In this paper, we obtain all possible general solutions of the sum form functional equations $$\begin{array}{cc}\hfill \sum _{i=1}^k\sum _{j=1}^{\ell }f\left(p_i{q}_j\right)=& \sum _{i=1}^{k}g\left(p_i\right)\sum _{j=1}^{\ell }h\left(q_j\right)\hfill \\ \hfill \text{and}\sum _{i=1}^k\sum _{j=1}^{\ell }F\left(p_i{q}_j\right)=& \sum _{i=1}^{k}G\left(p_i\right)+\sum _{j=1}^{\ell }H\left(q_j\right)+\lambda \sum _{i=1}^{k}G\left(p_i\right)\sum _{j=1}^{\ell }H\left(q_j\right)\hfill \end{array}$$ valid for all complete probability distributions $(p_1,...,p_k)$, $(q_1,...,q_{\ell })$, $k\ge 3$, $\ell \ge 3$ fixed integers; $\lambda \in ℝ$, $\lambda \ne 0$ and $F$, $G$, $H$, $f$, $g$, $h$ are real valued mappings each having the domain $I=[0,1]$, the unit closed interval.

A general formalization is given for asynchronous multiple access channels which admits different assumptions on delays. This general framework allows the analysis of so far unexplored models leading to new interesting capacity regions. The main result is the single letter characterization of the capacity region in case of 3 senders, 2 synchronous with each other and the third not synchronous with them.

Kullback's relative information and Kerridge's inaccuracy are two information-theoretic measures associated with a pair of probability distributions of a discrete random variable. The authors study a generalized measure which in particular contains a parametric generalization of relative information and inaccuracy. Some important properties of this generalized measure along with an inversion theorem are also studied.