A Path Integral Approach to Age Dependent Branching Processes
Chris D Greenman

TL;DR
This paper develops a stochastic, path integral framework for age-dependent population models using quantum field theory techniques, enabling efficient analysis of complex hereditary interactions and cell division processes.
Contribution
It introduces a novel path integral approach to stochastic age-structured populations, connecting quantum field methods with biological modeling.
Findings
Recapitulates previous stochastic results using Doi-Peliti formalism
Provides an exact perturbative expansion for age-structured moments
Generalizes the approach to binary fission cell division models
Abstract
Age dependent population dynamics are frequently modeled with generalizations of the classic McKendrick-von Foerster equation. These are deterministic systems, and a stochastic generalization was recently reported in [1,2]. Here we develop a fully stochastic theory for age-structured populations via quantum field theoretical Doi-Peliti techniques. This results in a path integral formulation where birth and death events correspond to cubic and quadratic interaction terms. This formalism allows us to efficiently recapitulate the results in [1,2], exemplifying the utility of Doi-Peliti methods. Furthermore, we find that the path integral formulation for age-structured moments has an exact perturbative expansion that explicitly relates to the hereditary structure between correlated individuals. These methods are then generalized with a binary fission model of cell division.
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