Local limit theorem for complex valued sequences
Lucas Coeuret
TL;DR
This work extends the local limit theorem from real-valued to complex-valued, finitely supported sequences on the integer lattice by employing a spatial-dynamics framework. The authors derive a full asymptotic expansion of the iterated convolution coefficients with explicit attractor terms and a generalized Gaussian remainder, valid to any order, through a careful analysis of the spatial Green's function and its resolvent. The main contribution is Theorem thPrinc, which expresses the asymptotics as a sum over tangency points $oldsymbol{ar extkappa}_k$ with polynomials $oldsymbol{\mathscr{P}}^k_ extsigma$ acting on generalized Gaussians $H_{2 extmu_k}^{eta_k}$, together with sharp bounds on the remainder. They further extend the results to drift-vanishing cases via a relaxed hypothesis H2 bis, provide detailed computations of the correction polynomials, and illustrate the results with numerical examples, including real nonnegative probabilistic sequences and an O3 transport scheme. The methodology and results have implications for stability and accuracy in finite-difference approximations of evolution equations and offer a precise higher-order generalization of the local limit theorem for complex-valued discrete systems.
Abstract
In this article, we study the pointwise asymptotic behavior of iterated convolutions on the one dimensional lattice Z. We generalize the so-called local limit theorem in probability theory to complex valued sequences. A sharp rate of convergence towards an explicitly computable attractor is proved together with a generalized Gaussian bound for the asymptotic expansion up to any order of the iterated convolution.
