Entropic Vector

The entropic vector is a concept arising in information theory. Shannon's information entropy measures and their associated identities and inequalities (both constrained and unconstrained) have received a lot of attention over the past from the time Shannon introduced his concept of Information Entropy. A lot of inequalities and identities have been found and are available in standard Information Theory texts. But recent researchers have laid focus on trying to find all possible identities and inequalities (both constrained and unconstrained) on such entropies and characterize them. Entropic vector lays down the basic framework for such a study.