Equivalence between distribution functions and probability measures on a LOTS

Abstract

In this paper we give some conditions such that there is an equivalence between probability measures and distribution functions defined on a separable linearly ordered topological space like it happens in the classical case. What is more, we prove that the pseudo-inverse of the cumulative distribution function is univocally related to a probability measure.