Measuring Technology and its Application for an SI Model

Yu Juan Jiao

doi:10.4028/www.scientific.net/AMR.765-767.2276

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 765-767Measuring Technology and its Application for an SI...

Measuring Technology and its Application for an SI Model

Abstract:

In this paper, we consider an SI model with cross-diffusion, and show that the measuring technology and its application, namely, the cross-diffusion is able to induce the Turing instability under some conditions.

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Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

2276-2279

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.2276

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Online since:

September 2013

Authors:

Yu Juan Jiao

Keywords:

Application, Measuring Technology, Si Model

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References

[1] O. Diekmann, M. Kretzschmar, Pattern in effects of infectious diseases on population growth, J. Math. Biol. 29 (1991) 539–570.

DOI: 10.1007/bf00164051

Google Scholar

[2] Y. Wang, J. Wang, L. Zhang. Cross diffusion-induced pattern in an SI model, Applied Mathematics and Computation, 217 (2010) 1965-(1970).

DOI: 10.1016/j.amc.2010.06.052

Google Scholar

[3] W. Ko, I. Ahn. Analysis of ratio-dependent food chain model, J. Math. Anal. Appl., 339 (2007) 498-523.

Google Scholar

[4] P.Y.H. Pang, M. Wang. Strategy and stationary pattern in a three-species predator-prey model, J. Differential Equation, 200 (2004) 245-273.

DOI: 10.1016/j.jde.2004.01.004

Google Scholar

[5] C. Tian, L. Zhang, Z. Lin. Pattern formation for a model os plankton allelopathy with cross-diffusion, Journal of the Franklin Institute, 348 (2011) 1947-(1964).

DOI: 10.1016/j.jfranklin.2011.05.013

Google Scholar