Linear-quadratic stochastic Volterra controls II: Optimal strategies and Riccati--Volterra equations

Fuente: arXiv
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Auteurs principaux: Hamaguchi, Yushi, Wang, Tianxiao
Format: Preprint
Publié: 2022
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_version_ 1866910762579001344
author Hamaguchi, Yushi
Wang, Tianxiao
author_facet Hamaguchi, Yushi
Wang, Tianxiao
contents In this paper, we study linear-quadratic control problems for stochastic Volterra integral equations with singular and non-convolution-type coefficients. The weighting matrices in the cost functional are not assumed to be non-negative definite. From a new viewpoint, we formulate a framework of causal feedback strategies. The existence and the uniqueness of a causal feedback optimal strategy are characterized by means of the corresponding Riccati--Volterra equation.
format Preprint
id arxiv_https___arxiv_org_abs_2204_10239
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Linear-quadratic stochastic Volterra controls II: Optimal strategies and Riccati--Volterra equations
Hamaguchi, Yushi
Wang, Tianxiao
Optimization and Control
Probability
60H20, 45A05, 93E20, 93B52
In this paper, we study linear-quadratic control problems for stochastic Volterra integral equations with singular and non-convolution-type coefficients. The weighting matrices in the cost functional are not assumed to be non-negative definite. From a new viewpoint, we formulate a framework of causal feedback strategies. The existence and the uniqueness of a causal feedback optimal strategy are characterized by means of the corresponding Riccati--Volterra equation.
title Linear-quadratic stochastic Volterra controls II: Optimal strategies and Riccati--Volterra equations
topic Optimization and Control
Probability
60H20, 45A05, 93E20, 93B52
url https://arxiv.org/abs/2204.10239