The fibonacci sequence and the jacobian matrix in food web models

A. Shannon
{"title":"The fibonacci sequence and the jacobian matrix in food web models","authors":"A. Shannon","doi":"10.15406/IJBSBE.2017.03.00061","DOIUrl":null,"url":null,"abstract":"Where t is generation class, produces a number sequence for an exponentially expanding population-1, 1, 2, 3, 5, 8, 13, ... , which projects, through time, mating pairs of rabbits and offspring over t monthly generations. Over time, the ratio between successive generations of Fibonacci’s rabbits ( 1 t t n n − ) converges to the golden ratio Φ (1.618...). The largest eigenvalue of this matrix equals Φ exactly, and is the exponentiated growth rate (r) of the population, that is, λ1=e r. The next largest eigenvalue equals φ (0.618...), where φ=1/Φ. We are concerned here with limits to growth for an ecological community that can be modelled electronically. The dynamics of n interacting species can also be described by Lotka-Volterra equations1 which can be applied to biosensors, but we focus here on a qualitative analysis with a quantitative outline. The purpose of this paper is to use matrix and graph theory to highlight the presence of the Fibonacci sequence in the adjoint of Jacobian matrices which can arise in simple food web models. We then utilize an application to define terms and show the place of the Fibonacci sequence in the development of the main ideas and more complex models.","PeriodicalId":15247,"journal":{"name":"Journal of Biosensors and Bioelectronics","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biosensors and Bioelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/IJBSBE.2017.03.00061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Where t is generation class, produces a number sequence for an exponentially expanding population-1, 1, 2, 3, 5, 8, 13, ... , which projects, through time, mating pairs of rabbits and offspring over t monthly generations. Over time, the ratio between successive generations of Fibonacci’s rabbits ( 1 t t n n − ) converges to the golden ratio Φ (1.618...). The largest eigenvalue of this matrix equals Φ exactly, and is the exponentiated growth rate (r) of the population, that is, λ1=e r. The next largest eigenvalue equals φ (0.618...), where φ=1/Φ. We are concerned here with limits to growth for an ecological community that can be modelled electronically. The dynamics of n interacting species can also be described by Lotka-Volterra equations1 which can be applied to biosensors, but we focus here on a qualitative analysis with a quantitative outline. The purpose of this paper is to use matrix and graph theory to highlight the presence of the Fibonacci sequence in the adjoint of Jacobian matrices which can arise in simple food web models. We then utilize an application to define terms and show the place of the Fibonacci sequence in the development of the main ideas and more complex models.
食物网模型中的斐波那契数列和雅可比矩阵
其中t为生成类,生成一个指数扩展种群的数列1,1,2,3,5,8,13,…该模型预测,随着时间的推移,每个月交配的兔子和后代将超过10代。随着时间的推移,斐波那契兔子世代之间的比率(1 t t n n−)收敛于黄金比率Φ(1.618…)。该矩阵的最大特征值恰好等于Φ,是种群的指数增长率(r),即λ1=e r。下一个最大特征值等于Φ(0.618…),其中Φ =1/Φ。在这里,我们关心的是一个可以通过电子建模的生态群落的增长极限。相互作用物种的动力学也可以用Lotka-Volterra方程来描述,该方程可以应用于生物传感器,但我们在这里着重于定性分析和定量概述。本文的目的是利用矩阵和图论来强调在简单食物网模型中可能出现的雅可比矩阵伴随矩阵中的斐波那契序列的存在。然后,我们利用一个应用程序来定义术语,并展示斐波那契数列在主要思想和更复杂模型的发展中的地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信