The GRW model supports robust macroscopic locations, but not universal exact point locations supplied by a list of particle coordinates. It modifies the wave function rather than adding the actual particle configuration of Bohmian mechanics. A claim that objects are located must therefore specify both the collapse dynamics and the proposed ontology. “Localized” is not synonymous with “has compact support” or “is a position eigenstate”.
Using one standard convention, a collapse on constituent with centre acts by the GRW localization operatorIts centre has probability density . Independent constituent collapse rates give a body with relevant constituents an approximately localization rate. Correlations within a macroscopic superposition allow one constituent's localization to suppress an entire alternative configuration: the GRW amplification mechanism.[ref]
Unified dynamics for microscopic and macroscopic systems by Giancarlo Ghirardi and others. 1986, spontaneous localization dynamics and the microscopic/macroscopic rate distinction
For two narrow packets separated by , a hit near one multiplies the other's relative amplitude approximately by . This explains a sharply concentrated pointer reading. Yet the Gaussian function is never zero at finite separation. A nonzero distant tail therefore remains, and a finite-width packet is not an exact position eigenstate. This is the tails problem in collapse theories.[ref]
Dynamical Reduction Models by Angelo Bassi and Giancarlo Ghirardi. §§10–11, mass-density interpretation and the tails problem
The assertion that each hit produces exact bounded support is false; an initially everywhere nonzero Gaussian wave packet is a concrete counterexample.A GRW matter-density ontology specifies matter in ordinary SPACE byA macroscopic body's density is concentrated near one region, making its approximate location physically meaningful. The formula is the proposed matter field itself, not a probability distribution over a hidden set of exact point positions. Residual tails correspond to very low density elsewhere, motivating the further question of why such tails do not constitute ordinary rival objects. Concentration provides a practical account of records; a full ontology must also address that structured-tail objection.
A GRW flash ontology instead identifies the primitive events with collapse centres in spacetime. Individual flashes have definite locations and times, while a persisting macroscopic object is a dense pattern of flashes. There is no continuous particle trajectory between them. An isolated microscopic system may flash rarely, so the model must not be read as assigning it an ordinary point location at every instant. Matter-density and flash accounts express distinct ontologies with related empirical predictions.[ref]
An approximate-location rule, such as requiring almost all matter density inside a suitably sized region, is meaningful if its tolerance and scale are stated. It does not turn the small tail into zero, and arbitrary sharp property thresholds can create artificial counting puzzles. The defensible result is emergent, highly stable macroscopic localization, or exact locations of flashes, depending on the ontology. Exact Bohmian positions are a different theoretical commitment and cannot be attributed to the collapse equation alone.
The Born rule assigns to a projective measurement with projection operators . Its numerical form can be shared by theories while the source of the probabilities differs. Comparing Bohmian mechanics, the GRW model and the many-worlds interpretation exposes three different roles: uncertainty over actual configurations, fundamental stochastic events, and weights for branch-relative expectation.
In Bohmian mechanics, the Schrödinger equation implies a probability continuity equation for with current , while the guidance equation transports an ensemble density with velocity :Thus is preserved: quantum equilibrium equivariance. If an apparatus interaction produces disjoint configuration regions with occupied-branch norm , integrating the equilibrium distribution gives . The actual outcome is fixed by initial configuration; the distribution describes the typical or uncertain configuration, not a fundamental random collapse. Equivariance alone does not prove equilibrium initially: every admissible density is transported by the velocity field. A typicality account privileges the equivariant measure and then explains subsystem statistics conditionally; that explanatory premise must not be hidden in the continuity equation.[ref]
Quantum Equilibrium and the Role of Operators as Observables in Quantum Theory by Detlef Dürr and others. analysis of measurement statistics from quantum equilibrium and configuration dynamics
In the GRW model, the centre law is part of the stochastic dynamics. Since , it is normalized. For two well-separated correlated pointer packets with coefficients , integration over centres around their respective occupied regions gives approximately ; cross-contributions are suppressed at separations large compared with . This explains why macroscopic records follow the Born rule approximately, without a special postulate applying only when an observer measures. However, the squared-norm centre law already carries the relevant mathematical probability structure. The theory relocates the rule into a universal physical law; it does not derive all probabilities from a deterministic equation. There are also small predicted deviations from standard unitary quantum mechanics.[ref]
Unified dynamics for microscopic and macroscopic systems by Giancarlo Ghirardi and others. 1986, normalized localization probabilities and macroscopic reduction
In the many-worlds interpretation, every nonzero decohering component persists, so the question is not which single global branch will survive. It is why a rational observer should use branch weight for expectation or caring about successor records. Equal-amplitude symmetry and decision theory motivate equal weights for physically equivalent alternatives. For rational , an ancillary refinement into equal-norm alternatives can motivate weight , followed by continuity for other amplitudes. This argument requires assumptions that refining irrelevant details does not change value, that preferences respect the relevant quantum symmetries, and that weight tracks the intended notion of expectation. Those are substantive premises, not consequences of branch existence alone.[ref]
Quantum Probability and Decision Theory, Revisited by David Wallace. rationality, equivalence and the scope of the decision-theoretic argument
Naive branch counting is unsuitable: decoherence yields approximate, refinement-dependent branches, and splitting one record into more environmental records should not change its weight. Nor is diagonality of a density matrix already an account of probability. The comparison therefore has no common derivation from bare formalism. Bohmian mechanics needs a justified equilibrium or typicality measure, GRW model needs a justified stochastic law, and an Everettian account needs a justified connection from branch structure and rationality to experienced statistics. Each offers a coherent location for the Born rule; the remaining explanatory costs differ.