Skip to main content
Log in

Estimating the division rate for the growth-fragmentation equation

  • Published:
Journal of Mathematical Biology Aims and scope Submit manuscript

Abstract

Growth-fragmentation equations arise in many different contexts, ranging from cell division, protein polymerization, neurosciences etc. Direct observation of temporal dynamics being often difficult, it is of main interest to develop theoretical and numerical methods to recover reaction rates and parameters of the equation from indirect observation of the solution. Following the work done in Perthame and Zubelli (Inverse Probl 23:1037–1052, 2007) and Doumic et al. (2009) for the specific case of the cell division equation, we address here the general question of recovering the fragmentation rate of the equation from the observation of the time-asymptotic solution, when the fragmentation kernel and the growth rates are fully general. We give both theoretical results and numerical methods, and discuss the remaining issues.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Brézis H (1983) Functional analysis. Masson, Paris

    Google Scholar 

  • Doumic M, Perthame B, Zubelli JP (2009) Numerical solution of an inverse problem in size-structured population dynamics. Inverse Probl 25(4). doi:10.1088/0266-5611/25/4/045008

  • Doumic M, Maia P, Zubelli JP (2010) On the calibration of a size-structured population model from experimental data. Acta Biotheor 58(4): 405–413

    Article  Google Scholar 

  • Doumic M, Gabriel P (2010) Eigenelements of a general aggregation-fragmentation model

  • Doumic M, Hoffmann M, Reynaud-Bouret P, Rivoirard V Nonparametric estimation of the division rate of a size-structured population. (submitted)

  • Engl HW, Hanke M, Neubauer A (1996) Regularization of inverse problems, volume 375 of mathematics and its applications. Kluwer, Dordrecht

    Book  Google Scholar 

  • Greer ML, Pujo-Menjouet L, Webb GF (2006) A mathematical analysis of the dynamics of prion proliferation. J Theor Biol 242: 598–606

    Article  MathSciNet  Google Scholar 

  • Groh A, Krebs J, Wagner M (2011) Efficient solution of an inverse problem in cell population dynamics. Inverse Probl 27

  • Gyllenberg M, Osipov A, Päivärinta L (2002) The inverse problem of age-structured population dynamics. J Evol Equ 2: 222–239

    Article  Google Scholar 

  • Hardy GH, Littlewood JE, Polya G (1988) Inequalities. Cambride Mathematical Library, Cambridge

    MATH  Google Scholar 

  • Heijmans HJAM (1984) On the stable size distribution of populations reproducing by fission into two inequal parts. Math Biosci 72(1): 19–50

    Article  MathSciNet  MATH  Google Scholar 

  • Metz JAJ, Diekmann O (1986) The dynamics of physiologically structured populations, Lecture Notes in Biomathematics 68. Springer, Berlin

    Google Scholar 

  • Michel P, Mischler , Perthame B (2005) General entropy equations for structured population models and scattering. C R Math Acad Sci Paris 338(9): 697–702

    Article  MathSciNet  Google Scholar 

  • Perthame B (2007) Transport equations in biology. Frontiers in mathematics. Birkhäuser Verlag, Basel

    Google Scholar 

  • Perthame B, Ryzhik L (2005) Exponential decay for the fragmentation or cell-division equation. J Differ Equ 210(1): 155–177

    Article  MathSciNet  MATH  Google Scholar 

  • Perthame B, Zubelli JP (2007) On the inverse problem for a size structured population model. Inverse Probl 23: 1037–1052

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Doumic.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Doumic, M., Tine, L.M. Estimating the division rate for the growth-fragmentation equation. J. Math. Biol. 67, 69–103 (2013). https://doi.org/10.1007/s00285-012-0553-6

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00285-012-0553-6

Keywords

Mathematics Subject Classification

Navigation