We say a latent Λ′ is a “redund” over observables X1,...,Xn if and only if Λ′ is fully determined by each Xi individually, i.e. there exist functions fi such that Λ′=fi(Xi) for each i. In the approximate case, we weaken this condition to say that the entropy H(Λ′|Xi)≤ϵ for all i, for some approximation error ϵ.
I see your latest result has allowed you to streamline the definitions of redundancy and redunds.
I think attempting to require ϵred to be small in terms of ϵred′ would still run into my counterexample, right? (Setups could be constructed such that requiring ϵred to be ϵred′-small would cause ϵmed to scale arbitrarily with i, and vice versa. So in the general case, there may exist valid redunds with the redundancy error ϵred′ such that the maximal redund’s ϵred and ϵmed (and therefore ϵmed+2ϵred′) cannot both be ϵred′-small.)
Just skimmed for now...
I see your latest result has allowed you to streamline the definitions of redundancy and redunds.
I think attempting to require ϵred to be small in terms of ϵred′ would still run into my counterexample, right? (Setups could be constructed such that requiring ϵred to be ϵred′-small would cause ϵmed to scale arbitrarily with i, and vice versa. So in the general case, there may exist valid redunds with the redundancy error ϵred′ such that the maximal redund’s ϵred and ϵmed (and therefore ϵmed+2ϵred′) cannot both be ϵred′-small.)