Unimodality of steady state distributions of growing cell populations

F.P. Da Costa, M. Grinfeld, J.B. Mcleod

Research output: Contribution to journalArticle

8 Citations (Scopus)
32 Downloads (Pure)

Abstract

We consider an equation for the evolution of growing and dividing cells, and show, using a result of Kato and McLeod, that the probability density function for the stationary size distribution is necessarily unimodal.
Original languageEnglish
Pages (from-to)405-409
Number of pages4
JournalJournal of Evolving Equations
Volume1
Issue number4
DOIs
Publication statusPublished - 31 Dec 2001

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Unimodality
Steady-state Distribution
Cell Population
Stationary Distribution
Probability density function
Cell

Keywords

  • probability
  • equations
  • unimodal
  • cells

Cite this

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title = "Unimodality of steady state distributions of growing cell populations",
abstract = "We consider an equation for the evolution of growing and dividing cells, and show, using a result of Kato and McLeod, that the probability density function for the stationary size distribution is necessarily unimodal.",
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Unimodality of steady state distributions of growing cell populations. / Da Costa, F.P.; Grinfeld, M.; Mcleod, J.B.

In: Journal of Evolving Equations, Vol. 1, No. 4, 31.12.2001, p. 405-409.

Research output: Contribution to journalArticle

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AU - Da Costa, F.P.

AU - Grinfeld, M.

AU - Mcleod, J.B.

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N2 - We consider an equation for the evolution of growing and dividing cells, and show, using a result of Kato and McLeod, that the probability density function for the stationary size distribution is necessarily unimodal.

AB - We consider an equation for the evolution of growing and dividing cells, and show, using a result of Kato and McLeod, that the probability density function for the stationary size distribution is necessarily unimodal.

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KW - cells

U2 - 10.1007/PL00001379

DO - 10.1007/PL00001379

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VL - 1

SP - 405

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JO - Journal of Evolution Equations

JF - Journal of Evolution Equations

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