Bounding Transient Moments for a Class of Stochastic Reaction Networks Using Kolmogorov's Backward Equation
The paper addresses the difficulty of finding exact statistics for stochastic chemical reaction networks by using Kolmogorov’s backward equation as a dual representation. This method avoids complex moment hierarchies by allowing bounds to be calculated efficiently through simple inner products involving initial distributions, providing theoretically guaranteed upper and lower limits on transient moments.