Skip to main content
Log in

Global analysis of the Michaelis–Menten-type ratio-dependent predator-prey system

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

Abstract.

The recent broad interest on ratio-dependent based predator functional response calls for detailed qualitative study on ratio-dependent predator-prey differential systems. A first such attempt is documented in the recent work of Kuang and Beretta(1998), where Michaelis-Menten-type ratio-dependent model is studied systematically. Their paper, while contains many new and significant results, is far from complete in answering the many subtle mathematical questions on the global qualitative behavior of solutions of the model. Indeed, many of such important open questions are mentioned in the discussion section of their paper.

Through a simple change of variable, we transform the Michaelis-Menten-type ratio-dependent model to a better studied Gause-type predator-prey system. As a result, we can obtain a complete classification of the asymptotic behavior of the solutions of the Michaelis-Menten-type ratio-dependent model. In some cases we can determine how the outcomes depend on the initial conditions. In particular, open questions on the global stability of all equilibria in various cases and the uniqueness of limit cycles are resolved. Biological implications of our results are also presented.

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

Author information

Authors and Affiliations

Authors

Additional information

Received: 15 January 2000 / Revised version: 7 November 2000¶Published online: 10 April 2001

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hsu, SB., Hwang, TW. & Kuang, Y. Global analysis of the Michaelis–Menten-type ratio-dependent predator-prey system. J Math Biol 42, 489–506 (2001). https://doi.org/10.1007/s002850100079

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s002850100079

Navigation