Reaction networks reveal new links between Gompertz and Verhulst growth functions
New reaction network realizations of the Gompertz and logistic growth models are proposed. The proposed reaction networks involve an additional species interpreted as environmental resource. Some natural generalizations and modifications of the Gompertz and the logistic models, induced by the propos...
| Main Author: | |
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| Format: | Article |
| Language: | English |
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Bulgarian Academy of Sciences, Institute of Mathematics and Informatics
2019-04-01
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| Series: | Biomath |
| Online Access: | http://www.biomathforum.org/biomath/index.php/biomath/article/view/1298 |
| _version_ | 1797720525235027968 |
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| author | Svetoslav Marinov Markov |
| author_facet | Svetoslav Marinov Markov |
| author_sort | Svetoslav Marinov Markov |
| collection | DOAJ |
| description | New reaction network realizations of the Gompertz and logistic growth models are proposed. The proposed reaction networks involve an additional species interpreted as environmental resource. Some natural generalizations and modifications of the Gompertz and the logistic models, induced by the proposed networks, are formulated and discussed. In particular, it is shown that the induced dynamical systems can be reduced to one dimensional differential equations for the growth (resp. decay) species. The reaction network formulation of the proposed models suggest hints for the intrinsic mechanism of the modeled growth process and can be used for analyzing evolutionary measured data when testing various appropriate models, especially when studying growth processes in life sciences. |
| first_indexed | 2024-03-12T09:20:48Z |
| format | Article |
| id | doaj.art-f801a511906b47fc93877c5c355b3f29 |
| institution | Directory Open Access Journal |
| issn | 1314-684X 1314-7218 |
| language | English |
| last_indexed | 2024-03-12T09:20:48Z |
| publishDate | 2019-04-01 |
| publisher | Bulgarian Academy of Sciences, Institute of Mathematics and Informatics |
| record_format | Article |
| series | Biomath |
| spelling | doaj.art-f801a511906b47fc93877c5c355b3f292023-09-02T14:32:46ZengBulgarian Academy of Sciences, Institute of Mathematics and InformaticsBiomath1314-684X1314-72182019-04-018110.11145/j.biomath.2019.04.167823Reaction networks reveal new links between Gompertz and Verhulst growth functionsSvetoslav Marinov Markov0Bulgarian Academy of SciencesNew reaction network realizations of the Gompertz and logistic growth models are proposed. The proposed reaction networks involve an additional species interpreted as environmental resource. Some natural generalizations and modifications of the Gompertz and the logistic models, induced by the proposed networks, are formulated and discussed. In particular, it is shown that the induced dynamical systems can be reduced to one dimensional differential equations for the growth (resp. decay) species. The reaction network formulation of the proposed models suggest hints for the intrinsic mechanism of the modeled growth process and can be used for analyzing evolutionary measured data when testing various appropriate models, especially when studying growth processes in life sciences.http://www.biomathforum.org/biomath/index.php/biomath/article/view/1298 |
| spellingShingle | Svetoslav Marinov Markov Reaction networks reveal new links between Gompertz and Verhulst growth functions Biomath |
| title | Reaction networks reveal new links between Gompertz and Verhulst growth functions |
| title_full | Reaction networks reveal new links between Gompertz and Verhulst growth functions |
| title_fullStr | Reaction networks reveal new links between Gompertz and Verhulst growth functions |
| title_full_unstemmed | Reaction networks reveal new links between Gompertz and Verhulst growth functions |
| title_short | Reaction networks reveal new links between Gompertz and Verhulst growth functions |
| title_sort | reaction networks reveal new links between gompertz and verhulst growth functions |
| url | http://www.biomathforum.org/biomath/index.php/biomath/article/view/1298 |
| work_keys_str_mv | AT svetoslavmarinovmarkov reactionnetworksrevealnewlinksbetweengompertzandverhulstgrowthfunctions |