Open-multicommutativity of the Probability Measure Functor
نویسندگان
چکیده
It is well-known that the construction of space of probability measures P is functorial in the category Comp of compact Hausdorff spaces. The functor P is normal in the sense of E.V. Shchepin [1]. It is well-known that the functor P is open, i.e. it preserves the class of open surjective maps. This was first proved by Ditor and Eifler [2]. E.V. Shchepin [1] discovered tight relations between the properties of openness and bicommutativity. In particular, he proved that every open functor in Comp is bicommutative, i.e. preserves the class of the bicommutative diagrams in the sense of Kuratowski. In this paper we introduce the so-called open multi-commutativity property and show that this property is satisfied by the functor P .
منابع مشابه
Open-multicommutativity of some functors related to the functor of probability measures
The property of a normal functor to be open-multicommutative proposed by Kozhan and Zarichnyi (2004) is investigated. A number of normal functors related to the functor of probability measures and equipped with convex structure are considered here and it is proved that the functors cc, ccP , GccP and λccP are open-multicommutative.
متن کاملOpen-multicommutativity of the Functor of Upper-continuous Capacities
The notion of open-multicommutativity, introduced by Kozhan and Zarichnyi [5], is investigated. The weakly normal covariant functor of upper-continuous capacities is considered. The main result of the paper is that this functor open-multicommutative.
متن کاملIdempotent Probability Measures, I
The set of all idempotent probability measures (Maslov measures) on a compact Hausdorff space endowed with the weak* topology determines is functorial on the category Comp of compact Hausdorff spaces. We prove that the obtained functor is normal in the sense of E. Shchepin. Also, this functor is the functorial part of a monad on Comp. We prove that the idempotent probability measure monad conta...
متن کاملA Compositional Framework for Markov Processes
We define the concept of an ‘open’ Markov process, or more precisely, continuous-time Markov chain, which is one where probability can flow in or out of certain states called ‘inputs’ and ‘outputs’. One can build up a Markov process from smaller open pieces. This process is formalized by making open Markov processes into the morphisms of a dagger compact category. We show that the behavior of a...
متن کاملFractional Probability Measure and Its Properties
Based on recent studies by Guy Jumarie [1] which defines probability density of fractional order and fractional moments by using fractional calculus (fractional derivatives and fractional integration), this study expands the concept of probability density of fractional order by defining the fractional probability measure, which leads to a fractional probability theory parallel to the classical ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004