A Partition Theorem for a Randomly Selected Large Population

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Abstract

A theorem on the partitioning of a randomly selected large population into stationary and non-stationary components by using a property of the stationary population identity is stated and proved. The methods of partitioning demonstrated are original and these are helpful in real-world situations where age-wise data is available. Applications of this theorem for practical purposes are summarized at the end.

Original languageEnglish (US)
Article number6
JournalActa Biotheoretica
Volume70
Issue number1
DOIs
StatePublished - Mar 2022

Keywords

  • Population partitions
  • Stationary population and Non-stationary populations

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Environmental Science(all)
  • Philosophy
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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