Gompertz model with delays and treatment: Mathematical analysis

  • Received: 01 June 2012 Accepted: 29 June 2018 Published: 01 April 2013
  • MSC : Primary: 34K11, 34K13, 34K18, 34K20, 34K28, 37N25; Secondary: 92B05, 92B25, 92C50.

  • In this paper we study the delayed Gompertz model, as a typical model of tumor growth, with a term describing external interference that can reflect a treatment, e.g. chemotherapy. We mainly consider two types of delayed models, the one with the delay introduced in the per capita growth rate (we call it the single delayed model) and the other with the delay introduced in the net growth rate (the double delayed model).We focus on stability and possible stability switches with increasing delay for the positive steady state. Moreover, we study a Hopf bifurcation, including stability of arising periodic solutions for a constant treatment. The analytical results are extended by numerical simulations for a pharmacokinetic treatment function.

    Citation: Marek Bodnar, Monika Joanna Piotrowska, Urszula Foryś. Gompertz model with delays and treatment: Mathematical analysis[J]. Mathematical Biosciences and Engineering, 2013, 10(3): 551-563. doi: 10.3934/mbe.2013.10.551

    Related Papers:

  • In this paper we study the delayed Gompertz model, as a typical model of tumor growth, with a term describing external interference that can reflect a treatment, e.g. chemotherapy. We mainly consider two types of delayed models, the one with the delay introduced in the per capita growth rate (we call it the single delayed model) and the other with the delay introduced in the net growth rate (the double delayed model).We focus on stability and possible stability switches with increasing delay for the positive steady state. Moreover, we study a Hopf bifurcation, including stability of arising periodic solutions for a constant treatment. The analytical results are extended by numerical simulations for a pharmacokinetic treatment function.


    加载中
    [1] Appl. Math. Lett., 13 (2000), 91-95.
    [2] J. Biol. Sys., 15 (2007), 1-19.
    [3] Springer-Verlag, New York, 1995.
    [4] Math. Biosci., 191 (2004), 159-184.
    [5] Math. Med. Biol., 26 (2009), 63-95.
    [6] Math. Biosci., 222 (2009), 13-26.
    [7] Accepted for Math. Pop. Studies.
    [8] Philos. Trans. R. Soc. London, 115 (1825), 513-585.
    [9] Cancer Res., 59 (1999), 4770-4775.
    [10] Springer, New York, 1993.
    [11] Ann. N. Y. Acad. Sci., 50 (1948), 221-246.
    [12] SIAM J. Control Optim., 46 (2007), 1052-1079.
    [13] J. Theor. Biol., 252 (2008), 295-312.
    [14] Springer, Berlin-Heidelberg, 2007.
    [15] (submitted).
    [16] J. Math. Anal. Appl., 382 (2011), 180-203.
    [17] Math. and Comp. Modelling, 54 (2011), 2183-2198.
    [18] Math. Biosci. Eng., 8 (2011), 591-603.
    [19] in "Mathematical Population Dynamics" (eds. O. Arino, D. Axelrod and M. Kimmel), Wuertz, Winnipeg, Canada, (1995), 335-348.
  • Reader Comments
  • © 2013 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2361) PDF downloads(929) Cited by(13)

Article outline

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog