Probability & Determinism

Abstract This paper explores the intrinsic relationship between probability and determinism within the framework of the Duoverse, presenting a unified model in which time serves as the driving force behind the stabilization of probabilistic systems into deterministic structures. Using the fractal and recursive Chronotropy function, the interplay between mass, energy, and probability densities is mathematically formalized to describe the temporal collapse of wave functions. Probabilities initially exist as diffuse, stochastic distributions, constrained by entropic dispersion and evolving into deterministic states through iterative stabilization. Key phenomena, such as neural activity modeled through motor unit action potentials (MUAPs), illustrate how stochastic firings synchronize into coherent, deterministic patterns over time. The paper bridges quantum uncertainty and macroscopic stability, demonstrating how the temporal compounding of probabilities transforms randomness into causality. By balancing the dual forces of entropic dispersion and eutropic order, the framework offers a comprehensive explanation of how probability fields, such as those governing electrons and atoms, collapse into deterministic reality. This analysis underscores the emergence of determinism as an intrinsic property of time and its critical role in shaping both quantum and classical phenomena.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-12
DOI
https://doi.org/10.5281/zenodo.14407649
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

Probability & Determinism

Zenodo (CERN European Organization for Nuclear Research)
Advanced Thermodynamics and Statistical Mechanics
article

Probability & Determinism

article en

Abstract

Abstract This paper explores the intrinsic relationship between probability and determinism within the framework of the Duoverse, presenting a unified model in which time serves as the driving force behind the stabilization of probabilistic systems into deterministic structures. Using the fractal and recursive Chronotropy function, the interplay between mass, energy, and probability densities is mathematically formalized to describe the temporal collapse of wave functions. Probabilities initially exist as diffuse, stochastic distributions, constrained by entropic dispersion and evolving into deterministic states through iterative stabilization. Key phenomena, such as neural activity modeled through motor unit action potentials (MUAPs), illustrate how stochastic firings synchronize into coherent, deterministic patterns over time. The paper bridges quantum uncertainty and macroscopic stability, demonstrating how the temporal compounding of probabilities transforms randomness into causality. By balancing the dual forces of entropic dispersion and eutropic order, the framework offers a comprehensive explanation of how probability fields, such as those governing electrons and atoms, collapse into deterministic reality. This analysis underscores the emergence of determinism as an intrinsic property of time and its critical role in shaping both quantum and classical phenomena.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 71%
Advanced Thermodynamics and Statistical Mechanics
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