Stochastic Boundary Hydrodynamic Bridges and MVC Activation in the TDHCF Framework
Abstract
We formulate a reduced stochastic model forboundary hydrodynamics in the TDHCFframework and describe how to construct diffusion bridges from quasi–singular “nearblowup” configurations to the Multiverse Vortex Coupling (MVC) activation regime. Adapting the adjoint-based score matching method for diffusion bridges introduced by Baker, Schauer, and Sommer [1,2] to afinite-dimensional set of Navier–Stokes modes ,we define and train a conditional drift corrections s_θ NS which generates typical paths from quasi-singular states in to the MVC-active region. This provides a quantitative tool to study the stochastic “cost” of near blow-up, the geometry of pre-blow-up trajec tories, and their alignment with holographic energy transfer channels in TDHCF.
Fields of Study & Subjects
Model Reduction and Neural Networks
Navier-Stokes equation solutions
Fluid Dynamics and Turbulent Flows
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 6 February 2026
- Document type
- Preprint