Antigravity as Vector Gravity: Controlled Inertia and Engine Concept

Abstract

Anton Kleschev Alevtinowitch

We present a unified theoretical, computational, and engineering framework for Vector Gravity: a paradigm for the controlled manipulation of inertia and gravitational response by directionally steering the emergent effective metric structure. This framework reframes “antigravity” not as a suppression of gravity, but as an active, anisotropic modulation of the coupling between a deterministic, fundamental substrate—the Superposition Everything (SE) state— and observable physics. The core mechanism is a directionally-tunable spectral selection operator (“Luminissance,” L) acting during the ontological projection (PN) from the SE substrate to an observer’s accessible state space. This spectral regulator imprints a directional bias, parameterized by a preferred axis n, onto the effective metric Ge μν, leading to anisotropic inertial mass and apparent gravitational acceleration. Part I establishes this ontological formalism, derives the mapping from the regulator to the kinetic matrix of linear perturbations, and provides a rigorous stability diagnostic via its minimum eigenvalue (λmin).

Part II details a high-performance numerical pipeline for exhaustive parameter sweeps, generating 2D exclusion plots (αmax(p,γ)) and archival CSV datasets that demarcate the physically admissible, ghost-free parameter space, overlaid with experimental Weak Equivalence Principle (WEP) constraints. Part III synthesizes these theoretical and numerical constraints into concrete engineering concepts, including ring-resonator rotors, plasma-coupled demonstrators, and metamaterial-integrated hulls, proposing a staged experimental roadmap from tabletop anisotropy tests to integrated propulsive systems. By uniting an ontological foundation with a robust computational pipeline and actionable engineering designs, this work transitions the concept of controlled inertia from speculative theory to a falsifiable, reproducible research program with a clear path toward experimental validation.

PDF