Gravitational Collapse of Massive Superpositions from a Finite Distinguishability Budget: A Non-Radiating Objective-Collapse Mechanism
Justin Smith
Abstract
We derive an objective-collapse prediction for massive spatial superpositions from a singlepremise — that physical distinguishability is finite and discrete — and show that it evades thespontaneous-radiation bounds that exclude the parameter-free Di´osi–Penrose model. The mechanism is conservative: a superposition of a massive body in two locations is a superposition oftwo gravitational configurations, and when the gravitational self-energy difference ∆E betweenthem reaches the capacity of one distinguishability cell, coherence commits, on the timescaleτ ∼ℏ/∆E. This reproduces the Di´osi–Penrose collapse time, here derived rather than posited,with a regularisation length fixed without tuning as the nucleon Compton wavelength, giving acollapse mass ceiling of order 1012–1014 amu. The prediction is consistent with every matterwave interference experiment performed — at the current record (∼ 105 amu) the predictedcoherence time exceeds the experimental one by ten orders of magnitude — and lies withinreach of next-generation nanoparticle interferometry. Crucially, we derive the collapse masterequation and show that the momentum-diffusion coefficient, which controls spontaneous electromagnetic radiation and by which white-noise collapse models are experimentally excluded,vanishes exactly. The reason is structural: because the distinguishability ledger is discrete,the collapse rate as a function of branch separation is identically zero below a threshold — ahard step, not a smooth rise — so its curvature at zero separation, which sets the momentumdiffusion, is exactly zero. Localised charges therefore radiate nothing, and the undergroundradiation bounds do not apply. The result rests on one stated assumption, strict discreteness ofthe distinguishability count, which is the premise itself; granting it, the evasion of the radiationbounds is a theorem rather than a tuning.