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PreprintCC BY-NC-ND 4.0HAL

Well-Posedness of Stochastic Mean-Field Schrödinger Porous-Medium Equations and Control of Their Modal Reductions

Abstract

We investigate stochastic mean-field Schrödinger-type equations driven by complex-valued porousmedium operators, with nonhomogeneous random Dirichlet boundary conditions and law dependence in both drift and diffusion coefficients. We prove existence and uniqueness of strong solutions by combining a lifting of the random boundary datum, monotonicity methods, Galerkin approximations, and a fixed-point argument for the associated measure flow. This extends existing well-posedness results by allowing a law-dependent diffusion coefficient and random nonhomogeneous boundary data. We also prove exact controllability for a class of finite-dimensional linear mean-field stochastic differential equations with possibly degenerate diffusion controls. The result relies on a Gramian condition for the mean dynamics and a range-inclusion condition compensating for the degenerate directions. Modal reductions of linear stochastic Schrödinger-type equations illustrate the connection between the two settings.

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BibTeX
@misc{brehuescu2026wellposedness,
  title = {{Well-Posedness of Stochastic Mean-Field Schrödinger Porous-Medium Equations and Control of Their Modal Reductions}},
  author = {Gabriel Brehuescu and Dan Goreac},
  howpublished = {HAL},
  year = {2026},
  month = sep,
  url = {https://univ-eiffel.hal.science/hal-05795670v1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Well-Posedness of Stochastic Mean-Field Schrödinger Porous-Medium Equations and Control of Their Modal Reductions
AU  - Gabriel Brehuescu
AU  - Dan Goreac
PY  - 2026
DA  - 2026/09/01
PB  - HAL
UR  - https://univ-eiffel.hal.science/hal-05795670v1
AB  - We investigate stochastic mean-field Schrödinger-type equations driven by complex-valued porousmedium operators, with nonhomogeneous random Dirichlet boundary conditions and law dependence in both drift and diffusion coefficients. We prove existence and uniqueness of strong solutions by combining a lifting of the random boundary datum, monotonicity methods, Galerkin approximations, and a fixed-point argument for the associated measure flow. This extends existing well-posedness results by allowing a law-dependent diffusion coefficient and random nonhomogeneous boundary data. We also prove exact controllability for a class of finite-dimensional linear mean-field stochastic differential equations with possibly degenerate diffusion controls. The result relies on a Gramian condition for the mean dynamics and a range-inclusion condition compensating for the degenerate directions. Modal reductions of linear stochastic Schrödinger-type equations illustrate the connection between the two settings.
ER  -