The Viability and Predictive Power of Spiral Time Dynamics This document demonstrates the strength and consistency of Spiral Time dynamics by making the crucial leap from abstract theory to concrete, calculable physics. This process is broken down into two key steps: * Derivation of a New Fundamental Equation: From the core postulate of Spiral Time, a new, fundamental field equation is derived. This equation precisely describes how the Θ field is dynamically modulated by the Spiral Time function ψ(t), thereby establishing the mathematical foundation for all further analysis. * Simulation and Visualization of the Dynamics: To prove its practical applicability, the newly derived equation is implemented in a numerical Python simulation. The result, a diagram of the field's evolution over time, provides the first visual evidence of the system's unique and predictable behavior. This transforms the Spiral Time concept from a pure hypothesis into a mathematically consistent and testable model.
- Posted
- Server
- Zenodo
- DOI
- 10.5281/zenodo.15777574
The Viability and Predictive Power of Spiral Time Dynamics This document demonstrates the strength and consistency of Spiral Time dynamics by making the crucial leap from abstract theory to concrete, calculable physics. This process is broken down into two key steps: * Derivation of a New Fundamental Equation: From the core postulate of Spiral Time, a new, fundamental field equation is derived. This equation precisely describes how the Θ field is dynamically modulated by the Spiral Time function ψ(t), thereby establishing the mathematical foundation for all further analysis. * Simulation and Visualization of the Dynamics: To prove its practical applicability, the newly derived equation is implemented in a numerical Python simulation. The result, a diagram of the field's evolution over time, provides the first visual evidence of the system's unique and predictable behavior. This transforms the Spiral Time concept from a pure hypothesis into a mathematically consistent and testable model.