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Decomposition of spectral flow and Bott-type iteration formula

  • Received: 01 September 2019 Revised: 01 January 2020
  • 58J30, 37B30, 53D12

  • Let A(t) be a continuous path of self-adjoint Fredholm operators, we derive a decomposition formula of spectral flow if the path is invariant under a matrix-like cogredient. As applications, we give the generalized Bott-type iteration formula for linear Hamiltonian systems.

    Citation: Xijun Hu, Li Wu. Decomposition of spectral flow and Bott-type iteration formula[J]. Electronic Research Archive, 2020, 28(1): 127-148. doi: 10.3934/era.2020008

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  • Let A(t) be a continuous path of self-adjoint Fredholm operators, we derive a decomposition formula of spectral flow if the path is invariant under a matrix-like cogredient. As applications, we give the generalized Bott-type iteration formula for linear Hamiltonian systems.



    In this paper, we consider the decomposition of the spectral flow for a path of self-adjoint Fredholm operators. Let H be a separable Hilbert space, and we denote by FS(H) the set of all densely defined self-adjoint Fredholm operators on H. We always equip FS(H) with the gap topology. For a continuous path A(t)FS(H), t[a,b], the spectral flow sf(A(t);t[a,b]) is an integer that counts the net number of eigenvalues that change sign. This notation is first introduced by Atiyah-Patodi-Singer [2] in their study of index theory on manifolds with boundaries. Since then it had found many significant applications, see [27,4] and references therein.

    Some basic properties of spectral flow such as homotopy invariance, path additivity, direct sum e.t. are well known, please refer to the Appendix. We give the proof for another basic property which is called cogredient invariance property of spectral flow. For convenience, we first introduce some notations. Let H1,H2 be separable Hilbert space, we denote by L(H1,H2) and C(H1,H2) the set of bounded and closed operators from H1H2. Let S(H) be the set of self-adjoint operators on H. For convenience, we denote by L(H1,H2),C(H1,H2),S(H),FS(H) the invertible subsets.

    Lemma 1.1. Let MsC([a,b],L(H1,H2)), AsC([a,b],FS(H2)), then

    MsAsMsC([a,b],FS(H1)), (1.1)

    and we have

    sf(As;s[a,b])=sf(MsAsMs;[a,b]). (1.2)

    Remark 1.2. The cogredient invariance property is a nature property. In the case H1=H2, we can get it by the homotopy invariant property, but the general case is not so easy. In a preprint paper [13], Fitzpatrick-Stuar-Pejsachowicz proved (1.2) in the case that Ms is constant, the domain of As is fixed and bothAa,Ab are invertible. Lemma 1.1 can be considered as a generalization of their result. For reader's convenience, we give the detail proof in Section 2.

    Our main result is the decomposition formula based on the cogredient invariance property. Let Hi be closed subspaces of H for i=1,,m, then we define

    1imHi=H1+Hm

    which is the subspace spanned by Hi, i=1,,m. Suppose gL(H), we call g is a matrix-like operator if σ(g)={λ1,,λn} is finite and there exist m>0, such that

    H=1inker(gλi)m. (1.3)

    We denote by M(H) the set of matrix-like operators. For gM(H), λσ(g), we set

    Hλ:=ker(gλ)m,

    and denote

    Fλ={Hλ,ifλU;Hλ+Hˉλ1,ifλU. (1.4)

    Then we have

    H=1ikFλi.

    Moreover, let ˆF=span{Fλ,λσ(g)Uc}, we have the next theorem.

    Theorem 1.3. Let AsC([0,1],FS(H)). Suppose gM(H) is invertible and preserve the domain of As, σ(g)U={λ1,,λj}. Assume

    gAsg=As,fors[0,1], (1.5)

    then we have

    sf(As)=sf(As|Fλ1)++sf(As|Fλj)+12(dimker(A1|ˆF)dimker(A0|ˆF)). (1.6)

    In [18], by assuming g is unitary and σ(g) is finite, Hu-Sun proved the decomposition formula

    sf(As)=sf(As|ker(gλ1)++sf(As|ker(gλj)) (1.7)

    under the condition

    Asg=gAs. (1.8)

    Obviously, we give a generalization of (1.7). In fact, a significant difference is that we do not assume g is unitary in Theorem 1.3, hence the subspaces Hλ are not orthogonal. To overcome this difficulty, we develop a new technique (Lemma 2.2) to prove the equality of spectral flow.

    The second main result is a generalization for the Bott-type iteration formula which is a powerful tool to study the multiplicity and stability of periodic orbits in Hamiltonian systems. In 1956, Bott got his celebrated iteration formula for the Morse index of closed geodesics [5], and it was generalized by [3,10,9,11]. The precise iteration formula of the general Hamiltonian system was established by Long [22,23]. In fact, the iteration could be regarded as a unitary group action. Motivated by the symmetry orbits in n-body problem [12], Hu-Sun [18] use this opinion to give generalization of Bott-type iteration formula to the system under a circle-type symmetry or reversible symmetry group action, and prove the stability of Figure Eight orbit [8]. The case of the reversible symmetry was deeply studied in [24,20,21,16].

    Based on Theorem 1.3, we prove the Bott-type iteration formula which cover all the previous cases and moreover give some new generalizations. Our generalized formula could be applied to the closed geodesics on Semi-Riemanian manifold and heteroclinic orbits with reversible symmetry.

    Now we consider the linear Hamiltonian system

    ˙x(t)=JB(t)x(t),tI, (1.9)

    where J=(0InIn0), IR is a connected subinterval, B(t)C(I,S(R2n)). In the case I is finite, the boundary conditions are given by the Lagrangian subspaces. Let (C2n,ω) be the standard symplectic space with ω(x,y)=(Jx,y). A Lagrangian subspace V is a n-dimensional subspace with ω|V=0. We denote the set of Lagrangian subspace by Lag(2n). It is obvious (C2nC2n,ωω) is a 4n-dimensional symplectic space, then for I=[a,b], the boundary condition is given by

    (x(a),x(b))ΛLag(4n). (1.10)

    In the case I=R, we always assume B(±)=limt±B(t) exist and JB(±) are both hyperbolic, that is

    σ(JB(±))iR=. (1.11)

    Let H=L2(I,C2n) and E is W1,2(I,C2n) which satisfied some boundary conditions. Let

    A:=Jddt:EHH.

    and B:HH be the multiplicity operator of B(t). Let As=AsB for sR, then AsFS(H). For gM(H) which satisfies

    g(E)=E,gAg=A,gBg=B, (1.12)

    we have gAsg=As. By constructing g, we get the spectral flow decomposition of sf(As). We list 6-cases which are common in applications of Hamiltonian systems. Our results generalize all the previous results, especially for the reversible symmetry of heteroclinic orbits (Case 5 and 6). Our result is new. Please see Section 4 for the detail.

    It is well known that spectral flow is equal to Maslov index, and this is also true for the unbounded domain, see [6,27,26,7,15] and reference therein. The Maslov index is associated integer to a pair of continuous path f(t)=(L1(t),L2(t)), tI, in Lag(2n)×Lag(2n) [6]. From the decomposition of spectral flow, we get the decomposition of Maslov index. Please refer to Section 5 for the detail. For reader's convenience, we give a brief review for the Maslov index and spectral flow in the Appendix.

    This paper is organized as follows. We prove Lemma 1.1 in Section 2 and Theorem 1.3 in Section 3. In Section 4, we list 6-cases of decompositions in Hamiltonian systems. In Section 5, we give some cases of the Bott-type iteration formulas. At last, we briefly review the basic properties of spectral flow and Maslov index in the Section 6.

    Let V be a closed subspace of H, and PV be the orthogonal projection from H to V. For AC(H), we denote the operator PVAPV:VV by AV. Obviously, if AS(H) then AVS(V).

    Definition 2.1. Let A:[a,b]FS(H) be a continuous curve. We call A(t) is a positive curve if {t,kerA(t)0} is a distinct set and

    sf(A(t);[0,1])=a<tbdimker(A(t)). (2.1)

    Let AFS(H) and BL(H)S(H), then A+tBFS(H) with tR. Note that it is positive if B|ker(A+tB)>0 for any t{t|ker(A+tB)0}. For example, A+tI is a positive curve with AFS(H) for tR.

    Let SFS(H) be a path connected subset. We assume there exists KL(H) such that (Kx,x)>0,xH and for any AS, there is a neighborhood U of A, and ϵ>0 such that B+tKS,t[0,ϵ] for each BU. Then A+tK,t[0,ϵ] is a positive curve in FS(H). Let {Hk},1kn be a family of Hilbert spaces and fk:SFS(Hk) be a family of continuous maps.

    We assume that

    (a) For any AS, fk(A+tK),t[0,ϵ] is a positive path in FS(Hk).

    (b) For any AS, 1kndim kerfk(A)=dim kerA.

    Then we have the following lemma.

    Lemma 2.2. Let AC([0,1],FS(H)) and satisfies condition (a) and (b), we have

    sf(A(t);t[0,1])=1knsf(fk(A(t));t[0,1]). (2.2)

    Proof. Since the spectral flow satisfies the path additivity property, we only need to prove (2.2) locally. Let hk(s,t)=fk(A(t)+sK), t[0,1],s[0,ϵ], then for any t[0,1], hk(s,t) is a positive curve with 1kn. Let t0[0,1], since (Kx,x)>0 for xkerA(t0), there is δ>0 such that

    dim ker(A(t0)+δK)=0.

    It follows that dim ker(hk(δ,t0))=0 for 1kn. Note that A(t0)+δK is a Fredholm operator, so there is δ1>0 such that

    dim ker(A(t)+δK)=0,t[t0δ1,t0+δ1].

    It follows that dim ker(hk(δ,t))=0 for t[t0δ1,t0+δ1], 1kn. Then we have

    {sf(A(t)+δK,t[t0δ1,t0+δ1])=0sf(hk(δ,t),t[t0δ1,t0+δ1])=0.

    By homotopy invariance of spectral flow, we have

    sf(A(t);t[t0δ1,t0+δ1])=sf(A(t0δ1+sK);s[0,δ])sf(A(t0+δ1+sK);s[0,δ]) (2.3)

    and

    sf(hk(0,t);t[t0δ1,t0+δ1])=sf(hk(s,t0δ1);s[0,δ])sf(hk(s,t0+δ1);s[0,δ]). (2.4)

    Note that A(t0±δ1)+sK, hk(s,t0±δ1),1kn are positive paths. It follows that

    sf(A(t0±δ1)+sK;s[0,δ])=0<sδdim ker(A(t0±δ1)+sK)=0<sδ1kndim ker(hk(s,t0±δ1))=1knsf(hk(s,t0±δ1);s[0,δ]).

    This completes the proof.

    Please note that Lemma 2.2 can be considered as a generalization of direct sum property of spectral flow.

    In the next, we will prove that the spectral flow is invariant under the cogredient. The next Lemma is contained in [13], but for reader's convenience, we give details here.

    Lemma 2.3. Let E be the domain of AFS(H2). If ML(H1,H2) is invertible, then MAMFS(H1) with domain M1(E).

    Proof. Since AFS(H2) with domain E, we have dim kerA,dim (H2/im A)<+. Since M is invertible, we have ker(MAM)=ker(AM)=M1kerA. Then M1 induce an isomorphism from kerA to ker(MAM). Note that im(MAM)=Mim(A). Then M induce an isomorphism from H2/im(A) to H1/im(MAM). So MAM is a Fredholm operator.

    Since AFS(H2) with domain E, we see that for each xM1, (AMx,My)=(Mx,AMy) if and only if yM1E. It follows that (MAM)=MAM with domain M1E. Then we can conclude that MAMFS(H1).

    Recall that the gap topology can be induced by the gap distance ˆδ. Let X be a Banach space. Let M,N be two closed linear subspaces of X. Denote by SM the unit sphere of M. Then gap distance is defined as

    ˆδ(M,N)=max{δ(M,N),δ(N,M)}, (2.5)

    where

    δ{M,N}:={supuSMdist(u,N),ifM{0}0,ifM={0}.

    The gap distance has the following properties:

    Lemma 2.4. Let X,Y be two Hilbert spaces. Let M,N be two closed linear subspaces of X. Let P,QL(X,Y). Then ˆδ(PM,QN)ˆδ(M,N)max{P,Q}+PQmax{P1,Q1}.

    Proof. Without loss of generality, we assume that M,N{0}, and let d1=ˆδ(M,N). Let xPM with x=1, we choose yN such that P1xy=dist(P1x,N), then we have yP1xP1. Note that

    xQyxPy+QyPyPP1xy+QPyPdist(P1x,N)+QPP1Pδ(M,N)+QPP1.

    It follows that δ(PM,QN)Pδ(M,N)+QPP1. Similarly, we have δ(QN,PM)Qδ(N,M)+QPQ1. This conclude the proof.

    Lemma 2.5. Suppose MsC([0,1],L(H1,H2)), AsC([0,1],FS(H2)), then MsAsMsC([0,1],FS(H1)).

    Proof. We only need to show that MsAsMs is a continuous curve with the gap topology. Let Es be the domain of As. Note that

    Gr(MsAsMs)={(MsAsx,M1sx)|xEs}.

    Let Qs:H2H2H1H1 be (Ms00M1s), then QsC([0,1],L(H2H2,H1H1)), and we also have Gr(MsAsMs)=QsGr(As). Since Qs and Q1s are continuous functions on [0,1], we have Qs>0, Q1s>0 for s[0,1]. Let C1=sup(Qs), C2=sup(Q1s). For s0,s[0,1], by Lemma 2.4, we have

    ˆδ(Gr(Ms0As0Ms0,MsAsMs)=ˆδ(Qs0Gr(As0),QsGr(As))C1ˆδ(As0,As)+C2QsQs0.

    By the continuity of As and Qs, we see that for any ϵ>0 there is δ1>0 such that for any s(s0ϵ,s0ϵ), we have ˆδ(Gr(As0),Gr(As))<ϵ/(2C1) and QsQs0<ϵ/(2C2). Then we have ˆδ(Gr(Ms0As0Ms0,MsAsMs)<ϵ. This completes the proof.

    Now we give the proof of Lemma 1.1.

    Proof of Lemma 1.1. Please note that (1.1) is from Lemma 2.5. We first prove the case MsM. Let S=FS(H2), K=I, f(A)=MAM. Please note that

    dim ker(MAM)=dim (M1kerA)=dim kerA

    for each AFS(H2). Furthermore, we have ddtM(A+tI)M|=MM>0, so M(A+tI)M is a positive curve. Then by Lemma 2.2, we have

    sf(As;s[a,b])=sf(MAsM;s[a,b])forML(H1,H2).

    Now we consider the two family Ma+t(sa)AsMa+t(sa), (t,s)[0,1]×[a,b]. By the homotopy invariance property of spectral flow, we have

    sf(MaAsMa)=sf(MsAsMs)sf(Ma+t(ba)AbMa+t(ba)).

    Note that dim kerMa+t(ba)AbMa+t(ba) is a constant which implies

    sf(Ma+t(ba)AbMa+t(ba))=0.

    It follows that

    sf(MaAsMa)=sf(MsAsMs).

    This completes the proof.

    As an example, we consider the one parameter family of linear Hamiltonian systems

    ˙z(t)=JBs(t)z(t),(s,t)[0,1]×[0,T], (2.6)

    where B(t)C([0,1]×[0,T],S(R2n)). The boundary condition is given by

    (xs(0),xs(T))ΛsLag(4n),

    where we assume Λs is continuous depend on s.

    Let As=Jddt|E(Λs). It is a path of self adjoint operators on H:=L2([0,T],C2n) with domain

    E(Λs)={xW1,2([0,T],C2n),(x(0),x(T))Λs}.

    We define Bs by (Bsx)(t)=Bs(t)x(t). It is well known that As,AsBsFS(H) with domain Es. Let γs(t) be the fundamental solution of (2.6), i.e.

    ˙γs(t)=JBs(t)γs(t), (2.7)

    then

    γs(t)Sp(2n):={PL(R2n),PJP=J},

    which implies Gr(γs(T))Lag(4n). The following formula which gives the relation of spectral flow and Maslov index (please refer to Theorem 6.1)

    sf(AsBs)=μ(Λs,Gr(γs(T))).

    Let Ps(t)C1([0,1]×[0,T],Sp(2n)), then PsC1([0,1],L(H)), hence

    (Ps)1(AsBs)P1sFS(H)

    with domain

    PsEs={xW1,2([0,T],C2n),(x(0),x(T))ˆPs(T)Λs},

    where ˆPs(t)=diag(In,Ps(t)). Direct calculation shows that

    (Ps)1(Jddt|E(Λs)Bs)P1s=AsˆBs,

    where ˆBs(t)=J˙Ps(t)P1s(t)+(Ps(t))1B(t)P1s(t). From Lemma 1.1, we have

    sf(Jddt|E(ˆPs(T)Λs)ˆBs)=sf((Ps)1(AsBs)P1s)=sf(AsBs). (2.8)

    From (6.6), we can express the left of (2.8) as Maslov index. In fact, the fundamental solution is Ps(t)γs(t), and the boundary conditions is given by (ˆPs(T)Λs. Hence we have

    sf(Jddt|E(ˆPs(T)Λs)ˆBs)=μ(ˆPs(T)Λs,ˆPs(T)Gr(γs(T))).

    Formula (2.8) implies that

    μ(Λs,Gr(γs(T)))=μ(ˆPs(T)Λs,ˆPs(T)Gr(γs(T))),

    which is just the symplectic invariance property (6.4) of Maslov index.

    In this section, we will prove the decomposition formula for spectral flow. Suppose gM(H) with σ(g)={λ1,,λn}, then

    H=1inHλi, (3.1)

    where Hλi:=ker(gλi)m for large enough m. Note that (λλ1)m and (λλ2)m are coprime, then there are polynomials p1,p2 such that p1(λ)(λλ1)m+p2(λ)(λλ2)m=1. For each xHλ1Hλ2, we have

    x=p1(g)(gλ1)mx+p2(g)(gλ2)mx=0.

    Similarly we have HλiHλj=0 with ij. So the decomposition (3.1) is a inner direct sum.

    Lemma 3.1. gM(H) if and only if there exist λ1,,λnC such that Πni=1(gλi)m=0.

    Proof. We only need to show that gM(H) if Πni=1(gλi)m=0. Let Gl(λ) be the polynomial Πl1i=1(λλi)mΠni=l+1(λλi)m. Then G1,G2,,Gn are coprime polynomials. It follows that there are polynomials ai(λ),(1in), such that

    ni=1ai(λ)Gi(λ)=1.

    It follows that ni=1ai(g)Gi(g)=Id. Then we can conclude that

    H=1inGi(g)H.

    We also have (gλi)mGi(g)H=Πni=1(gλi)mH=0, which implies (3.1).

    We have the following lemmas.

    Lemma 3.2. Let AFS(H) with domain E. Suppose gM(H), which satisfied

    gAg=A,gE=E,

    then Hλ,Hμ are A-orthogonal if λˉμ1, i.e.

    (Ax,y)=0,ifxHλE,yHμE. (3.2)

    Proof. Let xker(gλ)mE, yker(gμ)nE with m,n1. We see that (Ax,y)=0 if m+n=2. In fact,

    (Ax,y)=(Agx,gy)=λˉμ(Ax,y)

    implies (Ax,y)=0 since λˉμ1. Assume that (Ax,y)=0 if m+nk. Note that (gλ)xker(gλ)m1E, (gμ)xker(gμ)n1E, gxker(gλ)mE and gyker(gμ)mE. If m+n=k+1, We have

    (Ax,y)=(Agx,gy)=(A(gλ)x,gy)+(Aλx,(gμ)y)+λˉμ(Ax,y)=λˉμ(Ax,y).

    Since λˉμ1, we have (Ax,y)=0. By induction, we have (Ax,y)=0 with xHλE and yHμE. This complete the proof.

    Lemma 3.3. Under the condition of Lemma 3.2, we have kerA=1inkerAHi and E=1inEHi.

    Proof. Note that E is a invariant subspace of g. Then Π1in(gλi)m=0 on E. It follows that E=1inker(g|Eλi)m=1inEHi. We have

    gAg(kerA)=AkerA=0.

    It follows that g(kerA)kerA. So kerA is a invariant subspace of g. Similarly, we have kerA=1inkerAHi. This complete the proof.

    For AC(H), assume that H=1ikHi, where all of Hi are closed subspaces of H. Let E be the domain of A and assume that E=1ikEHi. Hi, Hj are A-orthogonal if ij. Recall that we set

    Fλ={Hλ,ifλU;Hλ+Hˉλ1,ifλU,

    then we have H=1ikFλi and Fλi,Fλj are A-orthogonal if ij.

    Let X=1ikFλi, we define an inner product on X:

    ((x1,x2,,xk),(y1,y2,,yk))=1ik(xi,yi),

    where (xi,yi) is the inner product in H. Then X is a Hilbert space and the map

    M:(x1,x2,,xk)1ikxi

    is a homeomorphism from X to H.

    Please note that A|Fλi is the map MAM:M1FλiM1(Fλi). It is a self-adjoint Fredholm operator on M1Fλi with domain M1(EFλi). It follows that

    ker(A|Fλi)=ker(AM)M1(Fλi)=M1(kerAFλi).

    Proposition 3.4. Suppose gM(H), AsC([0,1],FS(H)) with fixed domain E and gE=E. We assume gAsg=As of s[0,1], then we have

    sf(As)=sf(As|Fλ1)++sf(As|Fλk). (3.3)

    Proof. By Lemma 1.1, we have MAsMC([0,1],FS(X)), and

    sf(As)=sf(MAsM).

    Note that X=1ikFλi is an orthogonal decomposition. By the Direct sum property of spectral flow, we have

    sf(As)=sf(MAsM)=1iksf(As|Fλi).

    This complete the proof.

    Lemma 3.5. If λU then we have

    sf(As|Fλ)=12(dimker(A1|Fλ)dimker(A0|Fλ)). (3.4)

    Proof. Recall that As|Fλ is the operator MAsM:M1(Fλ)M1(Fλ) and M1(Fλ)=M1Hλ+M1Hˉλ1. We also have M1HλM1Hˉλ1. Let Q be the map x+yx+y with xM1Hλ,yM1Hˉλ1. Then Q is invertible and Q=Q. Let x1,x2M1(FλE), y1,y2M1(Fˉλ1E). We have

    (QMAsMQ(x1+y1),(x2+y2))=(MAsM(x1+y1),(x2+y2)).

    It follows that As|Fλ=Q(As|Fλ)Q. Then by Lemma 1.1, we have

    2sf(As|Fλ)=sf(As|Fλ)+sf(QAs|FλQ)=sf(As)+sf(As)=dimker(A1|Fλ)dimker(A0|Fλ).

    The lemma then follows.

    Proof of Theorem 1.3. By Proposition 3.4 and Lemma 3.5, we only need to show that

    12(dimker(A1|ˆF)dimker(A0|ˆF))=λU12(dimker(A1|Fλ)dimker(A0|Fλ)).

    In fact kerA1|ˆF=kerA1ˆF. By Lemma 3.3, we see that

    kerA1ˆF=λUker(A1)Fλ.

    It follows that dimker(A1|ˆF)=λUdimker(A1|Fλ). It is also true for A0. The theorem then follows.

    Corollary 3.6. Under the condition of Theorem 1.3, if σ(M)U=, then

    sf(As)=12(dimker(A1)dimker(A0)). (3.5)

    If the path is closed, then

    sf(As)=0.

    Remark 3.7. In the case B is compact with respect to A, the spectral flow AsB is only depend on the end points, thus we define the relative Morse index by (follows [27])

    I(A,AB)=sf(AsB;s[0,1]). (3.6)

    Especially, when A is positive, then I(A,AB)=m(AB) is just the Morse index of AB, i.e. the total number of negative eigenvalues. It is obvious that Theorem 1.3 and Corollary 3.6 give the decomposition formula of relative Morse index and Morse index.

    In this section, we will give the applications for Hamiltonian systems. We list 6 cases which are common in applications.

    For ΛLag(4n), we consider the solution of the flowing linear Hamiltonian systems

    ˙z(t)=JB(t),(z(0),z(T))Λ, (4.1)

    where B(t)C([0,T],S(R2n)). Recall that A=Jddt is self adjoint operator on H:=L2([0,T],C2n) with domain

    EΛ={xW1,2([0,T],C2n),(x(0),x(T))Λ},

    then A,ABFS(H). We will construct gM(H) such that

    gAg=A,gBg=B,gEΛ=EΛ. (4.2)

    In order to make gEΛ=EΛ, g is always assumed to preserve the boundary condition, that is gΛ=Λ which means

    ((gx)(0),(gx)(T))Λif(x(0),x(T))Λ.

    Hence we have

    g(AsB)g=AsB,sR.

    and get the decomposition formula (1.7).

    It is well known that for PSp(2n), if λσ(P), then ˉλ,λ1,ˉλ1σ(P) and possess the same geometric and algebraic multiplicities [23]. Case 1 is given by symplectic matrix.

    Case 1. For PSp(2n), and satisfied PΛ=Λ which means if (x(0),x(T))Λ, then (Px(0),Px(T))Λ. Let

    (gx)(t)=Px(t), (4.3)

    then it is obvious that (gx)(t)=Px(t), gAg=A, gΛ=Λ. Moreover, we assume PB(t)P=B(t), then gBg=g, hence we have (4.2). It is obvious that gM(H) and

    σ(g)=σ(P).

    Let Vλ=ker(Pλ)2n, then Hλ=L2([0,T],Vλ).

    Case 2. For SSp(2n), we consider the S-periodic solution of (4.1), that is

    z(0)=Sz(T), (4.4)

    and moreover we assume

    SB(0)S=B(T). (4.5)

    We assume (4.1) with S-periodic boundary conditions admits a Zk symmetry. More precisely, let PSp(2n) and PS=SP, the group generator g is defined by

    (gx)(t)={Px(t+Tk),t[0,k1kT];S1Px(t+TkT),t[k1nT,T]. (4.6)

    Easy computation show that gL(H) and gE=E. By direct computation, we get the adjoint operator g.

    Lemma 4.1. The adjoint operator g is given by

    (gx)(t)={P(S)1x(t+TTk),t[0,Tk];Px(tTk),t[Tk,T]. (4.7)

    Proof. Let yL2([0,T],C2n). We see that

    k1kT0(Px(t+T/k),y(t))dt=TT/k(x(t),Py(tT/k))dt,

    and

    Tk1kT(S1Px(t+T/kT),y(t))dt=T/k0(x(t),P(S)1y(t+TT/k)).

    Then we have checked gx,yL2=x,gyL2 for each x,yL2([0,T],C2n). We assume B(t) satisfied

    B(t)={P(S)1B(t+TTk)S1P,t[0,Tn];PB(tTk)P,t[Tn,T]. (4.8)

    Please note that (4.8) implies (4.5), and (4.2) is satisfied. Since

    (gkx)(t)=S1Pkx(t),

    which is a multiplicity operator on H. Then

    σ(gk)=σ(S1Pk).

    To simplify the notation, for ΩC, we define

    Ω1k={zC,zkΩ}.

    By this notation, we have σ(g)(σ(S1Pk))1k. For λσ(g), Hλ=ker(gλ)2n.

    Case 3. We consider the generalized reversible symmetry. We call a matrix M anti-symplectic if it satisfied

    MJM=J. (4.9)

    We denote by Spa(2n) the set of anti-symplectic matrices. For M1,M2Spa(2n) and M3Sp(2n), then it is obvious that

    M1M2Sp(2n),M1M3Spa(2n).

    We list some basic property of Spa(2n) follows.

    Lemma 4.2. If MSpa(2n), λσ(M), then ˉλ,λ1,ˉλ1σ(M) and possess the same geometric and algebraic multiplicities.

    Proof. Note that M=JM1J1. Let λC{0}. It follows that (Mλ)=J(M1+λ)J1. Then we have

    dim ker(Mˉλ)=dim ker(Mλ)=ker(M1+λ)=dim ker(M+λ1).

    And we also have

    ¯det(Mˉλ)=det(M1λ)=det(M1λ)det(M+λ1).

    It follows that dimker(Mˉλ)2n=dim ker(M+λ1)2n. So λ,λ1σ(M) and posses the same geometric and algebraic multiplicities. Specially, if M is a real matrix, λ,ˉλ,λ1,ˉλ1σ(M) and posses the same geometric and algebraic multiplicities.

    Similar with the symplectic matrix, we have the following results.

    Lemma 4.3. Let MSpa(2n). Let λ,μσ(M). Let Vλ=ker(Mλ)2n, Vμ=ker(Mμ)2n. Then we have (Jx,y)=0 if λˉμ1.

    Proof. Let xker(Mλ)p, yker(gμ)q with p,q0. We see that (Jx,y)=0 if p+q=0. Assume that (Jx,y)=0 if p+qk. Note that (Mλ)xker(Mλ)p1, (Mμ)xker(Mμ)q1. If p+q=k+1, We have

    (Jx,y)=(JMx,My)=(J(Mλ)x,My)(Jλx,(Mμ)y)λˉμ(Jx,y)=λˉμ(Jx,y).

    Since λˉμ1, we have (Ax,y)=0. By induction, we have (Jx,y)=0 with xker(Mλ)2n and yker(Mμ)2n. This completes the result.

    We assume (4.1) admits a N-reversible symmetry. More exactly, for NSpa(2n), let

    (gx)(t)=Nx(Tt). (4.10)

    We assume gΛ=Λ, that is

    (Nx(T),Nx(0))Λ,if(x(0),x(T))Λ, (4.11)

    then gE=E. Obviously, (gx)(t)=Nx(Tt). We assume

    NB(Tt)N=B(t), (4.12)

    then (4.2) is satisfied.

    Please note that for the S-periodic boundary conditions, NS1=SN implies gΛ=Λ. Separated boundary conditions is another kind of important boundary conditions. More precisely, we consider solution of (4.1) under the boundary conditions

    x(0)V0,x(T)V1,

    where V0,V1Lag(2n). In this case g is defined by (4.10), for NSpa(2n) which satisfied

    NV0=V1,NV1=V0,

    then gΛ=Λ.

    Obviously, we have

    (g2x)(t)=N2x(t),

    hence gM(H) and

    σ(g)=(σ(N2))12.

    For λσ(g), Hλ=ker(gλ)2n.

    From theorem 1.3, we get the decomposition of spectral flow. Since on the finite interval B is relative compact with respect to A, then from Remark 3.7, we have

    I(A,AB)=mi=1I(A|Fλi,A|FλiB|Fλi)+12(dimker((AB)|ˆF)dimker(A|ˆF)). (4.13)

    All the above discussions can be applied to Sturm-Liouville systems, so we don't give the details in all cases, instead we only consider the following two cases which have clear background.

    Case 4. We consider the one parameter family Sturm-Liouville system

    (Gs(t)˙x)+Rs(t)x(t)=0,x(0)=Sx(T),˙x(0)=S˙x(T),s[0,1] (4.14)

    where SL(Rn). We suppose Gs(t),Rs(t)S(n), instead of the Legendre convex condition we only assume Gs(t) is invertible. Let PL(Rn) and PS=SP, the group generator g is defined as same form of (4.6). We assume

    Gs(t)={P(S)1Gs(t+TTn)S1P,t[0,Tn];PGs(tTn)P,t[Tn,T]. (4.15)
    Rs(t)={P(S)1Rs(t+TTn)S1P,t[0,Tn];PRs(tTn)P,t[Tn,T]. (4.16)

    Then

    g((Gs(t)ddt)+Rs)g=(Gs(t)ddt)+Rs,

    and we could give the decomposition of spectral flow from Theorem 1.3.

    This case includes the Bott-type formula of Semi-Riemann manifold [17]. Let c be a space-like or time-like closed geodesic on n+1 dimension Semi-Riemann manifold (M,g) with period T. We choose a parallel g-orthonormal frame ei(t) alone c, and satisfied g(ei(t),˙c(t))=0. Assume

    g(ei,ej)={0,ij;1,1i=jnν;1,nνi=jn

    and

    (e1(0),,en(0))=(e1(T),,en(T))P,

    then PTGP=G with G=diag(Inν,Iν).

    Writing the ˙c g-orthogonal Jacobi vector field alone c as J(t)=ni=1ui(t)ei(t), then we get the linear second order system of ordinary differential equations

    G¨u+R(t)u(t)=0,t[0,T], (4.17)

    where R is symmetry matrices which is get by the curvature. A period solution is satisfied

    u(0)=Pu(T).

    For ωU, let

    E2ω,T:={uW2,2([0,T],Cn)|u(0)=ωPu(T),˙u(0)=ωP˙u(T)},

    then

    Aωs,T=Gd2dt2+R(t)+sG

    are self-adjoint Fredholm operators on L2([0,T],Cn) with domain E2ω,T.

    It has proved in [17] that there exist s0 sufficiently large such that for ss0, Aωs is non-degenerate. The ω spectral index of c is defined by

    iωspec(c):=sf(Aωs,T;s[0,+)).

    Let c(m) be the m-th iteration of c, then

    iωspec(c(m)):=sf(Aωs,mT;s[0,+)).

    Let S=Pm, Gs=G, Rs=R(t)+sG, (gu)(t)=Pu(t+T), then from Case 4. we get the decomposition of spectral flow. Since gm=ω, then

    σ(g)={ω}1m.

    Let ωj be the m-th root of ω, then

    Hωj=ker(gωj)={u(t)=ωjPu(t+T)}.

    We have

    sf(Aωs,mT;s[0,+))=ωmj=ωsf(Aωjs,T;s[0,+)).

    Hence we get the Bott-type iteration formula [17]

    iωspec(c(m))=ωmj=ωiωjspec(c). (4.18)

    Obviously, we can consider the case of reversible symmetry, since it is similar, we omit the detail.

    Case 5. Now we consider the case of heteroclinic orbits, for the one parameter family linear Hamiltonian system

    ˙x=JBs(t)x(t),tR,s[0,1]. (4.19)

    Let Bs(±)=limt±Bs(t) exist and satisfied the hyperbolic condition, i.e.

    σ(JBs(±))iR=,s[0,1].

    Let H=L2(R,C2n), it is well known that ABsFS(H) with domain E=W1,2(R,C2n).

    We assume

    NBs(t)N=Bs(t),

    then gBsg=g. Easy computation show that gAg=A, then we have

    g(ABs)g=ABs,s[0,1].

    Obviously, we have

    (g2x)(t)=N2x(t),

    hence gM(H) and then

    σ(g)=(σ(N2))12.

    For λσ(g), Hλ=ker(gλ)2n, then we get the decomposition formula from Theorem 1.3.

    In the case N2=I, let

    H±=kergI={xH,Nx(t)=±x(t)}, (4.20)

    we have

    sf(ABs)=sf(A|H+Bs|H+)+sf(A|HBs|H). (4.21)

    Now we consider the case of homoclinic orbits. For the linear Hamiltonian system

    ˙x(t)=JB(t)x(t),tR, (4.22)

    assume limt±B(t)=B and JB is hyperbolic. In this case, BB is relative compact with respect to AB, where A=Jddt. The relative index is defined by

    I(AB,AB)=sf(AB+s(BB)).

    In the case that (4.22) is a linear system of homoclinic orbits z, the index of z is defined by [7]

    i(z)=I(AB,AB).

    Assume NB(t)N=B(t) and N2=I, from (4.21), we have

    I(AB,AB)=I(A|H+B|H+,A|H+B|H+)+I(A|HB|H,A|HB|H). (4.23)

    Case 6. We consider the one parameter Sturm-Liouville system on R

    (G(t)˙x)+R(t)x(t)=0,tR (4.24)

    where G(t),R(t)S(n). We assume there exist δ>0, such that G(t)>δ for tR, and there exist T,δ1,δ2>0 such that

    δ1<R(t)<δ2,fort|T|. (4.25)

    The Morse index of A:=(G(t)ddt)+R(t) is defined by the maximum dimension of the subspace such that A restricted on it is negative definite. It is well known that m(A) is finite under the condition (4.25). Obviously

    m(A)=sf(A+sG(0);s[0,+)).

    We assume there exist NSpa(n), such that

    NR(t)N=R(t),NG(t)N=G(t).

    Let

    gx(t)=Nx(t),

    then g(A+sG(0))g=A+sG(0). Since g2=N, then σ(g)=(σ(N))12, and we get the decomposition formula of Morse index.

    m(A)=ji=1m(A|Fλi)dimkerA|ˆF.

    In the case N2=I, we have

    m(A)=m(A|H+)+m(A|H). (4.26)

    In this section, we will give some Bott-type iteration formulas of Maslov-index. In what follows g is pointed as the Matrix-like operator which appears in cases 2, 3, 5. To avoid discussing too many technique details, we only consider the case

    gm=ωI

    for some ωU. Let ω1,,ωm be the m-th roots of ω, and let Hi=ker(gωi).

    In cases 2, 3, 5, H(I)=L2(I,C2n) where I is some finite interval or R, and E is W1,2(I,C2n) which satisfies some boundary conditions. We choose a subinterval ˆII, and let T be the restriction map from H to H(ˆI):=L2(ˆI,C2n), that is

    (Tf)(x)=f(x),xˆI. (5.1)

    ˆI is called a fundamental domain if for any i=1,,m, T is a bijection from Hi to L2(ˆI,C2n). Recall that Ei=EHi is domain of As|Hi, then TEi is closed in the W1,2 norm. Let ˆAis=JddtBs be the operator on H(ˆI) with domain TEi.

    Lemma 5.1. Suppose for s[a,b], ˆAis is self-adjoint and dim ker(As|Hi)=dim ker(ˆAis), then

    sf(As|Hi;s[a,b])=sf(ˆAis;s[a,b]). (5.2)

    Proof. Note that (As+tId)|Hi=PHi(As+tId)PHi=PHiAsPHi+tPHi. Since AsFS(H), there is ϵ>0, such that for each t[0,ϵ], (As+tId)FS(H). Then (As+tId)|Hi is a positive curve on FS(Hi) with t[0,ϵ]. Note that JddtBs+tId is also a positive curve on FS(H(ˆI)), then (5.2) is from Lemma 2.2. This completes the proof.

    Now we consider Case 2. We assume ωS=Pm, then

    Hi=ker(gωi)={xH,ωix(t)=Ps(t+Tm)}.

    We choose ˆI=[0,Tm] be the fundamental domain, then

    TEi={xW1,2([0,Tm],C2n),ωix(0)=Ps(Tm)}.

    From Corollary 6.2, we have

    sf(As)=μ(Gr(ωS),Gr(γ(t));t[0,T]),sf(ˆA(i)s)=μ(Gr(ωi),Gr(γ(t));t[0,T/m]).

    Then we have

    μ(Gr(S1),Gr(γ(t));t[0,T])=mi=1μ(Gr(ωiP1),Gr(γ(t));t[0,T/m]). (5.3)

    Remark 5.2. In the case P=I2n, (5.3) is the standard Bott-type iteration formula for Hamiltonian systems, please refer [22], [23] for the detail. In the case PSp(2n)O(2n), (5.3) is established by Hu and Sun [18], the general case is proved by Liu and Tang [19].

    For Case 3. We assume NSpa(2n) and N2=I. Since N is anti-symplectic, we have (Jx,x)=(JNx,Nx)=(Jx,x)=0 with xker(NI). So ker(NI) is a Lagrange subspace of the symplectic space (R2n,J). Recall that (gx)(t)=Nx(Tt) and gΛ=Λ. Let

    H±=kergI={xH,Nx(Tt)=±x(t)},

    then ˆI=[0,T/2] is a fundamental domain.

    For the S-periodic boundary conditions, that is x(0)=Sx(T), then

    TE±={xW1,2([0,T/2],C2n),x(0)V±(SN),x(T/2)V±(N)}.

    We have

    μ(Gr(S),Gr(γ(t));t[0,T])=μ(V+(N),γ(t)V+(SN);t[0,T/2])+μ(V(N),γ(t)V(SN);t[0,T/2]).

    Similarly, if the boundary condition is given by x(0)V0,x(T)V1 for V0,V1Lag(2n) and NV0=V1, NV1=V0. Similar discussion with above, we have

    μ(V1,γ(t)V0;t[0,T])=μ(V+(N),γ(t)V0;t[0,T/2])+μ(V(N),γ(t)V0;t[0,T/2]). (5.4)

    Remark 5.3. To our knowledge, in the case S=I2n, N2=I, (5.4) is first established by Long Zhang and Zhu [24]. A deep study is given by Liu and Zhang [20] [21]. Hu and Sun had established the case of S,NO(2n), for the case of dihedral group please refer [16].

    Now we consider Case 5. For λ[0,1], let γλ(τ,t) be the fundamental solution of (4.19), that is

    ˙γλ(τ,t)=JBλ(t)γλ(τ,t),γλ(τ,τ)=I2n. (5.5)

    Let

    Vsλ(τ):={vR2n|limτγλ(τ,t)v=0},Vuλ(τ):={vR2n|limτγλ(τ,t)v=0},

    be the stable and unstable paths, then Vsλ(τ),Vuλ(τ)Lag(2n).

    Recall that in this case, H=L2(R,R2n) and

    Aλ:=JddtBs(t):E=W1,2(R,R2n)HH.

    Let R be the fundamental domain, then

    TE±={xW1,2(R,R2n),x(0)V±(N)}.

    Let A±λ be the restricted operators on H(R) with domain TE±.

    From Prop 3.7 of [15], we have

    sf(Aλ;λ[0,1])=μ(Vsλ(0),Vuλ(0);λ[0,1]).

    Similarly

    sf(A±λ;λ[0,1])=μ(V±(N),Vuλ(0);λ[0,1]).

    Then we have

    μ(Vsλ(0),Vuλ(0);λ[0,1])=μ(V+(N),Vuλ(0);λ[0,1])+μ(V(N),Vuλ(0);λ[0,1]). (5.6)

    In the case of homoclinic orbits, let Aλ=ABλ(BB), then from [7] or [15] the index satisfied

    sf(Aλ;λ[0,1])=μ(Vs(+),Vu(t);tR)=μ(Vs(t),Vu(t);tR+). (5.7)

    We have

    sf(A±λ;λ[0,1])=μ(V±(N),Vu(t);tR)=μ(V±(N),Vu(t);tR+). (5.8)

    Compare (5.7) and (5.8), we have

    μ(Vs(+),Vu(t);tR)=μ(V+(N),Vu(t);tR)+μ(V(N),Vu(t);tR), (5.9)

    or equivalently

    μ(Vs(t),Vu(t);tR+)=μ(V+(N),Vu(t);tR+)+μ(V(N),Vu(t);tR+). (5.10)

    Obviously, we can use R+ as the fundamental domain, for reader's convenience, we list the formulas below. Here we let A±λ be the restricted operators on H(R+) with domain T(E±).

    sf(A±λ;λ[0,1])=μ(Vsλ(0),V±(N);λ[0,1]). (5.11)
    μ(Vsλ(0),Vuλ(0);λ[0,1])=μ(Vsλ(0),V+(N);λ[0,1])+μ(Vsλ(0),V(N);λ[0,1]). (5.12)

    In the case of homoclinic orbits,

    μ(Vs(t),Vu();tR)=μ(Vs(t),Vu(t);tR+)=μ(Vs(t),V+(N);tR+)+μ(Vs(t),V(N);tR+).

    In study the stability problem of homographic solution in planar n-body problem, Hu and Ou [14] use the McGehee blow up method to get linear heteroclinic system, this system with reversible symmetry if the corresponding central configurations with a symmetry property. Please refer [14] for the detail.

    Spectral flow was introduced by Atiyah, Patodi and Singer in their study of index theory on manifold with boundary [2]. Let {At,t[0,1]} be a continuous path of self-adjoint Fredholm operators on a Hilbert space H. The spectral flow sf{At} of At counts the algebraic multiplicities of the spectral points of At cross the line λ=ϵ with some small positive number ϵ. For reader's convenience, we list some basic properties of spectral flow.

    (Stratum homotopy relative to the ends) If As,λC([a,b]×[0,1],FS(H)), such that dim kerAa,λ and dim kerAb,λ is constant, then

    sf(As,0;s[a,b])=sf(As,1;s[a,b]).

    (Path additivity) If A1,A2C([a,b];FS(H))) such that A1(b)=A2(a), then

    sf(A1tA2t;t[a,b])=sf(A1t;t[a,b])+sf(A2t;t[a,b])

    where denotes the usual catenation between the two paths.

    (Direct sum) If Hi are Hilbert space for i=1,2, and AiC([a,b];FS(Hi))), then

    sf(A1tA2t;t[a,b])=sf(A1t;t[a,b])+sf(A2t;t[a,b]).

    (Nullity) If AC([a,b];FS(H))), then sf(At;t[a,b])=0;

    (Reversal) Denote the same path travelled in the reverse direction in FS(H) by ˆA(t)=A(t). Then

    sf(At;t[a,b])=sf(ˆAt;t[b,a]).

    The spectral flow is related to Maslov index in Hamiltonian systems. We now briefly reviewing the Maslov index theory [1,6,25]. Let (R2n,ω) be the standard symplectic space and Lag(2n) the Lagrangian Grassmanian. For two continuous paths L1(t),L2(t), t[a,b] in Lag(2n), the Maslov index μ(L1,L2) is an integer invariant. Here we use the definition from [6]. We list several properties of the Maslov index. The details could be found in [6].

    (Reparametrization invariance) Let ϕ:[c,d][a,b] be a continuous and piecewise smooth function with ϕ(c)=a, ϕ(d)=b, then

    μ(L1(t),L2(t))=μ(L1(ϕ(τ)),L2(ϕ(τ))). (6.1)

    (Homotopy invariant with end points) For two continuous family of Lagrangian path L1(s,t), L2(s,t), 0s1, atb, and satisfies dimL1(s,a)L2(s,a) and dimL1(s,b)L2(s,b) is constant, then

    μ(L1(0,t),L2(0,t))=μ(L1(1,t),L2(1,t)). (6.2)

    (Path additivity) If a<c<b, then then

    μ(L1(t),L2(t))=μ(L1(t),L2(t)|[a,c])+μ(L1(t),L2(t)|[c,b]). (6.3)

    (Symplectic invariance) Let γ(t), t[a,b] is a continuous path in Sp(2n), then

    μ(L1(t),L2(t))=μ(γ(t)L1(t),γ(t)L2(t)). (6.4)

    (Symplectic additivity) Let Wi, i=1,2 be symplectic space with

    L1,L2C([a,b],Lag(W1))andˆL1,ˆL2C([a,b],Lag(W2)),

    then

    μ(L1(t)ˆL1(t),L2(t)ˆL2(t))=μ(L1(t),L2(t))+μ(ˆL1(t),ˆL2(t)). (6.5)

    The next Theorem give the relation of spectral flow and Maslov index.

    Theorem 6.1.

    sf(AsBs)=μ(Λs,Gr(γs(T))) (6.6)

    The above Theorem is well known [15], we like to give a direct proof here.

    Proof. We use the idea of Lemma 2.2. We only need to prove the theorem locally. Let s0[0,1]. As0Bs0+rI,r[0,1] is a positive path in FS(H). There is ϵ>0 such that ker(As0Bs0+ϵI)=0. Then there is δ>0 such that ker(AsBs+ϵI)=0, s[s0δ,s0+δ]. Without loss of generality, we can assume that

    ker(AsBs+I)=0,s[0,1].

    Let γs,r(t) be the fundamental solution of the equation

    ˙z(t)=J(Bs(t)rI)z(t),(s,t)[0,1]×[0,T],r[0,1]. (6.7)

    Recall that dim (Gr(γs,r(T))Λs)=dim ker(AsBs+rI), then we have

    μ(Λs,Gr(γs,1(T)))=0.

    Then use the homotopy invariant property of spectral flow and Maslov index, we have

    {sf(AsBs,s[0,1])=sf(A0B0+rI)sf(A1B1+rI)μ(Λs,Gr(γs(T)))=μ(Λ0,Gr(γ0,r(T)))μ(Λ1,Gr(γ0,r(T))). (6.8)

    Note that A0B0+rI is a positive path in FS(H), then we have

    sf(A0B0+rI)=0<r1dim ker(A0B0+rI).

    Let Qt((x,γ(t)x),(y,γ(t)y))=<Jγ(t)1˙γ(t)x,y> which is a quadratic form on Gr(γ(t)). Recall that the crossing form of the Lagrangian pair (Λ,Gr(γ(t))) is given by Qt|Gr(γ(t))Λ.

    Note that

    t(γs(t)1sγs(t))=γs(t)1tγs(t)γs(t)1sγs(t)+γs(t)1s(tγs(t))=γs(t)1tγs(t)γs(t)1sγs(t)+γs(t)1s(JBs)γs(t)+γs(t)1JBssγs(t)=γs(t)1s(JBs)γs(t).

    Then we have t(Jγ0,r(t)1rγ0,r(t))=I, and it follows that

    Jγ0,r(t)1rγ0,r(t)=TI.

    Thus we have

    μ(Λ0,Gr(γ0,r(T)))=0<r1dim (Λ0Gr(γ0,r(T)))=0<r1dim (ker(A0B0+rI))=sf(A0B0+rI).

    Similarly

    μ(Λ1,Gr(γ1,r(T)))=sf(A1B1+rI).

    Then by (6.8), we get (6.6).

    From the homotopy invariance of Maslov index, we have

    Corollary 6.2.

    sf(AsB)=μ(Λ,Gr(γ(t)),t[0,T]). (6.9)

    We would like to thank Professor Alessandro Portaluri some helpful discussion with us for the spectral flow.



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