
arXiv: 1903.12223
Let $\calH$ be a separable infinite-dimensional $\C$-linear Hilbert space, with sesquilinear inner product $\langle\cdot,\cdot\rangle_\calH$. Given any two orthonormal systems $x_1,x_2,x_3,\ldots$ and $y_1,y_2,y_3,\ldots$ in $\calH$, we show that the weighted sums \[ S(l):=\sum_{j,k:j+k=l}\bigg(\frac{l}{jk}\bigg)^{\frac12}\, \langle x_j,y_k\rangle_{\calH} \] satisfy $|S(l)|^2\lessapprox2$ holds in an average sense. A construction due to Zachary Chase shows that this would not be true if the number $2$ is replaced by the smaller number $1.72$. In the construction, the system $y_1,y_2,y_3,\ldots$ is a permutation of the system $x_1,x_2,x_3,\ldots$. We interpret our bound in terms of the correlation $\expect ��(z)��(z)$ of two copies of a Gaussian analytic function with possibly intricate Gaussian correlation structure between them. The Gaussian analytic function we study arises in connection with the classical Dirichlet space, which is naturally M��bius invariant. The study of the correlations $\expect��(z)��(z)$ leads us to introduce a new space, the \emph{mock-Bloch space}, which is slightly bigger than the standard Bloch space. Our bound has an interpretation in terms of McMullen's asymptotic variance, originally considered for functions in the Bloch space. Finally, we show that the correlations $\expect��(z)��(w)$ may be expressed as Dirichlet symbols of contractions on $L^2(\D)$, and show that the Dirichlet symbols of Grunsky operators associated with univalent functions find a natural characterization in terms of a nonlinear wave equation.
23 pages
Random power series in one complex variable, Mathematics - Complex Variables, Kernel functions in one complex variable and applications, General theory of univalent and multivalent functions of one complex variable, Gaussian analytic function, Grunsky operator, Dirichlet space, asymptotic variance, Miscellaneous inequalities involving matrices, FOS: Mathematics, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Point processes (e.g., Poisson, Cox, Hawkes processes), Complex Variables (math.CV)
Random power series in one complex variable, Mathematics - Complex Variables, Kernel functions in one complex variable and applications, General theory of univalent and multivalent functions of one complex variable, Gaussian analytic function, Grunsky operator, Dirichlet space, asymptotic variance, Miscellaneous inequalities involving matrices, FOS: Mathematics, Norms of matrices, numerical range, applications of functional analysis to matrix theory, Point processes (e.g., Poisson, Cox, Hawkes processes), Complex Variables (math.CV)
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