Large $n$-limit of matrix control problems and non-commutative controls

Building on the free-probability stochastic control framework introduced in arXiv:2502.17329, we connect optimal control problems for $n\times n$ random matrix ensembles with their infinite-dimensional, free-probability analogues. Under natural convexity hypotheses, we prove that the non-commutative value function captures the large-$n$ limit of the corresponding finite-matrix control problems. As an application, we give a new perspective on the Laplace principle for convex functionals in the theory of large deviations for random matrices.