Loading [MathJax]/jax/output/SVG/jax.js
Research article Special Issues

Symmetry, Hopf bifurcation, and offset boosting in a novel chameleon system

  • Chameleon systems are dynamical systems that exhibit either self-excited or hidden oscillations depending on the parameter values. This paper presents a comprehensive investigation of a quadratic chameleon system, including an analysis of its symmetry, dissipation, local stability, Hopf bifurcation, and various chaotic dynamics as the control parameters (μ,a,c) vary. Here, μ serves as the dissipation parameter in the y direction. Bifurcation analysis for four scenarios with μ=0 was performed, revealing the emergence of various dynamical phenomena under different parameter settings. Offset boosting means introducing a constant into one of the state variables of the system for boosting the variable to a different level. Additionally, hidden chaotic bistability with offset boosting was exhibited by varying μ. The parameter μ serves as both the Hopf bifurcation parameter and the offset boosting parameter, while the other parameters (a,c) also play critical roles as control parameters, resulting in period-doubling routes to self-excited or hidden chaotic attractors. These findings enrich our understanding of nonlinear dynamics in quadratic chameleon systems.

    Citation: Jie Liu, Bo Sang, Lihua Fan, Chun Wang, Xueqing Liu, Ning Wang, Irfan Ahmad. Symmetry, Hopf bifurcation, and offset boosting in a novel chameleon system[J]. AIMS Mathematics, 2025, 10(3): 4915-4937. doi: 10.3934/math.2025225

    Related Papers:

    [1] Muhammmad Ghaffar Khan, Wali Khan Mashwani, Jong-Suk Ro, Bakhtiar Ahmad . Problems concerning sharp coefficient functionals of bounded turning functions. AIMS Mathematics, 2023, 8(11): 27396-27413. doi: 10.3934/math.20231402
    [2] Kholood M. Alsager, Sheza M. El-Deeb, Ala Amourah, Jongsuk Ro . Some results for the family of holomorphic functions associated with the Babalola operator and combination binomial series. AIMS Mathematics, 2024, 9(10): 29370-29385. doi: 10.3934/math.20241423
    [3] Mohammad Faisal Khan, Jongsuk Ro, Muhammad Ghaffar Khan . Sharp estimate for starlikeness related to a tangent domain. AIMS Mathematics, 2024, 9(8): 20721-20741. doi: 10.3934/math.20241007
    [4] Feng Qi, Kottakkaran Sooppy Nisar, Gauhar Rahman . Convexity and inequalities related to extended beta and confluent hypergeometric functions. AIMS Mathematics, 2019, 4(5): 1499-1507. doi: 10.3934/math.2019.5.1499
    [5] Zhen Peng, Muhammad Arif, Muhammad Abbas, Nak Eun Cho, Reem K. Alhefthi . Sharp coefficient problems of functions with bounded turning subordinated to the domain of cosine hyperbolic function. AIMS Mathematics, 2024, 9(6): 15761-15781. doi: 10.3934/math.2024761
    [6] Muhammad Ghaffar Khan, Nak Eun Cho, Timilehin Gideon Shaba, Bakhtiar Ahmad, Wali Khan Mashwani . Coefficient functionals for a class of bounded turning functions related to modified sigmoid function. AIMS Mathematics, 2022, 7(2): 3133-3149. doi: 10.3934/math.2022173
    [7] Muajebah Hidan, Abbas Kareem Wanas, Faiz Chaseb Khudher, Gangadharan Murugusundaramoorthy, Mohamed Abdalla . Coefficient bounds for certain families of bi-Bazilevič and bi-Ozaki-close-to-convex functions. AIMS Mathematics, 2024, 9(4): 8134-8147. doi: 10.3934/math.2024395
    [8] Muhammmad Ghaffar Khan, Wali Khan Mashwani, Lei Shi, Serkan Araci, Bakhtiar Ahmad, Bilal Khan . Hankel inequalities for bounded turning functions in the domain of cosine Hyperbolic function. AIMS Mathematics, 2023, 8(9): 21993-22008. doi: 10.3934/math.20231121
    [9] S. Santhiya, K. Thilagavathi . Geometric properties of holomorphic functions involving generalized distribution with bell number. AIMS Mathematics, 2023, 8(4): 8018-8026. doi: 10.3934/math.2023405
    [10] Serap Özcan, Saad Ihsan Butt, Sanja Tipurić-Spužević, Bandar Bin Mohsin . Construction of new fractional inequalities via generalized n-fractional polynomial s-type convexity. AIMS Mathematics, 2024, 9(9): 23924-23944. doi: 10.3934/math.20241163
  • Chameleon systems are dynamical systems that exhibit either self-excited or hidden oscillations depending on the parameter values. This paper presents a comprehensive investigation of a quadratic chameleon system, including an analysis of its symmetry, dissipation, local stability, Hopf bifurcation, and various chaotic dynamics as the control parameters (μ,a,c) vary. Here, μ serves as the dissipation parameter in the y direction. Bifurcation analysis for four scenarios with μ=0 was performed, revealing the emergence of various dynamical phenomena under different parameter settings. Offset boosting means introducing a constant into one of the state variables of the system for boosting the variable to a different level. Additionally, hidden chaotic bistability with offset boosting was exhibited by varying μ. The parameter μ serves as both the Hopf bifurcation parameter and the offset boosting parameter, while the other parameters (a,c) also play critical roles as control parameters, resulting in period-doubling routes to self-excited or hidden chaotic attractors. These findings enrich our understanding of nonlinear dynamics in quadratic chameleon systems.



    First, some fundamental ideas must be explained in order to fully comprehend the basic concepts utilized throughout the attainment of our major findings. For this, let A denote the family of all holomorphic (regular) functions f defined in the open unit disc D={z:zC and |z|<1}, whose Taylor series representation is given as follows:

    f(z)=z+j=2ξjzj,         zD. (1.1)

    A subfamily containing all of the univalent functions of the family A in D is denoted by S. A useful technique for examining different inclusion and radii concerns for families of holomorphic functions is known as subordination. A function f is subordinate to g in D written as fg, if there exists a Schwarz function ω, which is regular in D and ω(0)=0 with |ω(z)|<1, such that f(z)=g(ω(z)). In addition, if the function g is univalent in D then we have

    f(0)=g(0) and f(D)g(D).

    The known subclasses of S are represented by the letters S, C, K and R. These subclasses include starlike, convex, close to convex, and functions with bounded turnings. Two regular functions, f and ς, are convolved in D, the series representation of f is provided in (1.1) and ς=z+j=2bjzj is defined as follows:

    (fς)(z)=z+j=2ξjbjzj,             zD . (1.2)

    The integrated families of starlike and convex functions were developed in 1985 by Padmanabhan and Parvatham [1] who utilized the theory of convolution along with the function z(1z)a, where aR. By taking a regular function ϕ(z) with ϕ(0)=1, and h(z)A,, Shanmugam [2] expanded on the concept presented in [1] and introduced the generic form of the function class Sh(ϕ) as follows:

    Sh(ϕ)={fA:z(fh)(fh)ϕ(z),    zD}. (1.3)

    By taking h(z)=z1z or z(1z)2, we derive the famous classes S(ϕ) and C(ϕ) of Ma and Minda type starlike and convex functions defined in [3]. Further, by choosing ϕ(z)=1+z1z these classes can be reduced to S and C.

    By limiting ϕ(z) in the generic form of S(ϕ) and C(ϕ), numerous scholars have defined and investigated a variety of intriguing subclasses of analytic and univalent functions in the recent past. Here, we highlight few of them.

    Let ϕ(z)=1+Fz1+Gz, 1G<F1. Then S[F,G]=S(1+Fz1+Gz) is the class of Janowski starlike functions; see [4]. For ϕ(z)=cosz, the class Scosz was studied by Bano and Raza [5], while for ϕ(z)=coshz, the function class Scoshz was introduced and studied by Alotaibi et al. [6]. For ϕ(z)=ez, the class Se was defined and studied by Mendiratta et al. [7]. For ϕ(z)=1+sinz, the class S(ϕ) reduces to Ssin, as presented and examined by Cho et al. [8]. For ϕ(z)=1+z13z3, we get the family Snep that was examined by Wani and Swaminathan [9]. For ϕ(z)=1+sinh1(z), the family S(ϕ) was established and studied by Kumar and Arora [10] for more details see [11]. For ϕ(z)=21+ez, the class S(ϕ) reduces to Ssig; see [12] and [13,14]. For ϕ(z)=1+z, we obtain the family S(1+z)=SL as studied by Sokol and Stankiewicz [15]. The class Stanhz=S(ϕ(z)), for ϕ(z)=1+tanhz, was established by Ullah et al. [16] see also [17].

    For the given parameters n, rN, the rth Hankel determinant Hr, n was defined in [18] as follows:

    Hr, n(f)=|ξn ξn+1...ξn+r1ξn+1.......................ξn+r1....ξn+2(r1)|.

    For the given values of n, r and ξ1=1 the second and third Hankel determinants are defined as follows:

    H2,1(f)=|1ξ2ξ2ξ3|=ξ3ξ22,H2,2(f)=|ξ2ξ3ξ3ξ4|=ξ2ξ4ξ23. (1.4)

    This technique has proven to be usful when examining power series with integral coefficients and singularities by taking the Hankel determinant into account; see [19]. Bounds of Hr, n(f) for several kinds of univalent functions have been examined recently. For a detailed study on the Hankel determinant, we refer the reader to [20,21,22].

    Scholars in the field of geometric function theory of complex analysis are still motivated by the study of coefficient problems, which include the Fekete–Szegö and Hankel determinant problems. To encourage and motivate interested readers, we have included numerous recent works (see, e.g., [20,21,22]) on a variety of the Fekete–Szegö and Hankel determinant problems, along with ongoing applications of the q-calculus in the study of other analytic or meromorphic univalent and multivalent function classes. Motivated and inspired by the work mentioned above, in this article, we first define a new subclass of holomorphic convex functions that are related to the tangent functions. We then derive geometric properties like the necessary and sufficient conditions, radius of convexity, growth, and distortion estimates for our defined function class. Furthermore, the sharp coefficient bounds, sharp Fekete-Szegö inequality, sharp 2nd order Hankel determinant, and Krushkal inequalities are given. Moreover, we calculate the sharp coefficient bounds, sharp Fekete-Szegö inequality, and sharp second-order Hankel determinant for the functions whose coefficients are logarithmic.

    We present the following subfamily of holomorphic functions.

    Definition 1.1. Let fA, be given in (1.1). Then fCtan if the following condition holds true:

    fCtanfA and (zf(z))f(z)1+tanz2,     zD. (1.5)

    Geometrically, the family Ctan comprises all of the functions f that lie within the image domain of 1+tanz2, for a specified radius.

    We utilize the following lemmas in our major conclusion.

    Let P stand for the family of all holomorphic functions p that have a positive real portion and are represented by the following series:

    p(κ)=1+j=1cjzj, κΩ. (2.1)

    Lemma 2.1. If pP, then the following estimations hold:

    |cj|2,j1, (2.2)
    |cj+nμcjcn|<2, 0<μ1, (2.3)

    and for ηC, we have

    |c2ηc21|<2max{1,|2η1|}. (2.4)

    Regarding the inequalities (2.2)–(2.4) are detailed in [23].

    Lemma 2.2. [24] If pP and it has the form (2.1), then

    |α1c31α2c1c2+α3c3|2|α1|+2|α22α1|+2|α1α2+α3|, (2.5)

    where α1,α2 and α3 are real numbers.

    Lemma 2.3. [25] Let χ1,σ1,ψ1 and ϱ1 satisfy the inequalities for χ1,ϱ1(0,1) and

    8ϱ1(1ϱ1)[(χ1σ12ψ1)2+(χ1(ϱ1+χ1)σ1)2]+χ1(1χ1)(σ12ϱ1χ1)24χ21(1χ1)2ϱ1(1ϱ1).

    If hP and is of the form (2.1), then

    |ψ1c41+ϱ1c22+2χ1c1c332σ1c21c2c4|2.

    Lemma 2.4. Let pP and x and z belong to Λ, then, we have

    2c2=c21+x(4c21),4c3=2x(4c21)c1x2(4c21)c1+2z(1|x|2)(4c21)+c31,

    where c2 and c3 are discussed in [26] and [27] respectively.

    The goal of the current study was to derive the necessary and sufficient conditions, radius of convexity, growth and distortion estimates, sharp coefficient bounds, sharp Fekete-Szegö inequality, Krushkal inequality, and logarithmic coefficient estimates for the subclass Ctan of class A which is related to tangent functions.

    Theorem 3.1. Let fCtan be as given in (1.1). Then

    1z[f(z)(zMz2(1z)3)]0, (3.1)

    where

    M=4+tanh(eiθ)2. (3.2)

    Proof. Because fCtan is analytic in D, 1zf(z)0 for all z in D then, by using the definition of subordination and (1.5), we have

    (zf(z))f(z)=1+tanhω(z), (3.3)

    where ω(z) is the Schwarz function. Let ω(z)=eiθ, πθπ. Then (3.3) becomes

    zf(z)f(z)tan(eiθ)2,

    which implies that

    z2f(z)zf(z)tan(eiθ)20. (3.4)

    It can be easily seen that

    z2f(z)+zf(z)=f(z)z(1+z)(1z)3 and zf(z)=f(z)z(1z)2. (3.5)

    Using (3.5), and through some simple calculations (3.4) becomes

    f(z)(zMz2(1z)3)0. (3.6)

    From (3.6), we will obtain (3.1), where M is given in (3.2).

    Theorem 3.2. Let fA. Then fCtan if

    n=2[2n(2+tan(eiθ))4n2tan(eiθ)]ξnzn110. (3.7)

    Proof. If fCtan then from Theorem 3.1, we have

    1z[f(z)(zMz2(1z)3)]0,

    where M is given in (3.2). The above relation implies that

    1z[(f(z)z(1z)3)(f(z)Mz2(1z)3)]0.

    Since z2=z(1+z)z, so we have

    1z[(f(z)z(1z)3)M(f(z)z(1+z)(1z)3f(z)z(1z)3)]0. (3.8)

    Now applying (3.5) and some properties of convolution, (3.8), reduces to

    1z[(12z2f(z)+zf(z))M(z2f(z))]0.

    Using (1.1) and after some simplification, we obtain (3.7).

    Theorem 3.3. Let fA be as given in (1.1). Then fCtan if

    n=2(|4n22n(2+tan(eiθ))tan(eiθ)|)|ξn|<1. (3.9)

    Proof. To demonstrate the necessary outcome, we employ relation (3.7) as follows:

    |1n=24n22n(2+tan(eiθ))tan(eiθ)ξnzn1|>1n=2|4n22n(2+tan(eiθ))tan(eiθ)||ξn||z|n1. (3.10)

    From (3.9), we have

    1n=2|4n22n(2+tan(eiθ))tan(eiθ)||ξn|>0. (3.11)

    From (3.10) and (3.11), we obtain the intended outcome by applying Theorem 3.2.

    Theorem 3.4. Let fCtan. Then f is convex and of order α, 0α<1 and |z|<r1, where

    r1=infn2(|4+n(n3)tan(eiθ)||2tan(eiθ)|(1α)n(nα))1n1. (3.12)

    Proof. It is sufficient to show that

    |(zf(z))f(z)1|1α. (3.13)

    From (1.1), we have

    |zf(z)f(z)|n=2n(n1)ξn|z|n11n=2nξn|z|n1. (3.14)

    (3.14) is bounded above by 1α, if

    n=2[n(n1)+n(1α)1α]|ξn||z|n11. (3.15)

    But by Theorem 3.1, the above inequality is true if

    n=2|4n22n(2+tan(eiθ))tan(eiθ)||ξn|<1. (3.16)

    Then the inequality (3.15), becomes

    [n(nα)1α]|z|n1|4n22n(2+tan(eiθ))tan(eiθ)|.

    Simple math yields

    r1=infn2(|(1α)(4n2(2+tan(eiθ)))(nα)tan(eiθ)|)1n1.

    The desired outcome is demonstrated.

    Theorem 4.1. Let fCtan and |z|=r. Then

    r|tan(eiθ)84tan(eiθ)|r2|f(z)|r+|tan(eiθ)84tan(eiθ)|r2. (4.1)

    Proof. Consider that

    |f(z)|=|z+n=2ξnzn|r+n=2|ξn|rn.

    Since rnr2 for n2 and r<1, we have

    |f(z)|r+r2n=2|ξn|. (4.2)

    Similarly

    |f(z)|rr2n=2|ξn|. (4.3)

    Now, applying (3.9) implies that

    n=2|4n22n(2+tan(eiθ))tan(eiθ)||ξn|<1.

    Since

    |164(2+tan(eiθ))tan(eiθ)|n=2|ξn|n=2|4n22n(2+tan(eiθ))tan(eiθ)||ξn|,

    we get

    |84tan(eiθ)tan(eiθ)|n=2|ξn|<1,

    One can easily write this as follows:

    n=2|ξn|<|tan(eiθ)164(2+tan(eiθ))|,

    Placing this value in (4.2) and (4.3) the necessary inequality is obtained.

    Theorem 4.2. Let fCtan and |z|=r. Then,

    12|tan(eiθ)84tan(eiθ)|r|f(z)|1+2|tan(eiθ)84tan(eiθ)|r.

    Proof. Consider that

    |f(z)|=|1+n=2nξnzn|1+n=2|ξn|rn1.

    Since rn1r for n2 and r<1, we have

    |f(z)|1+2rn=2|ξn|. (4.4)

    Similarly

    |f(z)|12rn=2|ξn|. (4.5)

    Now, applying (3.9) implies that

    n=2|4n22n(2+tan(eiθ))tan(eiθ)||ξn|<1.

    Since

    |164(2+tan(eiθ))tan(eiθ)|n=2|ξn|n=2|4n22n(2+tan(eiθ))tan(eiθ)||ξn|,

    we get

    |84tan(eiθ)tan(eiθ)|n=2|ξn|<1,

    one can easily write this as follows:

    n=2|ξn|<|tan(eiθ)84tan(eiθ)|.

    Setting this value in (4.4) and (4.5), we accomplish what is needed.

    Theorem 4.3. For f(z)Ctan, the coefficient bounds are given by

    |ξ2|14, (4.6)
    |ξ3|112, (4.7)
    |ξ4|124, (4.8)
    |ξ5|124. (4.9)

    and

    |ξ3ηξ22|112max{1,|3η24|}. (4.10)

    The above outcomes (4.6)–(4.9) are sharp for the functions given below:

    f1(z)=z0expz0tanx2xdx=z+14z2+124z3+, (4.11)
    f2(z)=z0expz0tanx22xdx=z+z312+z5160+, (4.12)
    f3(z)=z0expz0tanx32xdx=z+z424+z7504+, (4.13)
    f4(z)=z0expz0tanx42xdx=z+z540+z91152+. (4.14)

    And the bound (4.10) is extreme for the function defined in (4.12).

    Proof. Because f(z)Ctan, we have the definition

    (zf(z))f(z)2+tan(z)2,

    which can be written as

    (zf(z))f(z)=2+tan(ω(z))2,

    where ω(z) is the holomorphic function with the following properties:

    ω(0)=0 and |ω(z)|<1.

    Now let

    (zf(z))f(z)=1+2ξ2z+(6ξ34ξ22)z2+(12ξ418ξ2ξ3+8ξ32)z3+, (4.15)

    and

    1+tan(ω(z))2=1+14c1z+(14c218c21)z2+(112c3114c2c1+14c3)z3+(116c41+14c21c214c3c118c22+14c4)z4+. (4.16)

    Comparing (4.15) and (4.16), we have

    ξ2=18c1, (4.17)
    ξ3=124c2196c21, (4.18)
    ξ4=174608c315384c2c1+148c3. (4.19)
    ξ5=180(1571152c412948c21c2+23c3c1+38c22c4). (4.20)

    Then by applying (2.2) to (4.17), we have

    |ξ2|14.

    And applying (2.3) with n=k=1 to (4.18), we get

    |ξ3|112.

    For (4.19), applying Lemma 2.2 yields

    |ξ4|124.

    And for (4.20), we have

    |ξ5|=|180||1571152c412948c21c2+23c3c1+38c22c4|140 (by Lemma 2.3).

    Now from (4.17) and (4.18), we have

    |ξ3ηξ22|=124|c23η24c21|.

    And applying (2.4) to the above relation, we achieve our goals.

    The following outcome occurs if we set η=1 in the above result.

    Remark 4.4. If we set η=1 in (4.10), we get the following result

    |ξ3ξ22|112.

    The outcome is precise for the function defined in (4.12), and it cannot be further enhanced.

    Theorem 4.5. Let f(z)Ctan. Then

    |ξ2ξ3ξ4|124.

    The outcome is sharp for the function defined in (4.13).

    Proof. From (4.17)–(4.19), we have

    |ξ2ξ3ξ4|=|234608c31+7384c2c1148c3|.

    Applying Lemma 2.2, we achieve the intended outcomes.

    Theorem 4.6. Let f(z)Ctan. Then

    |ξ2ξ4ξ23|1144.

    The outcome is sharp for the function defined in (4.12).

    Proof. From (4.17)–(4.19), we have

    |ξ2ξ4ξ23|=|1336864c4179216c21c2+1384c3c11576c22|.

    Now using Lemma 2.4, with c1=c and |x|=y, we have

    |ξ2ξ4ξ23|736864c4+11536c2(4c2)y2+118432c2(4c2)y+1768c(1y2)(4c2)+12304(4c2)2y2=G(y,c) (say).

    Further,

    G(y,c) y=118432(4c2)((64+8c248c)y+c2)>0.

    Clearly G(y,c) y>0 in y[0,1] so the maximum is attained at y=1, i.e.,

    G(1,c)=736864c4+11536c2(4c2)+118432c2(4c2)+12304(4c2)2=H(c).

    Further,

    H(c)=13072c(c2+4),

    since H(c)=0 has three roots namely c=0, 2i and 2i. The only root lying in the interval [0,2] is 0. Also, one may check easily that H(c)0 for c=0; thus, the maximum is attained at c=0, that is

    |ξ2ξ4ξ23|1144.

    Here, we will provide direct evidence of the inequality

    |ξpnξp(n1)2|2p(n1)np,

    over the class Ctan for the choice of n=4, p=1, and for n=5, p=1. For a class of univalent functions as a whole, Krushkal introduced and demonstrated this inequality in [28]. For some recent investigations into the Krushkal inequality, we refer the readers to [14,29].

    Theorem 5.1. For f(z)Ctan, we have

    |ξ4ξ32|124.

    The outcome is sharp for the function defined in (4.13).

    Proof. From (4.17) and (4.19), we have

    |ξ4ξ32|=|1576c315384c2c1+148c3|.

    By applying Lemma 2.2, we get

    |ξ4ξ32|124.

    Theorem 5.2. For f(z)Ctan, we have

    |ξ5ξ42|140.

    The outcome is sharp for the function defined in (4.14).

    Proof. From (4.17) and (4.20), we have

    |ξ5ξ42|=|180||3592304c412948c21c2+23c3c1+38c22c4|140 (by Lemma 2.3).

    The logarithmic coefficients of fS denoted by κn=κn(f), are defined by the following series expansion:

    logf(z)z=2n=1κnzn.

    For the function f given by (1.1), the logarithmic coefficients are as follows:

    κ1=12ξ2, (6.1)
    κ2=12(ξ312ξ22), (6.2)
    κ3=12(ξ4ξ2ξ3+13ξ32), (6.3)
    κ4=12(ξ5ξ2ξ4ξ22ξ312ξ2314ξ42). (6.4)

    Theorem 6.1. If f has the form (1.1) and belongs to Ctan, then

    |κ1|18,|κ2|124,|κ3|148,|κ4|180.

    The bounds of Theorem 6.1 are precise and cannot be improved further.

    Proof. Now from (6.1) to (6.4) and (4.17) to (4.20), we get

    κ1=116c1, (6.5)
    κ2=148c27768c21, (6.6)
    κ3=134608c317768c2c1+196c3, (6.7)
    κ4=15611474560c41+41392160c21c271280c3c11360c22+1160c4, (6.8)

    Applying (2.2) to (6.5), we get

    |κ1|18.

    From (6.6), using (2.3), we get

    |κ2|124.

    Applying Lemma 2.2 to (6.7), we get

    |κ3|148.

    Also, applying Lemma 2.3 to (6.8), we get

    |κ4|180.

    Proof for sharpness: Since

    logf1(z)z=2n=2κ(f1)zn=14z+,logf2(z)z=2n=2κ(f2)zn=112z2+,logf3(z)z=2n=2κ(f2)zn=124z3+,logf4(z)z=2n=2κ(f2)zn=140z4+,

    it follows that these inequalities can be obtained for the functions denoted byfn(z) for n=1,2,3 and 4 as defined in (4.11) to (4.14).

    Theorem 6.2. Let fCtan. Then for a complex number λ, we have

    |κ2λκ21|124max{1,|3λ1|8}.

    The result is the best possible.

    Proof. From (6.5) and (6.6), we have

    |κ2λκ21|=148|c27+3λ16c21|.

    Applying (2.4) to the preceding equation yields the desired outcome.

    Theorem 6.3. Let fCtan. Then

    |κ1κ2κ3|148.

    The outcome is extremal.

    Proof. From (6.5)–(6.7), we have

    |κ1κ2κ3|=|12536864c31196c2c1+196c3|.

    Applying Lemma 2.2, we achieve the intended outcomes.

    Theorem 6.4. Let fCtan. Then

    |κ1κ3κ22|1576.

    The outcome is sharp.

    Proof. From (6.5)–(6.7), we have

    |κ1κ3κ22|=|55589824c41736864c21c2+11536c3c112304c22|.

    Now using Lemma 2.4, with c1=c, |z|=1 and |x|=y, we have

    |κ1κ3κ22|31589824c4+16144c2(4c2)y2+173728c2(4c2)y+13072c(1y2)(4c2)+19216(4c2)2y2=G(y,c) (say).

    Further,

    G(y,c) y=173728(4c2)(64y+8c2y48cy+c2).

    Clearly, G(y,c) y>0 in y[0,1] so the maximum is attained at y=1, i.e.,

    G(1,c)=31589824c4+16144c2(4c2)+173728c2(4c2)+19216(4c2)2=H(c).

    Further,

    H(c)=149152c(3c2+16),

    since H(c)=0 has only one solution c=0, that lies in the interval [0,2]. Also, one may check easily that H(c)0 for c=0; thus, the maximum can be attained at c=0, that is

    H(0)1576.

    In this study, we were motivated by the recent research and the sharp bounds of Hankel inequalities, and have have defined a new subclass of holomorphic convex functions that are related to the tangent functions. We then derived geometric properties like the necessary and sufficient conditions, radius of convexity, growth, and distortion estimates for our defined function class. Furthermore, the sharp coefficient bounds, sharp Fekete-Szegö inequality, sharp 2nd order Hankel determinant, and Krushkal inequalities have been given. Moreover, we have calculated the sharp coefficient bounds, sharp Fekete-Szegö inequality, and sharp second-order Hankel determinant for the functions whose coefficients are logarithmic. Hopefully, this work will open new directions for those working in geometric function theory and related areas. One can extend the work here by replacing the ordinal derivative with a certain q-derivative operator.

    The authors declare that they have not used artificial intelligence tools in the creation of this article.

    All authors declare no conflicts of interest.



    [1] R. A. Meyers, Encyclopedia of physical science and technology, San Diego: Academic Press, 1992.
    [2] C. Li, W. Hu, J. C. Sprott, X. Wang, Multistability in symmetric chaotic systems, Eur. Phys. J. Spec. Top., 224 (2015), 1493–1506. https://doi.org/10.1140/epjst/e2015-02475-x doi: 10.1140/epjst/e2015-02475-x
    [3] T. A. Alexeeva, N. V. Kuznetsov, T. N. Mokaev, Study of irregular dynamics in an economic model: attractor localization and Lyapunov exponents, Chaos Soliton. Fract., 152 (2021), 111365. https://doi.org/10.1016/j.chaos.2021.111365 doi: 10.1016/j.chaos.2021.111365
    [4] S. Vaidyanathan, A. S. T. Kammogne, E. Tlelo-Cuautle, C. N. Talonang, B. Abd-El-Atty, A. A. Abd El-Latif, et al., A novel 3-D jerk system, its bifurcation analysis, electronic circuit design and a cryptographic application, Electronics, 12 (2023), 2818. https://doi.org/10.3390/electronics12132818 doi: 10.3390/electronics12132818
    [5] C. Nwachioma, J. H. P'erez-Cruz, Analysis of a new chaotic system, electronic realization and use in navigation of differential drive mobile robot, Chaos Soliton. Fract., 144 (2021), 110684. https://doi.org/10.1016/j.chaos.2021.110684 doi: 10.1016/j.chaos.2021.110684
    [6] N. V. Kuznetsov, G. A. Leonov, V. I. Vagaitsev, Analytical-numerical method for attractor localization of generalized Chua's system, IFAC Proc. Vol., 43 (2010), 29–33. https://doi.org/10.3182/20100826-3-TR-4016.00009 doi: 10.3182/20100826-3-TR-4016.00009
    [7] G. A. Leonov, N. V. Kuznetsov, V. I. Vagaitsev, Localization of hidden Chua's attractors, Phys. Lett. A, 375 (2011), 2230–2233. https://doi.org/10.1016/j.physleta.2011.04.037 doi: 10.1016/j.physleta.2011.04.037
    [8] G. A. Leonov, N. V. Kuznetsov, Hidden attractors in dynamical systems. From hidden oscillations in Hilbert-Kolmogorov, Aizerman, and Kalman problems to hidden chaotic attractor in Chua circuits, Int. J. Bifurcat. Chaos, 23 (2013), 1330002. https://dx.doi.org/10.1142/S0218127413300024 doi: 10.1142/S0218127413300024
    [9] N. V. Stankevich, N. V. Kuznetsov, G. A. Leonov, L. O. Chua, Scenario of the birth of hidden attractors in the Chua circuit, Int. J. Bifurcat. Chaos, 27 (2017), 1730038. https://doi.org/10.1142/S0218127417300385 doi: 10.1142/S0218127417300385
    [10] N. Kuznetsov, T. Mokaev, V. Ponomarenko, E. Seleznev, N. Stankevich, L. Chua, Hidden attractors in Chua circuit: mathematical theory meets physical experiments, Nonlinear Dyn., 111 (2023), 5859–5887. https://doi.org/10.1007/s11071-022-08078-y doi: 10.1007/s11071-022-08078-y
    [11] Q. Wu, Q. Hong, X. Liu, X. Wang, Z. Zeng, A novel amplitude control method for constructing nested hidden multi-butterfly and multiscroll chaotic attractors, Chaos Soliton. Fract., 134 (2020), 109727. https://doi.org/10.1016/j.chaos.2020.109727 doi: 10.1016/j.chaos.2020.109727
    [12] H. Tian, Z. Wang, P. Zhang, M. Chen, Y. Wang, Dynamic analysis and robust control of a chaotic system with hidden attractor, Complexity, 2021 (2021), 8865522. https://doi.org/10.1155/2021/8865522 doi: 10.1155/2021/8865522
    [13] F. Bao, S. Yu, How to generate chaos from switching system: a saddle focus of index 1 and heteroclinic loop-based approach, Math. Probl. Eng., 2011 (2011), 756462. https://doi.org/10.1155/2011/756462 doi: 10.1155/2011/756462
    [14] T. Zhou, G. Chen, Classification of chaos in 3-D autonomous quadratic systems-Ⅰ: basic framework and methods, Int. J. Bifurcat. Chaos, 16 (2006), 2459–2479. https://doi.org/10.1142/S0218127406016203 doi: 10.1142/S0218127406016203
    [15] Z. Wei, J. C. Sprott, H. Chen, Elementary quadratic chaotic flows with a single non-hyperbolic equilibrium, Phys. Lett. A, 379 (2015), 2184–2187. https://doi.org/10.1016/j.physleta.2015.06.040 doi: 10.1016/j.physleta.2015.06.040
    [16] K. Rajagopal, V. T. Pham, F. R. Tahir, A. Akgul, H. R. Abdolmohammadi, S. Jafari, A chaotic jerk system with non-hyperbolic equilibrium: dynamics, effect of time delay and circuit realisation, Pramana, 90 (2018), 52. https://doi.org/10.1007/s12043-018-1545-x doi: 10.1007/s12043-018-1545-x
    [17] X. Cai, L. Liu, Y. Wang, C. Liu, A 3D chaotic system with piece-wise lines shape non-hyperbolic equilibria and its predefined-time control, Chaos Soliton. Fract., 146 (2021), 110904. https://doi.org/10.1016/j.chaos.2021.110904 doi: 10.1016/j.chaos.2021.110904
    [18] C. Li, W. Hai, Constructing multiwing attractors from a robust chaotic system with non-hyperbolic equilibrium points, Automatika, 59 (2018), 184–193. https://doi.org/10.1080/00051144.2018.1516273 doi: 10.1080/00051144.2018.1516273
    [19] C. Li, J. C. Sprott, Chaotic flows with a single nonquadratic term, Phys. Lett. A, 378 (2014), 178–183. https://doi.org/10.1016/j.physleta.2013.11.004 doi: 10.1016/j.physleta.2013.11.004
    [20] S. Jafari, J. C. Sprott, F. Nazarimehr, Recent new examples of hidden attractors, Eur. Phys. J. Spec. Top., 224 (2015), 1469–1476. https://doi.org/10.1140/epjst/e2015-02472-1 doi: 10.1140/epjst/e2015-02472-1
    [21] X. Wang, G. Chen, A chaotic system with only one stable equilibrium, Commun. Nonlinear Sci., 17 (2012), 1264–1272. https://doi.org/10.1016/j.cnsns.2011.07.017 doi: 10.1016/j.cnsns.2011.07.017
    [22] X. Wang, A. Akgul, S. Cicek, V. T. Pham, D. V. Hoang, A chaotic system with two stable equilibrium points: dynamics, circuit realization and communication application, Int. J. Bifurcat. Chaos, 27 (2017), 1750130. https://doi.org/10.1142/S0218127417501309 doi: 10.1142/S0218127417501309
    [23] P. C. Rech, Self-excited and hidden attractors in a multistable jerk system, Chaos Soliton. Fract., 164 (2022), 112614. https://doi.org/10.1016/j.chaos.2022.112614 doi: 10.1016/j.chaos.2022.112614
    [24] V. T. Pham, S. Jafari, C. Volos, T. Kapitaniak, A gallery of chaotic systems with an infinite number of equilibrium points, Chaos Soliton. Fract., 93 (2016), 58–63. https://doi.org/10.1016/j.chaos.2016.10.002 doi: 10.1016/j.chaos.2016.10.002
    [25] M. Molaie, S. Jafari, J. C. Sprott, S. M. Golpayegani, Simple chaotic flows with one stable equilibrium, Int. J. Bifurcat. Chaos, 23 (2013), 1350188. https://doi.org/10.1142/S0218127413501885 doi: 10.1142/S0218127413501885
    [26] S. Jafari, J. C. Sprott, Simple chaotic flows with a line equilibrium, Chaos Soliton. Fract., 57 (2013), 79–84. https://doi.org/10.1016/j.chaos.2013.08.018 doi: 10.1016/j.chaos.2013.08.018
    [27] S. Kumarasamy, M. Banerjee, V. Varshney, M. D. Shrimali, N. V. Kuznetsov, A. Prasad, Saddle-node bifurcation of periodic orbit route to hidden attractors, Phys. Rev. E, 107 (2023), L052201. https://doi.org/10.1103/PhysRevE.107.L052201 doi: 10.1103/PhysRevE.107.L052201
    [28] R. Balamurali, J. Kengne, R. G. Chengui, K. Rajagopal, Coupled van der Pol and Duffing oscillators: emergence of antimonotonicity and coexisting multiple self-excited and hidden oscillations, Eur. Phys. J. Plus, 137 (2022), 789. https://doi.org/10.1140/epjp/s13360-022-03000-2 doi: 10.1140/epjp/s13360-022-03000-2
    [29] B. Li, B. Sang, M. Liu, X. Hu, X. Zhang, N. Wang, Some jerk systems with hidden chaotic dynamics, Int. J. Bifurcat. Chaos, 33 (2023), 2350069. https://doi.org/10.1142/S0218127423500694 doi: 10.1142/S0218127423500694
    [30] C. Dong, M. Yang, L. Jia, Z. Li, Dynamics investigation and chaos-based application of a novel no-equilibrium system with coexisting hidden attractors, Phys. A, 633 (2024), 129391. https://doi.org/10.1016/j.physa.2023.129391 doi: 10.1016/j.physa.2023.129391
    [31] J. C. Sprott, Strange attractors with various equilibrium types, Eur. Phys. J. Spec. Top., 224 (2015), 1409–1419. https://doi.org/10.1140/epjst/e2015-02469-8 doi: 10.1140/epjst/e2015-02469-8
    [32] M. A. Jafari, E. Mliki, A. Akgul, V. T. Pham, S. T. Kingni, X. Wang, S. Jafari, Chameleon: the most hidden chaotic flow, Nonlinear Dyn., 88 (2017), 2303–2317. https://doi.org/10.1007/s11071-017-3378-4 doi: 10.1007/s11071-017-3378-4
    [33] K. Rajagopal, A. Karthikeyan, P. Duraisamy, Hyperchaotic chameleon: fractional order FPGA implementation, Complexity, 2017 (2017), 8979408. https://doi.org/10.1155/2017/8979408 doi: 10.1155/2017/8979408
    [34] H. Natiq, M. R. Said, M. R. Ariffin, S. He, L. Rondoni, S. Banerjee, Self-excited and hidden attractors in a novel chaotic system with complicated multistability, Eur. Phys. J. Plus, 133 (2018), 557. https://doi.org/10.1140/epjp/i2018-12360-y doi: 10.1140/epjp/i2018-12360-y
    [35] S. Cang, Y. Li, R. Zhang, Z. Wang, Hidden and self-excited coexisting attractors in a Lorenz-like system with two equilibrium points, Nonlinear Dyn., 95 (2019), 381–390. https://doi.org/10.1007/s11071-018-4570-x doi: 10.1007/s11071-018-4570-x
    [36] Q. Yang, Z. Wei, G. Chen, An unusual 3D autonomous quadratic chaotic system with two stable node-foci, Int. J. Bifurcat. Chaos, 20 (2010), 1061–1083. https://doi.org/10.1142/S0218127410026320 doi: 10.1142/S0218127410026320
    [37] V. F. Signing, G. G. Tegue, M. Kountchou, Z. T. Njitacke, N. Tsafack, J. D. Nkapkop, et al., A cryptosystem based on a chameleon chaotic system and dynamic DNA coding, Chaos Soliton. Fract., 155 (2022), 111777. https://doi.org/10.1016/j.chaos.2021.111777 doi: 10.1016/j.chaos.2021.111777
    [38] W. Fan, D. Xu, Z. Chen, N. Wang, Q. Xu, On two-parameter bifurcation and analog circuit implementation of a chameleon chaotic system, Phys. Scr., 99 (2023), 015218. https://doi.org/10.1088/1402-4896/ad1231 doi: 10.1088/1402-4896/ad1231
    [39] A. Tiwari, R. Nathasarma, B. K. Roy, A new time-reversible 3D chaotic system with coexisting dissipative and conservative behaviors and its active non-linear control, J. Franklin I., 361 (2024), 106637. https://doi.org/10.1016/j.jfranklin.2024.01.038 doi: 10.1016/j.jfranklin.2024.01.038
    [40] R. Zhou, Y. Gu, J. Cui, G. Ren, S. Yu, Nonlinear dynamic analysis of supercritical and subcritical Hopf bifurcations in gas foil bearing-rotor systems, Nonlinear Dyn., 103 (2021), 2241–2256. https://doi.org/10.1007/s11071-021-06234-4 doi: 10.1007/s11071-021-06234-4
    [41] N. V. Stankevich, N. V. Kuznetsov, G. A. Leonov, L. O. Chua, Scenario of the birth of hidden attractors in the Chua circuit, Int. J. Bifurcat. Chaos, 27 (2017), 1730038. https://doi.org/10.1142/S0218127417300385 doi: 10.1142/S0218127417300385
    [42] H. Zhao, Y. Lin, Y. Dai, Hopf bifurcation and hidden attractor of a modified Chua's equation, Nonlinear Dyn., 90 (2017), 2013–2021. https://doi.org/10.1007/s11071-017-3777-6 doi: 10.1007/s11071-017-3777-6
    [43] M. Liu, B. Sang, N. Wang, I. Ahmad, Chaotic dynamics by some quadratic jerk systems, Axioms, 10 (2021), 227. https://doi.org/10.3390/axioms10030227 doi: 10.3390/axioms10030227
    [44] Q. Yang, D. Zhu, L. Yang, A new 7D hyperchaotic system with five positive Lyapunov exponents coined, Int. J. Bifurcat. Chaos, 28 (2018), 1850057. https://doi.org/10.1142/S0218127418500578 doi: 10.1142/S0218127418500578
    [45] Z. Li, K. Chen, Neuromorphic behaviors in a neuron circuit based on current-controlled Chua Corsage Memristor, Chaos Soliton. Fract., 175 (2023), 114017. https://doi.org/10.1016/j.chaos.2023.114017 doi: 10.1016/j.chaos.2023.114017
    [46] Y. Liu, Y. Zhou, B. Guo, Hopf bifurcation, periodic solutions, and control of a new 4D hyperchaotic system, Mathematics, 11 (2023), 2699. https://doi.org/10.3390/math11122699 doi: 10.3390/math11122699
    [47] C. Li, J. C. Sprott, Variable-boostable chaotic flows, Optik, 127 (2016), 10389–10398. https://doi.org/10.1016/j.ijleo.2016.08.046 doi: 10.1016/j.ijleo.2016.08.046
    [48] C. Li, A. Akgul, L. Bi, Y. Xu, C. Zhang, A chaotic jerk oscillator with interlocked offset boosting, Eur. Phys. J. Plus, 139 (2024), 242. https://doi.org/10.1140/epjp/s13360-024-05040-2 doi: 10.1140/epjp/s13360-024-05040-2
    [49] C. Li, X. Wang, G. Chen, Diagnosing multistability by offset boosting, Nonlinear Dyn., 90 (2017), 1335–1341. https://doi.org/10.1007/s11071-017-3729-1 doi: 10.1007/s11071-017-3729-1
    [50] X. Gao, Hamilton energy of a complex chaotic system and offset boosting, Phys. Scr., 99 (2024), 015244. https://doi.org/10.1088/1402-4896/ad1739 doi: 10.1088/1402-4896/ad1739
    [51] X. Zhang, C. Li, T. Lei, H. Fu, Z. Liu, Offset boosting in a memristive hyperchaotic system, Phys. Scr., 99 (2024), 015247. https://doi.org/10.1088/1402-4896/ad156e doi: 10.1088/1402-4896/ad156e
    [52] H. Dang-Vu, C. Delcarte, Bifurcations et Chaos: une introduction à la dynamique contemporaine avec des programmes en Pascal, Fortran et Mathematica, Paris: Ellipses, 2000.
    [53] C. Grebogi, E. Ott, J. A. Yorke, Chaos, strange attractors, and fractal basin boundaries in nonlinear dynamics, Science, 238 (1987), 632–638. https://doi.org/10.1126/science.238.4827.632 doi: 10.1126/science.238.4827.632
  • Reader Comments
  • © 2025 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(567) PDF downloads(59) Cited by(0)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog