Absorption Theory: A Conceptual Extension of Spacetime Interaction EN SP

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Authors: Ortega César
Cited by: 0

Abstract

Description / Abstract: Absorption Theory proposes a conceptual extension to current physical frameworks by interpreting mass and fundamental interactions as local processes of spacetime absorption. Instead of treating spacetime as a passive background or purely geometric structure, the theory suggests that matter actively absorbs spacetime at microscopic scales, giving rise to gravitational effects and inertial behavior. Within this framework, gravity is not introduced as a fundamental force but emerges from gradients in spacetime absorption around massive systems. This interpretation offers an alternative perspective compatible in spirit with relativistic curvature while remaining open to further mathematical formalization. At the quantum level, the theory introduces the notion of a quasi-particle propagating in a lower-dimensional manifold while retaining a free vector in an additional dimension (denoted as the Z vector). Wave–particle duality arises from the partial or complete projection of this free vector onto the observable manifold, with well-defined localization emerging when the projection collapses fully. Quantum entanglement is interpreted as the persistence of a shared free vector across spatially separated projections. Absorption Theory is presented as a speculative but structured framework aimed at unifying gravitational phenomena, wave–particle duality, and quantum entanglement under a common geometric and dynamical interpretation. The current work focuses on conceptual foundations and qualitative consistency with established theories, leaving detailed mathematical development and experimental validation as open directions for future research.

Fields of Study & Subjects

Relativity and Gravitational Theory Noncommutative and Quantum Gravity Theories Black Holes and Theoretical Physics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Dataset