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Research article

Rare dizziness, syncope, loss of consciousness, seizure, and risk of falling after vaccination

  • Received: 02 February 2023 Revised: 22 April 2023 Accepted: 22 April 2023 Published: 04 May 2023
  • Some individuals experience dizziness, syncope (temporary loss of consciousness caused by a fall in blood pressure), seizure, and similar rare adverse events after vaccination. Sudden impacts to alertness, consciousness, ability to talk, vision, or balance may pose rare risks for some vaccinees for a few days post vaccination. Herein, the Vaccine Adverse Event Reporting System (VAERS) database is examined for relevant adverse events. These adverse events exhibit a consistent pattern of onset soon after vaccination consistent with other reported reactogenicity adverse events. The onset of these adverse events soon after vaccination provides supportive evidence to reject the hypothesis that the majority of these adverse events represent background occurrences unrelated to vaccination. The immediate onset timing of these adverse events represent a pattern that warrants further study. The observed onset pattern for multiple unrelated vaccines are consistent with the possible etiology of innate immune responses to vaccination as causative for these observed adverse events. Cautionary avoidance of some activities immediately following vaccination may reduce accidental injuries.

    Citation: Darrell O. Ricke. Rare dizziness, syncope, loss of consciousness, seizure, and risk of falling after vaccination[J]. AIMS Allergy and Immunology, 2023, 7(2): 164-175. doi: 10.3934/Allergy.2023011

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  • Some individuals experience dizziness, syncope (temporary loss of consciousness caused by a fall in blood pressure), seizure, and similar rare adverse events after vaccination. Sudden impacts to alertness, consciousness, ability to talk, vision, or balance may pose rare risks for some vaccinees for a few days post vaccination. Herein, the Vaccine Adverse Event Reporting System (VAERS) database is examined for relevant adverse events. These adverse events exhibit a consistent pattern of onset soon after vaccination consistent with other reported reactogenicity adverse events. The onset of these adverse events soon after vaccination provides supportive evidence to reject the hypothesis that the majority of these adverse events represent background occurrences unrelated to vaccination. The immediate onset timing of these adverse events represent a pattern that warrants further study. The observed onset pattern for multiple unrelated vaccines are consistent with the possible etiology of innate immune responses to vaccination as causative for these observed adverse events. Cautionary avoidance of some activities immediately following vaccination may reduce accidental injuries.


    Abbreviations

    COVID-19:

    coronavirus disease 2019; 

    HPV:

    human papillomavirus; 

    mRNA:

    messenger ribonucleic acid; 

    SARS-CoV-2:

    severe acute respiratory syndrome coronavirus 2; 

    TDAP:

    tetanus, diphtheria, and pertussis; 

    VAERS:

    Vaccine Adverse Event Reporting System

    The theory of bifurcations is crucial in understanding qualitative properties of differential systems depending on one or more parameters. Bifurcations of codimension one and two are well-addressed in the literature [1,2,3] when they are non-degenerate, but many open problems emerge when they become degenerate [4] or the codimension is beyond 2.

    The classical normal form of the double-Hopf bifurcation in differential systems of dimension 4 is based on six generic conditions (HH.0)–(HH.5) [1]. Some of the pioneering papers reporting results on non-degenerate double-Hopf bifurcation are references [5,6,7,8].

    If one or more generic conditions fail to be satisfied, a degeneracy arises and, thus, the generic results are not valid anymore. In this work we study two degenerate double-Hopf bifurcations. The degeneracy we refer at is related to generic conditions which are necessary in obtaining normal forms.

    Another added value of our results is that we discovered new bifurcation diagrams and new phase portraits and, thus, new properties of double-Hopf bifurcation which, to our knowledge, were not previously reported in the literature. The results emerged from the analysis of a new system which appeared due to degeneracy.

    Our study is performed in a general framework and produces generic results which can be applied in particular systems exhibiting this bifurcation. The double-Hopf bifurcation (degenerate or not) can be often met in practical models based on differential systems and having a large number of equations (at least four) [4,9,10,11,12]. Interesting results on discrete time systems undergoing double-Hopf bifurcations are presented in [11]. Thus, understanding better this bifurcation and obtaining new generic properties of it is desirable and important for particular models describing real-world phenomena. This is the purpose of the present work.

    The paper is organized as follows. In Section 2 the classical normal form obtained in [1] using six generic conditions (HH.0)–(HH.5) is presented and a new normal form up to order 3 in polar coordinates is obtained as two of the generic conditions, namely (HH.1) and (HH.3) fail. In Section 3, the dynamics and bifurcation of this normal form, around the origin, is analyzed as the condition (HH.3) is not satisfied, but (HH.1) is valid, while in Section 4 a similar study is done when the condition (HH.1) is not fulfilled, but (HH.3) is satisfied. In Section 5 some conclusions and the relationship between the dynamics of the 2D amplitude system and the dynamics of the 4D truncated normal form are given.

    Consider a differential system of the form

    ˙x=f(x,α),   xR4,   α=(α1,α2)R2, (2.1)

    with f smooth, ˙x=dxdt, and assume that x=0 is an equilibrium point of the system for all α with |α|=α21+α21 small enough, that is, f(0,α)0; x=0 stands for x=(0,0,0,0) and α=0 for α=(0,0). The system (2.1) can be written as

    ˙x=A(α)x+F(x,α) (2.2)

    where F(x,α)=O(|x|2) is a smooth function denoting Taylor rest with terms of order at least 2.

    Assume the matrix A(α) has two pairs of simple complex-conjugate eigenvalues λ1, ¯λ1, λ2, ¯λ2,

    λ1(α)=μ1(α)+iω1(α),   λ2(α)=μ2(α)+iω2(α)

    for all sufficiently small |α|, where μ1,2(α) and ω1,2(α) are smooth functions of α such that μ1(0)=μ2(0)=0, respectively, ω1(0)=ω10>0 and ω2(0)=ω20>0. When these conditions are satisfied, the origin of system (2.1) is called a double-Hopf or Hopf-Hopf singularity, and, under supplementary conditions, a double-Hopf bifurcation occurs at α=0.

    In complex coordinates, the system (2.2) can be further reduced to the form

    {˙z1=λ1(α)z1+g(z1,¯z1,z2,¯z2,α)˙z2=λ2(α)z2+h(z1,¯z1,z2,¯z2,α) (2.3)

    where

    g(z1,¯z1,z2,¯z2,α)=j+k+l+m2gjklm(α)zj1¯zk1zl2¯zm2

    and

    h(z1,¯z1,z2,¯z2,α)=j+k+l+m2hjklm(α)zj1¯zk1zl2¯zm2.

    Other two equations are the conjugates of system (2.3) and are omitted in what follows.

    A first normal form corresponding to system(2.3) is described in the following lemma, reported in [1].

    Lemma 2.1. Assume that the following conditions take place [1]

    (HH.0)kω10lω20,   k,l>0,   k+l5.

    Then, there exists a locally defined, smooth and smoothlyparameter-dependent, invertible transformation of the complex variables thatreduces system (2.3) for all sufficiently small |α| into the following form:

    {˙w1=λ1w1+w1|w1|2(a1+ib1)+w1|w2|2(a2+ib2)+w1|w1|4(a3+ib3)+w1|w1|2|w2|2(a4+ib4)+w1|w2|4(a5+ib5)+O((w1,¯w1,w2,¯w2)6)˙w2=λ2w2+w2|w1|2(c1+id1)+w2|w2|2(c2+id2)+w2|w1|4(c3+id3)+w2|w1|2|w2|2(c4+id4)+w2|w2|4(c5+id5)+O((w1,¯w1,w2,¯w2)6) (2.4)

    where w1,2 are complex-valued functions, (w1,¯w1,w2,¯w2)2=|w1|2+|w2|2.

    In system (2.4) we used the following notations: a1+ib1=G2100(α), a2+ib2=G1011(α), a3+ib3=G3200(α), a4+ib4=G2111(α) and a5+ib5=G1022(α), respectively, c1+id1=H1110(α), c2+id2=H0021(α), c3+id3=H2210(α), c4+id4=H1121(α) and c5+id5=H0032(α), where ai=ai(α), bi=bi(α), ci=ci(α) and di=di(α), i=¯1,5, are real smooth functions of α which depend on the coefficients gijkl(α) and hijkl(α). The coefficients of third order terms in system (2.4) are given explicitly in [1].

    The system (2.4) has been transformed further in [1] to a normal form based on six generic conditions.

    In polar coordinates w1=r1eiφ1 and w2=r2eiφ2, the system (2.4) becomes

    {˙r1=r1(μ1+a1r21+a2r22+a3r41+a4r21r22+a5r42)+Φ1(r1,r2,φ1,φ2,α)˙r2=r2(μ2+c1r21+c2r22+c3r41+c4r21r22+c5r42)+Φ2(r1,r2,φ1,φ2,α)˙φ1=ω1+Ψ1(r1,r2,φ1,φ2,α)˙φ2=ω2+Ψ2(r1,r2,φ1,φ2,α), (2.5)

    where the real functions Φk, Ψk are smooth functions of their arguments and are 2π-periodic in φj, Φk=O((r21+r22)3), Ψk(0,0,φ1,φ2)=0.

    The main dynamics of the system (2.5) is given by its first two equations

    {˙r1=r1(μ1+a1r21+a2r22+a3r41+a4r21r22+a5r42)+O((r21+r22)3)˙r2=r2(μ2+c1r21+c2r22+c3r41+c4r21r22+c5r42)+O((r21+r22)3), (2.6)

    the other two describing only the rate of rotation of an orbit, and, because ω1,2(0)0, they can be approximated by

    ˙φ1=ω10,  ˙φ2=ω20.

    Changing to ρi=r2i, i=1,2, and truncating the higher order terms, system (2.6) leads to the planar system

    {˙ρ1=2ρ1(μ1+a1ρ1+a2ρ2+a3ρ21+a4ρ1ρ2+a5ρ22)˙ρ2=2ρ2(μ2+c1ρ1+c2ρ2+c3ρ21+c4ρ1ρ2+c5ρ22), (2.7)

    referred as the amplitude equations; ˙ρi=dρidt, i=1,2.

    In the hypotheses

    (HH.0)kω1(0)lω2(0),   k,l>0,   k+l5;(HH.1)p11(0)=Re(G2100(0))0;(HH.2)p12(0)=Re(G1011(0))0;(HH.3)p21(0)=Re(H1110(0))0;(HH.4)p22(0)=Re(H0021(0))0;(HH.5)themapαμ(α)isregularatα=0, (2.8)

    in [1], the system (2.4) has been transformed further into the following normal form

    {˙r1=r1(μ1+p11r21+p12r22+s1r42)+Φ1(r1,r2,φ1,φ2,α)˙r2=r2(μ2+p21r21+p22r22+s2r41)+Φ2(r1,r2,φ1,φ2,α)˙φ1=ω1+Ψ1(r1,r2,φ1,φ2,α)˙φ2=ω2+Ψ2(r1,r2,φ1,φ2,α), (2.9)

    where the real functions Φk, Ψk are smooth functions of their arguments and are 2π-periodic in φj, Φk=O((r21+r22)3), Ψk(0,0,φ1,φ2)=0.

    Consequently, the truncated amplitude system obtained in [1] reads:

    {˙ρ1=2ρ1(μ1+p11ρ1+p12ρ2+s1ρ22)˙ρ2=2ρ2(μ2+p21ρ1+p22ρ2+s2ρ21). (2.10)

    This system is analyzed in two cases, the "simple case" as p11(0)p22(0)>0 and the "difficult case" as p11(0)p22(0)<0.

    The study of the generic Hopf-Hopf bifurcation is also done in [2], starting with the amplitude system (2.6), truncated up to third order terms, in the nondegeneracy hypotheses

    a1(0)0,a2(0)0,c1(0)0,c2(0)0, (2.11)

    and

    a1(0)c2(0)a2(0)c1(0)0. (2.12)

    In this paper we study the degenerate Hopf-Hopf bifurcation when conditions (HH.1) and (HH.3) are not satisfied. In order to do this, we derive a new normal form for the amplitude system.

    Theorem 2.2. Assume that the following three generic conditions are satisfied:

    (HH.2) a2(0)=Re[G1011(0)]0,

    (HH.4) c2(0)=Re[H0021(0)]0,

    (HH.5) the map α(μ1(α),μ2(α)) is regular at α=0.

    Then, system (2.6) is locally topologically equivalent around theorigin O, for all sufficiently small |α|, tothe following system

    {dρ1dτ=2ρ1[μ1+p11ρ1+p12ρ2+p13ρ21+p14ρ1ρ2]+ρ1O((ρ1+ρ2)3)dρ2dτ=2ρ2[μ2+p21ρ1+p22ρ2+p23ρ21+p25ρ22]+ρ2O((ρ1+ρ2)3), (2.13)

    where

    p11=a1+μ1n1,p12=a2+μ1n2,p13=a3+a1n1,p14=a4+a1n2+a2n1

    and

    p21=c1+μ2n1,p22=c2+μ2n2,p23=c3+c1n1,p25=c5+c2n2,

    with n2(μ)=a5(μ)a2(μ) and n1(μ)=c4(μ)+c1(μ)n2(μ)c2(μ), where pij=pij(μ) for i=1,2 and j=¯1,5, are well-defined and smooth functions for all |μ| small enough.

    Proof. We rescale the time by

    dt=(1+n1ρ1+n2ρ2)dτ

    where ni=ni(α), i=¯1,2, are smooth functions which will be determined later. Then, system (2.6) is orbitally equivalent to the system

    {dρ1dτ=2ρ1[μ1+p11ρ1+p12ρ2+p13ρ21+p14ρ1ρ2+p15ρ22]+ρ1O(|ρ|3)dρ2dτ=2ρ2[μ2+p21ρ1+p22ρ2+p23ρ21+p24ρ1ρ2+p25ρ22]+ρ2O(|ρ|3),

    where p11=a1+μ1n1, p12=a2+μ1n2, p13=a3+a1n1, p14=a4+a1n2+a2n1, and p15=a5+a2n2, respectively p21=c1+μ2n1, p22=c2+μ2n2, p23=c3+c1n1, p24=c4+c1n2+c2n1 and p25=c5+c2n2.

    Since a2(0)0 and c2(0)0, one can nullify the coefficients p15 and p24 by taking n2(α)=a5(α)a2(α) and n1(α)=c4(α)+c1(α)n2(α)c2(α). Notice that n1(α) and n2(α) are well-defined for all |α| small enough, and so are pij(α).

    Assume the map α(μ1(α),μ2(α)) is regular at α=0, that is,

    μ1α1μ2α2μ1α2μ2α1|α=00.

    From the Inverse Function Theorem this condition ensures that for any μ1,μ2R with |μ|=μ21+μ22 small enough, there exist α1=α1(μ) and α2=α2(μ) which are obtained locally from the system

    μ1,2=μ1,2α1(0,0)α1+μ1,2α2(0,0)α2.

    This implies that, one can consider further μ=(μ1,μ2) as the parameter of the system. Thus, ω1,2=ω1,2(μ), ai=ai(μ), bi=bi(μ), ci=ci(μ), di=di(μ), pij=pij(μ), i=1,2, j=¯1,5. Since μ1,2(0)=0, the properties ω1(0)=ω10>0 and ω2(0)=ω20>0 are preserved. The theorem is proved.

    Remark that the coefficients pij in system (2.13) are not the same as the ones in system (2.10), but the values p11(0), p12(0), p21(0), p22(0) are the same as in system (2.8).

    The truncated 4D system of system (2.13) reads

    {dρ1dτ=2ρ1[μ1+p11ρ1+p12ρ2+p13ρ21+p14ρ1ρ2],dρ2dτ=2ρ2[μ2+p21ρ1+p22ρ2+p23ρ21+p25ρ22],dφ1dτ=ω10,dφ2dτ=ω20, (2.14)

    where p12(0)p22(0)0, because p12(0)=a2(0)0, from (HH.2) and p22(0)=c2(0)0, from (HH.4).

    We aim to tackle in this work the normal form system (2.13), truncated up to third order terms, when a2(0)c2(0)>0.

    Assume p12(0)=a2(0)<0 and p22(0)=c2(0)<0. Make the changes

    ξ1=p12(μ)ρ1,ξ2=p22(μ)ρ2,t=2τ. (2.15)

    The transformation (ρ1,ρ2)(ξ1,ξ2) is well defined for all |μ| small enough, because p12(0)0 and p22(0)0 are satisfied from (HH.2) and (HH.4), and it is nonsingular as a2(0)c2(0)0. Since dξ1dt=p12(μ)dρ1dτdτdt and dξ2dt=p22(μ)dρ2dτdτdt, the form system (2.13) in its lowest terms in (ξ1,ξ2), known as the truncated form, becomes  

    {˙ξ1=ξ1[μ1θ(μ)ξ1γ(μ)ξ2+M(μ)ξ1ξ2+N(μ)ξ21]˙ξ2=ξ2[μ2δ(μ)ξ1ξ2+S(μ)ξ21+P(μ)ξ22], (2.16)

    where θ(μ)=p11p12(μ), γ(μ)=p12p22(μ), M(μ)=p14p12p22(μ), N(μ)=p13p212(μ), δ(μ)=p21p12(μ), S(μ)=p23p212(μ) and P(μ)=p25p222(μ). However, in what follows, some of these expressions are needed only at μ=0. 

    The dot over quantities stands now for the derivatives with respect to the new time. Denote also by f the smooth vector field associated with system (2.16).

    Remark 1. Due to the transformation system (2.15), the stability of an equilibrium point in the 2D system (2.16) is preserved in the 4D system (2.14); see also [1].

    Remark 2. 1) Notice that θ(0)=a1(0)a2(0), γ(0)=a2(0)c2(0) and δ(0)=c1(0)a2(0) are well-defined from (HH.2), (HH.4). Moreover, γ(0)>0 while θ(0)δ(0) can be 0.

    2) When p12(0)>0 and p22(0)>0, the change ξ1=p12(μ)ρ1, ξ2=p22(μ)ρ2, t=2τ lead to

    {˙ξ1=ξ1[μ1θ(μ)ξ1γ(μ)ξ2M(μ)ξ1ξ2N(μ)ξ21]˙ξ2=ξ2[μ2δ(μ)ξ1ξ2S(μ)ξ21P(μ)ξ22], (2.17)

    that can be reduced to system (2.16).

    As ρi=r2i0, i=1,2, taking into account system (2.15) and the fact that p12(0)<0, p22(0)<0, it follows that the system (2.16) must be studied only on the set (the first quadrant)

    D={(ξ1,ξ2)R2,ξ10,ξ20}.

    Thus, only the equilibria of system (2.16) situated in D will be analyzed.

    Remark 3. The lines ξ1=0 and ξ2=0 are invariant curves for system (2.16), thus the set D is invariant with respect to the dynamical system associated to system (2.16).

    In the following we analyze the truncated amplitude system (2.16) in two cases when the Hopf-Hopf bifurcation degenerates, namely (ⅰ) δ(0)=0, θ(0)0; (ⅱ) θ(0)=0, δ(0)0.

    Remind that system (2.16) which is analyzed in the next two sections was obtained in the hypotheses (HH.0), (HH.2), (HH.4), (HH.5), and, as p12(0)<0, p22(0)<0, we have γ(0)>0.

    In addition, our study is done for μ in a neighborhood of the origin Vε given by |μ|<ε, for ε>0 sufficiently small.

    As all the coefficients are smooth functions depending on the parameter μ, for μVε we can write

    θ(μ)=θ(0)+θμ1(0)μ1+θμ2(0)μ2+O(|μ|2),

    and similar for the other coefficients. In all the expressions below only the significant lower order terms in μ1,μ2 will be considered, as necessary. Also, in order to save symbols, if, for instance we have N(0)0 we shall denote N=N(0), thus, close to μ=0, we have N(μ)=N+O(|μ|), and so on for the other coefficients.

    Assume that δ(0)=0, θ(0)0. This means that condition (HH.3) is not satisfied, but (HH.1) is valid.

    Then δ(μ)=δ1μ1+δ2μ2+O(|μ|2), with δ1=δμ1(0), δ2=δμ2(0). One of the equilibria of system (2.16) is E0=(0,0). Two more equilibria

    E1=(1θμ1+O(μ21),0)andE2=(0,μ2+O(μ22))

    where θ=θ(0), bifurcate from E0 as soon as μ10, respectively, μ20, i.e. at the bifurcation lines

    Y={(μ1,μ2),μ1=0,μ2<0},Y+={(μ1,μ2),μ1=0,μ2>0},

    and

    X={(μ1,μ2),μ2=0,μ1<0},X+={(μ1,μ2),μ2=0,μ1>0},

    respectively. Their stability is described by Lemma 3.1.

    Lemma 3.1. (1) The eigenvalues of E0 are μ1 and μ2.

    (2) The eigenvalues of E1 are μ1+O(μ21)and (μ2+Sδ1θθ2μ21)(1+O(μ1)), thus, whenever E1 lies in D, E1 is either (i) a saddle as μ1(μ2+Sδ1θθ2μ21)>0, (ii)an unstable node as μ2+Sδ1θθ2μ21>0,μ1<0, (iii) a stable node as μ2+Sδ1θθ2μ21<0,μ1>0.

    (3) The eigenvalues of E2 are μ1γμ2+O(μ22)and μ2+O(μ22). Therefore, for |μ|sufficiently small,   E2 is (i) a saddle as μ1γμ2>0, (ii) a stable node as μ1γμ2<0, whenever itexists in D.

    On the other hand, system (2.16) has the nontrivial equilibrium E3=(ξ1,ξ2), with

    {ξ1=1θμ1(1+O(|μ|)γθμ2(1+O(|μ|)    ξ2=μ2(1+O(|μ|)+Sδ1θθ2μ21(1+O(|μ|)).

    The associated eigenvalues satisfy

    λ1λ2=ξ1ξ2[θ+O(|μ|)],λ1+λ2=μ1+(γ1)μ2+O(|μ|2). (3.1)

    When θ>0, E3 lies in D for parameters in the region

    R1={(μ1,μ2)Vε,μ1γμ2>0,μ2+Sδ1θθ2μ21>0}.

    It is easy to see that for μR1, with |μ| sufficiently small, we have λ1λ2>0 and the curve λ1+λ2=0 does not cross region R1, thus λ1+λ2<0, and E3 is stable.

    When θ<0, E3 lies in D for parameters in region

    R2={(μ1,μ2)Vε,μ1γμ2<0,μ2+Sδ1θθ2μ21>0}.

    By system (3.1), it follows λ1λ2<0, for sufficiently small |μ|. Thus, E3 is a saddle. The following result is proved.

    Lemma 3.2. If θ<0, then E3 is a saddle, while if θ>0, the equilibrium E3 is a hyperbolic attractor, for allsufficiently small |μ|, for which E3 lies in D.

    Consequently there can be no Hopf bifurcation at E3.

    As the term δ2 does not influence the topological type of equilibria, we may restrict our attention only to the (θ,δ1) plane.

    Regions R1 and R2 are delimitated by the curves

    T1={(μ1,μ2)Vε,μ1=γμ2+O(μ22),μ2>0}, (3.2)
    T2={(μ1,μ2)Vε,μ2=Sδ1θθ2μ21+O(μ31)}. (3.3)

    We notice that E3 collides with E2 on T1, and it collides with E1 on T2.

    Proposition 3.3. System (2.16) experiences the following transcritical bifurcations:

    (i) at the point E0 as the parameter μ1 varies through thebifurcation value μ1=0, for a fixed μ20 (when E0=E1);

    (ii) at the point E0 as the parameter μ2 varies through thebifurcation value μ2=0, for a fixed μ10 (when E0=E2);

    (iii) at the point E1 as the parameter (μ1,μ2) crossesthe curve T2 (when E1=E3);

    (iv) at the point E2 as the parameter (μ1,μ2) crosses thecurve T1 (when E2=E3).

    Proof. We apply Sotomayor Theorem ([13,14], to prove these statements.

    (ⅰ) The Jacobian matrix Df(E0,μ0) at μ0=(0,μ2), μ20, has a zero eigenvalue with the right eigenvector v=(1,0)T and the left eigenvector w=(1,0)T. It follows

    wTfμ1(E0,μ0)=0,wTDfμ1(E0,μ0)=10,wT[D2f(E0,μ0)(v,v)]=2θ0,

    thus the transcritical bifurcation conditions are satisfied.

    (ⅱ) The Jacobian matrix Df(E0,μ0) at μ0=(μ1,0), μ10, has a zero eigenvalue with the right eigenvector v=(0,1)T and the left eigenvector w=(0,1)T. It follows

    wTfμ2(E0,μ0)=0,wTDfμ2(E0,μ0)=10,wT[D2f(E0,μ0)(v,v)]=20,

    ensuring the existence of a transcritical bifurcation.

    (ⅲ) Consider μ0T2, μ10, and μ2 as a bifurcation parameter. We find that v=(γ,θ)T and w=(0,1)T are right and left eigenvectors of the Jacobian matrix Df(E1,μ0), respectively, corresponding to the zero eigenvalue, and

    wTfμ2(E1,μ0)=0,wTDfμ2(E1,μ0)=θ0,wT[D2f(E1,μ0)(v,v)]=2θ(δγθ)4Sγμ10,

    consequently, for sufficiently small |μ|, the conditions are satisfied.

    (ⅳ) Finally, consider μ0T1, μ20, and μ1 as a bifurcation parameter, thus μ0=(γμ2,μ2). We find the eigenvectors v=(1,δ)T and w=(1,0)T, and

    wTfμ1(E2,μ0)=0,wTDfμ1(E2,μ0)=2(δγθ)+2Mμ20,wT[D2f(E1,μ0)(v,v)]=10,

    for sufficiently small |μ|.

    For a fixed γ>0, and S>0, the curves Sδ1θ=0, θ=0, determine four regions in the (θ,δ1) plane, illustrated in Figure 1, corresponding to the following cases:

    Figure 1.  Four regions in the (θ,δ1) plane, γ>0, and S>0.

    δ: θ>0, Sδ1θ<0;

    δ: θ>0,  Sδ1θ>0;

    δ: θ<0,  Sδ1θ>0;

    δ: θ<0,  Sδ1θ<0.

    For each region Ⅰδ-Ⅳδ, in the parametric portraits in the (μ1,μ2)- plane, the parameter strata are determined by the origin and the bifurcation curves X, X+, Y, Y+, T1, and T2. Consequently, the following result is obtained.

    Theorem 3.4. For all γ>0,S>0, in the (θ,δ1) plane, the bifurcation curves consist of

    OT1T2XX+YY+.

    The four parameter portraits for (θ, δ1) in regions Ⅰδ, Ⅱδ, Ⅲδ, Ⅳδ are shown in Figure 2. The 14 generic phase portraits are given in Figure 3.

    Figure 2.  Parametric portraits in the case δ=0.
    Figure 3.  Generic phase portraits in the case δ=0. Legend: a black disc for an attractor, a black square for a repeller, a diamond for a saddle equilibrium.

    In Figure 3 we used the following markers to emphasize the topological type of the equilibria: a black disc for an attractor, a black square for a repeller and a diamond for a saddle point. All of these phase portraits are also found in the nondegenerate double-Hopf bifurcation case [1,2]. As S0, a similar study can be done.

    Remark 4. As proved in Proposition 3.3, each of the curves X, X+, Y, Y+, T1, T2 consists of values of transcritical bifurcation (for which two of the four equilibria collide and change topological type), separating two parameter strata, one where both equilibria involved in the transcritical bifurcation lie on D and one where only one of them lies on D. Although for parameters on a bifurcation curve the corresponding equilibrium is a saddle-node, the generic phase portrait is equivalent to the one of the stratum where only one of the two equilibria is in D.

    Assume θ(0)=0, δ(0)0. In this case the condition (HH.1) is not satisfied, and (HH.3) is valid. Then θ(μ)=θ1μ1+θ2μ2+O(|μ|2).

    In this case, two trivial equilibria of system (2.16) are E0=(0,0), with the eigenvalues μ1 and μ2, and E2=(0,μ2+O(μ22)) with eigenvalues μ1γμ2+O(|μ|2) and μ2+Pμ22(1+O(|μ|)). Remark that these equilibria keep the same form as in the case treated in the previous section, and their stability remains as described by Lemma 3.1.

    As ξ2=0, the equation giving the equilibrium points reads:

    μ1θ(μ)ξ1+N(μ)ξ21=0. (4.1)

    Assume that N(0)0, thus N(μ)0 for sufficiently small |μ|. If Δ(μ)=θ2(μ)4N(μ)μ10, Eq (4.1) has two real solutions

    ξ11(μ)=θ(μ)Δ(μ)2N(μ),ξ12(μ)=θ(μ)+Δ(μ)2N(μ),ξ11ξ12.

    Thus, as μ1N>0, two equilibrium points, E11=(ξ11,0) and E12=(ξ12,0), are lying on the positive ξ1axis, provided that (μ1,μ2)R3, where R3 is a region in the parametric plane given by

    R3={(μ1,μ2)Vε|Δ(μ)>0,μ1N>0,θN>0}. (4.2)

    Obviously, as Δ(μ)=0, we have E11=E12=θ2N.

    As μ1N<0, we have ξ11<0<ξ12, thus, only the equilibrium E12 lies in D for parameters in region

    R4={(μ1,μ2)Vε|Δ(μ)>0,μ1N<0}. (4.3)

    As μ1=0, we have E11=E0 if θ2μ2N>0, while E12=E0 if θ2μ2N<0. Using the Implicit Functions Theorem, we find that, for sufficiently small |μ|, Δ(μ)=0 for parameters on the curve, denoted also by Δ, given as

    Δ={(μ1,μ2)Vε,μ1=θ224Nμ22+O(μ32),θ2μ2N>0}.

    The eigenvalues of E11=(ξ11,0) satisfy λE111=ξ11Δ(μ)0, and

    λE112=μ2SNμ1+ξ11(θSNδ).

    For E12=(ξ12,0) we have λE121=ξ12Δ(μ)0 and

    λE122=μ2SNμ1+ξ12(θSNδ).

    An important relation for studying the behavior of E11 and E12 is

    λE112λE122=1Nδ2μ1(1+O(|μ|))+1N(Nθ2δ)μ22(1+O(|μ|). (4.4)

    Note that as λE112λE122=0, we get

    λE112+λE122=1N(2Nθ2δ)μ2+O(μ22).

    Lemma 4.1. As the parameter μ crosses the curve Δ, asaddle-node bifurcation takes place. In addition, if N>0, for parameter sufficiently small, close to the curve Δ, we have:

    (i) E11 is an attractor and E12 is a saddle as μ2(2Nδθ2)<0;

    (ii) E11 is a saddle and E12 is a repeller as μ2(2Nδθ2)>0.

    Proof. Consider μ0Δ. Then ξ11=ξ12=θ22Nμ2+O(μ22), and the eigenvalues of equilibrium E11 are λ1=0, λ2=2Nδθ22Nμ2+O(μ22). The Jacobian matrix Df(E11,μ0), has for the zero eigenvalue the right eigenvector v=(1,0)T and the left eigenvector w=(2Nδθ2,γθ2)T. It follows

    wTfμ1(E0,μ0)=θ22Nμ20,wT[D2f(E0,μ0)(v,v)]=θ2μ2+O(μ22)0,

    for sufficiently small |μ|. Thus, according to Sotomayor Theorem, a saddle-node bifurcation takes place.

    For parameters close to the bifurcation curve we have sign(λE111)=sign(N), sign(λE121)=sign(N), and sign(λE112)=sign(λE122)=sign(2Nδθ22Nμ2). Consequently, if N>0, the equilibrium E11 is an attractor and E12 is a saddle as μ2(2Nδθ2)<0, while as μ2(2Nδθ2)>0, the equilibrium E11 is a saddle and E12 is a repeller.

    Denote by

    Δ+={(μ1,μ2)Δ,μ2(2Nδθ2)>0}

    and

    Δ={(μ1,μ2)Δ,μ2(2Nδθ2)<0}.

    As a consequence of Lemma 4.1, for a parameter μ in Δ+, sufficiently small, the equilibrium E11(=E12) is a saddle-node, with one attractive direction and three repelling directions, while for a parameter μ in Δ, the equilibrium E11 is a saddle-node, with one repelling direction and three attractive ones.

    Consider the curves

    Y={(μ1,μ2)Vε,μ1=0,θ2Nμ2<0},Y+={(μ1,μ2)Vε,μ1=0,θ2Nμ2>0}.

    Proposition 4.2. The following statements hold:

    (i) for μY+, equilibria  E0 and E11coincide; when parameters cross this curve, a transcritical bifurcationtakes place, and E0 and E11 interchange the topological type;

    (ii) for μY, equilibria  E0 and E12 coincide and are saddle-nodes. A transcritical bifurcation takes place whenparameters are crossing the curve Y, and E0 and E12interchange the topological type.

    (iii) for μ{(μ1,μ2),μ2=0,μ10}, equilibria  E0 and E2 coincide and atranscritical bifurcation takes place when parameters are crossing thiscurve.

    Proof. As in Proposition 3.3, we apply Sotomayor Theorem ([13]) to prove these statements.

    (ⅰ) Consider μ0Y+. As μ1=0 and θ2μ2N>0, it follows that E11=E0. The Jacobian matrix Df(E0,μ0) at μ0=(0,μ2), μ20, has a zero eigenvalue with the right eigenvector v=(1,0)T and the left eigenvector w=(1,0)T. It follows

    wTfμ1(E0,μ0)=0,wTDfμ1(E0,μ0)=10,wT[D2f(E0,μ0)(v,v)]=2θ2μ20,

    for sufficiently small |μ|, thus the transcritical bifurcation conditions are satisfied.

    (ⅱ) Consider μ0Y. As μ1=0 and θ2μ2N<0, it follows that ξ12=0, thus E12=E0. We obtain the same values for the quantities involved in the transcritical bifurcation conditions as in case (i).

    (ⅲ) The Jacobian matrix Df(E0,μ0) at μ0=(μ1,0), μ10, has a zero eigenvalue with the right eigenvector v=(0,1)T and the left eigenvector w=(0,1)T. It follows

    wTfμ2(E0,μ0)=0,wTDfμ2(E0,μ0)=10,wT[D2f(E0,μ0)(v,v)]=20,

    ensuring the existence of a transcritical bifurcation.

    For E3=(ξ1,ξ2), solution of system

    {μ1(θ1μ1+θ2μ2)ξ1γ(μ)ξ2+M(μ)ξ1ξ2+N(μ)ξ21=0,μ2δ(μ)ξ1ξ2+S(μ)ξ21+P(μ)ξ22=0,

    we obtain

    ξ1=1γδ(μ1γμ2)+O(|μ|2),ξ2=1γμ1(1+O(|μ|))+Nθ2δδ2γμ22(1+O(|μ|)).

    Thus, E3 is a nontrivial equilibrium for system (2.16) provided

    μR5={(μ1,μ2)Vε,δ(μ1γμ2)<0,δ2μ1+(Nθ2δ)μ22>0}.

    Denote by

    T3={(μ1,μ2)Vε,μ1=θ2δNδ2μ22+O(μ32)} 

    the parameter curve for which ξ2=0. Thus R5 is delimited by T1 and T3.

    The eigenvalues of E3 satisfy

    λ1λ2=ξ1ξ2(γδ+O(|μ|))andλ1+λ2=1γδ2p(μ), (4.5)

    where p(μ)=δ2μ1(1+O(|μ|))+k1μ22(1+O(|μ|)) and k1=(θ2δN)+γ(2Nθ2δ).

    Applying Implicit Functions Theorem to the implicit equation p(μ1,μ2)=0, the following lemma is obtained.

    Lemma 4.3. If (θ2δN)+γ(2Nθ2δ)0, there exists a neighborhood U of 0 in the parameter plane such that p(μ)=0 in U iff μUH, where

    H={(μ1,μ2),μ1=(θ2δN)+γ(2Nθ2δ)δ2μ22+O(μ32)} (4.6)

    for |μ| sufficiently small.

    As a consequence we obtain the following result concerning the topological type of the nontrivial equilibrium E3.

    Lemma 4.4. Assume N>0. For sufficiently small |μ|, the following statements hold:

    (1) If δ>0, then E3 is a saddle.

    (2) If δ<0, θ2δ2N0, then E3 is ahyperbolic attractor.

    (3) If δ<0, θ2δ2N<0, then the equilibrium E3is a hyperbolic repeller as δ2μ1<[γ(2Nθ2δ)+(θ2δN)]μ22, and a hyperbolicattractor for the other parameters in R5H,

    A similar result can be obtained if N<0. We explore next the local bifurcations at the equilibrium E3.

    Proposition 4.5. The following statements hold:

    (i) For μ0T1, equilibria E2 and E3 coincide. Whenparameter μ crosses T1 a transcritical bifurcation takes place at E3.

    (ii) For μ0T3, E3 coincides either with E11 if 2Nθ2δ2Nδμ2<0, or with E12 if 2Nθ2δ2Nδμ2>0.

    (iii) Assume 2Nδθ20, and δμ10. Then, when parameter μ crosses T3, atranscritical bifurcation takes place at E3.

    Proof. (ⅰ) Consider μ0T1, μ0=(γμ2+O(μ22),μ2), with μ2>0. Applying Sotomayor theorem, we obtain the right eigenvector v=(1,δ)T and the left eigenvector w=(1,0)T, and

    wTfμ1(E3,μ0)=0,wTDfμ1(E3,μ0)=2γδ+O(μ2)0,wT[D2f(E0,μ0)(v,v)]=10,

    for |μ0| sufficiently small. Thus the transcritical bifurcation conditions are satisfied.

    (ⅱ) Consider μ0T3, sufficiently small. Then μ0=(θ2δNδ2μ22+O(μ32),μ2), μ20. We obtain ξ1=1δμ2+O(μ22)0, ξ2=0, and

    ξ1θ1μ1+θ2μ22N=2Nθ2δ2Nδμ2+O(μ22),

    consequently, E3=E12 if 2Nθ2δ2Nδμ2>0, and E3=E11 if 2Nθ2δ2Nδμ2<0.

    (ⅲ) Consider μ0T3, sufficiently small. In order to prove the existence of a transcritical bifurcation, we choose μ1 as the bifurcation parameter. Write δ as

    δ(μ)=δ(0)+δ1μ1+δ2μ2+O(|μ|2).

    The Jacobian matrix Df(E3,μ0) has a zero eigenvalue with the right eigenvector

    v=(γδMμ2+O(μ22),(2Nθ2δ)μ2+O(μ22))T

    and the left eigenvector w=(0,1)T. It follows

    wTfμ1(E3,μ0)=0,wTDfμ1(E3,μ0)=δ1δ(2Nδθ2)μ22(1+O(μ2))0,
    wT[D2f(E3,μ0)(v,v)]=2γδ2(2Nδθ2)μ2(1+O(μ2))0,

    for sufficiently small |μ|, ensuring the existence of a transcritical bifurcation.

    From Lemma 4.4 it follows that system (2.16) may exhibit a Hopf bifurcation at E3.

    Remark 5. The above analysis shows that the term θ1 does not influence the topological type of the equilibria, and only the coefficients γ,δ,θ2 and N are significant, for sufficiently small |μ|.

    For a fixed γ>0, and N>0, the curves δ=0, θ2=0,θ2δN=0, θ2δ2N=0 determine eight regions in the (θ2,δ) plane (see Figure 4), corresponding to the following cases:

    Figure 4.  Eight regions in the (θ2,δ) plane, γ>0, and N>0.

    θ: θ2>0,δ>0, θ2δ2N>0;

    θ: θ2>0,δ>0, θ2δN>0, θ2δ2N<0;

    θ: θ2>0,δ>0, θ2δN<0;

    θ: θ2<0,δ>0, θ2δN<0;

    θ: θ2<0,δ<0, θ2δ2N>0;

    θ: θ2<0,δ<0, θ2δN>0,θ2δ2N<0;

    θ: θ2<0,δ<0, θ2δN<0;

    θ: θ2>0,δ<0, θ2δN<0.

    Theorem 4.6. For all γ>0,N>0, respectively, (θ2,δ)in regions Iθ, IIθ, IIIθ, IVθ, Vθ in the (θ2,δ) plane, thebifurcation curves consist of

    OT1T3Δ±XX+YY+.

    The generic parameter portraits are shown in Figures 5 and 7, and the corresponding generic phase portraits in Figures 6 and 8.

    Figure 5.  Parametric portraits in the case θ=0, regions corresponding to δ>0.
    Figure 6.  Generic phase portraits in the case θ=0, regions corresponding to δ>0.
    Figure 7.  Parametric portraits in the case θ=0, regions corresponding to δ<0.
    Figure 8.  Generic phase portraits in the case θ=0, regions corresponding to δ<0.

    A Hopf bifurcation may occur when (μ1,μ2) crosses the curve H and (θ2,δ) is situated in regions VIθ, VIIθ, VIIIθ. In the case when the first Lyapunov is non-zero, a limit cycle surrounding the equilibrium E3 appear. This cycle is stable if the Hopf bifurcation is supercritical (the first Lyapunov coefficient is negative) or is unstable if the Hopf bifurcation is subcritical (i.e., the first Lyapunov coefficient is positive). As the first Lyapunov coefficient is zero, the equilibrium E3 may be a nonlinear centre.

    Remark that, as the parameters move away from H, towards the region containing the limit cycle generated by the Hopf bifurcation, the cycle may disappear, either by transforming into a homoclinic loop or by becoming too large, and no longer inside the visible neighborhood of the origin. In such cases there should exist a bifurcation curve L originating at μ=0, along which those situations may occur. The position of the curve L depends on the type of the Hopf bifurcation. These situations also appear in the "difficult case" in the nondegenerate double-Hopf bifurcation. The existence and location of the curve L can be proved following the lines in [1,2].

    Theorem 4.7. For all γ>0,N>0, and (θ2,δ) in regionsVIθ, VIIθ, VIIIθ in the (θ2,δ) plane, the bifurcation curves consist of

    OT1T3Δ±XX+YY+HL.

    The generic parameter portraits are shown in Figure 7, in the hypothesis that the Lyapunov coefficient is negative. The corresponding generic phase portraits are given in Figure 8. Many of the phase portraits in Figures 6 and 8 cannot be found in the nondegenerate double-Hopf bifurcation.

    The effect of adding higher-order terms to the truncated normal form system (2.16) and the correspondence between the properties of the 2D amplitude system (2.16) and the 4D system (2.1), have been described, for example, in [1,2,15,16,17,18]. However, the study of nonsymmetric general perturbations of the truncated normal forms is far from complete, as pointed out in [1].

    Thus, we remark that the study of adding higher order terms to the truncated normal form is a complex open problem which is outside the aim of this article.

    The classical normal form of the Hopf-Hopf bifurcation, in differential systems of dimension four and having minimum two independent parameters, is based on six generic conditions (2.8).

    In this work we have studied two degenerate Hopf-Hopf bifurcations, namely:

    1) the case when the generic condition (HH.3) in system (2.8) is not fulfilled, treated in Section 3;

    2) the case when the generic condition (HH.1) in system (2.8) is not fulfilled, treated in Section 4.

    In our study we have obtained new bifurcation diagrams and new phase portraits which were not previously reported in generic studies on double-Hopf bifurcation. Such an example is a saddle-node bifurcation in the amplitude system which corresponds to a fold bifurcation of cycles in the four dimensional system and which is present only in the degenerate case θ=0.

    The results describing the dynamics, contribute to a better understanding of the behavior of a system presenting a Hopf-Hopf singularity.

    Finally, we summarize in the Table 1 the correspondence of equilibria, cycles and bifurcations between the 2D amplitude system (2.16) and the 4D normal form system (2.14):

    Table 1.  The correspondence of equilibria, cycles and bifurcations.
    2D 4D
    E0 origin
    E3 2D torus
    cycle 3D torus
    X+,X,Y+,Y,Y+,Y Hopf bifurcation
    T1,T2,T3 Neimark-Sacker bifurcation of cycles
    Δ+,Δ fold bifurcation of cycles
    Hopf bifurcation H branching of 3D torus from a 2D torus
    cycle blow up L blow-up of a 3D torus

     | Show Table
    DownLoad: CSV

    This research was supported by Horizon2020-2017-RISE-777911 project.

    The authors declare there is no conflicts of interest.



    Conflict of interest



    The author declares no conflict of interest.

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