A Hybrid Zernike-Lyapunov Framework for Aberration-Based Statistical Wavefront Reconstruction of Chaotic Optical Surfaces

Fuente: arXiv
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Autor principal: Moriya, Netzer
Formato: Preprint
Publicado: 2025
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_version_ 1866913904174563328
author Moriya, Netzer
author_facet Moriya, Netzer
contents We present a comprehensive theoretical framework that unifies chaotic wavefront dynamics with classical aberration theory through a Statistical Wavefront Reconstruction Framework (SWRF) formalism. By establishing rigorous connections between ray trajectory deflections and wave-optical phase perturbations through the eikonal equation, we decompose chaotic wavefront perturbations into modified Zernike-Lyapunov hybrid expansions, establishing mathematical equivalences between Lyapunov exponents, fractal dimensions, and traditional aberration coefficients. This chaotic aberration theory enables systematic incorporation of non-integrable wavefront dynamics into deterministic design frameworks, providing a rigorous foundation for controlled chaos in optical systems. We derive analytical relationships connecting surface chaos parameters to optical performance metrics, demonstrate the framework's validity through phase space analysis, and establish convergence criteria for the chaotic expansion. The theory reveals how chaotic surface geometries can be intentionally designed to achieve specific optical functionalities, including beam homogenization, speckle reduction, and novel wavefront shaping capabilities, while maintaining mathematical rigor comparable to classical aberration analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2506_16847
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Hybrid Zernike-Lyapunov Framework for Aberration-Based Statistical Wavefront Reconstruction of Chaotic Optical Surfaces
Moriya, Netzer
Optics
Mathematical Physics
Optimization and Control
49Mxx
We present a comprehensive theoretical framework that unifies chaotic wavefront dynamics with classical aberration theory through a Statistical Wavefront Reconstruction Framework (SWRF) formalism. By establishing rigorous connections between ray trajectory deflections and wave-optical phase perturbations through the eikonal equation, we decompose chaotic wavefront perturbations into modified Zernike-Lyapunov hybrid expansions, establishing mathematical equivalences between Lyapunov exponents, fractal dimensions, and traditional aberration coefficients. This chaotic aberration theory enables systematic incorporation of non-integrable wavefront dynamics into deterministic design frameworks, providing a rigorous foundation for controlled chaos in optical systems. We derive analytical relationships connecting surface chaos parameters to optical performance metrics, demonstrate the framework's validity through phase space analysis, and establish convergence criteria for the chaotic expansion. The theory reveals how chaotic surface geometries can be intentionally designed to achieve specific optical functionalities, including beam homogenization, speckle reduction, and novel wavefront shaping capabilities, while maintaining mathematical rigor comparable to classical aberration analysis.
title A Hybrid Zernike-Lyapunov Framework for Aberration-Based Statistical Wavefront Reconstruction of Chaotic Optical Surfaces
topic Optics
Mathematical Physics
Optimization and Control
49Mxx
url https://arxiv.org/abs/2506.16847