ( h / c ) α ( g / c ) α c α = ∏ k = 1 N ( h k g k / c k ) α k (h/c)^{\alpha}(g/c)^{\alpha}c^{\alpha}=\prod_{k=1}^{N}(h_{k}g_{k}/c_{k})^{\alpha_{k}} ( h / c ) α ( g / c ) α c α = ∏ k = 1 N ( h k g k / c k ) α k . Hence
∫ X : ℓ h n : : ℓ g n : d γ c = ∑ α ∈ A n , N ( n ! α ! ) 2 ( h / c ) α ( g / c ) α α ! c α = n ! ∑ a ∈ T n , N n ! a 1 ! ⋯ a N ! ∏ k = 1 N ( h k g k c k ) a k = n ! ( ∑ k = 1 N h k g k c k ) 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}, ∫ X : ℓ h n : : ℓ g n : d γ c = α ∈ A n , N ∑ ( α ! n ! ) 2 ( h / c ) α ( g / c ) α α ! c α = n ! a ∈ T n , N ∑ a 1 ! ⋯ a N ! n ! k = 1 ∏ N ( c k h k g k ) a k = n ! ( k = 1 ∑ N c k h k g k ) n ,
using the bijection of Step 2 and Multinomial Theorem (with m = N m=N m = N , d = n d=n d = n , a k = h k g k / c k a_{k}=h_{k}g_{k}/c_{k} a k = h k g k / c k ). By Step 0 the last expression is n ! ⟨ h , g ⟩ c n n!\,\langle h,g\rangle_{c}^{\,n} n ! ⟨ h , g ⟩ c n .
Step 4 (The truncated Wick powers form a Cauchy sequence). Let h ∈ H c h\in H_{c} h ∈ H c , n ∈ N 0 n\in\mathbb{N}_{0} n ∈ N 0 , and for N ∈ N N\in\mathbb{N} N ∈ N let W N = : ℓ h [ N ] n : W_{N}={:}\ell_{h^{[N]}}^{n}{:} W N = : ℓ h [ N ] n : , an element of L 2 L^{2} L 2 by Step 3, and s N = ∑ k = 1 N h k 2 / c k s_{N}=\sum_{k=1}^{N}h_{k}^{2}/c_{k} s N = ∑ k = 1 N h k 2 / c k . By Step 0, ∣ h [ N ] ∣ c 2 = s N |h^{[N]}|_{c}^{2}=s_{N} ∣ h [ N ] ∣ c 2 = s N and, for N ≤ M N\le M N ≤ M , ⟨ h [ N ] , h [ M ] ⟩ c = ⟨ h [ M ] , h [ N ] ⟩ c = s N \langle h^{[N]},h^{[M]}\rangle_{c}=\langle h^{[M]},h^{[N]}\rangle_{c}=s_{N} ⟨ h [ N ] , h [ M ] ⟩ c = ⟨ h [ M ] , h [ N ] ⟩ c = s N . Let N ≤ M N\le M N ≤ M . Step 3, applied with the common bound M M M to the three pairs ( h [ M ] , h [ M ] ) (h^{[M]},h^{[M]}) ( h [ M ] , h [ M ] ) , ( h [ M ] , h [ N ] ) (h^{[M]},h^{[N]}) ( h [ M ] , h [ N ] ) and ( h [ N ] , h [ N ] ) (h^{[N]},h^{[N]}) ( h [ N ] , h [ N ] ) , all of which vanish beyond M M M , 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 L 2 L^{2} L 2 , gives ∥ W M ∥ 2 2 = n ! s M n \lVert W_{M}\rVert_{2}^{2}=n!\,s_{M}^{n} ∥ W M ∥ 2 2 = n ! s M n , ⟨ W M , W N ⟩ L 2 ( γ c ) = n ! s N n \langle W_{M},W_{N}\rangle_{L^{2}(\gamma_{c})}=n!\,s_{N}^{n} ⟨ W M , W N ⟩ L 2 ( γ c ) = n ! s N n and ∥ W N ∥ 2 2 = n ! s N n \lVert W_{N}\rVert_{2}^{2}=n!\,s_{N}^{n} ∥ W N ∥ 2 2 = n ! s N n . Hence, by Elementary Identities in a Real Inner Product Space §expansion ,
∥ W M − W N ∥ 2 2 = n ! ( s M n − 2 s N n + s N n ) = n ! ( s M n − s N n ) . \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). ∥ W M − W N ∥ 2 2 = n ! ( s M n − 2 s N n + s N n ) = n ! ( s M n − s N n ) .
By The Cameron-Martin Space of a Diagonal Gaussian Measure on a Hilbert Space §square and Series of Real Numbers §convergent , s N → ∣ h ∣ c 2 s_{N}\to|h|_{c}^{2} s N → ∣ h ∣ c 2 , so s N n → ∣ h ∣ c 2 n s_{N}^{n}\to|h|_{c}^{2n} s N n → ∣ h ∣ c 2 n by the limit laws. Given ε > 0 \varepsilon>0 ε > 0 choose N 0 N_{0} N 0 with ∣ s N n − ∣ h ∣ c 2 n ∣ < ε 2 / ( 2 n ! ) |s_{N}^{n}-|h|_{c}^{2n}|<\varepsilon^{2}/(2\,n!) ∣ s N n − ∣ h ∣ c 2 n ∣ < ε 2 / ( 2 n !) for N ≥ N 0 N\ge N_{0} N ≥ N 0 ; then ∥ W M − W N ∥ 2 2 < ε 2 \lVert W_{M}-W_{N}\rVert_{2}^{2}<\varepsilon^{2} ∥ W M − W N ∥ 2 2 < ε 2 , hence ∥ W M − W N ∥ 2 < ε \lVert W_{M}-W_{N}\rVert_{2}<\varepsilon ∥ W M − W N ∥ 2 < ε , for M , N ≥ N 0 M,N\ge N_{0} M , N ≥ N 0 . So ( W N ) (W_{N}) ( W N ) is Cauchy in ( L 2 , d ) (L^{2},d) ( L 2 , d ) , and since L 2 L^{2} L 2 is complete (Real Hilbert Space §hilbert ) it converges to some W ∈ L 2 W\in L^{2} W ∈ L 2 ; let w w w be a 2 2 2 -integrable representative of W W W .
Step 5 (Claim 1, and convergence of the truncations). Keep the notation of Step 4. Let C C C be the set of x ∈ X x\in X x ∈ X for which ( ℓ h , N ( x ) ) N (\ell_{h,N}(x))_{N} ( ℓ h , N ( x ) ) N converges; it is Borel with γ c ( C ) = 1 \gamma_{c}(C)=1 γ 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 ℓ h , N ( x ) → ℓ h ( x ) \ell_{h,N}(x)\to\ell_{h}(x) ℓ h , N ( x ) → ℓ h ( x ) for x ∈ C x\in C x ∈ C by The Paley-Wiener Functional of a Vector Relative to a Variance Sequence §functional . By Hermite Polynomials with a Given Variance §hermite , H n v ( t ) H^{v}_{n}(t) H n v ( t ) is a finite sum of fixed real multiples of products ( − v ) j t n − 2 j (-v)^{j}t^{n-2j} ( − v ) j t n − 2 j , so the limit laws show: if v N → v v_{N}\to v v N → v and t N → t t_{N}\to t t N → t with all v N , v ≥ 0 v_{N},v\ge0 v N , v ≥ 0 , then H n v N ( t N ) → H n v ( t ) H^{v_{N}}_{n}(t_{N})\to H^{v}_{n}(t) H n v N ( t N ) → H n v ( t ) . Since W N ( x ) = H n s N ( ℓ h , N ( x ) ) W_{N}(x)=H^{s_{N}}_{n}(\ell_{h,N}(x)) W N ( x ) = H n s N ( ℓ h , N ( x )) by Step 0, we get W N ( x ) → : ℓ h n : ( x ) W_{N}(x)\to{:}\ell_{h}^{n}{:}(x) W N ( x ) → : ℓ h n : ( x ) for every x ∈ C x\in C x ∈ C . The function H n ∣ h ∣ c 2 H^{|h|_{c}^{2}}_{n} H n ∣ h ∣ c 2 is of class C 2 C^{2} C 2 on R 1 \mathbb{R}^{1} 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 C k C^k C k Maps are Continuous it is continuous from R 1 \mathbb{R}^{1} R 1 into ( R , d R ) (\mathbb{R},d_{\mathbb{R}}) ( R , d R ) ; identifying R 1 \mathbb{R}^{1} R 1 with R \mathbb{R} R , whose Euclidean distance is d R d_{\mathbb{R}} d R by The Euclidean Distance on the Real Line is the Absolute Value Metric , it is continuous from ( R , d R ) (\mathbb{R},d_{\mathbb{R}}) ( R , d R ) to itself, hence Borel by claims 3 and 2 of Borel Measurability and Bounded Integration on a Metric Space , and ℓ h \ell_{h} ℓ 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 : ℓ h n : {:}\ell_{h}^{n}{:} : ℓ h n : is Borel by claim 4 of Borel Measurability and Bounded Integration on a Metric Space . Put f N = ( W N − w ) 2 f_{N}=(W_{N}-w)^{2} f N = ( W N − w ) 2 and u = ( : ℓ h n : − w ) 2 u=({:}\ell_{h}^{n}{:}-w)^{2} u = ( : ℓ 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 ( r N ) N ∈ N (r_{N})_{N\in\mathbb{N}} ( r N ) N ∈ N is a sequence of nonnegative reals converging to a real r r r , then lim inf N r N = sup K inf N ≥ K r N \liminf_{N}r_{N}=\sup_{K}\inf_{N\ge K}r_{N} lim inf N r N = sup K inf N ≥ K r N , formed in [ 0 , ∞ ] [0,\infty] [ 0 , ∞ ] as in Fatou's Lemma , equals r r r . Indeed, for K ∈ N K\in\mathbb{N} K ∈ N the infimum ι K = inf { r N : N ≥ K } \iota_{K}=\inf\{r_{N}:N\ge K\} ι K = inf { r N : N ≥ K } exists in [ 0 , ∞ ] [0,\infty] [ 0 , ∞ ] (Measure, Measure Space, and Probability Measure ), and ι K ≤ ι K ′ \iota_{K}\le\iota_{K'} ι K ≤ ι K ′ for K ≤ K ′ K\le K' K ≤ K ′ , the second set being contained in the first. Let ε > 0 \varepsilon>0 ε > 0 and, by Limit of a Sequence of Real Numbers , let K ε ∈ N K_{\varepsilon}\in\mathbb{N} K ε ∈ N with ∣ r N − r ∣ < ε |r_{N}-r|<\varepsilon ∣ r N − r ∣ < ε for all N ≥ K ε N\ge K_{\varepsilon} N ≥ K ε . For K ≥ K ε K\ge K_{\varepsilon} K ≥ K ε , r − ε r-\varepsilon r − ε is a lower bound of { r N : N ≥ K } \{r_{N}:N\ge K\} { r N : N ≥ K } , so r − ε ≤ ι K ≤ r K < r + ε r-\varepsilon\le\iota_{K}\le r_{K}<r+\varepsilon r − ε ≤ ι K ≤ r K < r + ε ; for K < K ε K<K_{\varepsilon} K < K ε , ι K ≤ ι K ε < r + ε \iota_{K}\le\iota_{K_{\varepsilon}}<r+\varepsilon ι K ≤ ι K ε < r + ε . Hence r + ε r+\varepsilon r + ε is an upper bound of all ι K \iota_{K} ι K , and r − ε ≤ ι K ε ≤ sup K ι K ≤ r + ε r-\varepsilon\le\iota_{K_{\varepsilon}}\le\sup_{K}\iota_{K}\le r+\varepsilon r − ε ≤ ι K ε ≤ sup K ι K ≤ r + ε . So σ = sup K ι K \sigma=\sup_{K}\iota_{K} σ = sup K ι K is real and ∣ σ − r ∣ ≤ ε |\sigma-r|\le\varepsilon ∣ σ − r ∣ ≤ ε for every ε > 0 \varepsilon>0 ε > 0 ; if σ ≠ r \sigma\ne r σ = r , the choice ε = ∣ σ − r ∣ / 2 \varepsilon=|\sigma-r|/2 ε = ∣ σ − r ∣/2 would give a contradiction, so σ = r \sigma=r σ = r . For x ∈ C x\in C x ∈ C , f N ( x ) → u ( x ) f_{N}(x)\to u(x) f N ( x ) → u ( x ) by the limit laws, so u = lim inf N f N u=\liminf_{N}f_{N} u = lim inf N f N on C C C 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 ,
∫ X u d γ c = ∫ X ( lim inf N f N ) d γ c ≤ lim inf N ∫ X f N d γ c = lim inf N ∥ W N − W ∥ 2 2 = 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, ∫ X u d γ c = ∫ X ( N lim inf f N ) d γ c ≤ N lim inf ∫ X f N d γ c = N lim inf ∥ W N − W ∥ 2 2 = 0 ,
where ∫ X f N d γ c = ∥ W N − W ∥ 2 2 \int_{X}f_{N}\,d\gamma_{c}=\lVert W_{N}-W\rVert_{2}^{2} ∫ X f N d γ c = ∥ W N − W ∥ 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 ∥ W N − W ∥ 2 2 → 0 \lVert W_{N}-W\rVert_{2}^{2}\to0 ∥ W N − W ∥ 2 2 → 0 by the limit laws. By The Lebesgue Integral and Null Sets: Almost-Everywhere Comparison, Markov's Inequality, and Dominated Convergence Almost Everywhere §vanishing , u = 0 u=0 u = 0 almost everywhere, that is : ℓ h n : = w {:}\ell_{h}^{n}{:}=w : ℓ h n : = w almost everywhere. Hence ( : ℓ h n : ) 2 = w 2 ({:}\ell_{h}^{n}{:})^{2}=w^{2} ( : ℓ h n : ) 2 = w 2 almost everywhere and ∫ X ( : ℓ h n : ) 2 d γ c = ∫ X w 2 d γ c < ∞ \int_{X}({:}\ell_{h}^{n}{:})^{2}\,d\gamma_{c}=\int_{X}w^{2}\,d\gamma_{c}<\infty ∫ X ( : ℓ h n : ) 2 d γ c = ∫ X w 2 d γ c < ∞ 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 : ℓ h n : {:}\ell_{h}^{n}{:} : ℓ h n : is W W W (The Lebesgue Space of Power-Integrable Functions §equivalence ), so
∥ : ℓ h [ N ] n : − : ℓ h n : ∥ 2 → 0 ( N → ∞ ) . (T) \bigl\lVert{:}\ell_{h^{[N]}}^{n}{:}-{:}\ell_{h}^{n}{:}\bigr\rVert_{2}\to0\qquad(N\to\infty).\tag{T} : ℓ h [ N ] n : − : ℓ h n : 2 → 0 ( N → ∞ ) . ( T )
Step 6 (Claim 3). Let h , g ∈ H c h,g\in H_{c} h , g ∈ H c and m , n ∈ N 0 m,n\in\mathbb{N}_{0} m , n ∈ N 0 . By claim 1 and The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §inner-product , the product : ℓ h m : : ℓ g n : {:}\ell_{h}^{m}{:}\,{:}\ell_{g}^{n}{:} : ℓ h m : : ℓ g n : is integrable with integral ⟨ : ℓ h m : , : ℓ g n : ⟩ L 2 ( γ c ) \langle{:}\ell_{h}^{m}{:},{:}\ell_{g}^{n}{:}\rangle_{L^{2}(\gamma_{c})} ⟨ : ℓ h m : , : ℓ g n : ⟩ L 2 ( γ c ) . By (T), which Steps 4 and 5 establish for every vector in H c H_{c} H c and every exponent in N 0 \mathbb{N}_{0} N 0 , applied to h h h with exponent m m m and to g g g with exponent n n n , and by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity , ⟨ : ℓ h [ N ] m : , : ℓ g [ N ] n : ⟩ L 2 ( γ c ) \langle{:}\ell_{h^{[N]}}^{m}{:},{:}\ell_{g^{[N]}}^{n}{:}\rangle_{L^{2}(\gamma_{c})} ⟨ : ℓ h [ N ] m : , : ℓ g [ N ] n : ⟩ L 2 ( γ c ) converges to this integral as N → ∞ N\to\infty N → ∞ . By Step 3 (with h [ N ] , g [ N ] h^{[N]},g^{[N]} h [ N ] , g [ N ] , which vanish beyond N N N ), where each such inner product was identified with the integral computed there, these inner products are 0 0 0 if m ≠ n m\ne n m = n , and equal n ! ( ∑ k = 1 N h k g k / c k ) n n!\bigl(\sum_{k=1}^{N}h_{k}g_{k}/c_{k}\bigr)^{n} n ! ( ∑ k = 1 N h k g k / c k ) n if m = n m=n m = n ; the latter converges to n ! ⟨ h , g ⟩ c n n!\,\langle h,g\rangle_{c}^{\,n} n ! ⟨ h , g ⟩ 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 ∈ H c f\in H_{c} f ∈ H c , ⟨ f , f ⟩ c = ∣ f ∣ c 2 \langle f,f\rangle_{c}=|f|_{c}^{2} ⟨ f , f ⟩ c = ∣ f ∣ c 2 , the two series being the same. Let h ( j ) h^{(j)} h ( j ) be as in claim 4, d ( j ) = h ( j ) − h ∈ H c d^{(j)}=h^{(j)}-h\in H_{c} d ( j ) = h ( j ) − h ∈ H c and δ j = ∣ d ( j ) ∣ c 2 → 0 \delta_{j}=|d^{(j)}|_{c}^{2}\to0 δ j = ∣ d ( j ) ∣ c 2 → 0 . By Elementary Identities in a Real Inner Product Space §bilinear and symmetry, h k ( j ) = h k + d k ( j ) h^{(j)}_{k}=h_{k}+d^{(j)}_{k} h k ( j ) = h k + d k ( j ) . By claim 3, applied to the three pairs ( h ( j ) , h ( j ) ) (h^{(j)},h^{(j)}) ( h ( j ) , h ( j ) ) , ( h ( j ) , h ) (h^{(j)},h) ( h ( j ) , h ) and ( h , h ) (h,h) ( h , h ) with m = n m=n m = 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 L 2 L^{2} L 2 , we get ∥ : ℓ h ( j ) n : ∥ 2 2 = n ! ∣ h ( j ) ∣ c 2 n \lVert{:}\ell_{h^{(j)}}^{n}{:}\rVert_{2}^{2}=n!\,|h^{(j)}|_{c}^{2n} ∥ : ℓ h ( j ) n : ∥ 2 2 = n ! ∣ h ( j ) ∣ c 2 n , ⟨ : ℓ h ( j ) n : , : ℓ h n : ⟩ L 2 ( γ c ) = 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} ⟨ : ℓ h ( j ) n : , : ℓ h n : ⟩ L 2 ( γ c ) = n ! ⟨ h ( j ) , h ⟩ c n and ∥ : ℓ h n : ∥ 2 2 = n ! ∣ h ∣ c 2 n \lVert{:}\ell_{h}^{n}{:}\rVert_{2}^{2}=n!\,|h|_{c}^{2n} ∥ : ℓ h n : ∥ 2 2 = n ! ∣ h ∣ c 2 n ; so Elementary Identities in a Real Inner Product Space §expansion gives
∥ : ℓ h ( j ) n : − : ℓ h n : ∥ 2 2 = n ! ( ∣ h ( j ) ∣ c 2 n − 2 ⟨ h ( j ) , h ⟩ c n + ∣ h ∣ c 2 n ) . \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). : ℓ h ( j ) n : − : ℓ h n : 2 2 = n ! ( ∣ h ( j ) ∣ c 2 n − 2 ⟨ h ( j ) , h ⟩ c n + ∣ h ∣ c 2 n ) .
Termwise, h k ( j ) h k / c k = h k 2 / c k + d k ( j ) h k / c k h^{(j)}_{k}h_{k}/c_{k}=h_{k}^{2}/c_{k}+d^{(j)}_{k}h_{k}/c_{k} h k ( j ) h k / c k = h k 2 / c k + d k ( j ) h k / c k and ( h k ( j ) ) 2 / c k = h k 2 / c k + 2 d k ( j ) h k / c k + ( d k ( j ) ) 2 / c k (h^{(j)}_{k})^{2}/c_{k}=h_{k}^{2}/c_{k}+2d^{(j)}_{k}h_{k}/c_{k}+(d^{(j)}_{k})^{2}/c_{k} ( h k ( j ) ) 2 / c k = h k 2 / c k + 2 d k ( j ) h k / c k + ( d k ( j ) ) 2 / c k , so Elementary Properties of Series of Real Numbers §linearity gives ⟨ h ( j ) , h ⟩ c = ∣ h ∣ c 2 + ⟨ d ( j ) , h ⟩ c \langle h^{(j)},h\rangle_{c}=|h|_{c}^{2}+\langle d^{(j)},h\rangle_{c} ⟨ h ( j ) , h ⟩ c = ∣ h ∣ c 2 + ⟨ d ( j ) , h ⟩ c and ∣ h ( j ) ∣ c 2 = ∣ h ∣ c 2 + 2 ⟨ d ( j ) , h ⟩ c + δ j |h^{(j)}|_{c}^{2}=|h|_{c}^{2}+2\langle d^{(j)},h\rangle_{c}+\delta_{j} ∣ h ( j ) ∣ c 2 = ∣ h ∣ c 2 + 2 ⟨ d ( j ) , h ⟩ c + δ j . Let t > 0 t>0 t > 0 . For every k k k , 0 ≤ ( t ∣ d k ( j ) ∣ − ∣ h k ∣ ) 2 0\le(t|d^{(j)}_{k}|-|h_{k}|)^{2} 0 ≤ ( t ∣ d k ( j ) ∣ − ∣ h k ∣ ) 2 gives ∣ d k ( j ) h k ∣ / c k ≤ 1 2 ( t ( d k ( j ) ) 2 / c k + h k 2 / ( t c k ) ) |d^{(j)}_{k}h_{k}|/c_{k}\le\tfrac12\bigl(t(d^{(j)}_{k})^{2}/c_{k}+h_{k}^{2}/(tc_{k})\bigr) ∣ d k ( j ) h k ∣/ c k ≤ 2 1 ( t ( d k ( j ) ) 2 / c k + h k 2 / ( t c k ) ) ; the series of the right-hand sides converges with sum 1 2 ( t δ j + ∣ h ∣ c 2 / t ) \tfrac12(t\delta_{j}+|h|_{c}^{2}/t) 2 1 ( t δ 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 ∣ ≤ 1 2 ( t δ j + ∣ h ∣ c 2 / t ) |\langle d^{(j)},h\rangle_{c}|\le\tfrac12(t\delta_{j}+|h|_{c}^{2}/t) ∣ ⟨ d ( j ) , h ⟩ c ∣ ≤ 2 1 ( t δ j + ∣ h ∣ c 2 / t ) . Given ε > 0 \varepsilon>0 ε > 0 , take t = ( ∣ h ∣ c 2 + 1 ) / ε t=(|h|_{c}^{2}+1)/\varepsilon t = ( ∣ h ∣ c 2 + 1 ) / ε , so that ∣ h ∣ c 2 / ( 2 t ) < ε / 2 |h|_{c}^{2}/(2t)<\varepsilon/2 ∣ h ∣ c 2 / ( 2 t ) < ε /2 , and j 0 j_{0} j 0 with δ j < ε / t \delta_{j}<\varepsilon/t δ j < ε / t for j ≥ j 0 j\ge j_{0} j ≥ j 0 ; then ∣ ⟨ d ( j ) , h ⟩ c ∣ < ε |\langle d^{(j)},h\rangle_{c}|<\varepsilon ∣ ⟨ d ( j ) , h ⟩ c ∣ < ε for j ≥ j 0 j\ge j_{0} j ≥ j 0 . Hence ⟨ d ( j ) , h ⟩ c → 0 \langle d^{(j)},h\rangle_{c}\to0 ⟨ d ( j ) , h ⟩ c → 0 , and by the limit laws ⟨ h ( j ) , h ⟩ c → ∣ h ∣ c 2 \langle h^{(j)},h\rangle_{c}\to|h|_{c}^{2} ⟨ h ( j ) , h ⟩ c → ∣ h ∣ c 2 , ∣ h ( j ) ∣ c 2 → ∣ h ∣ c 2 |h^{(j)}|_{c}^{2}\to|h|_{c}^{2} ∣ h ( j ) ∣ c 2 → ∣ h ∣ c 2 , and the right side of the display converges to n ! ( ∣ h ∣ c 2 n − 2 ∣ h ∣ c 2 n + ∣ h ∣ c 2 n ) = 0 n!(|h|_{c}^{2n}-2|h|_{c}^{2n}+|h|_{c}^{2n})=0 n ! ( ∣ h ∣ c 2 n − 2∣ h ∣ c 2 n + ∣ h ∣ c 2 n ) = 0 . Since the norms are nonnegative and a nonnegative real is below ε \varepsilon ε when its square is below ε 2 \varepsilon^{2} ε 2 , the norms converge to 0 0 0 . This proves claim 4.
Step 8 (Claim 5). For N ∈ N N\in\mathbb{N} N ∈ N , h k [ N ] = 0 h^{[N]}_{k}=0 h k [ N ] = 0 for k > N k>N k > N (Step 0), so by claim 2 the function : ℓ h [ N ] n : {:}\ell_{h^{[N]}}^{n}{:} : ℓ h [ N ] n : is the linear combination ∑ α ∈ A n , N n ! α ! ( h [ N ] / c ) α H α \sum_{\alpha\in\mathcal{A}_{n,N}}\frac{n!}{\alpha!}(h^{[N]}/c)^{\alpha}H_{\alpha} ∑ α ∈ A n , N α ! n ! ( h [ N ] / c ) α H α over the nonempty finite set A n , N ⊆ A n \mathcal{A}_{n,N}\subseteq\mathcal{A}_{n} A n , N ⊆ A n (it contains the multi-index with first term n n n and all others 0 0 0 ). By The Lebesgue Space of Power-Integrable Functions §space its class is the same combination of the classes H α H_{\alpha} H α , an element of the linear span of { H α : α ∈ A n } \{H_{\alpha}:\alpha\in\mathcal{A}_{n}\} { H α : α ∈ 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 , : ℓ h n : {:}\ell_{h}^{n}{:} : ℓ h n : lies in the closure of that span, which is H n \mathcal{H}_{n} H n by The Wiener Chaoses of a Diagonal Gaussian Measure on a Hilbert Space §chaos .