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Bifurcation Theory

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Introduction to Mathematical Biology

Abstract

Consider two populations, x and y, that are interacting either by competition, or as predator and prey. They may end up near a stable steady state, or possibly in seasonally oscillating states; this could depend on their proliferation rates, death rates, available resources, climate change, etc. In this chapter we wish to explore these varied possibilities using mathematics. To do that we begin by a short introduction to the theory of bifurcations. Bifurcation theory is concerned with the question of how the behavior of a system which depends on a parameter p changes with the parameter. It focuses on any critical value, p = p cr , where the behavior of the system undergoes radical change; such values are called bifurcation points.

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References

  1. Coddington, E.A.: An Introduction to Ordinary Differential Equations. Dover, New York (1989)

    MATH  Google Scholar 

  2. Butcher, J.C.: Numerical Methods for Ordinary Differential Equation. Wiley, New York (2008)

    Book  MATH  Google Scholar 

  3. Strang, G.: Linear Algebra and Its Applications, 4th edn. Brooks/Cole, Belmont (2005)

    MATH  Google Scholar 

  4. Gantmacher, F.R.: The Theory of Matrices, vol. 2. Chelsea, New York (1959)

    MATH  Google Scholar 

  5. van den Driessche, P., Watmough, J.: Further notes on the basic reproduction number. In: Mathematical Epidemiology, pp. 159–178. Springer, Berlin/Heidelberg (2008)

    Google Scholar 

  6. Hale, J.K., Kocak, H.: Dynamics and Bifurcations. Springer, New York (1991)

    Book  MATH  Google Scholar 

  7. Friedman, A., Hao, W., Hu, B.: A free boundary problem for steady small plaques in the artery and their stability. J. Diff. Eqs. 259, 1227–1255 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  8. Louzoun, Y., Xue, C., Lesinski, G.B., Friedman, A.: A mathematical model for pancreatic cancer growth and treatment. J. Theor. Biol. 351, 74–82 (2014)

    Article  MathSciNet  Google Scholar 

  9. Friedman, A., Tian, J.P., Fulci, G., Chiocca, E.A., Wang, J.: Glioma virotherapy: the effects of innate immune suppression and increased viral replication capacity. Cancer Res. 66, 2314–2319 (2006)

    Article  Google Scholar 

  10. Day, J., Friedman, A., Schlesinger, L.S.: Modeling the immune rheostat of macrophages in the lung in response to infection. Proc. Natl. Acad. Sci. USA 106, 11246–11251 (2009)

    Article  Google Scholar 

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Chou, CS., Friedman, A. (2016). Bifurcation Theory. In: Introduction to Mathematical Biology. Springer Undergraduate Texts in Mathematics and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-29638-8_11

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