Unimodular Informational Gravity: A Self-Tuning Approach to the Cosmological Constant

Unimodular Informational Gravity: A Self-Tuning Approach to the Cosmological Constant Author: Alex De Giuseppe Description:This work introduces Unimodular Informational Gravity, a theoretical framework that combines unimodular gravity with concepts from information theory to address the cosmological constant problem. This provides a concrete, dynamical resolution to the longstanding cosmological constant problem. The model introduces a scalar field called structural density $\rho(x)$, which dynamically regulates spacetime curvature. Its non-linear evolution, together with a stabilizing potential, allows the vacuum energy contribution to self-tune, reducing the enormous quantum field predictions down to the observed value of the cosmological constant. Beyond resolving this fundamental problem, the framework naturally addresses several key cosmological phenomena: Hubble Tension: reproduces the observed expansion rate without additional tuning. Dark Matter Mimicry: gradients in the structural density create gravitational effects similar to dark matter, generating flat galactic rotation curves without introducing new particles. Big Bang Regularization: the potential for $\rho$ smooths initial singularities, providing a regular cosmological evolution. Arrow of Time: monotonic growth of an informational entropy associated with $\rho$ links the direction of time to the emergence of cosmic structure. The model makes testable predictions, including subtle deviations from $\Lambda$CDM in gravitational lensing, structure growth, and CMB signatures, offering a falsifiable and numerically testable framework. This work provides a proof-of-principle that the cosmological constant can be dynamically stabilized without fine-tuning, opening new perspectives on vacuum energy, dark matter, and early-universe cosmology. This manuscript is current in Official Peer Review. Not final version.Copyright©2026 Alex De Giuseppe.All rights reserved. This work is protected by copyright. Any form of plagiarism, unauthorized reproduction, or misappropriation of ideas, mathematically results, or text without proper citation constitutes a violation of academic and intellectual property standards and common laws. No commercial use, adaptation, or derivative works are permitted without explicit written permission from the author. For correspondence, citations, collaboration inquiries, or feedback please contact:[e-mail] The hash files that determine ownership have been created.