1997
DOI: 10.1090/s0002-9939-97-03901-4
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On a predator-prey system of Holling type

Abstract: Abstract. We consider the predator-prey system with a fairly general functional response of Holling type and give a necessary and sufficient condition under which this system has exactly one stable limit cycle. Our result extends previous results and is an answer to a conjecture which was recently presented by Sugie, Miyamoto and Morino.

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Cited by 101 publications
(39 citation statements)
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“…If E * is locally stable, then it is globally stable. The above properties have also been confirmed to be true for large range of n for the general Holling type functional response (3) [4,12,19,20].…”
supporting
confidence: 55%
“…If E * is locally stable, then it is globally stable. The above properties have also been confirmed to be true for large range of n for the general Holling type functional response (3) [4,12,19,20].…”
supporting
confidence: 55%
“…We discuss the uniqueness of limit cycles of the general system (1). Our criterion improves and partially generalizes those of (Hasik, 2000;Kuang and Freedman, 1988;Sugie et al, 1997). We first start with the most famous uniqueness result which was the motivation for several authors and criteria.…”
Section: Uniqueness Of Limit Cyclesmentioning
confidence: 92%
“…Then the system (3) has exactly one limit cycle which is globally asymptotically stable. In view of Theorem 4.1 and those of (Sugie et al, 1997;Hasik, 2000), we give the following uniqueness theorem for the limit cycles of our general system (1).…”
Section: Uniqueness Of Limit Cyclesmentioning
confidence: 99%
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“…Mathematical model, that describes this interaction, could help to understand its dynamic processes and to make practical predictions. Such model could be various type of differential equations: ordinary differential equations [11,23,34], delay differential equations [3,24,31,37], reaction-diffusion equations [4,7,32,36], first order partial differential equations with age-structure [6,13,26,30,35] and so on. In this paper, we will consider the following model, which is formulated from the one in [26] by incorporating the fertility rate τ 1 into the model,…”
mentioning
confidence: 99%