Research article

Hyperbolic Ricci soliton and gradient hyperbolic Ricci soliton on relativistic prefect fluid spacetime

  • Received: 21 April 2024 Revised: 11 June 2024 Accepted: 14 June 2024 Published: 05 July 2024
  • MSC : 53B30, 53C44, 53C50, 53C80

  • In this research note, we investigated the characteristics of perfect fluid spacetime when coupled with the hyperbolic Ricci soliton. We additionally interacted with the perfect fluid spacetime, with a φ(Q)-vector field and a bi-conformal vector field that admits the hyperbolic Ricci solitons. Furthermore, we analyze the gradient hyperbolic Ricci soliton in perfect fluid spacetime, employing a scalar concircular field, and discuss about the gradient hyperbolic Ricci soliton's rate of change. In the end, we determined the energy conditions for perfect fluid spacetime in terms of gradient hyperbolic Ricci soliton with a scalar concircular field.

    Citation: Mohd. Danish Siddiqi, Fatemah Mofarreh. Hyperbolic Ricci soliton and gradient hyperbolic Ricci soliton on relativistic prefect fluid spacetime[J]. AIMS Mathematics, 2024, 9(8): 21628-21640. doi: 10.3934/math.20241051

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  • In this research note, we investigated the characteristics of perfect fluid spacetime when coupled with the hyperbolic Ricci soliton. We additionally interacted with the perfect fluid spacetime, with a φ(Q)-vector field and a bi-conformal vector field that admits the hyperbolic Ricci solitons. Furthermore, we analyze the gradient hyperbolic Ricci soliton in perfect fluid spacetime, employing a scalar concircular field, and discuss about the gradient hyperbolic Ricci soliton's rate of change. In the end, we determined the energy conditions for perfect fluid spacetime in terms of gradient hyperbolic Ricci soliton with a scalar concircular field.



    The theory of special functions performs an essential role in the formalism of mathematical physics. The Bessel functions [16] are one of the most important special functions and have applications in number theory, lie theory and theoretical astronomy to some problems of engineering and physics. The Bessel functions Jn(x) are specified by means of the following generating equation [16]:

    exp(x2(t1t))=n=Jn(x)tn,t0;|x|< (1.1)

    and have the following series form:

    Jn(x)=k=0(1)k(x2)n+2kk!Γ(1+n+k),|x|<, (1.2)

    where n is a positive integer or zero.

    The Tricomi functions are another important special function due to their intrinsic mathematical importance in numerous branches of applied mathematics and mathematical physics and possess the following series form:

    Cn(x)=k=0(1)k xkk! (n+k)!. (1.3)

    The Tricomi function Cn(x) are linked to the Bessel function Jn(x) [16] as:

    Cn(x)=xn/2Jn(2x), (1.4)

    or

    Jn(x)=(x2)nCn(x24) (1.5)

    and possess the following generating equation:

    exp(txt)=n=Cn(x)tn. (1.6)

    In last few decades, an increasing interest in the area of matrix special polynomials have been noticed and many fascinating results established for classical orthogonal polynomials have been extended to orthogonal matrix special polynomials [9,10]. The introduction of the Gould-Hopper matrix polynomials (GHMaP) gmn(x,y;A,B) is very much captivating because of their intrinsic mathematical importance. The GHMaP gmn(x,y;A,B) possess the following generating function [2]:

    n=0gmn(x,y;A,B)tnn!=exp(xt2A)exp(Bytm), (1.7)

    where A,B are matrices in CN×N, such that A is positive stable and m is a positive integer and specified by the following series expansion:

    gmn(x,y;A,B)=[nm]k=0n!(2A)nmkBk(nmk)!k!xnmkyk. (1.8)

    The special matrix polynomials are very essential as they turn out in matrix expansion problems, representation and prediction theory and in the matrix quadrature integration problems, see for instance [7,8,13]. The matrix polynomials have connection and applications in spectral analysis [12] and scattering theory [11].

    Doing some calculations, we find that GHMaP gmn(x,y;A,B) are quasi-monomial [3,4,18] under the action of the following multiplicative and derivative operators:

    ˆMg=x2A+mBy(2A)(m1)m1xm1 (1.9)

    and

    ˆPg=(2A)1ˆDx, (1.10)

    respectively.

    Many enthralling results for special polynomials must be determined in view of operational rules related to the appropriate multiplicative and derivative operators. The principle of quasi-monomiality are exploited to investigate the properties of new families of special polynomials [1]. A family of hybrid polynomials reveals a nature lying between two polynomials families which are constructed by means of appropriate operational rules.

    Due to significance of the two variable forms of special matrix polynomials in various fields of mathematics and engineering, here in this article, we introduce certain mixed type special matrix functions. In Section 2, the Gould-Hopper matrix polynomials combined with the Bessel functions and Tricomi functions respectively, to construct the new class of hybrid matrix functions. The generating functions and operational representations for the Gould-Hopper-Bessel matrix functions and Gould-Hopper-Tricomi matrix functions are established. In Section 3, the generalized forms of the Gould-Hopper-Bessel matrix functions and Gould-Hopper-Tricomi matrix functions are derived via integral transforms and operational rule.

    First, the generating function of the Gould-Hopper-Bessel matrix functions (GHBMaF) gJmn(x,y;A,B) is obtained by proving the following result:

    Theorem 2.1. For the Gould-Hopper-Bessel matrix functions gJmn(x,y;A,B), the following generating function holds true:

    exp(x2A2(t1t)+By2m(t1t)m)=n=gJmn(x,y;A,B)tn. (2.1)

    Proof. Replacing x by multiplicative operator ˆMg of the Gould-Hopper matrix polynomials gmn(x,y;A,B) in Eq (1.1) and denoting the resultant Gould-Hopper-Bessel matrix functions in the r.h.s by gJmn(x,y;A,B), it follows that

    exp(^Mg2(t1t))=n=gJmn(x,y;A,B)tn.
    exp((x2A+mBy(2A)(m1)m1xm1)12(t1t))=n=gJmn(x,y;A,B)tn. (2.2)

    Using Crofton-type identity [5,p. 12]:

    f(x+mλdm1dxm1){1}=exp(λdmdxm){f(x)}, (2.3)

    in the l.h.s. of Eq (2.2), we get

    exp(By(2A)mmxm)exp(x2A2(t1t))=n=gJmn(x,y;A,B)tn,

    which on simplification yields assertion (2.1).

    Remark 2.1. Taking y=0 in generating Eq (2.1), we get

    gJmn(x,0;A,B)=Jn(x2A), (2.4)

    which on taking A=12I reduces to the Bessel function Jn(x).

    Remark 2.2. On differentiating generating function (2.1) with respect to x, the following differential recurrence relation for Gould-Hopper-Bessel matrix functions gJmn(x,y;A,B) holds true:

    2xgJmn(x,y;A,B)=2A(gJmn1(x,y;A,B)gJmn+1(x,y;A,B)). (2.5)

    The operational representation for the GHBMaF gJmn(x,y;A,B) is obtained in the following theorem:

    Theorem 2.2. The following operational representation for the Gould-Hopper-Bessel matrix functions gJmn(x,y;A,B) holds true:

    gJmn(x,y;A,B)=exp(yB(2A)mmxm)Jn(x2A). (2.6)

    Proof. In view of generating relation (2.1), we can write

    mxm(2A)mBgJmn(x,y;A,B)=ygJmn(x,y;A,B). (2.7)

    Solving Eq (2.7) along with initial condition (2.4), assertion (2.6) is proved.

    Lemma 2.3. The following connection formulae for the Gould-Hopper-Bessel matrix functions gJmn(x,y;A,B) hold true:

    gJmn(x1+x2,y;A,B)=l=gJmnl(x1,y;A,B)Jl(x22A) (2.8)
    gJmn(x1x2,y;A,B)=l=(1)lgJmnl(x1,y;A,B)Jl(x22A) (2.9)
    gJmn(x1+x2,y1+y2;A,B)=l=gJmnl(x1,y1;A,B)gJml(x2,y2;A,B). (2.10)

    Proof. Replacing x by x1+x2 in generating Eq (2.1), it follows that

    exp(x12A2(t1t)+By2m(t1t)m)exp(x22A2(t1t))=n=gJmn(x1+x2,y;A,B)tn, (2.11)

    which on making use of Eqs (1.1) and (2.1) and comparison of coefficients of same powers of t in both sides of the obtained relation gives assertion (2.8).

    Next, replacing x by x1x2 in generating Eq (2.1) and proceeding same as above, assertion (2.9) follows. Again, replacing x by x1+x2 and y by y1+y2 in generating Eq (2.1) and proceeding same as above, assertion (2.10) is proved.

    Remark 2.3. Taking t=exp(iϕ) in generating Eq (2.1), the following Jacobi-Anger type expansion of the GHBMaF gJmn(x,y;A,B) is obtained:

    exp(x2A(isinϕ)+By(isinϕ)m)=n=gJmn(x1+x2,y;A,B)exp(inϕ), (2.12)

    which can takes the form

    cosα+isinα=n=gJmn(x1+x2,y;A,B)exp(inϕ), (2.13)

    where α=x2Asinϕ+Byim1sinmϕ. Also, we have

    cosα=n=gJmn(x,y;A,B)(cosnϕ), (2.14)
    sinα=n=gJmn(x,y;A,B)(sinnϕ). (2.15)

    The Jacobi-Anger expansion is useful in physics (in conversion of plane waves and the cylindrical waves) and in signal processing (to describe frequency modulation signals).

    Next, the generating function of the GHTMaF gCmn(x,y;A,B) is obtained by proving the following result:

    Theorem 2.4. The Gould-Hopper-Tricomi matrix functions gCmn(x,y;A,B) are specified by the following generating function:

    exp(tx2At+By(t)m)=n=gCmn(x,y;A,B)tn. (2.16)

    Proof. Replacing x by multiplicative operator ˆMg of the Gould-Hopper matrix polynomials gmn(x,y;A,B) in generating relation (1.6) and denoting the resultant GHTMaF in the r.h.s by gCmn(x,y;A,B), it follows that

    exp(t^Mgt)=n=gCmn(x,y;A,B)tn.
    exp(t(x2A+mBy(2A)(m1)m1xm1)1(t))=n=gCmn(x,y;A,B)tn, (2.17)

    which on using the Crofton-type identity proves assertion (2.16).

    Remark 2.4. Taking y=0 in generating Eq (2.16), we get

    gCmn(x,0;A,B)=Cn(x2A), (2.18)

    which on taking A=12I reduces to the Tricomi function Cn(x).

    The series representation for the GHTMaF gCmn(x,y;A,B) is obtained by proving the following result:

    Theorem 2.5. For the Gould-Hopper-Tricomi matrix functions gCmn(x,y;A,B), the following series expansion holds true:

    gCmn(x,y;A,B)=k=0[km]l=0(x2A)kml(By)l(1)k(kml)!l!(n+k)!. (2.19)

    Proof. Using Eq (1.7) in generating relation (2.16), we find

    (n=0tnn!)(k=0gmk(x,y;A,B)1(t)kk!)=n=gCmn(x,y;A,B)tn.

    Comparing the coefficients of identical powers of t and on using relation (1.8), we get assertion (2.19).

    The operational representations for the GHTMaF gCmn(x,y;A,B) are obtained by proving the following results:

    Theorem 2.6. For the Gould-Hopper-Tricomi matrix functions gCmn(x,y;A,B), the following operational representation holds true:

    gCmn(x,y;A,B)=exp(yB(2A)mmxm)Cn(x2A). (2.20)

    Proof. Differentiating generating relation (2.16) w.r.t. x and y respectively, we find

    mxm(2A)mBgCmn(x,y;A,B)=ygCmn(x,y;A,B). (2.21)

    Solving Eq (2.21) along with initial condition (2.18), assertion (2.20) follows.

    An immediate consequence of Theorem 2.6 is given in the form of the following result:

    Corollary 2.1. The following operational representation between two forms of the Gould-Hopper-Tricomi matrix functions gCmn(x,y;A,B) holds true:

    gCmn(x,y+z;A,B)=exp(zB(2A)mmxm)gCmn(x,y;A,B). (2.22)

    Lemma 2.7. The Gould-Hopper-Tricomi matrix functions gCmn(x,y;A,B) satisfies the following recurrence relation:

    gCmn+1(x,y;A,B)=1n+1(gCmn(x,y;A,B)+x2AgCmn+2(x,y;A,B)mBygCmn+m1(x,y;A,B)). (2.23)

    Proof. Differentiating generating relation (2.16) w.r.t. t and equating the coefficients of same powers of t in both sides, we get assertion (2.23).

    In the next section, generalized form of the GHBMaF gJmn(x,y;A,B) and GHTMaF gCmn(x,y;A,B) are introduced by making use of integral transform and their properties are established.

    In recent years, the generalized and many-variable special functions have witnessed a significant evolution. These functions are proved to be very significant in purely mathematical and applied frameworks. The combined use of integral transforms and special polynomials imparts a powerful technique to deal with fractional derivatives, see for example [1,6]. To detect the operational rule and generating relations for the generalized form of special polynomials, Dattoli and co-authors used the Euler's integral in [6]. The Euler's integral is given by [17,p.218]:

    aν=1Γ(ν)0tν1eatdt,min{Re(ν),Re(a)}0, (3.1)

    which consequently yields the following [6]:

    (αx)νf(x)=1Γ(ν)0tν1eαtf(x+t)dt. (3.2)

    In order to introduce the generalized form of the GHBMaF gJmn(x,y;A,B), we give the following definition:

    Definition 3.1. The following operational rule for the generalized Gould-Hopper-Bessel matrix functions gJmn,ν(x,y;A,B;α) holds true:

    (αyB(2A)mmxm)νJn(x2A)=gJmn,ν(x,y;A,B;α). (3.3)

    Theorem 3.1. The following integral representation for the generalized Gould-Hopper-Bessel matrix functions gJmn,ν(x,y;A,B;α) holds true:

    gJmn,ν(x,y;A,B;α)=1Γ(ν)0eαttν1gJmn(x,yt;A,B)dt. (3.4)

    Proof. Replacing a by (αyB(2A)mmxm) in relation (3.1) and then operating the resultant equation on Jn(x2A), it follows that

    (αyB(2A)mmxm)νJn(x2A)=1Γ(ν)0eαttν1exp(yBt(2A)mmxm)Jn(x2A)dt, (3.5)

    which on using Eq (2.6) gives

    (αyB(2A)mmxm)νJn(x2A)=1Γ(ν)0eαttν1gJmn(x,yt;A,B)dt. (3.6)

    Indicating the transform on the r.h.s of Eq (3.6) by a new class of the generalized Gould-Hopper-Bessel matrix functions (gGHBMaF), denoted by gJmn,ν(x,y;A,B;α), we are led to assertion (3.4).

    Next, the generating function of the gGHBMaF gJmn,ν(x,y;A,B;α) is obtained by proving the following theorem:

    Theorem 3.2. The following generating function for the generalized Gould-Hopper-Bessel matrix functions gJmn,ν(x,y;A,B;α) holds true:

    exp(x2A(u1u))(αBy2m(u1u)m)ν=n=gJmn,ν(x,y;A,B;α)un. (3.7)

    Proof. Multiplying both sides of Eq (3.4) by un and summing over n, we find

    n=gJmn,ν(x,y;A,B;α)un=n=1Γ(ν)0eαttν1gJmn(x,yt;A,B)undt, (3.8)

    which on using Eq (2.1) in the r.h.s. gives

    n=gJmn,ν(x,y;A,B;α)un=exp(x2A2(u1u))Γ(ν)0exp(Byt2m(u1u))eαttν1dt. (3.9)

    Using Eq (3.1) in the r.h.s. of above equation, we get assertion (3.7).

    Differentiating generating function (3.7) w.r.t. α and x respectively, the following matrix recurrence relations for the generalized Gould-Hopper-Bessel matrix functions gJmn,ν(x,y;A,B;α) are obtained:

    αgJmn,ν(x,y;A,B;α)=νgJmn,ν+1(x,y;A,B;α) (3.10)

    and

    2xgJmn,ν(x,y;A,B;α)=2A(gJmn1,ν(x,y;A,B;α)gJmn+1,ν(x,y;A,B;α)). (3.11)

    Remark 3.1. For α=1, ν=1 and y=D1y, the generalized Gould-Hopper-Bessel matrix functions gJmn,ν(x,y;A,B;α) reduce to the Gould-Hopper-Bessel matrix functions gJmn(x,y;A,B).

    Next, the operational rule, generating function and recurrence relation for the gGHTMaF gCmn,ν(x,y;A,B;α) are obtained. First, we give the following definition:

    Definition 3.2. The following operational rule for the generalized Gould-Hopper-Tricomi matrix functions gCmn,ν(x,y;A,B;α) holds:

    (αyB(2A)mmxm)νCn(x2A)=gCmn,ν(x,y;A,B;α). (3.12)

    Theorem 3.3. The following integral representation for the generalized Gould-Hopper-Tricomi matrix functions gCmn,ν(x,y;A,B;α) holds:

    gCmn,ν(x,y;A,B;α)=1Γ(ν)0eαttν1gCmn(x,yt;A,B)dt. (3.13)

    Proof. Replacing a by (αyB(2A)mmxm) in relation (3.1) and then operating the resultant equation on Cn(x2A), it follows that

    (αyB(2A)mmxm)νCn(x2A)=1Γ(ν)0eαttν1exp(yBt(2A)mmxm)Cn(x2A)dt, (3.14)

    which on using Eq (2.20) gives

    (αyB(2A)mmxm)νCn(x2A)=1Γ(ν)0eαttν1gCmn(x,yt;A,B)dt. (3.15)

    Indicating the transform on the r.h.s of Eq (3.15) by a new class of the generalized Gould-Hopper-Tricomi matrix functions (gGHTMaF), denoted by gCmn,ν(x,y;A,B;α), assertion (3.13) is proved.

    Next, the generating function of the gGHTMaF gCmn,ν(x,y;A,B;α) is obtained by proving the following theorem:

    Theorem 3.4. The following generating function for the generalized Gould-Hopper-Tricomi matrix functions gCmn,ν(x,y;A,B;α) holds:

    exp(ux2Au)(αBy(u)m)ν=n=gCmn,ν(x,y;A,B;α)un. (3.16)

    Proof. Multiplying both sides of Eq (3.13) by un and summing over n, we find

    n=gCmn,ν(x,y;A,B;α)un=n=1Γ(ν)0eαttν1gCmn(x,yt;A,B)undt, (3.17)

    which on using Eq (2.16) in the r.h.s. gives

    n=gCmn,ν(x,y;A,B;α)un=exp(ux2Au)Γ(ν)0exp(Byt(u)m)eαttν1dt. (3.18)

    Using Eq (3.1) in the r.h.s. of Eq (3.18), we get assertion (3.16).

    Corollary 3.1. Differentiating generating function (3.16) w.r.t. α, the following differential recurrence relation for the generalized Gould-Hopper-Tricomi matrix functions gCmn,ν(x,y;A,B;α) holds true:

    αgCmn,ν(x,y;A,B;α)=νgCmn,ν+1(x,y;A,B;α) (3.19)

    Remark 3.2. For α=1, ν=1 and y=D1y, the generalized Gould-Hopper-Tricomi matrix functions gCmn,ν(x,y;A,B;α) reduce to the Gould-Hopper-Tricomi matrix functions gCmn(x,y;A,B).

    The mixed families of special matrix functions are introduced as discrete convolution of the known special polynomials and these newly introduced polynomials possess the same properties as the parent polynomials or functions. Therefore, the Gould-Hopper-Bessel matrix and Gould-Hopper-Tricomi matrix functions have same properties as the Bessel and Tricomi functions.

    It is known that the Bessel functions arise in astronomical and mechanical problems; the relevant theory is formulated in a coherent and organic body, displaying the wealth of properties and the connections with other special functions [19]. Several problems of chemistry, physics and mechanics are related to the second order matrix differential equations and special matrix polynomials and functions are basically the solutions of several matrix differential equations [13,14,15]. So, the mixed type special matrix functions introduced in this article will perform an indispensable role in the analysis of numerous problems of physics and engineering.

    The significance and applications of mixed special polynomials in mathematical physics and engineering provides motivation to investigate mixed type special matrix functions associated with the Gould-Hopper matrix polynomials. The approach presented in this article is general and imparts a powerful technique for examining the properties of the hybrid special matrix functions and can be extended to establish the properties of other generalized families of special matrix functions.

    This project was funded by the Deanship of Scientific Research (DSR), King Abdulaziz University, Jeddah under grant No. (D-117-130-1441). The authors therefore, gratefully acknowledge DSR technical and financial support.

    The authors are thankful to the Reviewers for several useful comments and suggestions towards the improvement of this paper.

    No conflict of interest was declared by the authors.



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