Choice of the state of complete uncertainty in a generalized probabilistic theory
Determine how to choose the distinguished interior state representing the state of complete uncertainty in a finite-dimensional generalized probabilistic theory, given that such a state need not be unique.
References
More generally, given a GPT state space, we may consider a state $|\mu)$ which is invariant under the reversible transformations which preserve the state space, and adopt this as the ``state of complete uncertainty'' . But in general, there may not be a single unique such state . Moreover, in classical and quantum theory, several ideas coincide: a state which is invariant under state space symmetries, the geometric center of the state space, the maximal entropy state. In terms of our reference measurement formalism, we might be inclined to pick a state corresponding to an eigenvector with eigenvalue 1 of $P(R|R)$: indeed, since $P(R|R)$ is column stochastic, it must have at least one such eigenvector which is a probability distribution : but in general, it will not have a unique such eigenvector. Thus the choice of $|\mu)$ depends essentially on the nature of the GPT. Of course, the simplest solution is to take the uniform average of all the extremal states. For our purposes, however, it suffices merely to distinguish some state $|\mu)$ in the interior of the state space, and we leave open the question of how to choose it.