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JOURNALS // Trudy Instituta Matematiki i Mekhaniki UrO RAN // Archive

Trudy Inst. Mat. i Mekh. UrO RAN, 2019 Volume 25, Number 1, Pages 219–228 (Mi timm1612)

This article is cited in 6 papers

A Feller Transition Kernel with Measure Supports Given by a Set-Valued Mapping

S. N. Smirnov

Lomonosov Moscow State University

Abstract: Assume that $X$ is a topological space and $Y$ is a separable metric space. Let these spaces be equipped with Borel $\sigma$-algebras $\mathcal{B}_X$ and $\mathcal{B}_Y$, respectively. Suppose that $P(x,B)$ is a stochastic transition kernel; i.e., the mapping $x \mapsto P(x,B)$ is measurable for all $B \in \mathcal{B}_Y$ and the mapping $B\mapsto P(x, B)$ is a probability measure for any $x \in X$. Denote by $\mathrm{supp}(P(x,\cdot))$ the topological support of the measure $B\mapsto P(x, B)$. If the transition kernel $P(x,B)$ satisfies the Feller property, i.e., the mapping $x \mapsto P(x,\cdot)$ is continuous in the weak topology on the space of probability measures, then the set-valued mapping $x\mapsto\mathrm{supp}(P(x,\cdot))$ is lower semicontinuous. Conversely, consider a set-valued mapping $x\mapsto S(x)$, where $x\in X$ and $S(x)$ is a nonempty closed subset of a Polish space $Y$. If $x \mapsto S(x)$ is lower semicontinuous, then, under some general assumptions on the space $X$, there exists a Feller transition kernel such that $\mathrm{supp}(P(x,\cdot))=S(x)$ for all $x\in X$.

Keywords: Feller property, transition kernel, topological support of a measure, lower semicontinuous set-valued mapping, continuous branch (selection).

UDC: 519.216, 519.866.2

MSC: 60J35, 91B25

Received: 13.07.2018
Revised: 16.11.2018
Accepted: 19.11.2018

DOI: 10.21538/0134-4889-2019-25-1-219-228


 English version:
Proceedings of the Steklov Institute of Mathematics (Supplement Issues), 2020, 308, suppl. 1, S188–S195

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