This paper makes mathematically precise the idea that conditional probabilities are analogous to path liftings in geometry. The idea of lifting is modelled in terms of the category-theoretic concept of a lens, which can be interpreted as a consistent choice of arrow liftings. The category we study is the one of probability measures over a given standard Borel space, with morphisms given by the couplings, or transport plans. The geometrical picture is even more apparent once we equip the arrows of the category with weights, which one can interpret as "lengths" or "costs", forming a so-called weighted category, which unifies several concepts of category theory and metric geometry. Indeed, we show that the weighted version of a lens is tightly connected to the notion of submetry in geometry. Every weighted category gives rise to a pseudo-quasimetric space via optimization over the arrows. In particular, Wasserstein spaces can be obtained from the weighted categories of probability measures and their couplings, with the weight of a coupling given by its cost. In this case, conditionals allow one to form weighted lenses, which one can interpret as "lifting transport plans, while preserving their cost".
翻译:本文从数学角度精确地提出, 有条件的概率与几何中的道路升降类似。 升降的概念以镜头的分类理论概念为模型, 它可以被解释为对箭升动的一致选择。 我们研究的类别是特定标准波罗尔空间的概率度量, 由组合或运输计划给出的形态。 几何图则更加明显。 一旦我们用重量来装备该类别的箭头, 它可以被解释为“ 长度” 或“ 成本 ”, 形成所谓的加权类别, 从而统一了分类理论和计量几何学的几种概念。 事实上, 我们显示, 一个镜头的加权版本与几何中次测量的概念紧密相连。 每个加权类别通过对箭头进行优化, 产生一个假半方空间。 特别是, 瓦西斯坦空间可以从概率计量的加权类别及其组合中获取, 以及其成本给出的组合权重。 在这种情况下, 有条件允许一种形式为加权透镜, 同时保留其运输计划的成本 。