Non-Source Projection and Internal Identifiability
Joint probes and source identifiability
Joint probes and source identifiability
Definition 6.1 (Probe family and joint map).
Let be an index set and , , a family of admissible probes , maps whose values an observer can in principle obtain. Define the joint probe map and corestrict it to its image , so that is surjective. Write and the joint observational equivalence relation. The family identifies the source if .
Theorem 6.2 (Joint-probe identifiability).
The following are equivalent.
The probe family identifies the source.
is injective.
The probes separate the points of : for all there is with .
, the diagonal (i.e. equality).
There is a left inverse on the image: a map with .
Proof. (I1)(I2) is the definition of injectivity. (I2)(I3): holds iff for all ; so is injective iff no distinct pair agrees on every probe, which is (I3). (I3)(I4): means for all ; so reduces to equality iff distinct points are separated by some probe.
(I2)(I5). is injective by (I2) and surjective by corestriction, hence bijective; take , which satisfies .
(I5)(I2). If then . ◻
Corollary 6.3 (Residual ambiguity).
If , then the maximally identifiable object from the probe family is the quotient the bijection being induced by . No rule whose input is the probe values alone reconstructs individual source states within a nontrivial -class.
Proof. is precisely the kernel pair of : . Hence is well defined and injective on , and surjective onto by corestriction, giving (25). For the second claim, let be any map (a “rule”) and let . Then : the rule returns the same output on both, so it cannot name which of was realized. ◻
Proposition 6.4 (Monotonicity under added probes).
If (the probes of being among those of ), then and there is a canonical surjection
Proof. If then for every , hence for every , i.e. . This inclusion of equivalence relations makes (26) well defined (), and it is surjective because every class is hit by . ◻
Remark 40 (Direction of (26)). The map goes from the finer quotient to the coarser one. More probes means a finer partition, hence a larger quotient set, which surjects onto the smaller. There is in general no map back: information present in cannot be manufactured from .
Thus tomography is the intersection of probe fibers: one adds probes, and the joint fiber shrinks. Source recovery occurs precisely when that intersection reaches the diagonal. But we must be exact about what is and is not being claimed. Theorem 6.2 says when a family separates; it does not say that any particular physically available family does. Whether the probes an observer can actually run separate the source is a contingent fact about the model and the observer, not a theorem. The next section studies the case where, by hypothesis, they do not.