Analysis reveals convergence of solutions to marginal distributions of SDEs, suggesting a rate of O(m^-1) as marginal constraints increase.
In this paper, we investigate the multi-marginal Schrodinger bridge (MSB) problem whose marginal constraints are marginal distributions of a stochastic differential equation (SDE) with a constant diffusion coefficient, and with time dependent drift term. As the number m of marginal constraints increases, we prove that the solution of the corresponding MSB problem converges to the law of the solution of the SDE at the rate of O(m⁻¹), in the sense of KL divergence. Our result extends the work of~{agarwal2024iterated} to the case where the drift of the underlying stochastic process is time-dependent.
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Yao et al. (2025) studied this question.
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