Singular limit of BSDES and optimal control of two scale systems with jumps in infinite dimensional spaces

The paper is devoted to a stochastic optimal control problem for a two scale, infinite dimensional, stochastic system. The state of the system consists of “slow” and “fast” component and its evolution is driven by both continuous Wiener noises and discontinuous Poisson-type noises. The presence of discontinuous noises is the main feature of the present work. We use the theory of backward stochastic differential equations (BSDEs) to prove that, as the speed of the fast component diverges, the value function of the control problem converges to the solution of a reduced forward-backward system that, in turn, is related to a reduced stochastic optimal control problem. The results of this paper generalize to the case of discontinuous noise the ones in [Guatteri and Tessitore, Appl. Math. Optim. 83 (2021) 1025–1051] and [Świ¸ech, ESAIM Control Optim. Calc. Var. 27 (2021) Paper No. 6, 34].

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-05-14
DOI
https://doi.org/10.1051/cocv/2025030/pdf
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
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article

Singular limit of BSDES and optimal control of two scale systems with jumps in infinite dimensional spaces

Springer Link (Chiba Institute of Technology)
Stochastic processes and financial applications
article

Singular limit of BSDES and optimal control of two scale systems with jumps in infinite dimensional spaces

article en

Abstract

The paper is devoted to a stochastic optimal control problem for a two scale, infinite dimensional, stochastic system. The state of the system consists of “slow” and “fast” component and its evolution is driven by both continuous Wiener noises and discontinuous Poisson-type noises. The presence of discontinuous noises is the main feature of the present work. We use the theory of backward stochastic differential equations (BSDEs) to prove that, as the speed of the fast component diverges, the value function of the control problem converges to the solution of a reduced forward-backward system that, in turn, is related to a reduced stochastic optimal control problem. The results of this paper generalize to the case of discontinuous noise the ones in [Guatteri and Tessitore, Appl. Math. Optim. 83 (2021) 1025–1051] and [Świ¸ech, ESAIM Control Optim. Calc. Var. 27 (2021) Paper No. 6, 34].

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 46%
Stochastic processes and financial applications
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