Figures & data
Figure 1. (a) and (c): The asymptotic behaviour of the solutions to stochastic model (2) around the positive equilibrium of model (1) with initial value ; (b) and (d): The density function diagrams of
and
, respectively. The parameters are taken as (Equation23
(23)
(23) ) and m = 0.1, K = 0.3,
.
![Figure 1. (a) and (c): The asymptotic behaviour of the solutions to stochastic model (2) around the positive equilibrium of model (1) with initial value (x(0),y(0))=(0.6,0.5); (b) and (d): The density function diagrams of x(t) and y(t), respectively. The parameters are taken as (Equation23(23) α=0.6,b=0.3,β=0.3,c=0.8,a=0.3,γ=0.1,(23) ) and m = 0.1, K = 0.3, σ1=σ2=0.01.](/cms/asset/653704ca-c26c-47a4-a29f-646f218e800f/tjbd_a_1853832_f0001_oc.jpg)
Figure 2. Numerical simulation for model (Equation1(1)
(1) ) and model (Equation2
(2)
(2) ) with initial value
. The parameters are taken as (Equation23
(23)
(23) ) and m = 0.1, K = 0.3,
,
.
![Figure 2. Numerical simulation for model (Equation1(1) dxdt=αx1+Ky−bx2−β(1−m)xy1+a(1−m)x,dydt=−γy+cβ(1−m)xy1+a(1−m)x,(1) ) and model (Equation2(2) dx=αx1+Ky−bx2−β(1−m)xy1+a(1−m)xdt+σ1xdB1(t),dy=−γy+cβ(1−m)xy1+a(1−m)xdt+σ2ydB2(t),(2) ) with initial value (x(0),y(0))=(0.6,0.5). The parameters are taken as (Equation23(23) α=0.6,b=0.3,β=0.3,c=0.8,a=0.3,γ=0.1,(23) ) and m = 0.1, K = 0.3, σ1=1.1, σ2=0.01.](/cms/asset/d6eefc43-9b26-4290-8b6c-caf09c1e9fa7/tjbd_a_1853832_f0002_oc.jpg)
Figure 3. Numerical simulation for model (Equation1(1)
(1) ) and model (Equation2
(2)
(2) ) with initial value
. The parameters are taken as (Equation23
(23)
(23) ) and m = 0.1, K = 0.3,
,
.
![Figure 3. Numerical simulation for model (Equation1(1) dxdt=αx1+Ky−bx2−β(1−m)xy1+a(1−m)x,dydt=−γy+cβ(1−m)xy1+a(1−m)x,(1) ) and model (Equation2(2) dx=αx1+Ky−bx2−β(1−m)xy1+a(1−m)xdt+σ1xdB1(t),dy=−γy+cβ(1−m)xy1+a(1−m)xdt+σ2ydB2(t),(2) ) with initial value (x(0),y(0))=(0.6,0.5). The parameters are taken as (Equation23(23) α=0.6,b=0.3,β=0.3,c=0.8,a=0.3,γ=0.1,(23) ) and m = 0.1, K = 0.3, σ1=0.1, σ2=0.9.](/cms/asset/7c5e7611-bdf7-49f3-b4c0-905413ff265c/tjbd_a_1853832_f0003_oc.jpg)
Figure 4. Numerical simulation for model (Equation1(1)
(1) ) and model (Equation2
(2)
(2) ) with initial value
and different K, respectively. The parameters are taken as (Equation23
(23)
(23) ) and m = 0.1,
.
![Figure 4. Numerical simulation for model (Equation1(1) dxdt=αx1+Ky−bx2−β(1−m)xy1+a(1−m)x,dydt=−γy+cβ(1−m)xy1+a(1−m)x,(1) ) and model (Equation2(2) dx=αx1+Ky−bx2−β(1−m)xy1+a(1−m)xdt+σ1xdB1(t),dy=−γy+cβ(1−m)xy1+a(1−m)xdt+σ2ydB2(t),(2) ) with initial value (x(0),y(0))=(0.6,0.5) and different K, respectively. The parameters are taken as (Equation23(23) α=0.6,b=0.3,β=0.3,c=0.8,a=0.3,γ=0.1,(23) ) and m = 0.1, σ1=σ2=0.01.](/cms/asset/44e301cc-5ce5-4be7-bf3f-4c98ba6451eb/tjbd_a_1853832_f0004_oc.jpg)
Figure 5. The solutions of model (Equation2(2)
(2) ) with the initial value
and different K,m, respectively. The parameters are taken as (Equation23
(23)
(23) ) and
.
![Figure 5. The solutions of model (Equation2(2) dx=αx1+Ky−bx2−β(1−m)xy1+a(1−m)xdt+σ1xdB1(t),dy=−γy+cβ(1−m)xy1+a(1−m)xdt+σ2ydB2(t),(2) ) with the initial value (x(0),y(0))=(0.6,0.5) and different K,m, respectively. The parameters are taken as (Equation23(23) α=0.6,b=0.3,β=0.3,c=0.8,a=0.3,γ=0.1,(23) ) and σ1=σ2=0.01.](/cms/asset/b131d746-5597-4aa8-a280-6d3701c6fccf/tjbd_a_1853832_f0005_oc.jpg)
Figure 6. The solutions of model (Equation2(2)
(2) ) with the initial value
and different K,m, respectively. The parameters are taken as (Equation23
(23)
(23) ) and
.
![Figure 6. The solutions of model (Equation2(2) dx=αx1+Ky−bx2−β(1−m)xy1+a(1−m)xdt+σ1xdB1(t),dy=−γy+cβ(1−m)xy1+a(1−m)xdt+σ2ydB2(t),(2) ) with the initial value (x(0),y(0))=(0.6,0.5) and different K,m, respectively. The parameters are taken as (Equation23(23) α=0.6,b=0.3,β=0.3,c=0.8,a=0.3,γ=0.1,(23) ) and σ1=1.1,σ2=0.01.](/cms/asset/c6a46621-144b-492d-a0b3-f416bdd4ee4b/tjbd_a_1853832_f0006_oc.jpg)