Theoretical prediction identifies a trans-Neptunian object similar to Pluto, suggesting its geometric existence and characteristics.
Based on the discrete phase-locking structure of the Material Bubble Unified Theory , this paper predicts an unknown trans-Neptunian object—an "anti-phase twin" of Pluto. This object shares the same semi-major axis (39.509 AU) and 2:3 Neptune resonance with Pluto, but its orbital inclination is precisely -17.16^∘ (opposite to Pluto's +17.16^∘), and its longitude of ascending node is approximately 290^∘ (differing by 180^∘ from Pluto). Theoretical calculations yield its physical structure: radius 1188 km, mass 1.303×10²² kg, mean density 1.85\ g/cm^3, but with an ice shell about 5% thinner, atmospheric pressure only 10⁻⁴ times that of Pluto (about 10⁻³\ ), and surface relief of only a few millimeters. The existence of this object is a direct consequence of the covariant closure condition, and its location and parameters are entirely determined by geometric structure constants. This paper provides precise celestial coordinates, magnitude estimates, and search strategies, along with two explicit falsifiability conditions. The discovery or non-discovery of this object will serve as a critical test of the discrete phase-locking theory. ( 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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Yanlei Liu (2026) studied this question.
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