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Symbolic computation of action functionals for multi-dimensional CRN/ME Hamiltonian systems

Determine whether closed-form (symbolic) computation of the action functional governing expected escape times is possible for multi-dimensional cases beyond the SI process in the Hamiltonian framework associated with chemical reaction networks and epidemic models.

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Background

The paper outlines a Hamiltonian approach to estimate escape paths and expected travel times in stochastic CRN/ME systems, where the action functional characterizes asymptotic scaling of escape times.

While an explicit solution is known for the SI process, the authors note that in higher-dimensional settings only numerical integration seems to work; it remains unknown whether symbolic solutions exist in other specific cases.

References

Whether or not symbolic treatment is possible in other particular cases is an open problem.

Advancing Mathematical Epidemiology and Chemical Reaction Network Theory via Synergies Between Them (2411.00488 - Avram et al., 1 Nov 2024) in Section “The CRN representation yields a Hamiltonian representation of the expected time spent along escape paths of stochastic CTMC processes”