Published June 4, 2026 | Version v1

Marabūt's Theory of Gravity: Resolving the Black Hole Information Paradox

Description

This paper addresses and resolves the Black Hole Information Paradox, a fundamental incompatibility between General Relativity and Quantum Mechanics.

Legacy geometric models assert that physical information entering a Dimensionless Singularity is permanently destroyed upon evaporation via Hawking Radiation, directly violating Quantum Determinism and Unitarity. This paper resolves the paradox by utilizing the Fluid-Dynamic Framework of the Electron Flow Model (EFM). By replacing the mathematical impossibility of the singularity with a finite-volume Electron Void Gravitational Sphere (EVGS), we reframe the gravitational core not as a cosmic eraser, but as a Reversible Thermodynamic Engine.

Information is not destroyed; it is systematically processed via the Vacuum Flux and mechanically conserved through highly energized Positive Flux Exhaust. By explicitly defining information density ($\rho_{\text{info}}$) proportionally to Thermodynamic Impedance and local effective density, we demonstrate that the universal fluid strictly obeys classic Continuity Equations.

Furthermore, we present the Topological Reversibility Conjecture and a dimensionally precise, falsifiable prediction for Polar Jet Power, ensuring absolute quantum information preservation across the macroscopic vacuum structure.

The Unified Fluid Cosmos Framework:

This paper serves as Manuscript 20 Version 1 in the comprehensive series, Marabūt's Theory of Gravity. It presents the Electron Flow Model (EFM), a generative, fluid-dynamic framework designed to fundamentally replace Albert Einstein's General Relativity and standard quantum mechanics. The EFM shatters classical circularity with a single, undeniable foundational premise: Gravity is Pressure, not curvature, and not an intrinsic mass property.

Published Manuscripts in this Series:

Data & Code Availability:

To accompany this manuscript, we have open-sourced the complete Python mathematical engine and a fully interactive 3D web-based simulation of the EFM Volumetric Profiler. Researchers, developers, and students can visually explore the hydrodynamic vacuum flux across celestial bodies at:

Files

M20-Marabuts_Theory_of_Gravity-Resolving_the_Black_Hole_Information_Paradox.pdf

Additional details

Additional titles

Subtitle (English)
Deterministic Fluid Conservation in EVGS Engines

Software