Abstract
A decomposition principle for nonlinear dynamic compartmental systems is introduced in the present paper. This theory is based on the mutually exclusive and exhaustive, analytical and dynamic, novel system and subsystem partitioning methodologies. A deterministic mathematical method is developed for the dynamic analysis of nonlinear compartmental systems based on the proposed theory. The dynamic method enables tracking the evolution of all initial stocks, external inputs, and arbitrary intercompartmental flows, as well as the associated storages derived from these stocks, inputs, and flows individually and separately within the system. The transient and the dynamic direct, indirect, acyclic, cycling, and transfer (diact) flows and associated storages transmitted along a particular flow path or from one compartment—directly or indirectly—to any other are then analytically characterized, systematically classified, and mathematically formulated. Thus, the dynamic influence of one compartment, in terms of flow and storage transfer, directly or indirectly on any other compartment is ascertained. Consequently, new mathematical system analysis tools are formulated as quantitative system indicators. The proposed mathematical method is then applied to various models from literature to demonstrate its efficiency and wide applicability.
Author supplied keywords
- Chemical and biological systems
- Complex systems theory
- Computer networks
- Control theory
- Diact flows and storages
- Dynamic input-output analysis
- Dynamic input-output economics
- Dynamic system and subsystem decomposition
- Epidemiology
- Fundamental matrix solutions
- Infectious diseases
- Information diffusion
- Information theory
- Malware propagation
- Neural networks
- Nonlinear decomposition principle
- Nonlinear dynamic compartmental systems
- Pharmacokinetics
- Social networks
- Socioeconomic systems
- Toxicology
- Traffic flow
Cite
CITATION STYLE
Coskun, H. (2019). Nonlinear decomposition principle and fundamental matrix solutions for dynamic compartmental systems. Discrete and Continuous Dynamical Systems - Series B, 24(12), 6553–6605. https://doi.org/10.3934/dcdsb.2019155
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