English

Affine AP-frames and Stationary Random Processes

Probability 2026-05-19 v2 Functional Analysis

Abstract

It is known that, in general, an affine or Gabor AP-frame is an L2(R)L^2(\mathbb{R})-frame and conversely. In part as a consequence of the Ergodic Theorem, we prove a necessary and sufficient condition for an affine (wavelet) system A={aj/2ψj,k(t):=aj/2ψ(ajtk):jZ,kK:=bZ}\mathcal{A}=\{a^{j/2} \psi_{j,k}(t):=a^{-j/2} \psi (a^{-j} t -k) :j\in\mathbb{Z}, k\in\mathbb{K}:=b\mathbb{Z}\} to be an affine AP-Frame in terms of Gaussian stationary random processes expanding in this way what we have done recently for Gabor systems. Likewise, we study a connection between the decay of the associated stationary sequences {X,ψj,k:kK}\{\langle{X,\psi_{j,k}}\rangle : k\in\mathbb{K}\} for each jZj\in\mathbb{Z}, and a smoothness condition on a Gaussian stationary random process X=(X(t))tRX=(X(t))_{t\in\mathbb{R}}.

Keywords

Cite

@article{arxiv.2507.15090,
  title  = {Affine AP-frames and Stationary Random Processes},
  author = {Hernán Diego Centeno and Juan Miguel Medina},
  journal= {arXiv preprint arXiv:2507.15090},
  year   = {2026}
}
R2 v1 2026-07-01T04:10:12.095Z