Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98875
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Title: Wasserstein Hamiltonian flow with common noise on graph
Authors: Cui, J 
Liu, S
Zhou, H
Issue Date: Apr-2023
Source: SIAM journal on applied mathematics, Apr. 2023, v. 83, no. 2, p.484-509
Abstract: We study the Wasserstein Hamiltonian flow with a common noise on the density manifold of a finite graph. Under the framework of the stochastic variational principle, we first develop the formulation of stochastic Wasserstein Hamiltonian flow and show the local existence of a unique solution. We also establish a sufficient condition for the global existence of the solution. Consequently, we obtain the global well-posedness for the nonlinear Schrödinger equations with common noise on a graph. In addition, using Wong–Zakai approximation of common noise, we prove the existence of the minimizer for an optimal control problem with common noise. We show that its minimizer satisfies the stochastic Wasserstein Hamiltonian flow on a graph as well.
Keywords: Stochastic Hamiltonian flow on graph
Density manifold
Wong–Zakai approximation
Optimal transport
Publisher: Society for Industrial and Applied Mathematics
Journal: SIAM journal on applied mathematics 
ISSN: 0036-1399
EISSN: 1095-712X
DOI: 10.1137/22M1490697
Rights: © 2023 Society for Industrial and Applied Mathematics
The following publication Cui, J., Liu, S., & Zhou, H. (2023). Wasserstein Hamiltonian flow with common noise on graph. SIAM Journal on Applied Mathematics, 83(2), 484-509 is available at https://doi.org/10.1137/22M1490697.
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