Simplicial Random Variables
Ivan Marin

TL;DR
This paper introduces a probabilistic geometric realization of simplicial complexes, linking topology with probability theory by showing the space's homotopy properties and a natural map to probability mass functions.
Contribution
It presents a novel geometric realization inspired by probability theory, establishing its homotopy type and a probabilistic map as a fibration and homotopy equivalence.
Findings
The space has the correct weak homotopy type.
The probability map is a Serre fibration.
The map is a weak homotopy equivalence.
Abstract
We introduce a new `geometric realization' of an (abstract) simplicial complex, inspired by probability theory. This space (and its completion) is a metric space, which has the right (weak) homotopy type, and which can be compared with the usual geometric realization through a natural map, which has probabilistic meaning : it associates to a random variable its probability mass function. This `probability map' function is proved to be a (Serre) fibration and a (weak) homotopy equivalence.
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Taxonomy
TopicsTopological and Geometric Data Analysis · Advanced Algebra and Geometry · Geometric and Algebraic Topology
