Maximizing Generalized Relative Entropy for Count Vectors under Linear Constraints and its Concentration Property

The paper introduces a generalization of relative entropy to non-negative count vectors, and shows that under linear constraints, this generalized relative entropy exhibits a concentration phenomenon around its maximum value and the vector that maximizes it.