PCN Equivalence Class Invariants and Information Quantities

The switching variables in a switching circuit are considered as binary random variables. The input signals are given joint probabilities, from which the output signals´ probabilities are known. The joint entropy, or average information content, of subsets of variables is defined, and a proof is given that a set of these entropies are characteristic invariants of the PCN equivalence classes.