Title: Chronometric Wave Function Dynamics

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper explores the application of dynamic, self-organizing mechanisms to the analysis and prediction of wave function evolution over time. We propose a novel framework centered on "chronometric resonance," a concept whereby the initial state of a wave function is continuously adjusted based on its historical trajectory, fostering a feedback loop that enhances predictive accuracy. The core of this work involves the development of a system capable of generating and refining wave function parameters in a continuous, iterative manner. This system leverages the principle of temporal dependencies inherent in complex systems, aiming to provide a more accurate and nuanced understanding of temporal dynamics. The goal is to move beyond static models and towards a dynamic, self-correcting approach to forecasting, offering a potentially transformative contribution to time series analysis and forecasting.

DOI: 10.5281/zenodo.22263597

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