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A singular control problem with an expected and a pathwise ergodic performance criterion

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  • Andrew Jack
  • Mihail Zervos

Abstract

We consider the problem of controlling a general one-dimensional Itô diffusion by means of a finite-variation process. The objective is to minimise a long-term average expected criterion as well as a long-term pathwise criterion that penalise deviations of the underlying state process from a given nominal point as well as the expenditure of control effort. We solve the resulting singular stochastic control problems under general assumptions by identifying an optimal strategy that is explicitly characterised.

Suggested Citation

  • Andrew Jack & Mihail Zervos, 2006. "A singular control problem with an expected and a pathwise ergodic performance criterion," International Journal of Stochastic Analysis, Hindawi, vol. 2006, pages 1-19, June.
    • Handle: RePEc:hin:jnijsa:082538
    DOI: 10.1155/JAMSA/2006/82538
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    Cited by:

    1. Dianetti, Jodi & Ferrari, Giorgio, 2021. "Multidimensional Singular Control and Related Skorokhod Problem: Suficient Conditions for the Characterization of Optimal Controls," Center for Mathematical Economics Working Papers 645, Center for Mathematical Economics, Bielefeld University.
    2. Haoyang Cao & Jodi Dianetti & Giorgio Ferrari, 2021. "Stationary Discounted and Ergodic Mean Field Games of Singular Control," Papers 2105.07213, arXiv.org.
    3. Dianetti, Jodi & Ferrari, Giorgio & Tzouanas, Ioannis, 2023. "Ergodic Mean-Field Games of Singular Control with Regime-Switching (extended version)," Center for Mathematical Economics Working Papers 681, Center for Mathematical Economics, Bielefeld University.
    4. Dianetti, Jodi & Ferrari, Giorgio, 2023. "Multidimensional singular control and related Skorokhod problem: Sufficient conditions for the characterization of optimal controls," Stochastic Processes and their Applications, Elsevier, vol. 162(C), pages 547-592.
    5. Cao, Haoyang & Dianetti, Jodi & Ferrari, Giorgio, 2021. "Stationary Discounted and Ergodic Mean Field Games of Singular Control," Center for Mathematical Economics Working Papers 650, Center for Mathematical Economics, Bielefeld University.
    6. Alvarez E., Luis H.R. & Hening, Alexandru, 2022. "Optimal sustainable harvesting of populations in random environments," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 678-698.
    7. Jiankui Yang & David D. Yao & Heng-Qing Ye, 2020. "Technical Note—On the Optimality of Reflection Control," Operations Research, INFORMS, vol. 68(6), pages 1668-1677, November.

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