๐ค AI Summary
This paper addresses the explicit characterization and verification of composite monads $U$ formed from two monads $S$ and $T$ via weak distributive laws. We introduce the novel notion of *distribution contractions*, establishing a bijective correspondence with weak distributive lawsโyielding a computationally tractable, structural tool for identifying and constructing composite monads. Applying this framework to compact Hausdorff spaces, we derive the normalization fork monad and, for the first time, uncover its intrinsic connections to premetrics, smash products, and hyper/sublinear algebraic structures. Leveraging monad theory, split idempotent morphisms, and 2-categorical techniques, we uniformly treat Smyth, Hoare, and Plotkin hyperspace monads alongside the monad of continuous valuations, successfully constructing three semantically meaningful composite monads whose algebraic structures are explicitly characterized. This work strengthens the mathematical foundations of program semantics and nondeterministic analysis.
๐ Abstract
Given two monads $S$, $T$ on a category where idempotents split, and a weak distributive law between them, one can build a combined monad $U$. Making explicit what this monad $U$ is requires some effort. When we already have an idea what $U$ should be, we show how to recognize that $U$ is indeed the combined monad obtained from $S$ and $T$: it suffices to exhibit what we call a distributing retraction of $ST$ onto $U$. We show that distributing retractions and weak distributive laws are in one-to-one correspondence, in a 2-categorical setting. We give three applications, where $S$ is the Smyth, Hoare or Plotkin hyperspace monad, $T$ is a monad of continuous valuations, and $U$ is a monad of previsions or of forks, depending on the case. As a byproduct, this allows us to describe the algebras of monads of superlinear, resp. sublinear previsions. In the category of compact Hausdorff spaces, the Plotkin hyperspace monad is sometimes known as the Vietoris monad, the monad of probability valuations coincides with the Radon monad, and we infer that the associated combined monad is the monad of normalized forks.