Title
States of Convex Sets.
Abstract
State spaces in probabilistic and quantum computation are convex sets, that is, Eilenberg-Moore algebras of the distribution monad. This article studies some computationally relevant properties of convex sets. We introduce the term effectus for a category with suitable coproducts (so that predicates, as arrows of the shape X -> 1 + 1, form effect modules, and states, arrows of the shape 1 -> X, form convex sets). One main result is that the category of cancellative convex sets is such an effectus. A second result says that the state functor is a "map of effecti". We also define 'normalisation of states' and show how this property is closed related to conditional probability. This is elaborated in an example of probabilistic Bayesian inference.
Year
DOI
Venue
2015
10.1007/978-3-662-46678-0_6
Lecture Notes in Computer Science
Field
DocType
Volume
Orthogonal convex hull,Convexity in economics,Discrete mathematics,Combinatorics,Convex combination,Convex hull,Convex set,Subderivative,Proper convex function,Convex analysis,Mathematics
Conference
9034
ISSN
Citations 
PageRank 
0302-9743
11
0.88
References 
Authors
2
3
Name
Order
Citations
PageRank
B. Jacobs11046100.09
Bas Westerbaan2111.22
Bram Westerbaan3122.25