A structure theorem for stochastic processes indexed by the discrete hypercube

Let $A$ be a finite set with $\mathrm{\mid }A\mathrm{\mid }⩾2$, let $n$ be a positive integer, and let $A^n$ denote the discrete $n$-dimensional hypercube (that is, $A^n$ is the Cartesian product of $n$ many copies of $A$). Given a family $\langle D_t:t\in A^n\rangle$ of measurable events in a probability space (a stochastic process), what structural information can be obtained assuming that the events $⟨D_t:t\in A^n⟩$ are not behaving as if they were independent? We obtain an answer to this problem (in a strong quantitative sense) subject to a mild “stationarity” condition. Our result has a number of combinatorial consequences, including a new (and the most informative so far) proof of the density Hales–Jewett theorem.