Sustainable theory of a logistic model - Fisher information approach

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• 作者：Avan Al-Saffar ; ^{asal-saffar1@sheffield.ac.uk} ; Eun-jin Kim ^{e.kim@sheffield.ac.uk}
• 关键词：Nonlinear system ; Sustainability ; Fisher information ; Driving parameters ; Probability density function(PDF)
• 刊名：Mathematical Biosciences
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：285
• 期：Complete
• 页码：81-91
• 全文大小：2402 K
• 卷排序：285

文摘

Logistic model’s sustainability for perturbation in positive and/or negative feedback. Maintenance of a long-term memory of initial conditions and distinct bimodal dist. Utility of Fisher information (FI) as a useful measure of sustainability. Optimal FI and its relation to the robustness against different perturbation.