Temporal Flows and Evolution
Temporal Flows and Evolution In this, I aimed to work on how my model predicts the formation of particles through the interactions of temporal flows. My goal was to refine the details and highlight the key insight that flows are linear. As you’ll see, this linearity is crucial because nonlinear effects don't significantly alter the outcome as traditional models might suggest. Essentially, we're dealing with very small values of flows that accumulate over time, and this process remains consistent across the simulations I ran, supporting the idea that the dynamics work out similarly despite the complexity. Core Principles and Fundamental Equations 1. Temporal Flows and Evolution: Evolution Function L ( ϕ , ∇ ϕ ) : L(\phi, \nabla \phi): ϕ ( t + Δ t ) = ϕ ( t ) + L ( ϕ , ∇ ϕ ) \phi(t + \Delta t) = \phi(t) + L(\phi, \nabla \phi) Quantization in Planck Time: Temporal flows are quantized in steps of Planck time t P t_P , ensuring discrete evolution steps. This highlights how f...