Derivative-Informed Dimension Reduction of Stochastic Differential Equations: A Path-Space Sensitivity Approach

Uncertainty in the drift of a stochastic differential equation (SDE) induces uncertainty in statistical observables defined as expected functionals on path space. We propose a derivative-informed method for identifying low-dimensional structure in the drift-to-observable map, with the aim of improvi