Research article

Inter-muscular coherence and functional coordination in the human upper extremity after stroke


  • Muscle coordination and motor function of stroke patients are weakened by stroke-related motor impairments. Our earlier studies have determined alterations in inter-muscular coordination patterns (muscle synergies). However, the functional connectivity of these synergistically paired or unpaired muscles is still unclear in stroke patients. The goal of this study is to quantify the alterations of inter-muscular coherence (IMC) among upper extremity muscles that have been shown to be synergistically or non-synergistically activated in stroke survivors. In a three-dimensional isometric force matching task, surface EMG signals are collected from 6 age-matched, neurologically intact healthy subjects and 10 stroke patients, while the target force space is divided into 8 subspaces. According to the results of muscle synergy identification with non-negative matrix factorization algorithm, muscle pairs are classified as synergistic and non-synergistic. In both control and stroke groups, IMC is then calculated for all available muscle pairs. The results show that synergistic muscle pairs have higher coherence in both groups. Furthermore, anterior and middle deltoids, identified as synergistic muscles in both groups, exhibited significantly weaker IMC at alpha band in stroke patients. The anterior and posterior deltoids, identified as synergistic muscles only in stroke patients, revealed significantly higher IMC in stroke group at low gamma band. On the contrary, anterior deltoid and pectoralis major, identified as synergistic muscles in control group only, revealed significantly higher IMC in control group in alpha band. The results of muscle synergy and IMC analyses provide congruent and complementary information for investigating the mechanism that underlies post-stroke motor recovery.

    Citation: Hongming Liu, Yunyuan Gao, Wei Huang, Rihui Li, Michael Houston, Julia S. Benoit, Jinsook Roh, Yingchun Zhang. Inter-muscular coherence and functional coordination in the human upper extremity after stroke[J]. Mathematical Biosciences and Engineering, 2022, 19(5): 4506-4525. doi: 10.3934/mbe.2022208

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  • Muscle coordination and motor function of stroke patients are weakened by stroke-related motor impairments. Our earlier studies have determined alterations in inter-muscular coordination patterns (muscle synergies). However, the functional connectivity of these synergistically paired or unpaired muscles is still unclear in stroke patients. The goal of this study is to quantify the alterations of inter-muscular coherence (IMC) among upper extremity muscles that have been shown to be synergistically or non-synergistically activated in stroke survivors. In a three-dimensional isometric force matching task, surface EMG signals are collected from 6 age-matched, neurologically intact healthy subjects and 10 stroke patients, while the target force space is divided into 8 subspaces. According to the results of muscle synergy identification with non-negative matrix factorization algorithm, muscle pairs are classified as synergistic and non-synergistic. In both control and stroke groups, IMC is then calculated for all available muscle pairs. The results show that synergistic muscle pairs have higher coherence in both groups. Furthermore, anterior and middle deltoids, identified as synergistic muscles in both groups, exhibited significantly weaker IMC at alpha band in stroke patients. The anterior and posterior deltoids, identified as synergistic muscles only in stroke patients, revealed significantly higher IMC in stroke group at low gamma band. On the contrary, anterior deltoid and pectoralis major, identified as synergistic muscles in control group only, revealed significantly higher IMC in control group in alpha band. The results of muscle synergy and IMC analyses provide congruent and complementary information for investigating the mechanism that underlies post-stroke motor recovery.



    The stability problem for the functional equation was conjectured by Ulam [1] in 1940. In the following year, Hyers [2] presented a partial answer for the case of the additive mapping in this problem: If f satisfies |f(x+y)f(x)f(y)|ε for some fixed ε>0, then there is an additive mapping g satisfying g(x+y)=g(x)+g(y) and |f(x)g(x)|ε, which is called the Hyers-Ulam stability.

    Baker et al. [3] announced, in 1979, the new concept for the superstability as follows: If f satisfies |f(x+y)f(x)f(y)|ε for some fixed ε>0, then either f is bounded or f satisfies the exponential functional equation f(x+y)=f(x)f(y).

    Baker [4] showed the superstability of the cosine (also called d'Alembert) functional equation

    f(x+y)+f(xy)=2f(x)f(y). (C)

    The cosine (d'Alembert) functional equation (C) was generalized to the following:

    f(x+y)+f(xy)=2f(x)g(y), (W)
    f(x+y)+f(xy)=2g(x)f(y), (Kgf)
    f(x+y)f(xy)=2f(x)f(y), (T)
    f(x+y)f(xy)=2g(x)f(y), (Tgf)
    f(x+y)f(xy)=2g(x)g(y), (Tgg)
    f(x+y)f(xy)=2g(x)h(y), (Tgh)

    in which (W) is called the Wilson equation, (Kgf) is called the Kim's equation and remaining equations are raised in Kim's papers [5,6,7].

    The superstability of the trigonometric (cosine (C), Wilson (W), Kim ((Kgf), (T), (Tgf) and (Tgh)) functional equations were founded in Badora [8], Badora and Ger [9], Kannappan and Kim [10], Kim and Dragomir [11], Kim [5,6,7] and in papers [13,14,15].

    In 1983, Cholewa [16] proved the superstability of the sine functional equation

    f(x+y2)2f(xy2)2=f(x)f(y) (S)

    under the stability inequality bounded by constant. This was improved to the condition bounded by a function in Badora and Ger [9]. Their results were also further improved later by Kim [17,18], who obtained the superstability under the assumption that the stability inequality is bounded by a constant or a function for the generalized sine functional equations:

    f(x+y2)2f(xy2)2=f(x)g(y), (Sfg)
    f(x+y2)2f(xy2)2=g(x)f(y), (Sgf)
    f(x+y2)2f(xy2)2=g(x)g(y), (Sgg)
    f(x+y2)2f(xy2)2=g(x)h(y). (Sgh)

    In 2009, Eshaghi Gordji and Parviz [19] introduced the quadratic-radical functional equation

    f(x2+y2)=f(x)+f(y). (R)

    related to the additive mapping and proved its stability.

    Recently, Almahalebi et al. [20], Kim [21,22] obtained the superstability of p-radical functional equations in relation with Wilson (W), Kim ((Kgf), (Tgf) and (Tgh)). In the concept of the p-radical, the sine functional equation (S) and (S)-type's equations (Sfg), (Sgf), (Sgg), (Sgh) are expressed as follows:

    f(pxp+yp2)2f(pxpyp2)2=f(x)f(y), (Sr)
    f(pxp+yp2)2f(pxpyp2)2=f(x)g(y), (Srfg)
    f(pxp+yp2)2f(pxpyp2)2=g(x)f(y), (Srgf)
    f(px2+y22)2f(px2y22)2=g(x)g(y), (Srgg)
    f(pxp+yp2)2f(pxpyp2)2=g(x)h(y). (Srgh)

    In the above, letting f(x)=F(xp), then F satisfies (S)-type equations. Hence, in this paper, they will be reasonably called the p-power-radical equation. Since the function f(x)=sinxp is the solution of the equation (Sr), it will be called the p-power-radical sine functional equation.

    Our aim of this paper is to find solutions and to investigate the superstability bounded by a function (Gǎvruta sense) for the p-power-radical sine functional equation (Sr) from an approximation of the p-power-radical functional equation (Srgh).

    As a corollary, we obtain the superstability bounded by a constant and a function for the p-power-radical sine functional equation (Sr) from an approximation of the p-power-radical functional equations (Sr), (Srgf), (Srfg), (Srgg). Moreover, the obtained results are extended to Banach algebras.

    In this paper, let R be the field of real numbers, R+=[0,) and C be the field of complex numbers. We assume that f,g,h are nonzero functions, ε is a nonnegative real number, φ:RR+ is a given nonnegative function and p is a positive odd integer.

    Let's recall the trigonometric formula, the p-power-radical functional equation's forms for the functional equations (cosine (d'Alembert) (C), Wilson (W), Kim (Tgf), (Tgg) and (Tgh) are the following:

    f(pxp+yp)+f(pxpyp)=2f(x)f(y), (Cr)
    f(pxp+yp)+f(pxpyp)=2f(x)g(y), (Wr)
    f(pxp+yp)f(pxpyp)=2g(x)f(y), (Trgf)
    f(pxp+yp)f(pxpyp)=2g(x)g(y), (Trgg)
    f(pxp+yp)f(pxpyp)=2g(x)h(y). (Trgh)

    We can confirm that each equation has a solution as follows: (Cr):f(x)=cos(xp), (Wr):f(x)=sin(xp),g(x)=cos(xp),(Trgf):f(x)=sin(xp), g(x)=cos(xp),(Trgg):f(x)=cos(xp), g(x)=isin(xp),(Trgh):f(x)=cos(xp), g(x)=sin(xp),h(x)=sin(xp) .

    In addition, the solution of each equation can also be found in perspective of the hyperbolic function, exponential function and p-power function, simultaneously.

    Letting p = 1 in the above paragraph, we know that each original equation ((C), (W), (Tgf), (Tgg), (Tgh)) has the corresponding solution of the same form, respectively. They also are represented by the hyperbolic function, exponential function and p-power function, simultaneously.

    Now let's consider the functional equations generated by the product of the above equations, then we obtain the target equations: p-power-radical functional equation (Sr) and (Sr)-type's equations (Srfg), (Srgf), (Srgg) and (Srgh).

    1) (Sr) has a solution as the p-power function f(x)=xp:

    f(px+y2)2f(pxy2)2=(x+y2)2(xy2)2=xy=f(px)f(py).

    2) When (Sr) has a solution as the sine function, it also has simultaneously as an exponential solution as follows:

    (12iei(pxp+yp2)p12iei(pxp+yp2)p)2(12iei(pxpyp2)p12iei(pxpyp2)p)2=f(pxp+yp2)2f(pxpyp2)2=sin(xp+yp2)2sin(xpyp2)2=sin(xp)sin(yp)=f(x)f(y)=(eixpeixp2i)(eiypeiyp2i).

    3) When (Sr) has a solution as the hyperbolic sine function, it also has simultaneously as an exponential solution as follows:

    (12e(pxp+yp2)p12e(pxp+yp2)p)2(12e(pxpyp2)p12e(pxpyp2)p)2=f(pxp+yp2)2f(pxpyp2)2=sinh(xp+yp2)2sinh(xpyp2)2=sinh(xp)sinh(yp)=f(x)f(y)=(expexp2)(eypeyp2).

    Although the mentioned all functional equations may have arisen from sine or cosine, as shown in the previous, they have solutions as the p-power, the hyperbolic and the exponential function, simultaneously. Hence, they can be considered as the p-power-radical, the p-power-radical exponential and the p-power-radical hyperbolic functional equation, simultaneously.

    Letting p = 1 in the above items 1), 2) and 3), then (Sr) arrives (S). Hence, based on the above reasons, the Eq (S) well-known as the sine function equation can also be called as the p-power, the exponential and the hyperbolic functional equation, simultaneously.

    In the following lemma, we find the forms of solutions of the p-power-radical functional equations (Srgh), (Srgg), (Srfg).

    Lemma 1. If f,g,h:RC satisfy (Srgh), then, as one of the solutions of (Srgh), f,g,h have the forms f(x)=cos(xp), g(x)=sin(xp) and h(x)=sin(xp) for all xR.

    Proof. For all x,yR,

    (cosxp+yp2)2(cosxpyp2)2=f(pxp+yp2)2f(pxpyp2)2=g(x)h(y)=sin(xp)sin(yp)=sin(xp)(sin(yp)).

    In the next lemma, let's find an exponential solution for (Srfg).

    Lemma 2. If f,g:RC satisfy (Srfg), then, as the solutions of (Srfg), f,g have the following two forms

    (i) f(x)=exp, g(x)=expexp for all xR,

    (ii) f(x)=exp, g(x)=2sinh(xp) for all xR.

    Proof. For all x,yR,

    (exp+yp2)2(expyp2)2=f(pxp+yp2)2f(pxpyp2)2=f(x)g(y)={(i)exp(eypeyp)(ii)exp2sinh(yp).

    In the next lemma, let's find a hyperbolic and trigonometric solution for (Srgg).

    Lemma 3. If f,g:RC satisfy (Srgg), then, as the solutions of (Srgg), f,g have the following two forms

    (i) f(x)=cosh(xp), g(x)=sinh(xp),

    (ii) f(x)=cos(xp), g(x)=isin(xp).

    Proof. For all x,yR,

    (i)(coshxp+yp2)2(coshxpyp2)2=f(pxp+yp2)2f(pxpyp2)2=g(x)g(y)=sinhxpsinhyp.
    (ii)(cosxp+yp2)2(cosxpyp2)2=f(pxp+yp2)2f(pxpyp2)2=g(x)g(y)=isin(xp)isin(yp).

    In Section 3, we study the superstability of the p-power-radical sine functional equation (Sr) from an approximation of the p-power-radical functional equation (Srgh) related to (S).

    Theorem 1. Assume that f,g,h:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2g(x)h(y)|φ(y) (3.1)

    for all x,yR, where p is a positive odd integer.

    Then, either g is bounded or h satisfies (Sr). Moreover, if g satisfies (Cr), then h and g satisfy p-power-radical equation (Trgf): = h(pxp+yp)h(pxpyp)=2g(x)h(y).

    Proof. By putting x=p2x and y=p2y in (3.1), it is written equivalently as

    |f(pxp+yp)2f(pxpyp)2g(p2x)h(p2y)|φ(p2y),x,yR. (3.2)

    Assume that g is unbounded. Then, we can choose a sequence {xn} in R such that

    0|g(p2xn)|,asn. (3.3)

    Taking x=xn in (3.2), we get

    |f(pxpn+yp)2f(pxpnyp)2g(p2xn)h(p2y)|φ(p2y)|g(p2xn)|,

    and by (3.3), we get

    h(p2y)=limnf(pxpn+yp)2f(pxpnyp)2g(p2xn). (3.4)

    Replacing x by p2xpn+xp and p2xpnxp in (3.1), we have

    2φ(y)|g(p2xpn+xp)h(y)f(p2xpn+xp+yp2)2+f(p2xpn+xpyp2)2|+|g(p2xpnxp)h(y)f(p2xpnxp+yp2)2+f(p2xpnxpyp2)2||(g(p2xpn+xp)+g(p2xpnxp))h(y)(f(pxpn+xp+yp2)2f(pxpnxp+yp2)2)+(f(pxpn+xpyp2)2f(pxpnxpyp2)2)| (3.5)

    for all x,yR and nN. Consequently,

    2φ(y)|g(p2xn)||g(p2xpn+xp)+g(p2xpnxp)g(p2xn)h(y)f(pxpn+xp+yp2)2f(pxpnxp+yp2)2g(p2xn)+f(pxpn+xpyp2)2f(pxpnxpyp2)2g(p2xn)| (3.6)

    for all x,yR and nN. Taking n in (3.6) and using (3.3) and (3.4), we reach a conclusion that, for every xR, there exists the limit function

    L1(x):=limng(p2xpn+xp)+g(p2xpnxp)g(p2xn),

    where L1:RC satisfies the equation as even

    h(pxp+yp)h(pxpyp)=L1(x)h(y),x,yR. (3.7)

    From the definition of L1, we obtain the equality L1(0)=2, which, jointly with (3.7), indicates that h is odd. Keeping this in mind, through (3.7), we deduce the equality

    h(pxp+yp)2h(pxpyp)2=[h(pxp+yp)+h(pxpyp)]L1(x)h(y)=[h(p2xp+yp)+h(p2xpyp)]h(y)=[h(pyp+2xp)h(pyp2xp)]h(y)=L1(y)h(p2x)h(y). (3.8)

    The oddness of h imposes it to vanish at 0. Putting x=y in (3.7), we conclude with the previous result that

    h(p2y)=h(y)L1(y). (3.9)

    The (3.8) by (3.9) arrives to the equation

    h(pxp+yp)2h(pxpyp)2=h(p2x)h(p2y),

    for all x,yR, which, with p2-divisibility of R, states conclusively (Sr).

    In addition, if g satisfies (Cr) and L1 forces 2g, then (3.7) forces that h and g satisfy (Trgf).

    Theorem 2. Suppose that f,g,h:RC satisfy

    |f(pxp+yp2)2f(pxpyp2)2g(x)h(y)|φ(x),x,yR, (3.10)

    which satisfies one of two cases g(0)=0, f(x)2=f(x)2, where p is a positive odd integer.

    Then, either h is bounded or g satisfies (Sr). In addition, if h satisfies (Cr), then g and h satisfy the p-power-radical Wilson type equation (Wr): = g(pxp+yp)+g(pxpyp)=2g(x)h(y).

    Proof. Let h be unbounded, then we can select a sequence {yn} in R such that h(p2yn)| as n. With a minor change of the steps shown in the start part of the proof in Theorem 1, we can get

    g(p2x)=limnf(pxp+ypn)2f(pxpypn)2h(p2yn). (3.11)

    Replacing y by pyp+2ypn and pyp+2ypn in (3.10), the same procedure of (3.5) and (3.6) allows, with (3.11), use to argue the existence of a limit function

    L2(y):=limnh(pyp+2ypn)+h(pyp+2ypn)h(p2yn),

    where L2:RC satisfies the equation

    g(pxp+yp)+g(pxpyp)=g(x)L2(y),x,yR. (3.12)

    Hence, from the definition of L2, L2 is even and L2(0)=2.

    Let's start with the case g(0)=0. Then it leads to the conclusion, by (3.12), that g is odd.

    Putting y=x in (3.12), we obtain

    g(p2x)=g(x)L2(x),x,R. (3.13)

    From (3.12), the oddness of g and (3.13), we obtain the equation

    g(pxp+yp)2g(pxpyp)2=g(x)L2(y)[g(pxp+yp)g(pxpyp)]=g(x)[g(pxp+2yp)g(pxp2yp)]=g(x)[g(p2yp+xp)+g(p2ypxp)]=g(x)g(p2y)L2(x)=g(p2x)g(p2y)

    for all x,yR, which, with p2-divisibility of R, states conclusively (Sr).

    Second, let's consider the case f(x)2=f(x)2. in this case, it is sufficient to show that g(0)=0.

    Suppose that it is not the case. Then, without loss of generality, we may assume in following that g(0)=c (constant).

    Taking x=0 in (3.10), from the above assumption, we get the inequality

    |h(y)|φ(0)c,yR.

    The above inequality indicates that h is globally bounded, which is a contradiction due to the assumption of unboundedness. Therefore the claimed g(0)=0 holds, and the proof of the theorem is completed.

    In addition, if h satisfies (Cr) and L2 forces 2h, then (3.12) forces that g and h satisfy (Wr): = g(pxp+yp)+g(pxpyp)=2g(x)h(y).

    The following corollary follows from Theorems 1 and 2, immediately.

    Corollary 1. Assume that f,g,h:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2g(x)h(y)|min{φ(x),φ(y)},x,yR, (3.14)

    where p is a positive odd integer.

    Then

    (i) either g is bounded or h satisfies (Sr). Moreover, if g satisfies (Cr), then h and g satisfy (Trgf): = h(pxp+yp)h(pxpyp)=g(x)h(y).

    (ii) either h is bounded, or g satisfies (Sr) under g(0)=0 or f(x)2=f(x)2. Moreover, if h satisfies (Cr), then g and h satisfy the Wilson equation (Wr): = g(pxp+yp)+g(pxpyp)=2g(x)h(y).

    In this section, as corollaries, we obtain the superstability of the p-power-radical sine functional equation (Sr) from an approximation of (Sr), and (Srgf), (Srfg) and (Srgg). Their proofs follow from Theorems 1 and 2, and Corollary 1.

    Corollary 2. Assume that f,g:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2g(x)g(y)|{(i)φ(y)(ii)φ(x)(iii)min{φ(x),φ(y)}x,yR,

    where p is a positive odd integer.

    Then, either g is bounded or g satisfies (Sr), respectively. In particular, the case (ii) holds under the condition g(0)=0 or f(x)2=f(x)2.

    Corollary 3. Assume that f,g:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2g(x)f(y)|φ(y) (4.1)

    for all x,yR, where p is a positive odd integer.

    Then, either g is bounded or f satisfy (Sr). Moreover, if g satisfies (Cr), f and g satisfy (Trgf): = f(pxp+yp)f(pxpyp)=2g(x)f(y).

    Corollary 4. Assume that f,g:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2g(x)f(y)|φ(x),x,yR (4.2)

    which satisfies one of the cases g(0)=0, f(x)2=f(x)2, where p is a positive odd integer.

    Then, either f is bounded or g satisfies (Sr). Additionally, if f satisfies (Cr), g and f satisfy (Wr): = g(pxp+yp)+g(pxpyp)=2g(x)f(y).

    Corollary 5. Assume that f,g:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2g(x)f(y)|min{φ(x),φ(y)} (4.3)

    for all x,yR, where p is a positive odd integer.

    Then

    (i) either g is bounded or f and g satisfy (Sr), respectively. Additionally, if g satisfies (Cr), then f and g satisfy (Trgf): = f(pxp+yp)f(pxpyp)=2g(x)f(y);

    (ii) either f is bounded or g satisfies (Sr). Additionally, if f satisfies (Cr), then g and f satisfy the Wilson equation (Wr): = g(pxp+yp)+g(pxpyp)=2g(x)f(y).

    Proof. It is sufficient to present that either g is bounded or g satisfies (S). The other cases follow from Corollaries 3 and 4, immediately.

    The inequality (4.3) can also be presented equivalently as

    |f(pxp+yp)2f(pxpyp)2g(p2x)f(p2y)|min{φ(p2x),φ(p2y)},x,yR. (4.4)

    First, if f is bounded, then y0R can be chosen such that f(p2y0)0. From this y0 and (4.4), we get

    |g(p2x)||f(pxp+yp0)2f(pxpyp0)2f(p2y0)||f(pxp+yp0)2f(pxpyp0)2f(p2y0)g(p2x)|min{φ(p2x),φ(p2y0)}f(p2y0)φ(p2y0)f(p2y0).

    Thus, it implies that g is also bounded on R. Namely, since an unboundedness of g exacts it of f, let run along the step of Theorem 2.

    The process of Theorem 2 gives us the limit (3.11), which, since f satisfies (Sr) by Theorem 1, validates

    g(p2x)=f(p2x),xR.

    By the p2-divisibility of R, we obtain g=f. Thus, it is true that g also satisfies (Sr).

    Corollary 6. Assume that f,g:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2f(px)g(py)|φ(y), (4.5)

    where p is a positive odd integer.

    Then, either f is bounded or g satisfies (Sr). Additionally, if f satisfies (Cr), then g and f satisfy (Trgf): = g(pxp+yp)g(pxpyp)=2f(x)g(y).

    Corollary 7. Assume that f,g:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2f(px)g(py)|φ(x),

    where p is a positive odd integer.

    Then, either g is bounded or f satisfies (Sr) under one condition of the cases f(0)=0, f(x)2=f(x)2. In addition, if g satisfies (Cr), then f and g satisfy the Wilson equation (Wr): = f(pxp+yp)+f(pxpyp)=f(x)g(y).

    Corollary 8. Assume that f,g:RC satisfy the inequality

    |f(pxp+yp2)2f(pxpyp2)2f(x)g(y)|min{φ(x),φ(y)}

    for all x,yR, where p is a positive odd integer.

    Then

    (i) either f is bounded or g satisfies (Sr). In addition, if f satisfies (Cr), then g and f satisfy (Trgf): = g(pxp+yp)g(pxpyp)=2f(x)g(y);

    (ii) either g is bounded or f and g satisfy (Sr), respectively, under one condition of the cases f(0)=0, f(x)2=f(x)2. In addition, if g satisfies (Cr), then f and g satisfy the Wilson equation (Wr): = f(pxp+yp)+f(pxpyp)=2f(x)g(y).

    As a corollary for all the obtained results, we obtain the superstability of the p-power-radical sine functional equation (Sr).

    Corollary 9. Assume that f:RC satisfies the inequality

    |f(pxp+yp2)2f(pxpyp2)2f(x)f(y)|{(i)φ(y),(ii)φ(x),(iii)min{φ(x),φ(y)},

    where p is a positive odd integer.

    Then, either f is bounded or f satisfies (Sr)

    Proof. Replacing the functions g and h in Theorems 1 and 2 by f, in the case (ii), the assumption f(0)=0 or f(x)2=f(x)2 can be eliminated (see [9, Theorem 5]).

    Remark 1. (i) Applying φ(x)=φ(y)=ε for all results in Sections 3 and 4, then they yield the superstability results bounded by constant (Hyers-sense).

    (ii) Applying 'p=1' to all the p-power-radical functional equations (Sr), (Srgf), (Srfg), (Srgg), (Srgh) in Sections 3 and 4, then they yield the superstability results for all (S)-type functional equations: (S), (Sgf), (Sfg), (Sgg), (Sgh).

    In addition, for all results of the (S)-types obtained above, applying again (i) φ(x)=φ(y)=ε, then they yield the additional results (Hyers-sense) for (S)-types.

    (iii) Many results obtained for the (S)-types and p-power-radical (Sr)-types in (i) and (ii) are found in Cholewa [16], Badora [8], Badora and Ger [9], Kannappan and Kim [10], Kim and Dragomir [11], Kim [18,22] and in papers [8,9,13,14,15].

    All results in Sections 3 and 4 can be expanded to the stability on Banach algebras. The following theorem is based on Theorems 1 and 2, and Corollary 1. The remainder results also are represented as similar type as Theorem 3, respectively, their proofs will skip for the sake of brevity.

    Theorem 3. Let (E,) be a semisimple commutative Banach algebra. Assume that f,g,h:RE satisfy the inequality

    f(pxp+yp2)2f(pxpyp2)2g(x)h(y){(i)φ(y),(ii)φ(x),(iii)min{φ(x),φ(y)},

    where p is a positive odd integer.

    Then, for an arbitrary linear multiplicative functional xE,

    (i) either the superposition xg is bounded or h satisfies (Sr), In addition, if g satisfies (Cr), then h and g satisfy (Trgf): = h(pxp+yp)h(pxpyp)=2g(x)h(y);

    (ii) either the superposition xh under the cases g(0)=0 or f(x)2=f(x)2 is bounded or g satisfies (Sr). In addition, if h satisfies (Cr), then g and h satisfy the Wilson equation (Wr): = g(pxp+yp)+g(pxpyp)=2g(x)h(y);

    (iii) the above (i) and (ii) hold. In addition, if the superposition xg is unbounded, then g satisfies (Sr)

    Proof. (i) Assume that (i) holds and fix arbitrarily a linear multiplicative functional xE. As is well known, we have x=1, whence, for every x,yR, we have

    φ(y)g(x)h(y)f(pxp+yp2)2+f(pxpyp2)2=supy=1|y(g(x)h(y)f(pxp+yp2)2+f(pxpyp2)2)||x(g(x))x(h(y))x(f(pxp+yp2))+x(f(pxpyp2))|,

    which states that the superpositions xg and xh produce a solution of stability inequality (3.1) of Theorem 1. Since, by assumption, the superposition xg is unbounded, an appeal to Theorem 1 forces that the function xh is a solution of (Sr), that is,

    (xh)(pxp+yp2)2(xh)(pxpyp2)2=(xh)(x)(xh)(y). (5.1)

    In other presents, by the linear multiplicativity of x, for all x,yR, the difference DSr:R×RE defined by

    DSr(x,y):=h(pxp+yp2)2h(pxpyp2)2h(x)h(y)

    falls into the kernel of x. Thus, in view of the unrestricted choice of x, we infer that

    DSr(x,y){kerx:x is a multiplicative member of E}

    for all x,yR. Since the space E is a semisimple, {kerx:xE}=0, which means that h satisfies the claimed Eq (Sr).

    In addition, if g satisfies (Cr), then it is trivial that h and g satisfy h(pxp+yp)h(pxpyp)=2g(x)h(y).

    (ii) By assumption, the superposition zh with g(0)=0 or f(x)2=f(x)2 is unbounded, an appeal to Theorem 2 shows that the results hold.

    The superposition xg satisfies (5.1), that is a solution of the Eq (Sr).

    As in (i), a linear multiplicativity of x and semisimplicity imply

    g(pxp+yp2)2g(pxpyp2)2g(x)g(y){kerx:xE}=0,

    which means that g satisfies (Sr). In addition, if h satisfies (Cr), then it is trivial that g and h satisfy g(pxp+yp)+g(pxpyp)=2g(x)h(y).

    (iii) It follows from the above (i) and (ii), and the additional case of (iii) holds by Corollary 1.

    Corollary 10. Let (E,) be a semisimple commutative Banach algebra. Assume that f,g:RE satisfy the inequality

    f(pxp+yp2)2f(pxpyp2)2g(x)g(y){(i)φ(x),(ii)φ(y),(iii)min{φ(x),φ(y)},

    where p is a positive odd integer.

    For an arbitrary linear multiplicative functional xE, either the superposition xg is bounded or g satisfies (Sr). In particular, the case (ii) holds under the condition g(0)=0 or f(x)2=f(x)2.

    Corollary 11. Let (E,) be a semisimple commutative Banach algebra. Assume that f,g:RE satisfy the inequality

    f(pxp+yp2)2f(pxpyp2)2g(x)f(y){(i)φ(x),(ii)φ(y),(iii)min{φ(x),φ(y)},

    where p is a positive odd integer.

    Then, for an arbitrary linear multiplicative functional xE,

    (i) either the superposition xg is bounded or f satisfies (Sr), In addition, if g satisfies (Cr), then f and g satisfy (Trgf);

    (ii) either the superposition xf under the cases g(0)=0 or f(x)2=f(x)2 is bounded or g satisfies (Sr). In addition, if f satisfies (Cr), then g and f satisfy the Wilson equation (Wr);

    (iii) the above (i) and (ii) hold. Also, additionally, if the superposition xg is unbounded, then g satisfies (Sr)

    Corollary 12. Let (E,) be a semisimple commutative Banach algebra. Assume that f,g:RE satisfy the inequality

    f(pxp+yp2)2f(pxpyp2)2f(x)g(y){(i)φ(x),(ii)φ(y),(iii)min{φ(x),φ(y)},

    where p is a positive odd integer.

    Then, for an arbitrary linear multiplicative functional xE,

    (i) either the superposition xf is bounded or g satisfy (Sr). In addition, if f satisfies (Cr), then g and f satisfy (Trgf);

    (ii) either the superposition xg under the cases g(0)=0 or f(x)2=f(x)2 is bounded or f satisfies (Sr). In addition, if g satisfies (Cr), then f and g satisfy (Wr);

    (iii) the above (i) and (ii) hold. Also, additionally, if the superposition xg is unbounded, then g satisfies (Sr),

    Corollary 13. Let (E,) be a semisimple commutative Banach algebra. Assume that f:RE satisfies the inequality

    f(pxp+yp2)2f(pxpyp2)2f(x)f(y){(i)φ(x),(ii)φ(y),(iii)min{φ(x),φ(y)},

    where p is a positive odd integer.

    For an arbitrary linear multiplicative functional xE, either the superposition xf is bounded or f satisfies (Sr).

    Remark 2. Follow (i) and (ii) of Remark 1 for all results in Section 5, namely,

    (i) Apply φ(x)=φ(y)=ε in all results.

    (ii) Apply 'p=1' in all results. Next, apply (i) again in the results.

    Then, a number of the results are found in the same papers in (iii) of Remark 1.

    In this paper, we studied solutions and creating of the p-power-radical functional equations arisen simultaneously from the trigonometric functions, hyperbolic function, exponential function and p-radical function.

    We investigated the superstability bounded by a function (Gǎvruta sense) for the p-power-radical sine functional equation (Sr) from an approximation of the p-power-radical functional equations (Srgh), and (Sr), (Srgf), (Srfg), (Srgg) with p is a positive odd integer. Furthermore, the obtained results extended to Banach algebras. As a result, we have improved the previous stability results for (S)-type functional equations: (S), (Sgf), (Sfg), (Sgg), (Sgh) to that of the p-power-radical equations: (Sr), (Srgf), (Srfg), (Srgg), (Srgh).

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This study was supported by research fund from Chosun University, 2023.

    The authors declare there are no conflicts of interest.



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