{"title":"拉格朗日形式主义在生物学中的应用综述:最新进展与前景","authors":"Diana T. Pham, Zdzislaw E. Musielak","doi":"arxiv-2408.10834","DOIUrl":null,"url":null,"abstract":"The Lagrangian formalism has attracted the attention of mathematicians and\nphysicists for more than 250 years and has played significant roles in\nestablishing modern theoretical physics. The history of the Lagrangian\nformalism in biology is much shorter, spanning only the last 50 years. In this\npaper, a broad review of the Lagrangian formalism in biology is presented in\nthe context of both its historical and modern developments. Detailed\ndescriptions of different methods to derive Lagrangians for five selected\npopulation dynamics models are given and the resulting Lagrangians are\npresented and discussed. The procedure to use the obtained Lagrangians to gain\nnew biological insights into the evolution of the populations without solving\nthe equations of motion is described and applied to the models. Finally,\nperspectives of the Lagrangian formalism in biology are discussed.","PeriodicalId":501044,"journal":{"name":"arXiv - QuanBio - Populations and Evolution","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Review of Lagrangian Formalism in Biology: Recent Advances and Perspectives\",\"authors\":\"Diana T. Pham, Zdzislaw E. Musielak\",\"doi\":\"arxiv-2408.10834\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Lagrangian formalism has attracted the attention of mathematicians and\\nphysicists for more than 250 years and has played significant roles in\\nestablishing modern theoretical physics. The history of the Lagrangian\\nformalism in biology is much shorter, spanning only the last 50 years. In this\\npaper, a broad review of the Lagrangian formalism in biology is presented in\\nthe context of both its historical and modern developments. Detailed\\ndescriptions of different methods to derive Lagrangians for five selected\\npopulation dynamics models are given and the resulting Lagrangians are\\npresented and discussed. The procedure to use the obtained Lagrangians to gain\\nnew biological insights into the evolution of the populations without solving\\nthe equations of motion is described and applied to the models. Finally,\\nperspectives of the Lagrangian formalism in biology are discussed.\",\"PeriodicalId\":501044,\"journal\":{\"name\":\"arXiv - QuanBio - Populations and Evolution\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Populations and Evolution\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.10834\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Populations and Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.10834","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Review of Lagrangian Formalism in Biology: Recent Advances and Perspectives
The Lagrangian formalism has attracted the attention of mathematicians and
physicists for more than 250 years and has played significant roles in
establishing modern theoretical physics. The history of the Lagrangian
formalism in biology is much shorter, spanning only the last 50 years. In this
paper, a broad review of the Lagrangian formalism in biology is presented in
the context of both its historical and modern developments. Detailed
descriptions of different methods to derive Lagrangians for five selected
population dynamics models are given and the resulting Lagrangians are
presented and discussed. The procedure to use the obtained Lagrangians to gain
new biological insights into the evolution of the populations without solving
the equations of motion is described and applied to the models. Finally,
perspectives of the Lagrangian formalism in biology are discussed.