ON AGE DEPENDENT BRANCHING PROCESSES

Abstract

This paper deals with asymptotic properties of various models of age- dependent branching processes. Cell growth is considered in which a cell proceeds in a sequential manner through n independent states, state R with its life distribution FR, R=1,2,...,n. At the end of mitosis, the nth state, the cell divides into similar cells, the number of which is governed by a generating function h, independent of the time and other cells of the process. A variation of the given model treats cell growth in which the cell proceeds from state to state according to a general semi-Markov process until the mitotic state is completed, when division into similar cells in accord with h occurs. The random variable is considered in a simple age dependent branching process for m > 1. Another case is that of two types of cells, of which only one type may divide while the other either accumulates or is eventually absorbed in the medium. An example of this is the production of stem cells and red blood cells from parent stem cells. Two related models are considered, both examples of the 'reducible case'. Increasing cell populations are considered. A binary fission case of each model may be represented schematically to indicate the various combinations of cell births with corresponding probabilities. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 27, 1964
Accession Number
AD0430995

Entities

People

  • Howard Weiner

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Distribution Functions
  • Engineering
  • Equations
  • Fission
  • Markov Chains
  • Markov Models
  • Markov Processes
  • Mathematics
  • New Jersey
  • New Mexico
  • New York
  • North Carolina
  • Probability
  • Random Variables
  • Statistics
  • Stochastic Processes

Fields of Study

  • Biology
  • Mathematics

Readers

  • Immunology
  • Molecular Photonics/Laser Physics
  • Theoretical Analysis.

Technology Areas

  • Biotechnology