2005
DOI: 10.1016/j.mbs.2005.03.008
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Spreading speeds as slowest wave speeds for cooperative systems

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Cited by 259 publications
(246 citation statements)
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“…We note that the existence of a comparison principle for (1.1) can lead to a stronger result than that of Theorem 4. For example, the authors in [26] show that the selected front for this system is always the slowest monotone front. Here, we emphasize the marginal stability criterion, as this criterion applies to a larger set of examples, see the discussion at the end of the paper.…”
Section: Nonlinear Stabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…We note that the existence of a comparison principle for (1.1) can lead to a stronger result than that of Theorem 4. For example, the authors in [26] show that the selected front for this system is always the slowest monotone front. Here, we emphasize the marginal stability criterion, as this criterion applies to a larger set of examples, see the discussion at the end of the paper.…”
Section: Nonlinear Stabilitymentioning
confidence: 99%
“…In order to appeal to the results of [26], we must show that the front we constructed in Theorem 1 is the slowest monotone front. We sketch the argument.…”
Section: Nonlinear Stabilitymentioning
confidence: 99%
“…This result, which generalises Proposition 2. In fact, it can be shown, similarly to [11], that c 0 r is actually the slowest spreading speed for the system (3.1) with non-increasing initial data u(0, x) = u 0 (x) such that u 0 (−∞) = β, u 0 (+∞) = 0, in the sense of slowest spreading speed defined in [11, (2.4 Assume thatμ r is finite,…”
Section: Proof Part (I) Is Immediate From the Definitions Ofcmentioning
confidence: 77%
“…We comment that the estimate (53) shows that the kernel e −2Dt I m (2Dt) behaves like the Gaussian kernel when m is small and the estimate (54) shows that the kernel e −2Dt I m (2Dt) behaves like the exponentially decaying when m is large as the time t is fixed. We have the following corollary for the tail estimates on u(t, x) (Corollary 2.2 in Hu and Li (2015)).…”
Section: Simulations For Two Species Modelmentioning
confidence: 92%