
Simple models for size structured cell populations undergoing growth and division produce a class of functional ordinary differential equations, called pantograph equations, that describe the long time asymptotics of the cell number density. Pantograph equations arise in a number of applications outside this model and, as a result, have been studied heavily over the last five decades. In this paper we review and survey the rôle of the pantograph equation in the context of cell division. In addition, for a simple case we present a method of solution based on the Mellin transform and establish uniqueness directly from the transform equation.
cell population growth and division, T57-57.97, Cell biology, Asymptotic theory of functional-differential equations, Applied mathematics. Quantitative methods, functional ordinary differential equations, Transformation and reduction of functional-differential equations and systems, normal forms, QA1-939, Mathematics, Mellin transform
cell population growth and division, T57-57.97, Cell biology, Asymptotic theory of functional-differential equations, Applied mathematics. Quantitative methods, functional ordinary differential equations, Transformation and reduction of functional-differential equations and systems, normal forms, QA1-939, Mathematics, Mellin transform
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
