  A number of geometric inequalities for convex sets arising from Brunn's
concavity principle have recently been shown to yield local stochastic
formulations. Comparatively, there has been much less progress towards
stochastic forms of related functional inequalities. We work towards a
stochastic geometry of concave functions to establish local versions of
dimensional forms of Brunn's principle a la Borell, Brascamp-Lieb, and Rinott.
To do so, we define shadow systems of convex epigraphs and hypographs, and
revisit Rinott's approach in the context of multiple integral rearrangement
inequalities.
