IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaaa/738342.html
   My bibliography  Save this article

Stochastic Analysis of a Hassell-Varley Type Predation Model

Author

Listed:
  • Feng Rao
  • Shunjun Jiang
  • Yanqiu Li
  • Hao Liu

Abstract

We investigate a Hassell-Varley type predator-prey model with stochastic perturbations. By perturbing the growth rate of prey population and death rate of predator population with white noise terms, we construct a stochastic differential equation model to discuss the effects of the environmental noise on the dynamical behaviors. Applying the comparison theorem of stochastic equations and Itô’s formula, the unique positive global solution to the model for any positive initial value is obtained. We find out some sufficient conditions for stochastically asymptotically boundedness, permanence, persistence in mean and extinction of the solution. Furthermore, a series of numerical simulations to illustrate our mathematical findings are presented. The results indicate that the stochastic perturbations do not cause drastic changes of the dynamics in the deterministic model when the noise intensity is small under some conditions, but while the noise intensity is sufficiently large, the species may die out, which does not happen in the deterministic model.

Suggested Citation

  • Feng Rao & Shunjun Jiang & Yanqiu Li & Hao Liu, 2013. "Stochastic Analysis of a Hassell-Varley Type Predation Model," Abstract and Applied Analysis, Hindawi, vol. 2013, pages 1-10, December.
  • Handle: RePEc:hin:jnlaaa:738342
    DOI: 10.1155/2013/738342
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AAA/2013/738342.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/AAA/2013/738342.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2013/738342?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlaaa:738342. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.