Abstract
In this paper, we focus on the propagation phenomena of a bistable man–environment epidemic model with nonlocal dispersals, where there exists a positive feedback interaction between the concentration of infectious agent and infectious human population. The monostable and bistable traveling wave solutions and three-wave entire solutions are studied. First, by applying and developing the known results for monostable case, we give a summary of the existence and asymptotic behavior of all monostable traveling wave solutions in two different monostable intervals and further find some relationship between them. The existence of bistable traveling wave solutions is obtained by introducing the results about monotone semiflows with weak compactness. Second, we give twelve types of three-wave entire solutions, which contain all possibilities of three-wave entire solutions originating from three traveling wave solutions with different nonzero wave speeds, by constructing new auxiliary functions and super- and sub-solutions for every type. We also show that these entire solutions are globally Lipschitz continuous with respect to spatial variable. In addition, the nonexistence result of entire solutions originating from more than four traveling wave solutions is obtained.
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Data Availability
The data that support the findings of this study are available from the authors on reasonable request.
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Li was partially supported by NSF of China (11731005) and Xu was partially supported by China Postdoctoral Science Foundation funded project (2019M660047, 2020T130679).
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Appendix A. Proofs of Some Lemmas in Section 3.2
Appendix A. Proofs of Some Lemmas in Section 3.2
1.1 A.1 Proof of Lemma 3.8
We denote
It follows that \(\epsilon _1\), \(\epsilon _3>1\), \(\epsilon _2\), \(\epsilon _4\), \(\epsilon _5\), \(\epsilon _6\in (0,1)\) and
In what follows, we give the upper and lower bounds of \(\varvec{\phi }_1(\xi -q_1)\), \(\varvec{\phi }_2(\xi +q_2)\), and \(\varvec{\phi }_3(\xi +q_2)\) in four cases. The calculations are not complicated and we omit them. First, when \(\xi \le q_1(t)\), it holds that
Second, when \(q_1(t)\le \xi \le -q_1(t)\), we have
Third, when \(-q_1(t)\le \xi \le -q_2(t)\), it follows that
Fourth, when \(\xi \ge -q_2(t)\), we can get
Some calculations imply that
and
for any \(\xi \in {\mathbb {R}}\) and \(q_2\), \(q_1\) satisfying (3.17). Then, the second and third inequalities in Lemma 3.8 can be easily obtained. For the first inequality, we get from (3.12) and \(\varvec{\phi }_2'<0\) that
It follows that
and then
It completes the proof.
1.2 A.2 Proof of Lemma 3.9
When \(\xi \le -q_1(t)\), we have that
By \(P^{z},\phi _{11}',\phi _{31}'\ge 0\) and \(\phi _{21}'\le 0\), we have that when \(\xi \le q_1(t)\),
and when \(\xi \le -q_1(t)\),
When \(-q_1(t)\le \xi \le -q_2(t)\), we have that \(P^{y}\), \(P^{z}\ge 0\). Then, we compute that
for \(\delta \) sufficiently large. When \(\xi \ge -q_2(t)\), we have that \(P^z\ge 0\). Similarly, we obtain that
for \(\delta \) sufficiently large. It completes the proof.
1.3 A.3 Proof of Lemma 3.10
For given \((\xi ,t)\in {\mathbb {R}}\times {\mathbb {R}}^-\) and \(s\in {\mathbb {R}}\), when there is no confusion, we simply write
where \(\theta \in [0,1]\). Then, \(H_1(\xi ,t)\) can be represented as follows:
We denote
By mean value theorem, there exist \(\theta _1\), \(\theta _2\), and \(\theta _3\) in (0, 1) such that
where
Then, we can get that
Also by mean value theorem, there exist \(\theta _4\), \(\theta _5\), and \(\theta _6\) in (0, 1) such that
where
There exist \(\theta _7\) and \(\theta _8\) in (0, 1) such that
where
There is a constant \(\theta _9\in (0,1)\) such that
where
Based on the above formulas, we can get that
In what follows, we provide the detailed estimations only for \(|G_1(\xi ,t,s;\theta _4)/ A_1(\xi ,t)|\), and for \(|G_i(\xi ,t,s;\theta _{i+3})/ A_1(\xi ,t)|\) with \(i=2,\ldots ,6\), the methods are similar. We get from the mean value theorem that
where \(\theta _{10}\) is some constant in [0, 1]. In addition, for the \(C_3\) given by Lemma 3.6, there is a sufficiently large constant \(C_4\) such that
Now, we consider the following six cases. Recall that the constant m, which appears below, is defined in assumption (J4).
Case 1: When \(\xi \le q_1(t)\), based on Lemmas 3.6, 3.7, 3.8, and 3.9 (i), we have that for \(s\in \text {supp}(J_1)\), there exists a positive constant \({\tilde{M}}_1\) such that
Case 2: When \(q_1(t)\le \xi \le 0\), based on Lemmas 3.6, 3.7, 3.8, and 3.9 (ii), we have that for \(s\in \text {supp}(J_1)\), there exists a positive constant \({\tilde{M}}_2\) such that
Case 3: When \(0\le \xi \le -q_1(t)\), based on Lemmas 3.6, 3.7, 3.8, and 3.9 (ii), we have that for \(s\in \text {supp}(J_1)\), there exists a positive constant \({\tilde{M}}_3\) such that
Case 4: When \(-q_1(t)v\le \xi \le (-q_1(t)-q_2(t))/2\), based on Lemma 3.6, 3.7, 3.8, and 3.9(iii), we have that for \(s\in \text {supp}(J_1)\), there exists a positive constant \({\tilde{M}}_4\) such that
Case 5: When \((-q_1(t)-q_2(t))/2\le \xi \le -q_2(t)\), based on Lemmas 3.6, 3.7, 3.8, and 3.9 (iii), we have that for \(s\in \text {supp}(J_1)\), there exists a positive constant \({\tilde{M}}_5\) such that
Case 6: When \(\xi \ge -q_2(t)\), based on Lemmas 3.6, 3.7, 3.8, and 3.9 (iv), we have that for \(s\in \text {supp}(J_1)\), there exists a positive constant \({\tilde{M}}_6\) such that
With the above estimates, we can get (3.19) from (3.31) and \(\int _{{\mathbb {R}}}J_1(x) dx=1\), immediately. It completes the proof.
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Hu, RY., Li, WT. & Xu, WB. Propagation Phenomena for Man–Environment Epidemic Model with Nonlocal Dispersals. J Nonlinear Sci 32, 67 (2022). https://doi.org/10.1007/s00332-022-09825-6
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DOI: https://doi.org/10.1007/s00332-022-09825-6