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Analysis of spreading speeds for monotone semiflows with an application to CNNs

Published online by Cambridge University Press:  06 March 2019

ZHI-XIAN YU
Affiliation:
Mathematics and Science, College, Shanghai Normal University, Shanghai200234, P. R. China e-mail: [email protected] College of Science, University of Shanghai for Science and TechnologyShanghai200093, China e-mail: [email protected]
LEI ZHANG
Affiliation:
Department of Mathematics, Harbin Institute of Technology in Weihai Weihai, Shandong264209, China e-mail: [email protected]

Abstract

The purpose of this work is to investigate the properties of spreading speeds for the monotone semiflows. According to the fundamental work of Liang and Zhao [(2007) Comm. Pure Appl. Math.60, 1–40], the spreading speeds of the monotone semiflows can be derived via the principal eigenvalue of linear operators relating to the semiflows. In this paper, we establish a general method to analyse the sign and the continuity of the spreading speeds. Then we consider a limiting case that admits no spreading phenomenon. The results can be applied to the model of cellular neural networks (CNNs). In this model, we find the rule which determines the propagating phenomenon by parameters.

Type
Papers
Copyright
© Cambridge University Press 2019

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