Finite Dimensional Projections of HJB Equations in the Wasserstein Space
This paper continues the study of controlled interacting particle systems with common noise started in [W. Gangbo, S. Mayorga and A. {\'{S}}wi{\k{e}}ch, \textit{SIAM J. Math. Anal.} 53 (2021), no. 2, 1320--1356] and [S. Mayorga and A. {\'{S}}wi{\k{e}}ch, \textit{SIAM J. Control Optim.} 61...
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Zusammenfassung: | This paper continues the study of controlled interacting particle systems
with common noise started in [W. Gangbo, S. Mayorga and A. {\'{S}}wi{\k{e}}ch,
\textit{SIAM J. Math. Anal.} 53 (2021), no. 2, 1320--1356] and [S. Mayorga and
A. {\'{S}}wi{\k{e}}ch, \textit{SIAM J. Control Optim.} 61 (2023), no. 2,
820--851]. First, we extend the following results of the previously mentioned
works to the case of multiplicative noise: (i) We generalize the convergence of
the value functions $u_n$ corresponding to control problems of $n$ particles to
the value function $V$ corresponding to an appropriately defined infinite
dimensional control problem; (ii) we prove, under certain additional
assumptions, $C^{1,1}$ regularity of $V$ in the spatial variable. The second
main contribution of the present work is the proof that if $DV$ is continuous
(which, in particular, includes the previously proven case of $C^{1,1}$
regularity in the spatial variable), the value function $V$ projects precisely
onto the value functions $u_n$. Using this projection property, we show that
optimal controls of the finite dimensional problem correspond to optimal
controls of the infinite dimensional problem and vice versa. In the case of a
linear state equation, we are able to prove that $V$ projects precisely onto
the value functions $u_n$ under relaxed assumptions on the coefficients of the
cost functional by using approximation techniques in the Wasserstein space,
thus covering cases where $V$ may not be differentiable. |
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DOI: | 10.48550/arxiv.2408.07688 |