Research article Special Issues

Certain subclass of analytic functions based on q-derivative operator associated with the generalized Pascal snail and its applications

  • By the principle of differential subordination and the q-derivative operator, we introduce the q-analog SPqsnail(λ;α,β,γ) of certain class of analytic functions associated with the generalized Pascal snail. Firstly, we obtain the coefficient estimates and Fekete-Szegö functional inequalities for this class. Meanwhile, we also estimate the corresponding symmetric Toeplitz determinant. Secondly, for all the above results we provide the corresponding results for the reduced classes SPqsnail(α,β,γ) and RPqsnail(α,β,γ). Thirdly, we characterize the Bohr radius problems for the function class SPqsnail(α,β,γ). Lastly, we establish certain results for some new subclasses of functions defined by the neutrosophic Poisson distribution series.

    Citation: Pinhong Long, Jinlin Liu, Murugusundaramoorthy Gangadharan, Wenshuai Wang. Certain subclass of analytic functions based on q-derivative operator associated with the generalized Pascal snail and its applications[J]. AIMS Mathematics, 2022, 7(7): 13423-13441. doi: 10.3934/math.2022742

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  • By the principle of differential subordination and the q-derivative operator, we introduce the q-analog SPqsnail(λ;α,β,γ) of certain class of analytic functions associated with the generalized Pascal snail. Firstly, we obtain the coefficient estimates and Fekete-Szegö functional inequalities for this class. Meanwhile, we also estimate the corresponding symmetric Toeplitz determinant. Secondly, for all the above results we provide the corresponding results for the reduced classes SPqsnail(α,β,γ) and RPqsnail(α,β,γ). Thirdly, we characterize the Bohr radius problems for the function class SPqsnail(α,β,γ). Lastly, we establish certain results for some new subclasses of functions defined by the neutrosophic Poisson distribution series.



    Recall that the complex valued mapping Lα,β,γ:DC is defined by

    Lα,β,γ(z)=(22γ)z(1αz)(1βz)=n=1Mn(α,β,γ)zn, (1.1)

    where

    Mn(α,β,γ):=Mn={(22γ)n=1(αnβnαβ)zn,ifαβ,(22γ)n=1nαn1zn,ifα=β, (1.2)

    for 0α,β1(αβ±1) and 0γ<1, whose image is in the domain Δ(α,β,γ) with the boundary

    Δ(α,β,γ)={w=u+viC:[2(1γ)u+(α+β)(u2+v2)]2(1+αβ)2=(u2+v2)24(1γ)2v2(1αβ)2}, (1.3)

    that is called the generalized Pascal snail [16] (see Figures 1 and 2). It is well known that Pascal snail is the inversion of conic sections with respect to a focus. Note that M1=22γ and M2=(22γ)(α+β).

    Figure 1.  The image of D under Lα,β,γ(z).
    Figure 2.  The image of D under Lα,β,γ(z).

    Define by A the class of analytic functions f which are expanded with the Taylor-Maclaurin's series

    f(z)=z+n=2anzn (1.4)

    in the open unit disk D={zC:∣z∣<1}. Further, if fA is univalent in D, then we denote such class of functions by S. For two analytic functions F and G in D, if there has a Schwarz function ωΩ with ω(0)=0 and ω(z)∣<1 for zD, such that F(z)=G(ω(z)), then F is subordinate to G in D, i.e. FG. In addition, if GS, then there exists the following equivalent relation [20]:

    FGF(0)=G(0)andF(D)G(D).

    Besides, if ω(z)=z, then F is majorized by G in D, i.e. FG.

    Lately, the study of the q-calculus has riveted the rigorous consecration of researchers. The great attention is due to its gains in many areas of mathematics and physics. The significance of the q-derivative operator Dq is quite evident by its applications in the study of several subclasses of analytic functions. Initially, in 1990, Ismail et al. [14] gave the idea of q-starlike functions. Nevertheless, a firm base of the usage of the q-calculus in the context of geometric function theory was efficiently established (refer to the work by Purohit and Raina [24]), and the use of the generalized basic (or q-) hypergeometric functions in geometric function theory was made by Srivastava (see [25] for more details). After that, the extraordinary studies have been done by many mathematicians, which offer a significant part in the encroachment of geometric function theory (see [27,28,29,30,31,33]).

    For fA, its q-derivative or the q-difference Dqf(z) is given by

    Dqf(z)=1+n=2[n]qanzn1,0<q<1,

    where the q-derivative operator Dqf(z) (refer to [15]) of f is defined by

    Dqf(z):={f(z)f(qz)(1q)z,z0,0<q<1,f(0),z=0,

    provided that f(0) exists, and the q-number [n]q is exactly [ς]q when ς=nN, with

    [ς]q={1qς1q,forςC,ς1k=0qk,forς=nN.

    Note that Dqf(z)f(z) when q1, where f is the ordinary derivative of f.

    For fA, we recall the symmetric determinant matrix Tj(n) given in [9] as below:

    Tj(n)=|anan+1an+j1an+1anan+jan+j1an+jan|.

    Here, we also point out that

    T2(2)=|a2a3a3a2|=a22a23

    and

    T3(1)=|1a2a3a21a2a3a21|=1+2a22a32a22a23.

    Let the image of the analytic function g(z)=n=0bnzn in D belong to ΩD. In 1914, Harald Bohr [10] showed that the inequality n=0|bnzn|1 in the disc Dδ={z||z|δ} with δ16. Because of the works of Weiner, Riesz and Schur, we know that r=13 is best number and called Bohr radius that named after Niels Bohr, the founder of quantum theory [23]. Further, the corresponding inequality (the called Bohr inequality) can be denoted by

    d(n=0|an||z|n,|a0|)d(f(0),f(D)),

    for |z|<rΩ with respect to the Euclidean distance d. The largest radius rΩ is called the Bohr radius for the corresponding class. For more details for the Bohr radius and Bohr inequality, we can refer to [2,6,7,12,17].

    Recently, Kanas and Masih [16] considered the analytic representation of the domain by a generalized Pascal snail. Besides, Allu and Halder [5] investigated Bohr radius for certain classes of starlike and convex univalent functions (also refer to [8,11]). Thomas et al. [9,34] studied the symmetric Toeplitz determinants for starlike and close-to-convex functions. Stimulated by recent studies [1,3,4,18,25,26], we introduce and study certain new subclasses of analytic functions associated with the generalized Pascal snail involving q-derivative operator, and obtain the corresponding upper estimates of the initial coefficients a2 and a3 of Taylors series and Fekete-Szegö functional inequalities for functions of the new subclasses given in Definition 1. In addition, we characterize the Bohr radius problems for certain reduced version of this class. Srivastava and Porwal [32] ever investigated the coefficient inequalities of Poisson distribution series in conic domain related to uniformly convex, k-spiralike and starlike functions. Along this line, Oladipo [21] estimated the bound on the first few coefficients and classical Fekete-Szegö problem for Poisson and neutrosophic Poisson distribution series connected with Chebyshev polynomials. As an application, all our results are almost generalized into the new class related with the neutrosophic Poisson distribution series.

    Now, by term of the unified subordination technique by Ma-Mind[19], we introduce the following subclass of analytic and univalent functions associated with the generalized Pascal snail and q-derivative operator.

    Definition 1.1. Let Lα,β,γ be given by (1.1). A function fA is said to be in the class SPqsnail(λ;α,β,γ) if the following subordination:

    zDqf(z)(1λ)f(z)+λz1+Lα,β,γ(z) (1.5)

    holds for zD, where 0λ1.

    Note that by specializing the parameter λ, we get the reduced classes below:

    (1) SPqsnail(0;α,β,γ)SPqsnail(α,β,γ)={fA:zDqf(z)f(z)1+Lα,β,γ(z)},

    (2) SPqsnail(1;α,β,γ)RPqsnail(α,β,γ)={fA:Dqf(z)1+Lα,β,γ(z)}.

    Denote by P the class of all analytic and univalent functions h(z) of the following form:

    h(z)=1+n=1cnzn,zD, (1.6)

    satisfying [h(z)]>0 and h(0)=1. To proceed our results, we are ready for some indispensable Lemmas given below.

    Lemma 1.1. [13] Let h(z)P. Then the sharp estimates

    cn∣≤2,nN,

    are true. In particular, theequality holds for all n for the following function:

    h(z)=1+z1z=1+n=12zn.

    Lemma 1.2. [19] If h(z)P, then, for any complex κC,

    |c2κc21|2max{1,|2κ1|},

    and the sharp result holds for the functions

    h(z)=1+z1zorh(z)=1+z21z2,zD.

    Lemma 1.3. [19] Assume that the function h(z)P and κR. Then

    c2κc21∣≤{4κ+2,ifκ0,2,if0κ1,4κ2,ifκ1.

    For κ<0 or κ>1, the inequality holds literally ifand only if h(z)=1+z1z or one of its rotations. If 0<κ<1, the inequality holds literally if and only if h(z)=1+z21z2 or one of its rotations. Inparticular, if κ=0, then the sharp result holds for thefollowing function:

    h(z)=(12+η2)1+z1z+(12η2)1z1+z,0η1,

    or one of its rotations. If κ=1, then the sharp resultholds for the following function:

    1h(z)=(12+η2)1+z1z+(12η2)1z1+z,0η1,

    or one of its rotations. If 0<κ<1, then the upper bound issharp as follows:

    |c2κc21|+κ|c1|22,0<κ12,

    and

    |c2κc21|+(1κ)|c1|22,12<κ<1.

    Denote the function hP by

    h(z)=1+u(z)1u(z)=1+n=1cnzn.

    Then, from (1.6) we derive that

    u(z)=h(z)1h(z)+1=c12z+(c22c214)z2+(c32c2c12+c318)z3+,zDp, (2.1)

    such that u(z)Ω. By (1.1) and (2.1), we imply that

    Lα,β,γ(u(z))=M1c12z+[M1c22+(M2M1)c214]z2+[M1c32+(M2M1)c2c12+(M12M2+M3)c318]z3+,zD. (2.2)

    Throughout our study unless otherwise stated we note that

    M1=22γ>0andM2=(22γ)(α+β).

    Now, we characterize the functional estimates for the class SPqsnail(λ;α,β,γ) and establish the next theorems for the coefficient bounds and the corresponding Feteke-Szegö problems.

    Theorem 2.1. If f(z) given by (1.4) belongs to the class SPqsnail(λ;α,β,γ), then

    |a2|M1[2]q+λ1 (2.3)

    and

    |a3|M1+|M2M1|[3]q+λ1+(1λ)M21([3]q+λ1)([2]q+λ1). (2.4)

    Proof. Assume that fSPqsnail(λ;α,β,γ). Then, there exists a Schwarz function u(z)Ω so that

    zDqf(z)(1λ)f(z)+λz=1+Lα,β,γ(u(z)). (2.5)

    Since

    zDqf(z)(1λ)f(z)+λz=1+([2]q+λ1)a2z+[([3]q+λ1)a3(1λ)([2]q+λ1)a22]z2+ (2.6)

    for fA, combing (2.5) and (2.6), with (2.2) we get that

    M1c12=([2]q+λ1)a2

    and

    M1c22+(M2M1)c214=([3]q+λ1)a3(1λ)([2]q+λ1)a22,

    such that

    a2=M1c12([2]q+λ1) (2.7)

    and

    a3=2M1c2+(M2M1)c214([3]q+λ1)+(1λ)M21c214([3]q+λ1)([2]q+λ1). (2.8)

    By Lemma 1.1 we assert that Theorem 2.1 holds true.

    By taking λ=0 in Theorem 2.1, we deduce the corollary below.

    Corollary 2.1. If f(z) given by (1.4) belongs to the class SPqsnail(α,β,γ), then

    |a2|M1[2]q1

    and

    |a3|M1+|M2M1|[3]q1+M21([3]q1)([2]q1).

    By taking λ=1 in Theorem 2.1, we deduce the corollary below.

    Corollary 2.2. If f(z) given by (1.4) belongs to the class RPqsnail(α,β,γ), then

    |a2|M1[2]q

    and

    |a3|M1+|M2M1|[3]q+M21[3]q[2]q.

    Theorem 2.2. If f(z) given by (1.4) belongs to the class SPqsnail(λ;α,β,γ), then

    |a3μa22|M1max{1,|2ρ1|}[3]q+λ1 (2.9)

    holds for μC, where

    ρ=μ([3]q+λ1)M12([2]q+λ1)2M2M12M1(1λ)M12([2]q+λ1).

    Proof. For μC, by using (2.7) and (2.8), we infer that

    a3μa22=M12([3]q+λ1)(c2ρc21), (2.10)

    where

    ρ=μ([3]q+λ1)M12([2]q+λ1)2M2M12M1(1λ)M12([2]q+λ1).

    Hence, we apply Lemma 1.2 to Eq (2.10) and show that Theorem 2.2 holds true.

    Corollary 2.3. If f(z) given by (1.4) belongs to the class SPqsnail(α,β,γ), then

    |a3μa22|M1max{1,|2ρ1|}[3]q1

    holds for μC, where

    ρ=μ([3]q1)M12([2]q1)2M2M12M1M12([2]q1).

    Corollary 2.4. If f(z) given by (1.4) belongs to the class RPqsnail(α,β,γ), then

    |a3μa22|M1max{1,|2ρ1|}[3]q

    holds for μC, where

    ρ=μ[3]qM12[2]2qM2M12M1.

    If we let μR, then we are based on the proof of Theorem 2.2 and Lemma 1.3 to establish the Fekete-Szegö functional inequality for SPqsnail(λ;α,β,γ).

    Theorem 2.3. For μR, if f(z)A belongs to theclass SPqsnail(λ;α,β,γ), then

    |a3μa22|{M1(2ρ+1)[3]q+λ1,μ1,M1[3]q+λ1,1μ2,M1(2ρ1)[3]q+λ1,μ2,

    where ρ is the same as in Theorem 2.2,

    1=([2]q+λ1)2(M2M1)([3]q+λ1)M21+(1λ)([2]q+λ1)[3]q+λ1

    and

    2=([2]q+λ1)2(M2+M1)([3]q+λ1)M21+(1λ)([2]q+λ1)[3]q+λ1.

    In addition, we fix

    3=([2]q+λ1)2M2([3]q+λ1)M21+(1λ)([2]q+λ1)[3]q+λ1.

    Then, each of the following inequalities holds:

    (A) For μ[1,3],

    |a3μa22|+2ρ([2]q+λ1)2([3]q+λ1)M1|a2|2M1[3]q+λ1;

    (B) For μ[3,2],

    |a3μa22|+2(1ρ)([2]q+λ1)2([3]q+λ1)M1|a2|2M1[3]q+λ1.

    Proof. For μR and ρ in Theorem 2.2, if we let ρ0, then we know that

    μ([3]q+λ1)M12([2]q+λ1)2M2M12M1(1λ)M12([2]q+λ1)0

    and obtain

    μ([2]q+λ1)2(M2M1)([3]q+λ1)M21+(1λ)([2]q+λ1)[3]q+λ1:=1.

    Similarly, we get that for ρ1,

    μ([2]q+λ1)2(M2+M1)([3]q+λ1)M21+(1λ)([2]q+λ1)[3]q+λ1:=2,

    and for ρ=12,

    μ=([2]q+λ1)2M2([3]q+λ1)M21+(1λ)([2]q+λ1)[3]q+λ1:=3.

    Therefore, together with Lemma 1.3 and Eqs (2.7) and (2.10), we can prove that Theorem 2.3 holds true.

    Corollary 2.5. For μR, if f(z)A belongs to theclass SPqsnail(α,β,γ), then

    |a3μa22|{M1(2ρ+1)[3]q1,μ1,M1[3]q1,1μ2,M1(2ρ1)[3]q1,μ2,

    where ρ is the same as in Corollary 2.3,

    1=([2]q1)2(M2M1)([3]q1)M21+[2]q1[3]q1

    and

    2=([2]q1)2(M2+M1)([3]q1)M21+[2]q1[3]q1.

    In addition, we fix

    3=([2]q1)2M2([3]q1)M21+[2]q1[3]q1.

    Then, each of the following inequalities holds:

    (A) For μ[1,3],

    |a3μa22|+2ρ([2]q1)2([3]q1)M1|a2|2M1[3]q1;

    (B) For μ[3,2],

    |a3μa22|+2(1ρ)([2]q1)2([3]q1)M1|a2|2M1[3]q1.

    Corollary 2.6. For μR, if f(z)A belongs to theclass RPqsnail(α,β,γ), then

    |a3μa22|{M1(2ρ+1)[3]q,μ1,M1[3]q,1μ2,M1(2ρ1)[3]q,μ2,

    where ρ is the same as in Corollary 2.4,

    1=[2]2q(M2M1)[3]qM21and2=[2]2q(M2+M1)[3]qM21.

    In addition, we put

    3=[2]2qM2[3]qM21.

    Then, each of the following inequalities holds:

    (A) For μ[1,3],

    |a3μa22|+2ρ[2]2q[3]qM1|a2|2M1[3]q;

    (B) For μ[3,2],

    |a3μa22|+2(1ρ)[2]2q[3]qM1|a2|2M1[3]q.

    Now we pay attention to the symmetric Toeplitz determinants T2(2) and T3(1) for the class SPqsnail(λ;α,β,γ). From (2.7) and (2.8), in view of Lemma 1.1, we easily obtain the theorem below.

    Theorem 3.1. If f(z) given by (1.4) belongs to the class SPqsnail(λ;α,β,γ), then

    T2(2)M21([2]q+λ1)2+[M1+|M2M1|[3]q+λ1+(1λ)M21([3]q+λ1)([2]q+λ1)]2.

    Corollary 3.1. If f(z) given by (1.4) belongs to the class SPqsnail(α,β,γ), then

    T2(2)M21([2]q1)2+[M1+|M2M1|[3]q1+M21([3]q1)([2]q1)]2.

    Corollary 3.2. If f(z) given by (1.4) belongs to the class RPqsnail(α,β,γ), then

    T2(2)M21[2]2q+[M1+|M2M1|]2[3]2q.

    Based on the proof of Theorem 2.2 and Lemma 1.2, we consider the symmetric determinant T3(1) for SPqsnail(λ;α,β,γ) and establish the next theorem.

    Theorem 3.2. If f(z)A belongs to the class SPqsnail(λ;α,β,γ), then

    |T3(1)|(1+M1max{1,|2ρ1|}[3]q+λ1)×[1+M1+|M2M1|[3]q+λ1+(1λ)M21([3]q+λ1)([2]q+λ1)]

    holds, where

    ρ=([3]q+λ1)M1([2]q+λ1)2M2M12M1(1λ)M12([2]q+λ1).

    Proof. According to the definition of symmetric Toeplitz determinant, we remark that

    |T3(1)|=|(1+a32a22)(1a3)|(1+|a32a22|)(1+|a3|). (3.1)

    Therefore, with (2.8) we apply Theorem 2.2 into the inequality (3.1) to ensure Theorem 3.2 is true.

    Corollary 3.3. If f(z)A belongs to the class SPqsnail(α,β,γ), then

    |T3(1)|(1+M1max{1,|2ρ1|}[3]q1)×[1+M1+|M2M1|[3]q1+M21([3]q1)([2]q1)]

    holds, where

    ρ=([3]q1)M1([2]q1)2M2M12M1M12([2]q1).

    Corollary 3.4. If f(z)A belongs to the class RPqsnail(α,β,γ), then

    |T3(1)|(1+M1max{1,|2ρ1|}[3]q)×(1+M1+|M2M1|[3]q)

    holds, where

    ρ=[3]qM1[2]2qM2M12M1.

    Similarly, from Theorem 2.3 and Lemma 1.3, we also estimate the symmetric determinant T3(1) for SPqsnail(λ;α,β,γ).

    Theorem 3.3. If f(z)A belongs to the class SPqsnail(λ;α,β,γ), then

    |T3(1)|{(1+M1(2ρ+1)[3]q+λ1)×[1+M1+|M2M1|[3]q+λ1+(1λ)M21([3]q+λ1)([2]q+λ1)],ΞM2M1,(1+M1[3]q+λ1)×[1+M1+|M2M1|[3]q+λ1+(1λ)M21([3]q+λ1)([2]q+λ1)],M2M1ΞM2+M1,(1+M1(2ρ1)[3]q+λ1)×[1+M1+|M2M1|[3]q+λ1+(1λ)M21([3]q+λ1)([2]q+λ1)],M2+M1Ξ,

    where ρ is the same as in Theorem 2.2, and

    Ξ=2([3]q+λ1)M21([2]q+λ1)2(1λ)M21[2]q+λ1.

    Proof. Assume that μ=2 in Theorem 2.3. Then, we derive that

    |a32a22|{M1(2ρ+1)[3]q+λ1,21,M1[3]q+λ1,122,M1(2ρ1)[3]q+λ1,22,

    where i(i=1,2) are the same as in Theorem 2.3. If 21, then we infer that

    M2M12([3]q+λ1)M21([2]q+λ1)2(1λ)M21[3]q+λ1:=Ξ.

    Similarly, we see that 122 and 22 are equivalent to M2M1ΞM2+M1 and ΞM2+M1, respectively. Moreover, together with (2.8) and the inequality (3.1) we complete the proof of Theorem 3.3.

    Corollary 3.5. If f(z)A belongs to the class SPsnail(α,β,γ),

    |T3(1)|{(1+M1(2ρ+1)[3]q1)×[1+M1+|M2M1|[3]q1+M21([3]q1)([2]q1)],ΞM2M1,(1+M1[3]q1)×[1+M1+|M2M1|[3]q1+M21([3]q1)([2]q1)],M2M1ΞM2+M1,(1+M1(2ρ1)[3]q1)×[1+M1+|M2M1|[3]q1+M21([3]q1)([2]q1)],M2+M1Ξ,

    where ρ is the same as in Corollary 2.3, and

    Ξ=2([3]q1)M21([2]q1)2M21[2]q1.

    Corollary 3.6. If f(z)A belongs to the class RPqsnail(α,β,γ), then

    |T3(1)|{(1+M1(2ρ+1)[3]q)×(1+M1+|M2M1|[3]q),2[3]qM21[2]2qM2M1,(1+M1[3]q)×(1+M1+|M2M1|[3]q),M2M12[3]qM21[2]2qM2+M1,(1+M1(2ρ1)[3]q)×(1+M1+|M2M1|[3]q),M2+M12[3]qM21[2]2q,

    where ρ is the same as in Corollary 2.4.

    Next we study the Bohr radius problems for SPsnail(α,β,γ). Here, we following the methods of Allu and Halder [5]. Define the following function S by

    zDq(z)(z)=1+Lα,β,γ(z). (4.1)

    Note that is the same role as Kobe function for the class SPsnail(α,β,γ). Now, without proof we state our results as follows.

    Theorem 4.1. If f(z) given by (1.4) belongs to the class SPqsnail(α,β,γ) and 1+Lα,β,γ(z) is in the Hardy class H2 of analytic functions in D, then

    |z|+n=2|an||z|nd(0,f(D)) (4.2)

    for |z|<max{r,1/3}, where r is thesmallest positive solution of

    (r)+(1)=0

    in (0,1), and (z) is defined by (4.1) with

    (r)=rexp(n=1Mn(α,β,γ)rnn).

    In this case, the class SPqsnail(α,β,γ) is said to satisfythe Bohr phenomenon.

    From now on, by letting N(z) as the neutrosophic Poisson distribution series, we study the following problems. As is well known that the classical probability distributions only deal with specified data and specified parameter values, while the neutrosophic probability distribution is deeply concerned with some more general and clear ones. In fact, neutrosophic Poisson distribution of a discrete variable ξ is a classical Poisson distribution of x with the imprecise parameter value. A variable ξ is said to have the neutrosophic Poisson distribution if its probability with the value kN=N{0} is

    NP(ξ=k)=(mN)kk!emN,

    where the distribution parameter mN is the expected value and the variance, that is to say, NE(x)=NV(x)=mN for the neutrosophic statistical number N=d+I (refer to [22] and the references cited). Define a power series whose coefficients are probabilities of neutrosophic Poisson distribution by

    Φ(mN,z)=z+n=2(mN)n1(n1)!emNzn,zD.

    For fA, we take the convolution operator to introduce the linear operator N:AA defined by

    Nf(z)=Φ(mN,z)f(z)=z+n=2(mN)n1(n1)!emNanzn=z+n=2E(mN,n)anzn, (5.1)

    where

    En:=E(mN,n)=(mN)n1(n1)!emN.

    Specially

    E2:=mNemN,E3:=(mN)22emN.

    Referring to Definition 1.1, now we introduce the new class associated with the neutrosophic Poisson distribution series.

    Definition 5.1. Let Lα,β,γ be given by (1.1). For 0λ1, a function fA is said to be in the class NSPqsnail(λ;α,β,γ) if the following subordination

    zDq[Nf(z)](1λ)Nf(z)+λz1+Lα,β,γ(z) (5.2)

    holds for zD, where Nf(z) is given by (5.1).

    As the similar as Definition 1.1, we denote that

    NSPqsnail(0;α,β,γ)=NSPqsnail(α,β,γ)

    and

    NSPqsnail(1;α,β,γ)=NRPqsnail(α,β,γ).

    By applying Theorems 2.1–2.3, we can deduce the theorems below.

    Theorem 5.1. If f(z) given by (1.4) belongs to the class NSPqsnail(λ;α,β,γ), then

    |a2|M1([2]q+λ1)E2, (5.3)
    |a3|M1+|M2M1|([3]q+λ1)E3+(1λ)M21([3]q+λ1)([2]q+λ1)E3 (5.4)

    and

    |a3μa22|M1max{1,|2ϱ1|}([3]q+λ1)E3 (5.5)

    holds for μC, where

    ϱ=μ([3]q+λ1)M1E32([2]q+λ1)2E22M2M12M1(1λ)M12([2]q+λ1).

    Theorem 5.2. For μR, if f(z)A belongs to theclass NSPqsnail(λ;α,β,γ), then

    |a3μa22|{M1(2ϱ+1)([3]q+λ1)E3,μΥ1,M1([3]q+λ1)E3,Υ1μΥ2,M1(2ϱ1)([3]q+λ1)E3,μΥ2,

    where ϱ is the same as in Theorem 5.1,

    Υ1=([2]q+λ1)2(M2M1)E22([3]q+λ1)M21E3+(1λ)([2]q+λ1)E22([3]q+λ1)E3

    and

    Υ2=([2]q+λ1)2(M2+M1)E22([3]q+λ1)M21E3+(1λ)([2]q+λ1)E22([3]q+λ1)E3.

    In addition, we fix

    Υ3=([2]q+λ1)2M2E22([3]q+λ1)M21E3+(1λ)([2]q+λ1)E22([3]q+λ1)E3.

    Then, each of the following inequalities holds:

    (A) For μ[Υ1,Υ3],

    |a3μa22|+2ϱ([2]q+λ1)2E22([3]q+λ1)M1E3|a2|2M1([3]q+λ1)E3;

    (B) For μ[Υ3,Υ2],

    |a3μa22|+2(1ϱ)([2]q+λ1)2E22([3]q+λ1)M1E3|a2|2M1([3]q+λ1)E3.

    Similarly, by applying Theorems 3.1–3.3, we can establish the theorems below.

    Theorem 5.3. If f(z) given by (1.4) belongs to the class NSPqsnail(λ;α,β,γ), then

    T2(2)M21([2]q+λ1)2E22+[M1+|M2M1|([3]q+λ1)E3+(1λ)M21([3]q+λ1)([2]q+λ1)E3]2.

    Theorem 5.4. If f(z)A belongs to the class NSPqsnail(λ;α,β,γ), then

    |T3(1)|(1+M1max{1,|2ϱ1|}([3]q+λ1)E3)×[1+M1+|M2M1|([3]q+λ1)E3+(1λ)M21([3]q+λ1)([2]q+λ1)E3]

    holds, where

    ϱ=([3]q+λ1)M1E3([2]q+λ1)2E22M2M12M1(1λ)M12([2]q+λ1).

    Theorem 5.5. If f(z)A belongs to the class NSPqsnail(λ;α,β,γ), then

    |T3(1)|{(1+M1(2ϱ+1)([3]q+λ1)E3)×[1+M1+|M2M1|([3]q+λ1)E3+(1λ)M21([3]q+λ1)([2]q+λ1)E3],ΠM2M1,(1+M1([3]q+λ1)E3)×[1+M1+|M2M1|([3]q+λ1)E3+(1λ)M21([3]q+λ1)([2]q+λ1)E3],M2M1ΠM2+M1,(1+M1(2ϱ1)([3]q+λ1)E3)×[1+M1+|M2M1|([3]q+λ1)E3+(1λ)M21([3]q+λ1)([2]q+λ1)E3],M2+M1Π,

    where ϱ is the same as in Theorem 5.4, and

    Π=2([3]q+λ1)M21E3([2]q+λ1)2E22(1λ)M21[2]q+λ1.

    By involving the generalized Pascal snail and q-derivative operator, certain new subclass of analytic and univalent functions can be defined to improve the classical starlike functions. In our main results, for this class we obtain the corresponding the Fekete-Szegö functional inequalities and the symmetric Toeplitz determinants as well as the bound estimates of the coefficients a2 and a3. In addition, we characterize the Bohr radius problems for the reduced version of this class. Moreover, the above results are applied to the neutrosophic Poisson distribution series. Besides, some other problems like Hankel determinant, partial sum inequalities, and many more can be discussed for this class as the future work. In fact, we also replace the generalized Pascal snail by the other Lima\c{c}ons. In the neutrosophic logic sense, other types of probability distributions, for example, exponential distributions, Bernoulli distributions and uniform distributions, can be studied in various classes of analytic functions.

    This work was supported by Natural Science Foundation of Ningxia (Grant No. 2020AAC03066) and Natural Science Foundation of China (Grant Nos. 42064004; 11762016; 11571299).

    The authors declare no conflicts of interest.



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