Necessary and Sufficient Conditions for FKG Inequalities in Stochastic Processes

This paper establishes necessary and sufficient conditions for various stochastic processes, including Lévy processes, Bessel processes, and conditioned Brownian processes, to satisfy the FKG inequality, a fundamental correlation inequality in probability theory. The key tool is an approximation of these processes using Markov chains and random walks.