Stochastic Riccati equations with jumps for indefinite linear-quadratic control: A stochastic value-flow approach
Abstract
This paper studies the nonlinear matrix-valued stochastic Riccati equation with jumps (SRE-J) arising from indefinite stochastic linear-quadratic optimal control problems with random coefficients and Poisson jumps. We demonstrate that the presence of jumps may cause the matrix-valued optimal state process X to become singular, even under the standard condition. Consequently, the classical representation P=YX−1 used in the diffusion case is generally unavailable. To overcome this difficulty, we construct the Riccati process directly from the stochastic value flow under the uniform convexity condition on the cost functional, an approach that requires no invertibility condition on the jump coefficient. We then prove that the SRE-J admits a maximal strongly regular solution, which yields a closed-loop representation of the unique open-loop optimal control. Furthermore, we establish verifiable sufficient conditions for uniform convexity and provide examples of indefinite stochastic linear-quadratic problems with jumps.
Related
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BibTeX
@misc{ding2026stochastic,
title = {{Stochastic Riccati equations with jumps for indefinite linear-quadratic control: A stochastic value-flow approach}},
author = {Kai Ding and Jiaqiang Wen and Jie Xiong and Xin Zhang},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2605.13204},
eprint = {2605.13204},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2605.13204},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Stochastic Riccati equations with jumps for indefinite linear-quadratic control: A stochastic value-flow approach
AU - Kai Ding
AU - Jiaqiang Wen
AU - Jie Xiong
AU - Xin Zhang
PY - 2026
DA - 2026/10/23
PB - arXiv
DO - 10.48550/arxiv.2605.13204
UR - https://arxiv.org/abs/2605.13204
AB - This paper studies the nonlinear matrix-valued stochastic Riccati equation with jumps (SRE-J) arising from indefinite stochastic linear-quadratic optimal control problems with random coefficients and Poisson jumps. We demonstrate that the presence of jumps may cause the matrix-valued optimal state process X to become singular, even under the standard condition. Consequently, the classical representation P=YX^−1 used in the diffusion case is generally unavailable. To overcome this difficulty, we construct the Riccati process directly from the stochastic value flow under the uniform convexity condition on the cost functional, an approach that requires no invertibility condition on the jump coefficient. We then prove that the SRE-J admits a maximal strongly regular solution, which yields a closed-loop representation of the unique open-loop optimal control. Furthermore, we establish verifiable sufficient conditions for uniform convexity and provide examples of indefinite stochastic linear-quadratic problems with jumps.
ER -