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A Conjecture of Matter:On the Mutual Winding Between Material Entities, Their Adherence to Space, and the Origin of Forces—Independent Testable Predictions

Authors: Liu, Yanlei;

A Conjecture of Matter:On the Mutual Winding Between Material Entities, Their Adherence to Space, and the Origin of Forces—Independent Testable Predictions

Abstract

This paper systematically presents six independent testable predictions based on the matter–matter mutual-winding theory [1,2]. The predictions span the fields of ultra-low-density physics (force-free random motion of isolated matter), micromechanics (quantitative test of spiral propulsion), materials science (critical structural instability induced by force-field–adherence positive feedback), astrophysics (enhanced spatial adherence effect in strong-field regions), and fundamental physics (shielding penetration effect of non-contact coupling). Each prediction is presented with a quantitative formula, observational suggestions, and explicit falsification conditions. (Note on AI-Assisted Computation Certain mathematical derivations and physical calculations in this paper were performed by an AI tool (large language model) based on the theoretical framework and postulate system provided by the author. Specifically, the AI tool contributed to: formula derivation, equation solving, integral evaluation, series summation, and recalculation verification of established quantum mechanical results. All physical insights, core assumptions, logical premises, and the theoretical framework itself were independently developed by the author. The AI tool served solely as an auxiliary instrument for mathematical derivation and computational verification, comparable in role to symbolic computation software or numerical tools routinely employed by researchers. The author has reviewed every derived result for physical plausibility, consistency with known experimental data, and logical coherence, and assumes full responsibility for all conclusions. This statement is provided in the interest of academic transparency, while clearly distinguishing between the originality of ideas and the auxiliary role of computation.)

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