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Optimal Stopping, Randomized Stopping, and Singular Control with General Information Flow
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för matematik (MA).
Univ Oslo, Norway.
Univ Oslo, Norway.
Univ Oslo, Norway.
2022 (engelsk)Inngår i: Theory of Probability and its Applications, ISSN 0040-585X, E-ISSN 1095-7219, Vol. 66, nr 4, s. 601-612Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The purpose of this paper is twofold. First, we extend the well-known relation between optimal stopping and randomized stopping of a given stochastic process to a situation where the available information flow is a filtration with no a priori assumed relation to the filtration of the process. We call these problems optimal stopping and randomized stopping with general information. we introduce a special singular stochastic control problem with general information and show that this is also equivalent to the partial information optimal stopping and randomized stopping problems. Then we show that the solution of this singular control problem can be expressed in terms of partial information variational inequalities.

sted, utgiver, år, opplag, sider
Siam Publications , 2022. Vol. 66, nr 4, s. 601-612
Emneord [en]
optimal stopping, optimal control, singular control, general information flow
HSV kategori
Forskningsprogram
Naturvetenskap, Matematik
Identifikatorer
URN: urn:nbn:se:lnu:diva-110467DOI: 10.1137/S0040585X97T990642ISI: 000752423100008Scopus ID: 2-s2.0-85129821707OAI: oai:DiVA.org:lnu-110467DiVA, id: diva2:1638887
Merknad

Also published in: Теория вероятностей и ее применения, 2021, Volume 66, Issue 4, Pages 760–773, https://doi.org/10.4213/tvp5514

Tilgjengelig fra: 2022-02-18 Laget: 2022-02-18 Sist oppdatert: 2024-01-25bibliografisk kontrollert

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