A Unified Scientific Framework, a Perspective Discovery of Hidden Fundamental Principles: Entropy Driven Stochastic-Based Emulation Framework

Read the full article

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

We present a self-consistent, operator-level unification framework governed by the equation: \[ \dot{y} = L\nabla H + M\nabla \mathcal{S}, \] with degeneracy constraints \(L^\top = -L\), \(M \succeq 0\), \(L\nabla \mathcal{S} = 0\), and \(M\nabla H = 0\). The formulation introduces a stochastic controller whose deterministic limit yields the renormalization-group (RG) flow under a logarithmic entropy clock \(\sigma = \ln(\mu / \mu_c)\). The thermodynamic entropy corresponds directly to the gauge-theoretic \(\beta\)-functions, and the one- and two-loop structures---including threshold corrections---emerge as physically valid limits of the controller dynamics. This demonstrates that the \(\beta\)-loop assumption in Gauge unification is not merely empirical but arises from entropy production. A corrective entropy term is identified for full cosmological integration into the framework. The framework, therefore, provides an operator-level proof of entropy-driven unification across thermodynamics, gauge theory, and cosmology, and identifies the additive entropy term as a potential source of undiscovered physical structure at both microscopic and macroscopic scales. The self-consistency of this framework is validated in both control-noise theory and through fundamental principle relations. It stands out from other GUT frameworks because it re-defines not just what unification means, but also informs us that Einstein's equations are simply a non-dissipative limit of foundational principles. Lastly, we provide an additional realization to show how quantum gravity may be best understood through discrete quanta. Ultimately, it is a paradigm shift in how we view symbolic modeling by clarifying the physical meaning of geometric structure.

Article activity feed