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Research article Special Issues

The relationship between macro-socioeconomics determinants and COVID-19 vaccine distribution

  • Received: 09 August 2021 Accepted: 13 September 2021 Published: 18 September 2021
  • Since coronavirus disease 2019 (COVID-19) has continued to spread globally, many countries have started vaccinations at the end of December 2020. This research examines the relationship between COVID-19 vaccine distribution and two macro-socioeconomics measures, including human development index and gross domestic product, among 25 countries for two points in time, including February and August 2021. The COVID-19 dataset is a collection of the COVID-19 data maintained by Our World in Data. It is a daily updated dataset and includes confirmed cases, vaccinations, deaths, and testing data. Ordinary Least Squares was applied to examine how macro-socioeconomic measures predict the distribution of the COVID-19 vaccine over time.

    Results 

    The results indicate that a higher gross domestic product per capita is positively associated with higher COVID-19 vaccine distribution, and this relationship becomes more robust over time. However, some countries may have more successful vaccine distribution results regardless of their gross domestic product. In addition, the result shows human development index does not have a significant relationship with vaccine distribution.

    Conclusion 

    Economic measures may be counted as a more vital indicator for vaccine distribution as they have a more direct relationship distribution with health infrastructure than social measures such as human development index.

    Citation: Ali Roghani. The relationship between macro-socioeconomics determinants and COVID-19 vaccine distribution[J]. AIMS Public Health, 2021, 8(4): 655-664. doi: 10.3934/publichealth.2021052

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  • Since coronavirus disease 2019 (COVID-19) has continued to spread globally, many countries have started vaccinations at the end of December 2020. This research examines the relationship between COVID-19 vaccine distribution and two macro-socioeconomics measures, including human development index and gross domestic product, among 25 countries for two points in time, including February and August 2021. The COVID-19 dataset is a collection of the COVID-19 data maintained by Our World in Data. It is a daily updated dataset and includes confirmed cases, vaccinations, deaths, and testing data. Ordinary Least Squares was applied to examine how macro-socioeconomic measures predict the distribution of the COVID-19 vaccine over time.

    Results 

    The results indicate that a higher gross domestic product per capita is positively associated with higher COVID-19 vaccine distribution, and this relationship becomes more robust over time. However, some countries may have more successful vaccine distribution results regardless of their gross domestic product. In addition, the result shows human development index does not have a significant relationship with vaccine distribution.

    Conclusion 

    Economic measures may be counted as a more vital indicator for vaccine distribution as they have a more direct relationship distribution with health infrastructure than social measures such as human development index.



    1. Introduction

    When a nonlinear evolution equation can be generated from a pair of linear partial differential equations of first order by means of a compatibility condition, the nonlinear evolution equation is said to be Lax integrable and the nonlinear system is called a Lax pair [7,8]. However, if such a pair of equations can be determined, then such objects such as gauge and Darboux transformations as well as an infinite number of conservation laws can be constructed for the equation. Complete integrability is another property associated with such systems. This concept is usually formulated for a distribution on a manifold [9].

    Definition 1. (i) Let m, n be integers with 1mn, then an m-dimensional distribution D on an n-dimensional manifold M is a selection of an m-dimensional subspace Dp of TpM for each pM. The distribution is C if for pM, there exists a neighborhood U of p and m vector fields X1,,Xm on U which span D at each point in U. A vector field is said to lie in the distribution D if XpDp, for each pM. (ii) A C distribution is called involutive, or completely integrable, if [X,Y]D whenever X,YD. (iii) We say D is integrable if for any pM there is a (local) submanifold NM called a (local) integral manifold of D at p containing p whose tangent bundle is exactly D restricted to N.

    An equivalent way of stating this is that a distribution D is completely integrable if through each point pM, there exists an integral manifold whose dimension is equal to the dimension of D. The Frobenius theorem gives the necessary and sufficient condition for the integrability of a distribution. The theorem can be expressed in several different but equivalent forms, in terms of vector fields as well as differential forms.

    The exterior differential version of the Frobenius theorem states that a distribution D is completely integrable if and only if the ideal I(D) generated by D is a closed differential ideal, hence dI(D)I(D). This is a very practical form of the theorem.

    The objective here is to investigate 1+1 dimensional nonlinear evolution equations which possess Lax integrability by means of a geometric approach. It will be seen that the relation between complete and Lax integrability can be formulated in this way when the Lax integrability of the nonlinear evolution equation is given in terms of exterior differential forms [11]. This permits geometric interpretations of the Lax equation to be given. Exterior differential systems also provides an efficient way to formulate the concept of gauge and Darboux transformations for such equations. The terminology nonlinear evolution equation will be understood to signify an equation in one space and one time variable everywhere, that is, in one+one dimensions[2,3,4].


    2. Lax Representations in Two Independent Variables

    Historically in the theory of nonlinear evolution equations of soliton type, it is well known that these equations may be considered as sufficient conditions for the integrability of an eigenvalue problem involving a set of linear partial differential equations which contain the solution of the corresponding evolution equation. As a particular example [5] the integrability of the linear system

    yx=λ+u,yt=uxx+6n+1(u)n+1+μ,

    leads to the nonlinear system

    ut+uxxx+6(u)nux=0.

    If we eliminate u from the pair, it is found that y=y(x,t) satisfies the equation

    yt+yxxx6n+1(λyx)n+1μ=0.

    This is often called the potential equation when λ=μ=0, and is an example of a Bäcklund transformation as well

    The Lax representation of a nonlinear evolution equation in two independent variables considered here is introduced as a matrix system,

    ψx=M(λ)ψ,ψt=N(λ)ψ. (2.1)

    The parameter λ in (2.1) is usually called a spectral parameter, ψ is referred to as an eigenfunction associated with the spectral parameter λ, and M, N are particular matrices whose elements depend on λ. The sizes of the matrices may be left arbitrary for the moment. Collectively (2.1) is referred to as a Lax pair. The nonlinear equation which corresponds to M and N is obtained by differentiating the first equation with respect to t and the second with respect to x and equating the mixed partials of ψ to produce the compatibility condition for (2.1)

    MtNx+[M,N]=0. (2.2)

    The bracket in (2.2) is defined as [M,N]=MNNM.

    To obtain a geometric picture of this type of integrability, define a matrix of one-forms ω as

    ω=Mdx+Ndt. (2.3)

    System (2.1) results as a consequence of the following relation

    σ=dψψω=0. (2.4)

    Exterior differentiation of (2.3) produces the result,

    dσ=dωψ+ωdψ=0. (2.5)

    Solving (2.4) for dψ and putting this in (2.5), we obtain,

    dσ=dωψ+ω(σ+ωψ)=ωσ(dωωω)ψ. (2.6)

    The Frobenius theorem implies system (2.3) is completely integrable if and only if the system of one-forms ω satisfies the condition

    Ω=dωωω=0. (2.7)

    In (2.7), Ω is a square matrix of two-forms usually referred to as the curvature. It is straightforward to verify that (2.7) is equivalent to (2.2). These equations, (2.2) and (2.7), are referred to as zero curvature conditions, and (2.7) is equivalent under (2.3) to the nonlinear evolution equation whose Lax representation is (2.1).

    Theorem 1. The nonlinear evolution equation in (x,t) whose Lax representation is given by (2.1) must be completely integrable.

    Proof: Differentiating the curvature Ω in (2.7) gives

    dΩ=dωω+ωdω=(Ω+ωω)ω+ω(Ω+ωω)
    =Ωω+ωΩ. (2.8)

    Therefore, system (2.7) is completely integrable according to the Frobenius theorem. Hence (2.7) corresponds to the nonlinear evolution equation whose Lax representation is (2.1) as required.

    There is an equivalent approach to the definition of Lax integrability which is discussed now. Let UR2 be coordinatized by x and t and let V=U×RnRn+2 be a fiber bundle with U as the base manifold and U carries coordinates related to a particular nonlinear evolution equation.

    Suppose the equation can be represented by a system of two-forms defined on V. As a specific example, consider the system of two-forms

    α1=dudtpdxdt,
    α2=dpdtqdxdt, (2.9)
    α3=dudx+dqdxudqdt+ududt+β(uq)dudt.

    The parameter β which appears is a constant. If the map s:UV is a cross section of V with the property

    sαi=0, (2.10)

    where the αi are a system of forms such as(2.9), and mapping s denotes the pull-back of s, it can be verified that u(x,t) is a solution of the associated equation. Conversely, for any given solution u(x,t) of the equation, the map s:UV which is given by s(x,t)=(x,t,u(x,t),ux(x,t),) is a cross section of V satisfying sαi=0.

    Differentiating the forms in (2.9) gives

    dα1=dpdxdt=dxα2,
    dα2=dx(α3+u((1+β)uq)α1),
    dα3=(1β)[dqα1+pdtα3pdxα1].

    Clearly, all of the dαj vanish modulo (2.9) so the {αi} represent a closed differential ideal. Sectioning α1 and α2 gives p=ux and q=uxx and the nonlinear equation results from evaluating

    0=α3|s=(utqt+u(uxqx)+β(uq)ux)dxdt.

    These results imply the partial differential equation

    (uq)t+u(uq)x+β(uq)ux=0.

    Introducing ρ=uuxx, then for the case β=3, the Degasperis-Procesi equation results,

    ρt+ρxu+3ρux=0,

    and for β=2, the Camassa-Holm equation appears

    ρt+ρxu+2ρux=0.

    It is important to note that if a set of forms {αi} can be determined which correspond to a particular evolution equation these forms can be used to construct both Lax pairs and Bäcklund transformations for that equation.

    For any nonlinear evolution equation, a corresponding set of two forms can be constructed. In fact, two systems of two-forms {αi} and {βi} are said to be equivalent if one set can be expressed in terms of the other as βi=fjiαj, and the rank of the matrix (fji) is maximal.

    Theorem 2. (Lax Integrability) A nonlinear evolution equation in (x,t) is Lax integrable if and only if there exists a square matrix ω of one-forms in (dx,dt) such that the system (2.7) is equivalent to {αi=0}.

    Proof: Assume the Lax representation for the nonlinear equation is given by (2.1). If ω is defined to be the one-form (2.3), then ω is exactly what is required according to the demonstrated equivalence of relations starting with (2.7) implying (2.2) which then yields the nonlinear evolution equation (2.1) which finally can be put in the equivalent differential form {αi=0}.

    Second suppose the matrix of one-forms is ω, then ω can be identified as a combination of a dx and dt term, so (2.3) holds. Then (M,N) can be identified as the Lax pair demanded by Ω=0.


    3. Prolongation and Differential Systems

    The Prolongation Method emerges in a natural way out of this theory. Prolongations are important for constructing solutions of evolution equations and also for deriving Bäcklund and auto-Bäcklund transformations which transform a solution of an equation into a solution of another or the same equation. The main ideas seem to originate with Wahlquist and Estabrook [10,12,13]. The nonlinear equation with Lax representation given by (2.1) can be replaced by an equivalent system of two-forms {αi=0} defined on the manifold V. Now introduce an additional system of Pfaff forms φi on the vector bundle E=V×Rn which are defined as follows

    φi=dyiFidxGidt.i=1,,n, (3.1)

    The new variables yi are often called pseudopotentials and provide a coordinate system for Rn. The φi are one-forms on E and the Fi, Gi are a set of functions which may depend on all the coordinates of E. The prolongation method requires the ideal which is generated by the system {αi=0,φi=0} to be a closed differential ideal. This will provide constraints which serve to determine the form of the unknown functions Fi and Gi in (3.1). Thus, the prolongation condition has to have the following structure: the derivative of (3.1) must be of the following form,

    dφi=βjiαj+γjiφj,i=1,,n, (3.2)

    where (βji) is a matrix of functions and (γji) is a matrix of one-forms. Formally comparing σ with φi, the pseudo-potentials yi can be identified with the eigenfunction ψ, while Fi, Gi correspond to ω. There is also a formal correspondence between (3.2) and (2.6). Out of this correspondence, it may be seen that the prolongation condition guarantees that (3.1) is completely integrable on the solution manifold {αi=0} of the equation whose Lax representation is (2.1). The Lax system (2.1) for the equation can be obtained with the complete integrability condition, although Lax integrability is a stronger property than complete integrability.

    A geometric interpretation comes directly from differential geometry for the Lax equation (2.4) [1,6]. Assume there is a connection which is defined on the vector bundle E, and the sections e1,,en form a frame of sections of E. By using the frame of sections S=(e1,,en)T and the connection, and n×n connection matrix ω can be defined by the formula

    S=ωS. (3.3)

    Elements of the connection matrix ω has elements which depend on the coordinates of the manifold V. If a section s=ηiei is a parallel section of E with the ηi functions on V, from s=0, the ηi will satisfy the following equations

    dηi+ηjωij=0,i=1,,n. (3.4)

    If we set η=(η1,,ηn), then (3.4) can be put in matrix form as

    dη+ηω=0. (3.5)

    The connection on the vector bundle E induces a connection on the dual vector bundle E=V×(Rn), where (Rn) denotes the dual space of Rn. If a dual frame of sections S=(e1,,en)T of E is established, then ei,ej=δji with , the inner product in the vector bundles E and E. On the dual space, the connection is written S=ωS, so the induced connection matrix on the dual E is ω. If the section s=θiei is a parallel section of E where the θi are functions on V with s=0, then the θi satisfy the equation

    dθiθjωji=0,i=1,,n.

    Defining θ=(θ1,,θn), then this can be put in matrix form is

    dθωθ=0. (3.6)

    Equation (3.6) is exactly Lax equation (2.4), and this Lax equation may be thought of as the parallel section equation on the dual vector bundle E with connection matrix equal to ω=MdxNdt. The eigenfunctions ψ correspond to the vector formed by the coordinates of the parallel section of E under the dual frame of sections of S. Then the equation for Ω represents the curvature matrix where ω plays the role of connection matrix. Pfaff system (2.3) is completely integrable then if and only if curvature matrix Ω vanishes. Also, if the zero curvature condition Ω=0 is satisfied, there exists n linearly independent parallel sections, or alternatively, the Lax equation (2.4) has n linearly independent solutions.


    4. Lax Systems and Gauge Transformations in Terms of Differential Systems

    Consider two Lax systems defined by

    Ψx=MΨ,Ψt=NΨ, (4.1)
    Φx=˜MΦ,Φt=˜NΦ. (4.2)

    If a gauge transformation τ exists such that

    Φ=τΨ, (4.3)

    where τ is a matrix that transforms (4.1) into (4.2), a system of equations satisfied by τ can be obtained. Differentiating (4.3) with respect to x gives

    Φx=τxΨ+τΨx=τxΨ+τMΨ.

    This must be equal to ˜MΦ=˜MτΨ, and so isolating τxΨ

    τxΨ=(˜MττM)Ψ. (4.4)

    This yields an equation for τx. Similarly, evaluating Ψt gives

    τtΨ=(˜NττN)Ψ. (4.5)

    Therefore, the matrix τ satisfies the following system,

    τx=˜MττM,τt=˜NττN. (4.6)

    In fact, system (4.6) can be expressed in the form [10]

    ˜ω=τωτ1+dττ1 (4.7)

    upon noting that ω=Mdx+Ndt and ˜ω=˜Mdx+˜Ndt. Now (4.7) is just the transformation formula for the connection matrix under the transformation of the basis of sections, namely,

    ˜S=τS. (4.8)

    The transformation equation for the curvature matrix is given by

    ˜Ω=τΩτ1, (4.9)

    where Ω and ˜Ω are the respective curvature forms. This can be summarized as the following statement.

    Theorem 3. A nonlinear evolution equation which is Lax integrable is equivalent to the system τΩτ1=0 for some n×n invertible matrix τ whose elements depend on the coordinates of V.

    Proof: If an equation with Lax integrability is equivalent to system (4.9), then the Lax equation corresponding to that equation is d˜ψ=˜ω˜ψ, with ˜ω given by (4.7).

    Conversely, it has been noted that every nonlinear evolution equation with Lax integrability is equivalent to a representative equation under gauge transformation. Therefore, there is an invertible matrix τ such that the given equation is equivalent to the system τΩτ1=0.

    System (4.7) is clearly equivalent to the following Pfaff system

    Θ=dτ˜ωτ+τω=0. (4.10)

    Expanding out (4.10) more fully, it is

    Θ=τxdx+τtdt(˜Mdx+˜Ndt)τ+τ(Mdx+Ndt)=0.

    Theorem 4. Pfaff system (4.10) is completely integrable.

    Proof: Differentiating (4.10), it is found that

    dΘ=d˜ωτ+˜ωdτ+dτω+τdω
    =d˜ωτ+˜ω(Θ+˜ωττω)+(Θ+˜ωττω)ω+τdω
    =d˜ωτ+˜ωΘ+˜ω˜ωτ˜ωτω+Θω+˜ωτωτωω+τdω
    =(d˜ω˜ω˜ω)τ+τ(dωωω)+˜ωΘ+Θω. (4.11)

    Given that Ω=0 and ˜Ω=0, the Frobenius theorem implies Pfaff system (4.11) is completely integrable and moreover,

    dΘ=(˜ωω)Θ. (4.12)

    Theorem 4 says that every nonlinear evolution equation in one+one dimensions with Lax integrability is gauge equivalent to any other. For example, if the KdV equation is taken as a typical representative, assuming the n-dimensional Lax representation for it is dψ=ωψ, the KdV equation is equivalent to Ω=0.

    Theorem 5. The nonlinear equation in (x,t) with Lax integrability is equivalent to the system τΩτ1=0 for some n×n invertible matrix τ whose elements are functions on the manifold V.

    Proof: If a nonlinear equation with Lax integrability is equivalent to the system τΩτ1=0, the Lax equation corresponding to that equation is d˜ψ=˜ω˜ψ, where ˜ω is given by (4.7). Then that nonlinear evolution equation is Lax integrable.

    Conversely, it is known that every nonlinear evolution equation in one+one dimensions with Lax integrability is gauge equivalent to one of the equations, say the representative equation. Thus there is an invertible matrix τ such that the given nonlinear equation with Lax integrability is equivalent to the system τΩτ1=0.

    If two systems Ω=0 and τΩτ1=0 correspond to the same nonlinear evolution equation with Lax integrability, it is said they are equivalent. The set of gauge transformations forms a group referred to as the gauge group. Since these transformations preserve the solution manifold it may also be called the symmetry group.

    Suppose the form ω(λ)=M(λ)dx+N(λ)dt is expanded in powers of λ in the form ω(λ)=mi=0ωiλi, then if S is an n×n matrix independent of λ, ω(S) is defined to be

    ω(S)=mi=0ωiSi. (4.13)

    Theorem 6. If there exists a gauge transformation of the form τ=λIS for the nonlinear evolution equation whose Lax representation is (2.1), then an n×n matrix S independent of the parameter λ must satisfy the following equation

    dS+[S,ω(S)]=0. (4.14)

    Proof: Substitute the forms ω(λ)=mi=0ωiλi and ˜ω(λ)=mi=0˜ωiλi and τ=λIS into Θ from (4.10). Collecting coefficients of the same powers of the spectral parameter λ

    dSmi=1˜ωiλi+1+mi=1˜ωiλiS+mi=0ωiλi+1Smi=0ωiλi=0. (4.15)

    Collecting like powers of λ in (4.15), there results,

    dS+˜ω0SSω0+mi=1(˜ωi1+˜ωiSωi1Sωi)λi+(˜ωm+ωm)λm+1=0. (4.16)

    Equating the coefficients of each power λi to zero, then if i refers to the power on λ, the following system of equations results,

    dS+Sω0˜ω0S=0,i=0,˜ωi1+˜ωiS+ωi1Sωi=0,i=1,,m,
    ˜ωm+ωm=0,i=m+1. (4.17)

    Applying these equations recursively, we can write

    SωjSj1+˜ωjSj=SωjSj1+(ωjSωj+1+˜ωj+1S)Sj
    =SωjSj1+ωjSjSωj+1Sj+˜ωj+1Sj+1=[ωj,S]Sj1Sωj+1Sj+˜ωj+1Sj+1. (4.18)

    Thus iterating (4.18), a relationship between ω0 and ˜ω0 can be obtained,

    ˜ω0=ω0+[ω1,S]Sω2S+˜ω2S2=ω0+[ω1,S]+(ω2SSω2)S+Sω3S2+˜ω3S3
    =ω0+mk=1[ωk,S]Sk1. (4.19)

    Solving for dS from the i=0 equation of (4.17) and substituting ˜ω0 from (4.19), we get

    dS=˜ω0SSω0=ω0SSω0+mk=1[ωk,S]Sk=[S,ω0]mk=1[S,ωk]Sk
    =mk=0[S,ωk]Sk.

    Thus the result is exactly equation (4.14).

    Substituting ω(S)=M(S)dx+N(S)dt into (4.14), it breaks up into two equations as follows,

    Sx+[S,M(S)]=0,St+[S,N(S)]=0. (4.20)

    Theorem 7. System (4.14) is completely integrable if and only if the following equation is satisfied,

    dω(S)ω(S)ω(S)=0, (4.21)

    or equivalently, if and only if

    Mt(S)Nx(S)+[M(S),N(S)]=0. (4.22)

    Proof: Define the Pfaff system ξ to be

    ξ=dS+[S,ω(S)]=dS+[S,M(S)]dx+[S,N(S)]dt=0. (4.23)

    Differentiating ξ

    dξ=[dS,M(S)]dx+[S,Mt(S)Nx(S)]dtdx+[dS,N(S)]dt. (4.24)

    Obtaining dS from (4.23) and replacing it in (4.24) gives,

    dξ=[ξ,M(S)]dx+[ξ,N(S)]dt+[S,Mt(S)Nx(S)]dtdx
    [[S,N(S)],M(S)]dtdx[[S,M(S)],N(S)]dxdt. (4.25)

    Using the Jacobi identity, equation (4.25) simplifies to the form

    dξ=[ξ,M(S)]dx+[ξ,N(S)]dt+[S,Mt(S)Nx(S)+[M(S),N(S)]]dtdx.

    Therefore, by the Frobenius Theorem, the Pfaff system ξ=0 is completely integrable if and only if (4.22) holds.

    Let matrix S be constructed in the following way. Suppose Λ is an n×n matrix formed by putting the n complex parameters λ1,,λn on the main diagonal and zero everywhere else. Then B is an n×n invertible matrix such that B=diag(ψ1,,ψn), where the ψi, i=1,,n satisfy the equations

    dψi=ω(λi)ψi,i=1,,n. (4.26)

    Define the matrix S to be

    S=BΛB1. (4.27)

    Theorem 8. The matrix S from (4.27) satisfies the following relation,

    dSi=ω(S)SiSiω(S). (4.28)

    Proof: Differentiating B, there results

    dB=diag(dψ1,,dψn)=diag(ω(λ1)ψ1,,ω(λn)ψn)
    =diag(mi=1ωiλi1ψ1,,mi=0ωiλinψn)=mi=0ωiBΛi. (4.29)

    This can be used to evaluate dS,

    dS=d(BΛB1)=dBΛB1+BΛdB1=dBΛB1BΛB1dBB1
    =(mi=0ωiBΛi)ΛB1(BΛB1)(mi=0ωiBΛi)B1
    =(mi=0ωiBΛiB1)(BΛB1)(BΛB1)(mi=0ωiBΛiB1)
    =(mi=0ωiSi)SS(mi=0ωiSi)=ω(S)SSω(S). (4.30)

    Differentiating one S at a time sequentially in Si, we obtain

    dSi=dSSi1+SdSSi2++Si1dS. (4.31)

    Substituting dS from (4.30) into each of these terms one after the other, the following system is obtained,

    dSSi1=(ω(S)SSω(S))Si1=ω(S)SiSω(S)Si1,SdSSi2=S(ω(S)SSω(S))Si2=Sω(S)Si1S2ω(S)Si2,Si1dS=Si1(ω(S)SSω(S))=Si1ω(S)SSiω(S).

    Adding these together vertically most terms cancel out, as the sum telescopes, and the result (4.28) follows.

    Theorem 9. Matrix S satisfies the equation

    mi=0dωiSimi=0ωiω(S)Si=0. (4.32)

    Proof: The compatibility condition for the system (2.4) is

    dω(λ)ψω(λ)dψ=0.

    The curvature can be expanded into a series in powers of the spectral parameter λ as

    Ω(λ)=mi=0dωiλimi=0ωiλiω(λ)=0. (4.33)

    Replacing λ by the spectral parameters λ1,,λn one after the other yields the system of equations,

    mi=0dωiλi1=mi=0ωiω(λ1)λi1=mi,j=0ωiωjλi+j1,mi=0dωiλin=mi=0ωiω(λn)λin=mi,j=0ωiωjλi+jn.

    Multiply the j-th equation in this set by ψj, so if B represents the n×n matrix defined above, this system of equations can be written in the following way,

    mi=0dωiBΛi=mi,j=1ωiωjBΛi+j. (4.34)

    Finally, multiply (4.34) from the right on both sides by B1 and use the definition of S in (4.27), and the result follows.

    Theorem 10. Matrix S in (4.27) satisfies the relation

    dω(S)ω(S)ω(S)=0.

    Proof: Differentiating (4.13) and using Theorem 8 to replace dSi, we obtain

    dω(S)=d(mi=0ωiSi)=mi=0dωiSimi=0ωidSi=mi=0dωiSimi=0ωi(ω(S)SiSiω(S))
    =mi=0ωiSiω(S)+[mi=0dωiSimi=0ωiω(S)Si]=ω(S)ω(S).

    In the second line, (4.32) has been used to eliminate the second term in the square brackets to finish the proof.




    Conflict of interest



    The author declares no conflict of interest.

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