title: Density functions of residence times for deterministic and stochastic compartmental systems.
abstract: A significant consideration in modeling systems with stages is to obtain models for the individual stages that have probability density functions (pdfs) of residence times that are close to those of the real system. Consequently, the theory of residence time distributions is important for modeling. Here I show first that linear deterministic compartmental systems with constant coefficients and their corresponding stochastic analogs (stochastic compartmental systems with linear rate laws) have the same pdfs of residence times for the same initial distributions of inputs. Furthermore, these are independent of inflows. Then I show that does not hold for non-linear deterministic systems and their stochastic analogs (stochastic compartmental systems with non-linear rate laws). In fact, for given initial distributions of inputs, the pdfs of non-linear determistic systems without inflows and of their stochastic analogs, are functions of the initial amounts injected. For systems with inflows, the pdfs change as the inflows influence the occupancies of the compartments of the system; they are state-dependent pdfs.
authors.affiliation: Department of Physiology, The University of Michigan, 516 North State Street, Ann Arbor, MI 48104, USA. jacquez@biomedware.com
authors.forename: John A
authors.initials: JA
authors.lastname: Jacquez
mesh_terms: D007700:Kinetics; D016014:Linear Models; D008954:Models, Biological; D017711:Nonlinear Dynamics; D011157:Population Dynamics; D011336:Probability; D013269:Stochastic Processes