Research article Special Issues

The Prevalence and Correlates of Gambling Participation among Community-Dwelling Chinese Older Adults in the U.S.

  • Received: 17 December 2014 Accepted: 17 May 2015 Published: 20 May 2015
  • This study aimed to examine the prevalence and correlates of gambling participation and problems among community-dwelling Chinese older adults in the U.S. Based on a community-based participatory research approach, the study enrolled 3,159 Chinese older adults aged 60 years and above in the greater Chicago area. Among the participants, 58.9% were women and the average age was 72.8 years. Overall, 467 older adults had engaged in gambling in the past twelve months and 65 older adults had experienced any risk of problem gambling. Visiting a casino was the most commonly reported type of gambling, whereas betting on Mahjong had the highest frequency. Being male, lower educational levels, higher income levels, having more children, living in the U.S. for a longer period of time, living in the community for a longer period of time, better health status, lower quality of life, and improved health over the past year were significantly correlated with any gambling in the past year. Younger age, being male, and living with more people were significantly correlated with experiencing any risk of problem gambling in the past year. Future studies should be conducted to better examine the health effects of gambling and problem gambling among Chinese older adults.

    Citation: Ruijia Chen, XinQi Dong. The Prevalence and Correlates of Gambling Participation among Community-Dwelling Chinese Older Adults in the U.S.[J]. AIMS Medical Science, 2015, 2(2): 90-103. doi: 10.3934/medsci.2015.2.90

    Related Papers:

    [1] Mohammad Sajid, Sahabuddin Sarwardi, Ahmed S. Almohaimeed, Sajjad Hossain . Complex dynamics and Bogdanov-Takens bifurcations in a retarded van der Pol-Duffing oscillator with positional delayed feedback. Mathematical Biosciences and Engineering, 2023, 20(2): 2874-2889. doi: 10.3934/mbe.2023135
    [2] Mengyun Xing, Mengxin He, Zhong Li . Dynamics of a modified Leslie-Gower predator-prey model with double Allee effects. Mathematical Biosciences and Engineering, 2024, 21(1): 792-831. doi: 10.3934/mbe.2024034
    [3] Hongqiuxue Wu, Zhong Li, Mengxin He . Dynamic analysis of a Leslie-Gower predator-prey model with the fear effect and nonlinear harvesting. Mathematical Biosciences and Engineering, 2023, 20(10): 18592-18629. doi: 10.3934/mbe.2023825
    [4] Kunlun Huang, Xintian Jia, Cuiping Li . Analysis of modified Holling-Tanner model with strong Allee effect. Mathematical Biosciences and Engineering, 2023, 20(8): 15524-15543. doi: 10.3934/mbe.2023693
    [5] Yingzi Liu, Zhong Li, Mengxin He . Bifurcation analysis in a Holling-Tanner predator-prey model with strong Allee effect. Mathematical Biosciences and Engineering, 2023, 20(5): 8632-8665. doi: 10.3934/mbe.2023379
    [6] Xiaoli Wang, Junping Shi, Guohong Zhang . Bifurcation analysis of a wild and sterile mosquito model. Mathematical Biosciences and Engineering, 2019, 16(5): 3215-3234. doi: 10.3934/mbe.2019160
    [7] Zhenliang Zhu, Yuming Chen, Zhong Li, Fengde Chen . Dynamic behaviors of a Leslie-Gower model with strong Allee effect and fear effect in prey. Mathematical Biosciences and Engineering, 2023, 20(6): 10977-10999. doi: 10.3934/mbe.2023486
    [8] Juan Li, Yongzhong Song, Hui Wan, Huaiping Zhu . Dynamical analysis of a toxin-producing phytoplankton-zooplankton model with refuge. Mathematical Biosciences and Engineering, 2017, 14(2): 529-557. doi: 10.3934/mbe.2017032
    [9] Juan Ye, Yi Wang, Zhan Jin, Chuanjun Dai, Min Zhao . Dynamics of a predator-prey model with strong Allee effect and nonconstant mortality rate. Mathematical Biosciences and Engineering, 2022, 19(4): 3402-3426. doi: 10.3934/mbe.2022157
    [10] Yuhong Huo, Gourav Mandal, Lakshmi Narayan Guin, Santabrata Chakravarty, Renji Han . Allee effect-driven complexity in a spatiotemporal predator-prey system with fear factor. Mathematical Biosciences and Engineering, 2023, 20(10): 18820-18860. doi: 10.3934/mbe.2023834
  • This study aimed to examine the prevalence and correlates of gambling participation and problems among community-dwelling Chinese older adults in the U.S. Based on a community-based participatory research approach, the study enrolled 3,159 Chinese older adults aged 60 years and above in the greater Chicago area. Among the participants, 58.9% were women and the average age was 72.8 years. Overall, 467 older adults had engaged in gambling in the past twelve months and 65 older adults had experienced any risk of problem gambling. Visiting a casino was the most commonly reported type of gambling, whereas betting on Mahjong had the highest frequency. Being male, lower educational levels, higher income levels, having more children, living in the U.S. for a longer period of time, living in the community for a longer period of time, better health status, lower quality of life, and improved health over the past year were significantly correlated with any gambling in the past year. Younger age, being male, and living with more people were significantly correlated with experiencing any risk of problem gambling in the past year. Future studies should be conducted to better examine the health effects of gambling and problem gambling among Chinese older adults.


    1. Introduction

    Many differential equations have been proposed (see [8,11,13], [17]-[19], [21]-[22], [24,27] and references therein) to model the dynamic changes of substrate concentration and product one in enzyme-catalyzed reactions. Among those models, a typical form ([7]) is the following skeletal system

    $ \left\{ ˙x=vV1(x,y)V3(x),˙y=q(V1(x,y)V2(y)),
    \right. \label{sp0} $
    (1)

    where $x$ and $y$ denote the concentrations of the substrate and the product respectively, $v$ and $q$ are both positive constants, $V_1(x, y)$ and $V_2(y)$ denote the enzyme reaction rate and the output rate of the product respectively and satisfy that

    $ V_{1}(0, y)=0, ~~ \partial V_{1}/\partial x>0, ~~ \partial V_{1}/\partial y>0, ~~ V_2(y)\geq0, ~~ \forall x, y>0, $

    and $V_3(x)$ denotes the branched-enzyme reaction rate. Figure 1 shows the scheme of the enzyme-catalyzed reaction which comprises a branched network from the substrate. In Figure 1, $S$ and $P$ represent the substrate and product, respectively, and $E_1, E_2$ and $E_3$ are the three enzymes.

    Figure 1. Reaction scheme.

    The case that $V_3(x)\equiv0$ in system (1), which represents an unbranched reaction, has been discussed extensively in [1,6,7,9,20]. Recently, more efforts were made to the case that $V_3(x)\not\equiv0$. One of the efforts ([12,23]) is made for $V_1(x, y)=x^my^n, V_2(y)=y$ and $V_3(x)=lx$ and $v=1$, with which system (1) reduces to

    $ \left\{ ˙x=1xmynlx,˙y=q(xmyny),
    \right. $

    called the multi-molecular reaction model sometimes, where $m, n\geq1$ are integers and $l\geq0$ is real. All local bifurcations of this system such as saddle-node bifurcation, Hopf bifurcation and Bogdanov-Takens bifurcation were discussed in [12] and [23]. Reference [15] is concerned with the case that $V_1(x, y)=\gamma x^my^n$, $V_3(x)=\beta x$, $q=1$ and $V_2(y)$ is a saturated reaction rate, i.e., $V_2(y)=v_2y/(\mu_2+y)$, with which (1) reduces to

    $ \left\{ ˙x=vγxmynβx,˙y=γxmynv2yμ2+y,
    \right. $

    where $v, \gamma>0, {\mu}_{2}, v_2$ and $\beta\geq0$. Results on existence and nonexistence of periodic solutions on Hopf bifurcation were obtained in [15] with $n=1$ and $\beta=0$. When $V_2(y)$ and $V_3(x)$ are both saturated reaction rates, system (1) was considered in [16] as

    $ \left\{ ˙x=vV1(x,y)v3xu3+x,˙y=q(V1(x,y)v2yu2+y)
    \right. $

    with $V_1(x, y)=v_1x(1+x)(1+y)^2/[L+(1+x)^2(1+y)^2]$, where $L$ is the allosteric constant of $E_1$. Varying the parameter $v_2$ but fixing the other parameters, Liu ([16]) investigated numerically how the enzyme saturation affects the emergence of dynamical behaviors such as the change from a stable oscillatory state to a divergent state. Later, Davidson and Liu ([3]) discussed the saddle-node bifurcation, Hopf bifurcation and the global bifurcation corresponding to the appearance of homoclinic orbit. When $V_2(y)$ and $V_3(x)$ are both saturated reaction rates, system (1) was also considered in [4] as

    $ \label{sp1} \left\{ ˙x=vv1xyv3xu3+x,˙y=q(v1xyv2yu2+y)
    \right. $
    (2)

    with $V_1(x, y)=v_{1}xy$. With a change of variables $x=u_{3} \tilde{x}, \ y=u_{2}\tilde{y}$ and the time rescaling $t\to v_{1}^{-1}\mu_{2}^{-1}t$, system (2) can be written as

    $ \left\{ ˙x=axybx1+x,˙y=κy(xc1+y),
    \right. \label{xy0} $
    (3)

    where we still use $x$, $y$ to present $\tilde{x}$, $\tilde{y}$ and take notations $a:=v_{1}^{-1}u_{3}^{-1}u_{2}^{-1}v$, $b:=v_{1}^{-1}u_{3}^{-1}u_{2}^{-1}v_{3}$, $c:=v_{1}^{-1}u_{3}^{-1}u_{2}^{-1}v_{2}$ and $\kappa:=u_{2}^{-1}q u_{3}$ for positive constants. Actually, system (3) is orbitally equivalent to the following quartic polynomial differential system

    $ \left\{ ˙x=(1+y){(1+x)(axy)bx},˙y=κ(1+x)y{(1+y)xc},
    \right. \label{xy1} $
    (4)

    in the first quadrant ${\mathcal Q}_+:=\{(x, y):x\ge0, y\ge0\}$ by a time scaling $d\tau=(x+1)(y+1)dt$. In [4] Davidson, Xu and Liu discussed the case that $k=1$ and $a<c$, where the system has at most two equilibria, giving the existence of limit cycles (by the Poincaré-Bendixson Theorem seen in [10] or [26]) and the non-existence of periodic orbits (by the Dulac Criterion seen in [10] or [26]), proving the uniqueness of limit cycles (by reducing to the form of Liénard system) with some restrictions, and illustrating with the software AUTO saddle-node bifurcation, transcritical bifurcation and Hopf bifurcation for fixed $\kappa=1, b=1.5$ and $c=5$. Recently, the general case that $\kappa, a, b, c>0$ was discussed in [27], where all codimension-one bifurcations such as saddle-node, transcritical and pitchfork bifurcations were investigated and the weak focus was proved to be of at most order $2$.

    In this paper we continue the work of [27] to give conditions for the existence of a cusp and compute the parameter curves for the Bogdanov-Takens bifurcation, which induces the appearance of homoclinic orbits and periodic orbits, indicating the tendency to steady-states or a rise of periodic oscillations for the concentrations of the substrate and product.


    2. Condition for cusp

    It is proved in [27] that system (4) has at most 3 equilibria, i.e., $E_0: (a/(b-a), 0)$, $E_1:(p_1, c/p_1-1)$ and $E_2:(p_2, c/p_2-1)$, where

    $ p1:=12{(abc+1)[(abc+1)24(ac)]1/2},p2:=12{(abc+1)+[(abc+1)24(ac)]1/2}.
    \label{p12} $
    (5)

    Moreover, if $a=a_*:=c+(b^{1/2}-1)^2$, then $E_1$ and $E_2$ coincide into one, i.e., the equilibrium $E_*: (b^{1/2}-1, c(b^{1/2}+1)/(b-1)-1)$. There are found in [27] totally 6 bifurcation surfaces

    $ TE0:={(a,b,c,κ)R4+|a=bc/(1+c),b(c+1)2}:=4i=1T(i)E0,PE0:={(a,b,c,κ)R4+|a=bc/(1+c),b=(c+1)2},HE1:={(a,b,c,κ)R4+|κ=κ1,bc/(1+c)<a<c,0<b1}{(a,b,c,κ)R4+|κ=κ1,bc/(1+c)<a<c+(b1/21)2,1<b<(c+1)2},SNE:={(a,b,c,κ)R4+|a=a, 1<b<(c+1)2,κκ}:=4i=1SN(i)E,B1:={(a,b,c,κ)R4+|a=c},B2:={(a,b,c,κ)R4+|a=b},
    $

    which divide $\mathbb{R}_+^4:=\{(a, b, c, \kappa): a>0, b>0, c>0, \kappa>0\}$ into 8 subregions

    $ R1:={(a,b,c,κ)R4+|c<a<a,1<b<c,c>1,  or  b<a<a,c<b<(c+1)2/4,c>1},R2:={(a,b,c,κ)R4+|b<a<c,0<b<c}R3:={(a,b,c,κ)R4+|bc/(1+c)<a<b,0<b<c  or  bc/(1+c)<a<c,c<b<c+1},R4:={(a,b,c,κ)R4+|0<a<bc/(1+c),0<b<c+1  or  0<a<c,b>c+1},R5:={(a,b,c,κ)R4+|c<a<bc/(1+c),b>c+1},R6:={(a,b,c,κ)R4|c<a<b,c<b<(c+1),c>3  or  bc/(1+c)<a<b,c+1<b<(c+1)2/4,c>3  or  bc/(1+c)<a<a,(c+1)2/4<b<(c+1)2,c>3  or  c<a<b,c<b<(c+1)2/4,1<c3  or  c<a<a,(c+1)2/4<b<c+1,1<c3  or  bc/(1+c)<a<c+(b1/21)2,(c+1)<b<(c+1)2,c3  or  c<a<a,1<b<c+1,c1},R7:={(a,b,c,κ)R4+|c+(b1/21)2<a<b,(c+1)2/4<b<(c+1)2,c>1  or  bc/(1+c)<a<b,b>(c+1)2  or  c<a<b,c<b<1,c1  or  c+(b1/21)2<a<b,1<b<(c+1)2,c1},R0:=R4+{PE0SNETE0(2i=1Bi)B(7i=1Ri)},
    $

    where

    $ T(1)E0:={(a,b,c,κ)R4+|a=bc/(1+c),0<b<c+1},T(2)E0:={(a,b,c,κ)R4+|a=bc/(1+c),c+1<b<(c+1)2},T(3)E0:={(a,b,c,κ)R4+|a=bc/(1+c),b>(c+1)2},T(4)E0:={(a,b,c,κ)R4+|a=bc/(1+c),b=c+1},SN(1)E:={(a,b,c,κ)R4+|a=a, 1<b<(c+1)2/4,c>1,κκ},SN(2)E:={(a,b,c,κ)R4+|a=a, b=(c+1)2/4,c>1,κκ},SN(3)E:={(a,b,c,κ)R4+|a=a, (c+1)2/4<b<(c+1)2,c>1,κκ},SN(4)E:={(a,b,c,κ)R4+|a=a, 1<b<(c+1)2,c1,κκ},κ1:=p21{(p1+1)(cp1)}1c{p1(cp1)+a},κ:=(cb1/2+1)1(b1/21)2c2.
    \label{pa0k0} $
    (6)

    The following lemma is a summary of Theorems 1, 2 and 3 of [27].

    Lemma 2.1. (ⅰ) System (4) has a saddle-node $E_0$ if $(a, b, c, \kappa)\in {\mathcal T}_{E_0}\cup{\mathcal P}_{E_0}$. Moreover, as $(a, b, c, \kappa)$ crosses either ${\mathcal T}_{E_0}^{(1)}$ from ${\mathcal R}_3$ to ${\mathcal R}_4$, ${\mathcal T}_{E_0}^{(2)}$ from ${\mathcal R}_6$ to ${\mathcal R}_5$, or ${\mathcal T}_{E_0}^{(4)}$ from ${\mathcal R}_6$ to ${\mathcal R}_4$, a saddle $E_0$ and a stable (resp. unstable) node $E_1$ merge into a stable node $E_0$ on the boundary of the first quadrant ${\mathcal Q}_+$ for $\kappa<\kappa_1$(resp. $\kappa>\kappa_1$) through a transcritical bifurcation; as $(a, b, c, \kappa)$ crosses ${\mathcal T}_{E_0}^{(3)}$ from ${\mathcal R}_5$ to ${\mathcal R}_7$, a stable node $E_0$ and a saddle $E_2$ merge into a saddle $E_0$ on the boundary of ${\mathcal Q}_+$ through a transcritical bifurcation; as $(a, b, c, \kappa)$ crosses ${\mathcal P}_{E_0}$ from ${\mathcal R}_7$ to ${\mathcal R}_5$, a saddle $E_0$ changes into a stable node $E_0$, a saddle $E_2$ through a pitchfork bifurcation at $E_0$ on the boundary of ${\mathcal Q}_+$.

    (ⅱ) System (4) has a weak focus $E_1$ of at most order 2 for $(a, b, c, \kappa)\in {\mathcal H}_{E_1}$, which is of order $\ell$ exactly and produces at most $\ell$ limit cycles through Hopf bifurcations as $(a, b, c, \kappa)\in {\mathcal H}_{E_1}^{(\ell)}$, $\ell=1, 2$, where ${\mathcal H}_{E_1}^{(1)}:={\mathcal H}_{E_1}\backslash{\mathcal H}_{E_1}^{(2)}$ and

    $ H(2)E1:={(a,b,c,κ)HE1:2p1(p1+1)a3+{(p21+p1+1)c2+p1(2p21+p12)c3p31(p1+1)}a2(cp1){(p31+3p21+p1+1)c2+2p21(p21+3p1+3)c+3p41(p1+1)}a+p21{(p1+2)c+p21}{cp1(p1+1)}(cp1)2=0}.
    $

    (ⅲ) System (4) has a saddle-node $E_*$ if $(a, b, c, \kappa)\in {\mathcal SN}_{E_*}$. Moreover, as $(a, b, c, \kappa)$ crosses either ${\mathcal SN}_{E_*}^{(1)}$ from ${\mathcal R}_0$ to ${\mathcal R}_1$, ${\mathcal SN}_{E_*}^{(2)}$ from ${\mathcal R}_0$ to ${\mathcal R}_6$, or ${\mathcal SN}_{E_*}^{(3)}\cup{\mathcal SN}_{E_*}^{(4)}$ from ${\mathcal R}_7$ to ${\mathcal R}_6$, a stable (resp. unstable) node $E_1$ and a saddle $E_2$ arise through a saddle-node bifurcation for $\kappa<\kappa_1$(resp. $\kappa>\kappa_1$).

    The above Lemma 2.1 does not consider parameters in the set

    $ \mathcal{B} := \{(a, b, c, \kappa)\in \mathbb{R}_+^4| a=a_*, ~1<b<(c+1)^2, \kappa=\kappa_*\}, \label{BT} $ (7)

    where $a_*$ is given below (5) and $\kappa_*$ is given in (6). $\mathcal{B}$ is actually the intersection of the saddle-node bifurcation surface ${\mathcal SN}_{E_*}$ and the Hopf bifurcation surface ${\mathcal H}_{E_1}$, which are described by the curves $\widehat{{\mathcal SN}_{E_*}}$ and $\widehat{{\mathcal H}_{E_1}}$ respectively on the section $\{(a, b, c, \kappa)\in \mathbb{R}_+^4 | b=2, ~c=1\}$ in Figure 2. The intersection of $\widehat{{\mathcal SN}_{E_*}}$ and $\widehat{{\mathcal H}_{E_1}}$ indicates ${\mathcal B}$.

    Figure 2. Bifurcation surfaces projection on the $(a, \kappa)$-plane.

    This paper is devoted to bifurcations in $\mathcal{B}$. For $(a, b, c, \kappa)\in \mathcal{B}$, equilibrium $E_*$ is degenerate with two zero eigenvalues. In the following lemma we prove that $E_*$ is a cusp.

    Lemma 2.2. If $(a, b, c, \kappa)\in \mathcal{B}\backslash\mathcal{C}$, where

    $ \mathcal{C}:=\big\{(a, b, c, \kappa)\in \mathcal{B} | c=\varsigma(b):=\frac{1}{4b^{1/2}}(b^{1/2}-1)\{b^{1/2}+2+(17b-12b^{1/2}+4)^{1/2}\}\big\}, $

    then equilibrium $E_*$ is a cusp in system (4).

    Proof. For simplicity in statements, we use the notation

    $ p:=b^{1/2}-1. \label{p} $ (8)

    For $(a, b, c, \kappa)\in{\mathcal B}$, system (4) can be transformed into the form

    $ \left\{ ˙x=y+c(p2+cp+c)p3x2+1p+1xypc2(p+1)y2c(p2+c)p4x3p2+2pc+2cp2c(p+1)x2y2p+1c2(p+1)2xy2c2p4x42p2(p+1)x3y1c2(p+1)2x2y2,˙y=c3(p+1)p3x2c2(p+1)p2(cp)xy1cpy2(p+1)(p2+c)p5(cp)x3c(p2+2pc+2c)p3(cp)x2y2p+1p(p+1)(cp)xy2c4(p+1)p5(cp)x42c2p3(cp)x3y1p(p+1)(cp)x2y2,
    \right. \label{bt0} $
    (9)

    by translating $E_*$ to the origin $O$ and Jordanizing the linear part of system (4). For convenience, introducing new variables $(x, y)\mapsto (u, v)$, where $u=x$ and $v$ denotes the right-hand side of the first equation in (9), we change (9) into the Kukles form

    $ \left\{ ˙u=v,˙v=c3(p+1)p3u2+c{(2p+2)c2(p2+3p)c2p3}p3(cp)uv+c2p1(p+1)(cp)v2+c3(p2+c)p4(cp)u3c{(p+1)(p+3)c2+p(p23p3)cp3(3p+2)}p4(p+1)(cp)u2v(5p2+8p+4)c+2p2(p+1)cp2(p+1)2uv21c2(p+1)v3c2(c2+2p2cp3)p5(cp)u4+1p5(p+1)2(cp){(p+4)(p+1)2c3+p(7p3+7p23p4)c2p3(8p2+15p+8)c2p5(p+1)}u3v+(3p3+6p2+6p+2)c2+p(2p+1)(2p2+2p1)cp3(p+1)(7p+4)cp3(p+1)3(cp)u2v2(3p+4)c23p(p+2)c2p3c3p(p+1)2(cp)uv32c3pc4(p+1)2(cp)v4+O(|u,v|5).
    \right. \label{bt1} $
    (10)

    Since the linear part is nilpotent, by Theorem 8.4 in [14] system (10) is conjugated to the Bogdanov-Takens normal form, i.e., the right-hand side of the second equation is a sum of terms of the form $au^k+bu^{k-1}v$. Hence, one can use the transformation $u\rightarrow u$, $v\rightarrow v-\frac{c-2p-1}{(p+1)(c-p)} uv$ together with the time-rescaling $dt=(1-\frac{c-2p-1}{(p+1)(c-p)}u)d\tau$ to change system (10) into the following

    $ \left\{ ˙u=v,˙v=c3(p+1)p3u2+c{(2p+2)c2(p2+3p)c2p3}p3(cp)uv+O(|u,v|3),
    \right. \label{bt2} $
    (11)

    where the term of $v^2$ is eliminated and terms of degree 2 are normalized. The term of $u^2$ exists since $-{c^3(p+1)}/{p^3}\neq 0$. For the existence of the term of $uv$, we need to discuss on the quadratic equation

    $ c^2-\frac{p^2+3p}{2(p+1)}c-\frac{p^3}{p+1}=0, \label{eq2} $ (12)

    which comes from the numerator of the coefficient of $uv$. Since the constant term is negative for $p>0$, the quadratic equation (12) has exactly one positive root

    $ c=\frac{1}{4}(p+1)^{-1}p\{p+3+(17p^2+22p+9)^{1/2}\}, $

    which defines the function $\varsigma(b)$ as shown in Lemma 2.2 with the replacement (8). It implies by Theorem 8.4 of [14] that for $c\neq\varsigma(b)$, i.e., $(a, b, c, \kappa)\in {\mathcal S}\backslash{\mathcal C}$, $O$ is a cusp of system (11). The proof of this lemma is completed.


    3. Bogdanov-Takens bifurcation

    In this section we discuss in the case that $(a, b, c, \kappa)\in {\mathcal B}\backslash{\mathcal C}$, in which system (4) is of codimension 2. We choose $a, \kappa$ as the bifurcation parameters and unfold the Bogdanov-Takens normal forms of codimensions $2$ when $(a, \kappa)$ is perturbed near the point $(a_*, \kappa_*)$, where $a_*$ is given below (5) and $\kappa_*$ is given in (6).

    Theorem 3.1. If $(a, b, c, \kappa)\in \mathcal{B}\backslash{\mathcal C}$, where ${\mathcal B}$ is defined in (7) and ${\mathcal C}$ is defined as in Lemma 2.2, then there are a neighborhood $U$ of the point $(a_*, \kappa_{*})$ in the $(a, \kappa)$-parameter space and four curves

    $ SN+:={(a,κ)U|a=a, κ>κ,0<c<ς(b)}{(a,κ)U|a=a, κ<κ,c>ς(b)},SN:={(a,κ)U|a=a, κ<κ,0<c<ς(b)}{(a,κ)U|a=a, κ>κ,c>ς(b)},H:={(a,κ)U|a=a((2b1/2+1)c2((b1/21)2+3(b1/21))c             2(b1/21)3)2b1/2(b1/21)6(cb1/2+1)4(κκ)2+O(|κκ|3),             κ>κ,0<c<ς(b)}{(a,κ)U|a=a((2b1/2+1)c2((b1/21)2+3(b1/21))c             2(b1/21)3)2b1/2(b1/21)6(cb1/2+1)4(κκ)2+O(|κκ|3),             κ<κ,c>ς(b)},L:={(a,κ)U|a=a49/25((2b1/2+1)c2((b1/21)2+3(b1/21))c             2(b1/21)3)2b1/2(b1/21)6(cb1/2+1)4(κκ)2+O(|κκ|3),             κ>κ,0<c<ς(b)}{(a,κ)U|a=a49/25((2b1/2+1)c2((b1/21)2+3(b1/21))c             2(b1/21)3)2b1/2(b1/21)6(cb1/2+1)4(κκ)2+O(|κκ|3),             κ<κ,c>ς(b)},
    $

    such that system (4) produces a saddle-node bifurcation near $E_{*}$ as $(a, c)$ acrosses $\mathcal{SN}^{+}\cup \mathcal{SN}^{-}$, a Hopf bifurcation near $E_{*}$ as $(a, \kappa)$ acrosses $\mathcal{H}$, and a homoclinic bifurcation near $E_{*}$ as $(a, \kappa)$ acrosses $\mathcal{L}$, where $\kappa_*$ and $\varsigma(b)$ are given in (6) and Lemma 2.2 respectively.

    The above bifurcation curve ${\mathcal H}$ is exactly the same as ${\mathcal H}_{E_1}$ given in Lemma 2.1, and the union $\mathcal{SN}^{+}\bigcup \mathcal{SN}^{+}$ is exactly the bifurcation curves $\mathcal{SN}_{E_*}$ given in Lemma 2.1.

    Proof. Let $p=b^{1/2}-1$ and

    $ \varepsilon_{1}:=a-a_*, \varepsilon_{2}:=\kappa-\kappa_*, \label{eee} $ (13)

    and consider $|\varepsilon_{1}|$ and $|\varepsilon_{2}|$ both to be sufficiently small. Expanding system (4) at $E_{*}$, we get

    $ \label{btb0} \left\{ ˙x=c(p+1)pε1+(c2(p+1)p2+cpε1)x+(c(p+1)+(p+1)ε1)yc(cp)p2x2+(c(2+3p)p+ε1)xyp(p+1)y2+O((x,y)3),˙y=(c3(p+1)p4+c(p+1)(cp)p2ε2)x+(c2(p+1)p2+(p+1)(cp)ε2)y+(c3p4+c(cp)p2ε2)x2+(c3(2+3p)c2p(2p+1)(cp)p3+c(3p+2)p(2p+1)pε2)xy+(c2(p+1)(cp)p+p(p+1)ε2)y2+O((x,y)3).
    \right. $
    (14)

    Introducing new variables $(x, y)\mapsto (\xi_1, \eta_1)$, where $\xi_1=x$ and $\eta_1$ denotes the right-hand side of the first equation in (14), we change (14) into the Kukles form, whose second order truncation is the following

    $ \left\{ ˙ξ1=η1,˙η1=E00(ε1,ε2)+E10(ε1,ε2)ξ1+E20(ε1,ε2)ξ21+F(ξ1,ε1,ε2)η1+E02(ε1,ε2)η21,
    \right. $
    (15)

    where $ F(\xi_{1}, \varepsilon_{1}, \varepsilon_{2}):=E_{01}(\varepsilon_{1}, \varepsilon_{2}) +E_{11}(\varepsilon_{1}, \varepsilon_{2})\xi_{1} $ and $E_{ij}$ s ($i, j=0, 1, 2$) are given in Appendix. Notice that $(a, b, c, \kappa)\in {\mathcal B}\backslash{\mathcal C}$ implies that $c\neq\varsigma(b)$. From (12) we see that the quadratic equation has exactly one positive root $c=\varsigma(b)$. Thus, for $c\neq\varsigma(b)$ we can check that

    $ F(0, 0, 0)=0, ~~~ \frac{\partial F}{\partial\xi_{1}}(0, 0, 0)=E_{11}(0, 0)=(2p+2)(c^2-\frac{p^2+3p}{2(p+1)}c-\frac{p^3}{p+1})\ne 0. $

    By the Implicit Function Theorem, there exists a function $\xi_{1}=\xi_{1}(\varepsilon_{1}, \varepsilon_{2})$ defined in a small neighborhood of $(\varepsilon_{1}, \varepsilon_{2})=(0, 0)$ such that $\xi_{1}(0, 0)=0$ and $F(\xi_{1}(\varepsilon_{1}, \varepsilon_{2}), \varepsilon_{1}, \varepsilon_{2})=0$. Thus, from the definition of $F$ we obtain $\xi_{1}(\varepsilon_{1}, \varepsilon_{2})= -{E_{01}(\varepsilon_{1}, \varepsilon_{2})}/{E_{11}(\varepsilon_{1}, \varepsilon_{2})}$ near $(0, 0)$. Then, we use a parameter-dependent shift

    $ \xi_{2}=\xi_{1}-\xi_{1}(\varepsilon_{1}, \varepsilon_{2}), \eta_{2}=\eta_{1} $

    to vanish the term proportional to $\eta_2$ in the equation for $\eta_2$ from system (15), which leads to the following system

    $ \label{btphi} \left\{ ˙ξ2=η2,˙η2=ψ1(ε1,ε2)+ψ2(ε1,ε2)ξ2+E20(ε1,ε2)ξ22+E11(ε1,ε2)ξ2η2+E02(ε1,ε2)η22,
    \right. $
    (16)

    where

    $ ψ1(ε1,ε2):=E00(ε1,ε2)+E10(ε1,ε2)ξ1(ε1,ε2)+E20(ε1,ε2)ξ21(ε1,ε2),ψ2(ε1,ε2):=E10(ε1,ε2)+2ξ1(ε1,ε2)E20(ε1,ε2).
    $

    In order to eliminate the $\eta_2^2$ term, one can use the transformation

    $ \xi_3= \xi_2, ~~~ \eta_3= \eta_2-E_{02}(\varepsilon_{1}, \varepsilon_{2})\xi_2\eta_2 $

    together with the time-rescaling $dt=(1-E_{02}(\varepsilon_{1}, \varepsilon_{2})\xi_2)d\tau$ to change system (16) into the following

    $ \label{btphi2} \left\{ ˙ξ3=η3,˙η3=ζ1(ε1,ε2)+ζ2(ε1,ε2)ξ3+˜E20(ε1,ε2)ξ23+E11(ε1,ε2)ξ3η3,
    \right. $
    (17)

    where

    $ ζ1(ε1,ε2):=ψ1(ε1,ε2),   ζ2(ε1,ε2):=ψ2(ε1,ε2)ψ1(ε1,ε2)E02(ε1,ε2),˜E20(ε1,ε2):=E20(ε1,ε2)E10(ε1,ε2)E02(ε1,ε2).
    $

    Further, in order to reduce coefficient of $\xi_3^2$ to $1$, we apply the transformation

    $ u=\frac{\tilde{E}_{20}(\varepsilon_{1}, \varepsilon_{2})}{E_{11}^2(\varepsilon_{1}, \varepsilon_{2})}\xi_{3}, v={\rm sign}\Big(\frac{E_{11}(\varepsilon_{1}, \varepsilon_{2})}{\tilde{E}_{20}(\varepsilon_{1}, \varepsilon_{2})}\Big) \frac{\tilde{E}_{20}^2(\varepsilon_{1}, \varepsilon_{2})}{E_{11}^3(\varepsilon_{1}, \varepsilon_{2})}, $

    where $ \tilde{E}_{20}(0, 0)=-\frac{c^3(p+1)}{p^3}<0, $ and the time-scaling $dt=|\frac{E_{11}(\varepsilon_{1}, \varepsilon_{2})}{\tilde{E}_{20}(\varepsilon_{1}, \varepsilon_{2})}|d\tau$ to system (17) and obtain

    $ \label{btf} \left\{ ˙u=v,˙v=ϕ1(ε1,ε2)+ϕ2(ε1,ε2)u+u2+ϑuv,
    \right. $
    (18)

    where $\vartheta={\rm sign}\Big(\frac{E_{11}(0, 0)}{\tilde{E}_{20}(0, 0)}\Big)$,

    $ ϕ1(ε1,ε2):=E411(ε1,ε2)˜E320(ε1,ε2)ζ1(ε1,ε2)={(2p+2)c2(p2+3p)c2p3}4ε1ϕ11(ε1,ε2)p4(cp)4ϕ212(ε1,ε2), ϕ2(ε1,ε2):=E211(ε1,ε2)˜E220(ε1,ε2)ζ2(ε1,ε2)=2{(2p+2)c2(p2+3p)c2p3}ϕ21(ε1,ε2)c3/2(cp)2(p+1)1/2pϕ3/212(ε1,ε2),
    $

    and polynomials $\phi_{ij}$ s are given in the Appendix.

    Let

    $ \label{muphi} \mu_{1}=\phi_{1}(\varepsilon_{1}, \varepsilon_{2}), \mu_{2}=\phi_{2}(\varepsilon_{1}, \varepsilon_{2}), $ (19)

    where $\phi_{1}$ and $\phi_{2}$ are defined just below (18). Clearly, $\phi_{1}(0, 0)=\phi_{2}(0, 0)=0$. Compute the Jacobian determinant of (19) at the point $(0, 0)$

    $ \left| ϕ1(ε1,ε2)ε1ϕ1(ε1,ε2)ε2ϕ2(ε1,ε2)ε1ϕ2(ε1,ε2)ε2
    \right|_{(\varepsilon_{1}, \varepsilon_{2})=(0, 0)} = -\frac{\{(2p+2)c^2-(p^2+3p)c-2p^3\}^5}{p^6c^4(c-p)^4(p+1)}\neq0, \label{Jacob} $
    (20)

    implying that (19) is a locally invertible transformation of parameters. This transformation makes a local equivalence between system (18) and the versal unfolding system

    $ \label{btw} \left\{ ˙˜u=˜v,˙˜v=μ1+μ2˜u+˜u2+ϑ˜u˜v,
    \right. $
    (21)

    where $\vartheta$ is given in (18). As indicated in Section 7.3 of [10], system (21) has the following bifurcation curves

    $ \label{btbifur} SN+:={(μ1,μ2)V0 | μ1=0, μ2>0},SN:={(μ1,μ2)V0 | μ1=0, μ2<0},H:={(μ1,μ2)V0 | μ1=μ22, μ2>0},L:={(μ1,μ2)V0 | μ1=4925μ22+o(|μ2|2), μ2>0},
    $
    (22)

    where $V_{0}$ is a small neighborhood of $(0, 0)$ in $\mathbb{R}^{2}$.

    In what follows, we present above bifurcation curves in parameters $\varepsilon_1$ and $\varepsilon_2$ in explicit forms. For this purpose, we need the relation between $(\varepsilon_1, \varepsilon_2)$ and $(\mu_1, \mu_2)$. Note that $\phi_1$ and $\phi_2$ defined just below (18) are $C^{k}$ near the origin (0, 0)($k$ is an arbitrary integer). By condition (20), the well-known Implicit Function Theorem implies that there are two $C^k$ functions

    $ \varepsilon_1=\omega_1(\mu_1, \mu_2), ~~~~\varepsilon_2=\omega_2(\mu_1, \mu_2) \label{eps12} $ (23)

    in a small neighborhood of $(0, 0, 0, 0)$ such that $\omega_1(0, 0)=\omega_2(0, 0)=0$ and

    $ \mu_1=\phi_1(\omega_1(\mu_1, \mu_2), \omega_2(\mu_1, \mu_2)), ~~~ \mu_2=\phi_2(\omega_1(\mu_1, \mu_2), \omega_2(\mu_1, \mu_2)). \label{compare-coeff} $ (24)

    Substitute the second order formal Taylor expansions of $\omega_1$ and $\omega_2$ in (24) while expand $\phi_1$ and $\phi_2$ in (24) to the second order

    $ ϕ1(ε1,ε2)={(2p+2)c2(p2+3p)c2p3}4ε1/{p6c2(cp)4(p+1)}{(2p+2)c2(p2+3p)c2p3}4(24p2c4+42c4p+21c48p3c354c3p244c3p36c2p412p3c2+27p2c2+8p5c+32cp4+16p6)ε21/{2c4p8(cp)6(p+1)2}{(2p+2)c2(p2+3p)c2p3}4ε1ε2/{(c4p4(cp)3(p+1)}+o(|ε1,ε2|2),
    $
    (25)
    $ ϕ2(ε1,ε2)={(2p+2)c2(p2+3p)c2p3}ε1/{2c2(p32cp+p2+c2p+c22cp2)p4}{(2p+2)c2(p2+3p)c2p3}ε2/c2{(2p+2)c2(p2+3p)c2p3}(243p3c3+832p3c4+513p2c4+455p4c3594p5c21347p3c51209p2c5+165p4c4+1138p5c3324p6c2424p7c200p5c4+382p6c3+512p7c2520cp8396c5p48p9+108c648p10+384c6p3+414c6p104cp9+264c2p8+594c6p2672c5p4+96c6p4136c5p544c4p676c3p7)ε21/{4c3(p+1)2(cp)4p6}{(2p+2)c2(p2+3p)c2p3}(8p2c4+23c4p+12c4+30p3c3+8c3p222c3p58c2p485p3c2+6p2c28p5c+46cp4+24p6)ε1ε2/{4c4p2(p+1)(cp)2}+(cp)p2{(2p+2)c2(p2+3p)c2p3}ε22/c4+o(|ε1,ε2|2).
    $
    (26)

    Then, comparing the coefficients of terms of the same degree in (24), we obtain the second order approximations

    $ ε1=c2p6(cp)4(p+1)μ1/{(2p+2)c2(p2+3p)c2p3}4+c2p10(cp)6(p+1)(32p2c4+56c4p+27c416p3c379c3p259c3p48c2p419p3c2+36p2c2+12p5c+50cp4+24p6)μ21/{2{(2p+2)c2(p2+3p)c2p3}8}+c2p8(cp)5(p+1)μ1μ2/{(2p+2)c2(p2+3p)c2p3}5+o(|μ1,μ2|2),
    $
    (27)
    $ ε2=c2p2(cp)2(8p512cp418cp3+8c3p211p2c29c2p+14c3p+6c3)μ1/{2{(2p+2)c2(p2+3p)c2p3}4}c2μ2/{(2p+2)c2(p2+3p)c2p3}+c2p6(cp)4(1314c7p2+630pc7270p3c4+2068p3c5+612p2c5+677p4c41134p5c3+4387p5c41056p6c31804p7c23741c6p3+756c5p4+1160c3p82268c6p4+1176c7p31272c5p6352c6p5+384c7p4320p11+108c7704cp10+224c2p92046c5p5+4258c4p6+832p7c41464p8c22289c6p2+1544p7c3450c6p1344cp9)μ21/{8{(2p+2)c2(p2+3p)c2p3}8}+c2p4(cp)2(40p2c4+61c4p+24c478p3c3158c3p268c3p14c2p4+43p3c2+48p2c2+32p5c+62cp4+24p6)μ1μ2/{4{(2p+2)c2(p2+3p)c2p3}5}+c2p2(cp)μ22/{(2p+2)c2(p2+3p)c2p3}2+o(|μ1,μ2|2).
    $
    (28)

    Then we are ready to express those bifurcation curves in parameters $\varepsilon_1$ and $\varepsilon_2$.

    For curves ${\mathcal SN}^\pm$, we need to consider $\mu_1=0$. From the first equality of (19) we see that $\mu_1=0$ if and only if $\varepsilon_1=0$ because in the expression of $\phi_1(\varepsilon_1, \varepsilon_2)$ we have $ {\phi_{11}(0, 0)}/{\phi_{12}^2(0, 0)}={1}/{p^2c^2(p+1)}\neq0. $ Thus, for $\mu_1=0$ we obtain from (28) that

    $ \varepsilon_2=-\frac{c^2}{(2p+2)\Psi(c)}\mu_2+O(|\mu_2|^2), \label{Psi(c)} $ (29)

    where $\Psi(c)$ is the same quadratic polynomial as given in (12). It follows that the inequality $\mu_2>0$ (or $<0$) together with the sign of $\Psi(c)$ determines the sign of $\varepsilon_2$. From the analysis of the quadratic equation (12) we see that $\Psi(c)<0$ (or $>0$) if $0<c<\varsigma(b)$ (or $c>\varsigma(b)$), where $\varsigma(b)$ is defined in Lemma 2.2. Hence from (22) we obtain that

    $ SN+:={(ε1,ε2) | ε1=0,ε2>0,0<c<ς(b)}{(ε1,ε2) | ε1=0,ε2<0,c>ς(b)},SN:={(ε1,ε2) | ε1=0,ε2<0,0<c<ς(b)}{(ε1,ε2) | ε1=0,ε2>0,c>ς(b)}.
    $

    For curve $\mathcal{H}$, we need to consider $\mu_{1}=-\mu_{2}^{2}$, which is equivalent to $\Upsilon(\varepsilon_1, \varepsilon_2):= \phi_{1}(\varepsilon_{1}, \varepsilon_{2})+\phi_{2}^{2}(\varepsilon_{1}, \varepsilon_{2})=0$ by (19). Clearly, $\Upsilon(0, 0)=0$ and

    $ \frac{\partial\Upsilon}{\partial \varepsilon_1}\Big|_{(\varepsilon_{1}, \varepsilon_{2})=(0, 0)} = \{ (2p+2)\Psi(c) \}^4 / \{p^6c^2(c-p)^4(p+1)\}\ne 0. $

    By the Implicit Function Theorem, there exists a unique $C^k$ function $\varepsilon_1=\epsilon_1(\varepsilon_2)$ such that $\epsilon_1(0)=0$ and $\Upsilon(\epsilon_1(\varepsilon_2), \varepsilon_2)=0$. Similarly to (27) and (28), expanding $\Upsilon$ at $(\varepsilon_1, \varepsilon_2)=(0, 0)$ and substituting with a formal expansion of $\epsilon_1(\varepsilon_2)$ of order 2, we obtain by comparison of coefficients that

    $ \varepsilon_1=\epsilon_1(\varepsilon_2) = -\frac{p^6(c-p)^4}{4(p+1)\Psi^2(c)}\varepsilon_2^2+o(|\varepsilon_2|^2). \label{Hp} $ (30)

    Further, replacing $\mu_1$ with $\mu_{1}=-\mu_{2}^{2}$ in (28), we get

    $ \varepsilon_2=-\frac{c^2}{(2p+2)\Psi(c)}\mu_2+o(|\mu_2|). $

    Similarly to (29), from (22) we obtain that

    $ H:={(ε1,ε2) | ε1=p6(cp)44(p+1)Ψ2(c)ε22+o(|ε2|2),  ε2>0,0<c<ς(b)}{(ε1,ε2) | ε1=p6(cp)44(p+1)Ψ2(c)ε22+o(|ε2|2),  ε2<0,c>ς(b)}.
    $

    For curve $\mathcal{L}$, we need to consider $\mu_{1}=-\frac{49}{25}\mu_{2}^{2} +o(|\mu_{2}|^{2})$, i.e., $\phi_{1}(\varepsilon_{1}, \varepsilon_{2}) =-\frac{49}{25}\phi_{2}^{2}(\varepsilon_{1}, \varepsilon_{2}) +o(|\phi_{2}|^{2})$. Similarly to $\mathcal{H}$, we apply the Implicit Function Theorem to obtain

    $ \varepsilon_{1}=-\frac{49p^6(c-p)^4}{100(p+1)\Psi^2(c)}\varepsilon_{2}^2+o(|\varepsilon_{2}|^{2}). $

    Similarly to (29), from (22) we obtain that

    $ L:={(ε1,ε2) | ε1=49p6(cp)4100(p+1)Ψ2(c)ε22+o(|ε2|2),  ε2>0,0<c<ς(b)}{(ε1,ε2) | ε1=49p6(cp)4100(p+1)Ψ2(c)ε22+o(|ε2|2),  ε2<0,c>ς(b)}.
    $

    Finally, with the replacement (13) we can rewrite the above bifurcation curves ${\mathcal SN}^\pm, {\mathcal H}$ and ${\mathcal L}$ expressed in parameters $(\varepsilon_{1}, \varepsilon_{2})$ in expressions in the original parameters $(a, b, c, \kappa)$ as shown in Theorem 3.1.


    4. Conclusions

    In this paper we analyzed the dynamics of system (4) near the equilibrium $E_*$ when parameters lie near ${\mathcal B}\backslash{\mathcal C}$. We proved that $E_*$ is a cusp when parameters lie on ${\mathcal B}\backslash{\mathcal C}$. We investigated the Bogdanov-Takens bifurcation near the cusp and compute in Theorem 3.1 the four bifurcation curves $\mathcal{SN}^{+}$, $\mathcal{SN}^{-}$, $\mathcal{H}$ and $\mathcal{L}$ in the practical parameters. Those bifurcation curves can be observed in Figure 3 in the case that $c>1$ and $b=(c+1)^2/4$ (which implies $p=(c-1)/2$). They display the merge of equilibria and the rise of homoclinic orbits and periodic orbits.

    Figure 3. Bifurcation diagrams of system (4) for the case that $c>1$ and $b=(c+1)^2/4$.

    More concretely, in this case,

    $ a_*=\frac{(c+1)^2}{4}, ~\kappa_*=\frac{8c^2}{(c+1)(c-1)^2}. $

    Moreover, the four bifurcation curves divide the neighborhood $U$ of $(a_*, \kappa_*)$ into the following regions:

    $ DI:={(a,κ)U| a<(c+1)24, κ8c2(c+1)(c1)2}{(a,κ)U| a<(c+1)2449(c1)6(c+1)33200(2c2+c+1)2{κ8c2(c+1)(c1)2}2+O(|κ8c2(c+1)(c1)2|3), κ>8c2(c+1)(c1)2},DII:={(a,κ)U| (c+1)2449(c1)6(c+1)33200(2c2+c+1)2{κ8c2(c+1)(c1)2}2+O(|κ8c2(c+1)(c1)2|3)<a<(c+1)24(c1)6(c+1)3128(2c2+c+1)2{κ8c2(c+1)(c1)2}2+O(|κ8c2(c+1)(c1)2|3), κ>8c2(c+1)(c1)2},DIII:={(a,κ)U| (c+1)24(c1)6(c+1)3128(2c2+c+1)2{κ8c2(c+1)(c1)2}2+O(|κ8c2(c+1)(c1)2|3)<a<(c+1)24, κ>8c2(c+1)(c1)2},DIV:={(a,κ)U| a>(c+1)24}.
    $

    Theorem 3.1 gives dynamical behaviors of system (4) near $E_*$ in the first quadrant in Table 4. The coordinates of equilibria $E_0:(x_0, 0)$, $E_1:(p_1, q_1)$ and $E_2:(p_2, q_2)$ are given by $x_0:=a/(b-1)$ and

    $ p_1:=-\frac{1}{2}\big\{(a-b-c+1)-\{(a-b-c+1)^2-4(a-c)\}^{1/2}\big\}, \\ p_2:=-\frac{1}{2}\big\{(a-b-c+1)+\{(a-b-c+1)^2-4(a-c)\}^{1/2}\big\} $

    as in [27]. $E_0$ exists in the first quadrant when $(a, \kappa)\in\mathcal{D}_{I}\cup\mathcal{L}\cup\mathcal{D}_{II}\cup\mathcal{H}\cup\mathcal{D}_{III}$ but disappears when $(a, \kappa)\in\mathcal{D}_{IV}$ (appearing in other quadrants) or $(a, \kappa)\in\mathcal{SN}^+\cup\{(a_*, \kappa_*)\}\cup\mathcal{SN}^-$ (not existing).

    Table 4. Dynamics of system (4) in various cases of parameter $(a, \kappa)$.
    Parameters $(a, \kappa)$ Equilibria Limit cycles and homoclinic orbits Region in bifurcation diagram
    $E_0$ $E_1$ $E_2$ $E_*$
    $ \mathcal{D}_{I}$ saddle unstable focus saddle $\mathcal{D}_{I}$
    $ \mathcal{L}$ saddle unstable focus saddle one homoclinic rrbit $\mathcal{L}$
    $\mathcal{D}_{II}$ saddle unstable focus saddle one limit cycle $\mathcal{D}_{II}$
    $\mathcal{H}$ saddle stable focus saddle $\mathcal{H}$
    $\mathcal{D}_{III}$ saddle stable focus saddle $\mathcal{D}_{III}$
    $ \mathcal{SN}^+$ saddle-node $\mathcal{SN}^+$
    $ \mathcal{D}_{IV}$ $\mathcal{D}_{IV}$
    $(a_*, \kappa_*)$ cusp $(a_*, \kappa_*)$
    $ \mathcal{SN}^-$ saddle-node $\mathcal{SN}^-$
     | Show Table
    DownLoad: CSV

    The appearance of limit cycle displays a rise of oscillatory phenomenon in system (4). Choosing parameters $a=3.99999, b=4, c=3$ and $\kappa=4.495$ in $\mathcal{D}_{II}$, we used the command ODE45 in the software Matlab Version R2014a to simulate the orbit initiated from $(x_0, y_0)=(1.00432, 1.98662845)$ numerically, which plots an attractive limit cycle in Figure 4 and shows a dynamic balance and permanence of the substrate and the product in the enzyme-catalyzed reaction. The homoclinic loop actually gives a boundary for the break of the dynamic balance and permanence.

    Figure 4. An attracting limit cycle.

    In this paper we only considered parameters in ${\mathcal B}\backslash {\mathcal C}$. When parameters lie in ${\mathcal C}$, higher degeneracy may happen at $E_*$. Although efforts have been made for higher degeneracies, for example, versal unfolding was discussed in [5] for a normal form of cusp system of codimension 3, it is still difficult to compute bifurcation curves in original parameters in the case of codimension 3. Such a computation with original parameters is indispensible for practical systems and for system (4) it will be our next work.


    Appendix. Some coefficients

    The functions in system (15) are

    $ E00:={(2p+2)c2(p2+3p)c2p3}4ε1/{c2(p+1)p6(cp)4},E10:={(2p+2)c2(p2+3p)c2p3}2ε1{(6c3p4c3p24p3c2+3p2c2+4cp4+4c4p+3c4)(p2c23c3p3c2p+cp2+2cp32p4)ε1(p3c22cp4+p5+4c2p45p5cp3c3+2p6)ε2}/{(p+1)p4c3(cp)4},E20:={(2c6(p+1)2(cp)2)+(9c3p2+4c2p413c4p+4p5c2+6p3c3+9c5p15p2c42p4c3+4p2c54p3c4+6c5)ε1(2p7c6p7c26p6c22p5c4+6p6c3+2cp82p4c4+6p5c3)ε2+(6p5c22p4c36p6c6p7c+6p6c22p5c3+2p7+2p8)ε1ε2+(6p3c34p2c42c2p410p3c29c4p2cp4+17c3p22p5c+13c3p9p2c26c4)ε21}/{2c3p2(cp)2(p+1)},E01:={(2p+2)c2(p2+3p)c2p3}{2c3ε1+(cp42p3c2+c3p2)ε2+(2p46cp3+4p2c2)ε1ε2+(12c26cp)ε21}/{p2(cp)2c3},E11:={(3c3p28p2c4p4c3+2c5+2c2p4+4c5p+2p2c55c4p+2p5c2+2p3c33p3c4)+(3c2p4+3c3p+p2c2+2p5c+3p2c4+3p3c2+2c4p+2cp44p3c3+c3p2)ε1+(5p6c22p7c3p6c+7p5c2+2c2p4p5c5p4c3p3c3+p3c4+p4c44p5c3)ε2(5p6c4p5c2+p4c35c2p4p3c2+7p5c+p3c3+2cp42p7p53p6)ε1ε2+(13cp28cp4+9c3p238p2c2+5cp3+10p4+10p5+19c3p+10c313p3c225c2p)ε21}/{c2(p+1)(p+c)},E02:={(c2p1)+(5c32c2p)ε1(3p3c22c3p2cp4)ε2+(p4cp3)ε1ε2(2cpc2)ε21}/{(p+1)2(cp)2}.
    $

    The functions below system (18) are

    $ ϕ11:=24c6p5+4c8p216c7p4+4c8p316c5p6+4p7c4+24c6p416c7p316c5p5+4c4p6+(9p4c416p6c3+40c3p7+68p5c426p3c5+3c86c8p+42c6p3+36c6p494c5p4+6c7p24c4p616c2p856c5p58c8p2+8c7p3+28c6p214c7p)ε1+(4c7p4+40c5p74c2p94c2p10+20c3p8+20c3p920c6p5+40c5p620c6p640c4p8+4c7p540p7c4)ε2(40p2c5+12p4c3+32c7p2+8p5c3+12c7+92p3c5+8p6c232p3c412p6c328p7c2+4c5p488c6p256p4c4+36c7p+48p5c460c6p3+16cp832c6p)ε21+(12cp924p7c48c7p46c7p388c5p532c2p8+20cp1024c5p4+6c6p3+2c3p724p6c3+36c6p5+72c4p6+96c3p876c2p9+36p5c4+40c6p444c5p6+6p7c2)ε1ε2+(8p7c9p2c416p5c2+6p3c3c2p4+11p4c4+6p3c5+10p4c316p5c318p2c5+12p3c49c6p2+4p6c4p8)ε31+(34c4p6+2c3p7+4p928cp916cp8+6p4c4+8p102p7c+32c2p8+32p7c232p6c314p5c3+10p6c26c6p4+26c5p5+12p5c4)ε21ε2+(4c3p7c6p6+44c3p941c2p10c4p6+4cp9+2c5p64p11+28c3p832c2p9+8c5p726c4p8+20p11c12p7c4p104p12+18cp106c2p8)ε1ε22,ϕ12:=(2p5c34p3c4+2p4c3+2p3c5+2p2c54p4c4)+(9c3p2+4c2p413c4p+4p5c2+6p3c3+9c5p15p2c42p4c3+4p2c54p3c4+6c5)ε1+(2p7c+6p7c2+6p6c2+2p5c46p6c32cp8+2p4c46p5c3)ε2+(6p3c34p2c42c2p410p3c29c4p2cp4+17c3p22p5c+13c3p9p2c26c4)ε21+(6p5c22p4c36p6c6p7c+6p6c22p5c3+2p7+2p8)ε1ε2,ϕ21:=(6c10+12c8p5+69c8p477c9p3+20c7p6+9c6p433c7p3+18c5p634c6p5+45c8p226c7p4+102c8p327c9p80c9p2+27c7p5+6c5p7+8c4p812c5p855c6p612c6p7+8c4p9+22c10p224c9p4+8c10p3+20c10p)ε1+(4p10c4+20p9c610p10c54p5c9+2p11c42c9p42p6c9+10p7c8+20p6c8+10c8p520p9c5+2c4p940p7c720c7p810c5p820c7p6+40c6p8+20c6p7)ε2+(12c9+12c3p947c8p4+10c9p386c6p419c7p3+102c5p6220c6p5+60c8p2+159c7p440c8p3+61c5p5+2c4p616p7c418c9p+3c9p2+92c7p5+12c3p8+26c5p714c4p8+53c8p+35c6p376c7p279c6p6)ε21+(2p5c934c8p5+2c3p9+19c8p410c9p3+151c7p617c5p6+39c6p545c7p4+26c8p32c3p10+3p7c46c9p2+23c7p5+77c5p726c4p8+145c5p885c6p6227c6p731c4p92c9p4103c6p8+83p7c7+51p9c52p10c44p11c327p6c8)ε1ε2+(4p7c82p6c830p10c460p11c4+40p9c52p8c8+12p11c3+24c7p8+12c7p960p9c6+12p13c330p10c6+40p11c530p12c44p13c22p14c22p12c2+24p12c330c6p8+80p10c5+12p7c7)ε22+(30c8+69p3c516p4c4212p5c4+58p6c3+331c5p4232c6p4+79c7p3+117c5p665c6p521c8p23c7p4+5c8p3+379c5p5187c4p6+4p7c494c3p8+44c2p8+44c2p9+91c7p53c8p263c6p3+163c7p2106c6p238c3p7)ε31+(36c2p1010c8p5199c3p941c8p4+9c7p6+18c2p11166c6p4+84c7p3+165c5p6297c6p518c8p2+193c7p448c8p3110c3p10+164c5p576c4p6+47p7c4+123c7p578c3p8+18c2p9208c5p7+351c4p8219c5p862c6p6+79c6p7+233c4p9+12c3p7)ε21ε2+(2p14c+c2p104c3p98c7p6+21c2p112p12c72c3p104p13c4c5p7+6c4p8102c5p8+c6p6+45c6p7+118c4p9+58p9c6114p10c5+121p11c4+102c6p822p7c7212p9c5+233p10c4138p11c3+40p12c270p12c3+20p13c214c7p8+p7c8+p6c8)ε1ε22(176p3c4+41p4c3+769p3c5+293p2c5388p4c4+27p5c3+28p6c2178p5c458p6c3+4p7c2+20cp8+20cp9+603c5p4192c6p4+75c7p3+127c5p5+34c4p6+72c7234c6p24c2p8+210c7p616c6p3+213c7p2658c6p244c3p7)ε41+(286p5c4+154p6c332p7c2+136c2p1056cp10198c3p924cp9+262c5p432cp11330c6p4+70c7p3+438c5p6284c6p5+68c7p4+636c5p5580c4p6210p7c4+22c7p5154c3p8+30c2p8+198c2p9+64c5p7+84c4p8122c6p3+24c7p276c6p6+198c3p7)ε31ε2+(4p12+102c2p10cp10158c3p9c7p6+198c2p1164p12c33cp11c5p6313c3p1032p13c+4p7c4+8p136c3p8+4c2p957c5p7+132c4p8126c5p8+10c6p6+26c6p7+272c4p9+4p14+16c6p8p7c770p9c5+144p10c4161p11c3+100p12c2)ε21ε22.
    $

    [1] Afifi TO, Cox BJ, Martens PJ, et al. (2010) The relationship between problem gambling and mental and physical health correlates among a nationally representative sample of Canadian women. Can J Public Health 2010: 171-175.
    [2] Messerlian C, Derevensky JL, Gupta, R (2005) Youth gambling: A public health perspective. J Gambl Issues 20: 69-79.
    [3] Newman SC, Thompson AH (2007) The association between pathological gambling and attempted suicide: findings from a national survey in Canada. Can J Psychiatry 52: 605-612.
    [4] National Council on Problem Gambling. Problem Gambling. Available from: http://www ncpgambling org/help-treatment/faq/ 2014
    [5] El-Guebaly N, Patten SB, Currie S, et al. (2006) Epidemiological associations between gambling behavior, substance use & mood and anxiety disorders. J Gambl Stud 22: 275-287. doi: 10.1007/s10899-006-9016-6
    [6] Desai RA, Maciejewski PK, Dausey DJ, et al. (2004) Health correlates of recreational gambling in older adults. Am J Psychiatry 161: 1672-1679. doi: 10.1176/appi.ajp.161.9.1672
    [7] Tse S, Hong SI, Wang CW, et al. (2012) Gambling behavior and problems among older adults: a systematic review of empirical studies. J Gerontol B Psychol Sci Soc Sci 67: 639-652. doi: 10.1093/geronb/gbs068
    [8] McNeilly DP, Burke WJ (2000) Late life gambling: The attitudes and behaviors of older adults. J Gambl Stud 16: 393-415. doi: 10.1023/A:1009432223369
    [9] Volberg RA, McNeilly D (2003) Gambling and problem gambling among seniors in Florida. Maitland, FL: Florida Council on Compulsive Gambling.
    [10] Wiebe JM, Cox BJ (2005) Problem and probable pathological gambling among older adults assessed by the SOGS-R. J Gambl Stud 21: 205-221. doi: 10.1007/s10899-005-3032-9
    [11] Morasco BJ, Pietrzak RH, Blanco C, et al. (2006) Health problems and medical utilization associated with gambling disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Psychosom Med 68: 976-984. doi: 10.1097/01.psy.0000238466.76172.cd
    [12] Raylu N, Oei TP (2004) Role of culture in gambling and problem gambling. Clin Psychol Rev 23: 1087-1114. doi: 10.1016/j.cpr.2003.09.005
    [13] Loo JM, Raylu N, Oei TP (2008) Gambling among the Chinese: A comprehensive review. ClinPsychol Rev 28:1152-1166.
    [14] Raylu N, Oei TP (2004) Role of culture in gambling and problem gambling. Clin Psychol Rev 23: 1087-1114. doi: 10.1016/j.cpr.2003.09.005
    [15] Tse S, Yu AC, Rossen F, et al. (2010) Examination of Chinese gambling problems through a socio-historical-cultural perspective. Scientific World Journal 10: 1694-704. doi: 10.1100/tsw.2010.167
    [16] Victorian Casino and Gaming Authority (2000) The impact of gaming on specific cultural groups. Available from: https://assets.justice.vic.gov.au/vcglr/resources/b1bc0f57-c5d5-46f1-9e22-70050c99c86f/impactofgamingonspecificculturalgroups.pdf
    [17] Sam Louie. Asian gambling addiction. 2014. Available from: http://www.psychologytoday.com/blog/minority-report/201407/asian-gambling-addiction
    [18] Papineau E (2005) Pathological gambling in Montreal's Chinese community: an anthropological perspective. J Gambl Stud 21: 157-178. doi: 10.1007/s10899-005-3030-y
    [19] Chen SX, Mak WW (2008) Seeking professional help: Etiology beliefs about mental illness across cultures. J Couns Psychol 55: 442-450. doi: 10.1037/a0012898
    [20] UCLA Center for Civil Society. Asian gambling. 2007. Availabe from: http://civilsociety.ucla.edu/practitioners/profiles-in-engagement/asian-gambling
    [21] Dong X, Chen R, Chang E-S, et al. (2014) The prevalence of suicide attempts among community-dwelling US Chinese older adults GÇôfindings from the PINE study. Ethn Inequal Health Soc Care 7: 23-35. doi: 10.1108/EIHSC-10-2013-0030
    [22] Dong X, Chen R, Li C, et al. (2014) Understanding Depressive Symptoms Among Community-Dwelling Chinese Older Adults in the Greater Chicago Area. J Aging Health 26: 1155-1171. doi: 10.1177/0898264314527611
    [23] Dong X, Chen R, Fulmer T, et al. (2014) Prevalence and correlates of elder mistreatment in a community-dwelling population of U.S. Chinese older adults. J Aging Health 26: 1209-1224.
    [24] Dong X, Chen R, Wong E, et al. (2014) Suicidal ideation in an older US Chinese population. J Aging Health 267: 1189-1208.
    [25] Dong X (2014) The Population Study of Chinese Elderly in Chicago. J Aging Health 26: 1079-1084. doi: 10.1177/0898264314550581
    [26] Dong X, Chang E, Wong E, et al. (2010) Assessing the health needs of Chinese older adults: Findings from a community-based participatory research study in Chicago's Chinatown. J Aging Res 2010: 124246.
    [27] Dong X, Chang E-S, Wong E, et al. (2011) Working with culture: lessons learned from a community-engaged project in a Chinese aging population. Aging Health 7: 529-537. doi: 10.2217/ahe.11.43
    [28] Dong X, Wong E, Simon MA (2014) Study design and implementation of the PINE study. J Aging Health 26: 1085-1099. doi: 10.1177/0898264314526620
    [29] Ferris J, Wynne H (2001) The Canadian problem gambling index. Ottawa, ON: Canadian Centre on Substance Abuse.
    [30] Loo JM, Oei TP, Raylu N (2011) Psychometric evaluation of the problem gambling severity index-chinese version (PGSI-C). J Gambl Stud 27: 453-466. doi: 10.1007/s10899-010-9221-1
    [31] Philippe F, Vallerand RJ (2007) Prevalence rates of gambling problems in Montreal, Canada: A look at old adults and the role of passion. J Gambl Stud 23: 275-283. doi: 10.1007/s10899-006-9038-0
    [32] Moore TL (2001) Older adults gambling in Oregon. Available from: http://problemgamblingprevention.org/older-adults/prevalence-older-adults.pdf
    [33] Lai DW (2006) Gambling and the older Chinese in Canada. J Gambl Stud 22: 121-141. doi: 10.1007/s10899-005-9006-0
    [34] Grant Stitt B, Giacopassi D, Nichols M (2003) Gambling among older adults: A comparative analysis. Exp Aging Res 29: 189-203. doi: 10.1080/03610730303713
    [35] Momper SL, Nandi V, Ompad DC, et al. (2009) The prevalence and types of gambling among undocumented Mexican immigrants in New York City. J Gambl Stud 25: 49-65. doi: 10.1007/s10899-008-9105-9
    [36] Wiebe J, Single E, Falkowski-Ham A, Mun P, et al. (2004) Gambling and problem gambling among older adults in Ontario. Responsible Gambling Council. Available from: http://www.responsiblegambling.org/rg-news-research/rgc-centre/research-and-analysis/docs/research-reports/gambling-and-problem-gambling-among-older-adults-in-ontario
    [37] Fong TW (2005) The vulnerable faces of pathological gambling. Psychiatry (Edgmont) 2: 34-42.
    [38] Fong DKC, Ozorio B (2005) Gambling participation and prevalence estimates of pathological gamblingin far-east gambling city: Macao. UNLV Gaming Res Rev J 9: 15-28
  • This article has been cited by:

    1. Juan Su, Zhaoxia Wang, Global Dynamics of an Enzyme-Catalyzed Reaction System, 2020, 43, 0126-6705, 1919, 10.1007/s40840-019-00780-2
    2. Juan Su, Bifurcation Analysis of an Enzyme Reaction System with General Power of Autocatalysis, 2019, 29, 0218-1274, 1950079, 10.1142/S0218127419500792
    3. Juan Su, Bing Xu, Local bifurcations of an enzyme-catalyzed reaction system with cubic rate law, 2018, 94, 0924-090X, 521, 10.1007/s11071-018-4375-y
  • Reader Comments
  • © 2015 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(6851) PDF downloads(979) Cited by(9)

Article outline

Figures and Tables

Tables(4)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog