Mathematical Analysis of Some Reaction Networks Inducing Biological Growth/Decay Functions.
DOI:
https://doi.org/10.11145/bmc.2020.07.067Abstract
In this work, we study some characteristics of sigmoidal growth/decay functions that are solutions of dynamical systems. In addition, the studied dynamical systems have a realization in terms of reaction networks that are closely related to the Gompertzian and logistic type growth models. Apart from the growing species, the studied reaction networks involve an additional species interpreted as an environmental resource. The reaction network formulationВ of the proposed models hints forВ the intrinsic mechanism of the modeled growthВ process and can be used for analyzing evolutionaryВ measured data when testing various appropriateВ models, especially when studying growth processesВ in life sciences. TheВ proposed reaction network realization of GompertzВ growth model can be interpreted from the perspectiveВ of demographic and socio-economic sciences.В The reaction network approachВ clearly explains the intimate links between the GompertzВ model and the Verhulst logistic model.В There are shown reversible reactions which complete the already known non-reversible ones. It is also demonstrated that the proposed approach can be applied in oscillating processes and social-science events.В The paper is richly illustrated with numericalВ computations andВ computer simulations performed by algorithmsВ using the computer algebra systemВ Mathematica.
Downloads
Published
Issue
Section
License
The journal Biomath Communications is an open access journal. All published articles are immeditely available online and the respective DOI link activated. All articles can be access for free and no reader registration of any sort is required. No fees are charged to authors for article submission or processing. Online publications are funded through volunteer work, donations and grants.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License 4.0 that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).