The 1:1 resonance in Hamiltonian systems
Heinz Hanssmann, Igor Hoveijn

TL;DR
This paper investigates the 1:1 resonance bifurcation in two-degree-of-freedom Hamiltonian systems, revealing a co-dimension five unfolding with two moduli parameters, advancing understanding of semisimple resonance cases.
Contribution
It provides a detailed analysis of the 1:1 resonance in Hamiltonian systems, identifying the co-dimension and unfolding parameters, which was previously not well understood.
Findings
Identified the co-dimension of 1:1 resonance as five.
Discovered two moduli parameters in the unfolding.
Connected the normal form symmetry to the frequency ratio.
Abstract
Two-degree-of-freedom Hamiltonian systems with an elliptic equilibrium at the origin are characterised by the frequencies of the linearisation. Considering the frequencies as parameters, the system undergoes a bifurcation when the frequencies pass through a resonance. These bifurcations are well understood for most resonances k:l, but not the semisimple cases 1:1 and 1:-1. A two-degree-of-freedom Hamiltonian system can be approximated to any order by an integrable approximation. The reason is that the normal form of a Hamiltonian system has an additional integral due to the normal form symmetry. The latter is intimately related to the ratio of the frequencies. Thus we study --symmetric systems. The question we wish to address is about the co-dimension of such a system in 1:1 resonance with respect to left-right-equivalence, where the right action is --equivariant. The resultâŠ
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Taxonomy
TopicsAdvanced Differential Equations and Dynamical Systems · Quantum chaos and dynamical systems · Nonlinear Waves and Solitons
The : resonance in Hamiltonian systems
Heinz HanĂmann
Mathematisch Instituut, Universiteit Utrecht, Postbus 80.010, 3508Â TAÂ Utrecht, The Netherlands
Igor Hoveijn
Langewoldlaan 2, 9727Â DDÂ Groningen, The Netherlands
(7 April 2017)
Abstract
Two-degree-of-freedom Hamiltonian systems with an elliptic equilibrium at the origin are characterised by the frequencies of the linearisation. Considering the frequencies as parameters, the system undergoes a bifurcation when the frequencies pass through a resonance. These bifurcations are well understood for most resonances , but not the semisimple cases and . A two-degree-of-freedom Hamiltonian system can be approximated to any order by an integrable approximation. The reason is that the normal form of a Hamiltonian system has an additional integral due to the normal form symmetry. The latter is intimately related to the ratio of the frequencies. Thus we study âsymmetric systems. The question we wish to address is about the co-dimension of such a system in  resonance with respect to left-right-equivalence, where the right action is âequivariant. The result is a co-dimension five unfolding of the central singularity. Two of the unfolding parameters are moduli and the remaining non-modal parameters are the ones found in the linear unfolding of this system.
Contents
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4.1 Equivalence classes for âinvariant Hamiltonian systems
-
4.1.1 Stable âinvariant mappings, co-dimension and unfolding
The case ( resonance) turns out to be surprisingly complicated.
J.J. Duistermaat in [10]
1 Introduction
One of the few available methods to study the dynamics of Hamiltonian systems is to concentrate on the equilibria. The motion itself being trivial by definition, one considers the local dynamics and linearises the vector field. A hyperbolic equilibrium, with no eigenvalues on the imaginary axis, is dynamically unstable and on a sufficiently small neighbourhood the motion is completely determined by the linearisation.
In the elliptic case the non-linear terms cannot be disposed of completely, but lead to normal forms of which one hopes that they capture the essence of the dynamics. The reasons for irremovable terms are the resonances between the eigenvalues on the imaginary axis. Excluding zero eigenvalues, the resonances of lowest order, i.e. the and  resonances, relate double pairs of imaginary eigenvalues.
1.1 Resonant equilibria
In the present paper we concentrate on the  resonance and study an equilibrium around which the Hamiltonian expands as
[TABLE]
where we omit the irrelevant constant term. The Hessian is positive definite and this excludes nilpotent terms. Thus a  resonance is always semisimple. It occurs persistently in âparameter families, cf. [19, 9, 10, 6, 18]. This is in sharp contrast with the  resonance where the Hessian is not definite. Then we have to distinguish a semisimple and a non-semisimple case. Unfolding the latter leads to the Hamiltonian Hopf bifurcation, which occurs persistently in âparameter families, cf. [27, 7, 15]. The semisimple  resonance also occurs persistently in âparameter families, cf. [20, 18, 14]. We expect its unfolding to share features of that of the  resonance.
A comprehensive study of  resonances, excluding the  cases, has been made in [10]. It turns out that all higher order cases are very similar to each other. In general the unfolding co-dimension of the unfolding is two, where one parameter can be considered as a detuning of the resonance and the other is a modulus, see [30, 13]. Exceptions are the resonances and with co-dimensions and , respectively. Again one of the parameters is a detuning and in the case of  resonance, two parameters are moduli. In all cases there is a bifurcation associated to the resonance. In general a pair of stable and unstable periodic solutions branches off from the origin. The and  cases have a slightly different unfolding scenario, see [10, 4, 13, 8]. As mentioned before the non-semisimple or nilpotent  resonance shows a different bifurcation (the Hamiltonian Hopf bifurcation, see [27]) and the bifurcations triggered by the semisimple  resonances are still open.
This paper is organized as follows. In section 1.2 we state an informal version of our main theorem. Although informal it still contains the essential properties of the main theorem. Before proving our main result we review some facts on Hamiltonian systems in section 2. The system we study is in normal form and we discuss the properties we use in section 3, especially the induced âsymmetry. Finally in section 4 we state and in section 5 we prove our main theorem using singularity theory for âequivariant mappings. The concluding section 6 puts our results in context. Our approach fits in the tradition of [10, 27, 9] and it complements [6].
1.2 Informal statement of the main theorem
In order to state our main result we need a few definitions. Here our aim is not full generality, the main theorem is formulated more precisely in section 4.2.
We study a  Hamiltonian system on with standard symplectic form in the neighbourhood of an elliptic equilibrium in  resonance. We may assume that the equilibrium is at the origin, thus the linear part of the Hamiltonian at [math] vanishes. The matrix associated to the linearisation of the Hamiltonian vector field has coinciding pairs of eigenvalues with equal symplectic sign, therefore this matrix has no nilpotent part, see [16]. As a consequence the quadratic part of the Hamiltonian in the  case has Morse index [math]. This contrasts with the  resonance where the corresponding matrix generically does have a nilpotent part, see [27].
As a first step we apply several (symplectic) co-ordinate transformations. The first of these takes the quadratic part of into the form presented in equation (1). Moreover, after a finite number of normal form transformations (see for example [27]), we may assume that a corresponding part of the Taylor expansion of Poisson commutes with . We now make an approximation by restricting to this finite part and call it again. The flow of generates an symmetry group and the fact that and Poisson commute implies that is âsymmetric. The consequences of this approximation are discussed in the remarks following theorem 1.1.
The second step is a reduction with respect to the symmetry. Restricted to the âsphere , the projection mapping involved is a Hopf mapping so the reduced phase space is a âsphere. Then we apply equivariant singularity theory to the map germ and find a universal unfolding subject to non-degeneracy conditions on the coefficients in the higher order terms of . By the nature of our method, we can not hope for more than local results and we exploit this fact by switching to germs, see [3, 26, 28]. Very briefly: a map germ is the collection of mappings equal to one another on an arbitrary small neighbourhood of a given point, say [math]. Map germs are essentially determined by their Taylor expansions or even Taylor polynomials in a sense that is made more precise in section 4.1.1. In the sequel we say mapping but tacitly assume map germ.
In order to proceed we need the generators of the âinvariant functions as co-ordinates. These are given by
[TABLE]
see section 3.1 for more details. The generators are not independent but related by the syzygy . Nevertheless, and can now be expressed as functions of , that is and . The final result is given in the next theorem.
Theorem 1.1**.**
A universal unfolding of the âinvariant Hamiltonian
[TABLE]
is given by the five parameter family ()
[TABLE]
provided that the real coefficients , , , , and satisfy the non-degeneracy condition
[TABLE]
This theorem holds for âsymmetric Hamiltonian systems in  resonance. Let us make a few remarks on its scope.
Remark 1.2**.**
The unfolding terms and can be replaced by any pair from , and . 2. 2.
The reduction of the âsphere defined by \mbox{\tfrac{1}{2}}(q_{1}^{2}+p_{1}^{2}+q_{2}^{2}+p_{2}^{2})=h_{2} to the âsphere is regular if , so every point on the reduced phase space corresponds to an âorbit on the original phase space . 3. 3.
On the reduced phase space the solution curves are defined by . Thereby time parametrisation is lost. Solution curves consisting of a single point on the reduced phase space correspond to periodic orbits on , whereas closed curves on the reduced phase space correspond to âtori on . The former are generically isolated on , but the latter come in âparameter families. 4. 4.
Nonââsymmetric perturbations (i.e. including nonââinvariant terms in the Taylor expansion of ) do affect our result. However, normal form transformations enable us to make these perturbations as small as we wish. Nevertheless their effect is that families of âtori, on , do not survive as such. From kam theory one expects that these families are Cantorised, i.e. the âtori persist as a Cantor subfamily of large âdimensional Hausdorff measure, where the dense set of internal resonances leads to gaps in the parametrisation. Periodic orbits, as long as they are elliptic or hyperbolic, do persist, as do their bifurcations. Thus our result gives information on low periodic orbits of general Hamiltonian systems in  resonance. Homoclinic and heteroclinic connections on the reduced phase space generically do break up under nonââsymmetric perturbations yielding chaotic regions familiar from PoincarĂ© sections of for example the HĂ©nonâHeiles system. 5. 5.
In view of the previous remark, the bifurcation diagram for the equilibrium at [math] on with branches of periodic orbits is valid for general Hamiltonian systems in  resonance.
2 A few facts about Hamiltonian systems
Here we very briefly review some facts from the theory of Hamiltonian systems. We concentrate on . However everywhere in the following sections can be replaced by , a real symplectic manifold. For a thorough treatment we refer to for example [1, 2].
2.1 Symplectic spaces and Hamiltonian systems
Let be a closed, non-degenerate skew symmetric âform on , making a symplectic space. Furthermore let be a function in , then the triple is called a smooth real Hamiltonian system. Now let be the set of smooth vector fields on . The vector field satisfying
[TABLE]
for all , is called the Hamiltonian vector field of . The vector field defines the flow of the Hamiltonian system on , we also call this the flow of . A function is preserved under the flow of the vector field if and only if the Lie derivative of is identically zero. Using we find that the Hamiltonian function is preserved by the flow of because
[TABLE]
The last equality follows from the skew symmetry of .
2.2 Poisson brackets
Let and be in , then we define the Poisson bracket of and as
[TABLE]
It follows from this definition that
[TABLE]
Suppose that the function is preserved under the flow of , then
[TABLE]
and vice verse, so once we have the Poisson bracket we do not need the vector field to determine whether is preserved under the flow of . Furthermore so from which again follows that is preserved under the flow of . The Poisson bracket satisfies Jacobiâs identity whence Hamiltonian vector fields form a Lie algebra; in fact we have
[TABLE]
Thus is a Lie algebra of functions.
2.3 Standard forms
Darbouxâs theorem now states that there are co-ordinates such that becomes constant. Then by applying linear algebra we can bring into a standard form such that
[TABLE]
for all . Here is the standard inner product on and is a linear mapping with which takes the standard form
[TABLE]
on the standard basis . Let us take co-ordinates with respect to this basis, then the Poisson bracket becomes
[TABLE]
Using the Poisson bracket on these co-ordinates we obtain the canonical equations of motion
[TABLE]
for the Hamiltonian . The Poisson bracket allows us to use functions instead of vector fields, which simplifies many computations.
3 Resonant Hamiltonian systems and âsymmetry
On the symplectic space we consider  Hamiltonian systems with an equilibrium at the origin. Furthermore suppose that the linearisation of the corresponding Hamiltonian vector field has resonant imaginary eigenvalues.
When this system has been transformed into normal form it admits an âsymmetry group. Resonant eigenvalues are not generic, but when they appear in parameter families of Hamiltonian systems they are a source of bifurcations. Therefore it is useful to study unfoldings of resonant systems. Most resonances in âdimensional Hamiltonian systems have been studied before, see [10] and references therein. This approach has to be refined for the and  resonances, where the sign is the symplectic sign. See [27] for an extensive study of the so-called nilpotent  resonance which in a parameter family gives rise to the Hamiltonian Hopf bifurcation. Our aim here is to study the resonance. While this case has already been considered in [6], the arguments presented there are incomplete.
A resonant Hamiltonian system naturally leads to an âinvariant system when passing to a normal form truncation. But we may also consider Hamiltonian systems with an externally given symplectic âaction. Our results hold for such systems as well, provided that the âaction satisfies the conditions in the next section.
3.1 âsymmetry related to the resonance
Since we work in the class the Hamiltonian function has an infinite Taylor series. We now put some more structure on these functions by collecting homogeneous terms, turning into a graded Lie algebra. Then we expand
[TABLE]
with homogeneous of degree . The normal form procedure acts in a very nice way on this Lie algebra, for details see [27]. The final result is that for the normal form we have for all and therefore . This means that the normal form of is invariant under the flow of which is generated by . Now we assume that the linear part of the vector field is in resonance, then (the normal form of) is âinvariant with respect to the âaction
[TABLE]
where
[TABLE]
and . The quadratic part of such a Hamiltonian systems reads
[TABLE]
Note that this function has Morse index [math] which is intimately related to the fact that the eigenvalues of the linear part of the corresponding Hamiltonian vector field have equal symplectic sign, see [5].
Every âinvariant âfunction can be written as a function of so called invariants. This is a consequence of far more general results which we now state. We start with a theorem on invariant polynomials.
Theorem 3.1** (Hilbert, Schwartz).**
Let be a compact group which acts linearly on and let denote the set of âinvariant polynomials. Then a finite number of polynomials exist that generate . The form a Hilbert basis and are called generators. Furthermore every âinvariant âfunction can be written as a âfunction of the  generators of .
Unfortunately the function need not be unique for there may be syzygies among the .
Let us now determine the invariants of the âaction associated to the  resonance. These are polynomials on the phase space and they Poisson commute with .
Lemma 3.2**.**
The generators in of the invariants of the âaction associated to the  resonance are given by
[TABLE]
with syzygy .
For a proof we refer to [7].
Thus every âinvariant âfunction on can be written as a âfunction of the Hilbert basis . From now on we restrict to a smaller set of functions, namely the formal series in . The reasons we can do this are 1) every polynomial in is the Taylor series of a -function of ; 2) we only allow for a finite number of conditions on the coefficients of a series. The latter means that we do not encounter the subtleties on infinitely flat functions, however see remark 1.2, item 4. Moreover we are only interested in âfunctions that are zero at the origin. Therefore we only consider formal series without constant terms, denoted by .
Now a function in is not unique, due to the syzygy among the generators. In this respect it is worth noting that when we consider functions in modulo the ideal generated by , denoted by , we have the following splitting, see [7]. This splitting is also not unique, but seems natural in view of the syzygy.
Lemma 3.3**.**
.
When chosen in this last space the function in theorem 3.1 is unique. Now that we know the generators of the invariants we can write and as functions of these. In particular, we have .
3.2 Reduction of the âsymmetry:
Hamiltonian systems onÂ
We are primarily interested in the flow of . Since the flow of and the âaction commute ( and Poisson commute), the orbits of through an âorbit are equivalent. Therefore we wish to reduce to the orbit space where points correspond to âorbits on . The projection mapping
[TABLE]
defined in lemma 3.2 just does that. It allows us to reduce the dynamics of on to a âdimensional phase space.
The âaction is generated by the vector field . Now is preserved by its own flow, therefore the âaction preserves which defines a âsphere
[TABLE]
As and Poisson commute, the flow of also preserves this âsphere. Because of the syzygy the projection mapping takes the flow of to a âsphere in the reduced phase space; the reduced phase space is determined by , . The reduced dynamics of can simply be characterised by the level of . This means that an orbit of the reduced flow of is determined by the equations
[TABLE]
The reduced dynamics of consists of curves on a âsphere. Note that in order to know the time parametrisation of these curves we still have to solve a generally difficult differential equation. But we do have a full geometric characterisation.
This leads us to the following. We consider the set of smooth âinvariant mappings of the form . The reduced dynamics of is determined once we specify its value by . In the next section we address the question whether a polynomial exists such that this mapping is stable in the sense of singularity theory.
Remark 3.4**.**
For a far more complete account of general regular reduction see for example [1, 2]. More details about the  resonance can be found in [7] where the projection mapping (3) is shown to be the Hopf mapping from to . 2. 2.
Other resonances like give rise to a different reduced phase space, having singularities. These arise from non-trivial isotropy subgroups of the âsymmetry group in these cases. They again turn up in new generators with a higher order syzygy. In âdimensional resonant Hamiltonian systems the situation is relatively simple, there are four generators and one syzygy. In higher dimensions both the number of generators and the number of syzygies depend on the resonance, i.e. on the ratios , making it computationally difficult. Then the Gröbner basis algorithm is indispensable.
Both sides of the syzygy define a Casimir element, i.e. their Poisson brackets with the vanish. A straightforward calculation yields table 1 of Poisson brackets.
The invariants from lemma 3.2 are sometimes called Hopf variables. Indeed, generates the âsymmetry (2) and hence is an integral of motion for every Hamiltonian system with that symmetry. The Hopf mapping
[TABLE]
from the âsphere
[TABLE]
to the âsphere
[TABLE]
performs the reduction to one degree of freedom by identifying points related through (2).
The phase portraits are obtained by intersecting, within , the level sets of the Hamiltonian with . Where is a Morse function, this yields finitely many centres and saddles, with generically no heteroclinic connections between the latter. Under variation of parameters local and global bifurcations may occur.
4 The universal unfolding
In this section we state our main theorem. First we provide a context for the theorem by introducing the notion of stable mappings under left-right-equivalence.
4.1 Equivalence classes for âinvariant
Hamiltonian systems
The meaning of âuniversal unfoldingâ depends on the universe in which we work and the notion of equivalence. As explained in section 3.2 we consider Hamiltonian systems on that are âinvariant and can be reduced to . If we content ourselves with characterising the reduced dynamics of by the orbits only we just need to specify values of and . That is the orbits of the reduced Hamiltonian systems are the fibres of the mapping . Note however that and is an integral of the Hamiltonian system. So is constant and therefore not to be considered as a variable but rather a parameter. Furthermore note that the fibres of the mappings and are identical. Using the relation of the generators of the invariants , we have . This leads us to define and consider the mapping on our universe , the âinvariant âmappings from to taking to .
A natural notion of equivalence on is provided by so called left-right-equivalences, see definition 4.1 below. For if and are left-right-equivalent then the fibres of and are diffeomorphic. This in turn implies that the orbits of the âinvariant Hamiltonian systems in and can be mapped to each other by a simple diffeomorphism.
Definition 4.1**.**
The mappings are called left-right-equivalent if exists such that , where .
4.1.1 Stable âinvariant mappings,
co-dimension and unfolding
The idea of stability of a mapping is that every mapping nearby is equivalent to , or put differently, that is an element of the orbit of under left-right-equivalence. Here we give a short overview in a series of definitions and theorems.
Definition 4.2**.**
The orbit of under left-right-equivalences is given by
[TABLE]
To define ânearbyâ we use the definition of a deformation.
Definition 4.3**.**
A deformation (or unfolding) of a mapping is a âmapping defining a family of âequivariant , , such that .
This allows to formulate a parametric version of being an interior point of the orbit of .
Definition 4.4**.**
A mapping is called stable if for every deformation there is an open neighbourhood of such that for all , .
The conditions of stability in this sense are hard to check. The conditions of infinitesimal stability are much easier to check and this notion of stability turns out to be equivalent with the previous one.
Definition 4.5**.**
* is called infinitesimally stable if the tangent space of at is equal to the tangent space of at .*
A proof of the next theorem can be found in [26].
Theorem 4.6**.**
A mapping is stable if and only if it is infinitesimally stable.
Stable mappings form an open and dense subset of , see [29]. A mapping that fails to be stable has therefore non-zero co-dimension
Definition 4.7**.**
Two deformations and are left-right-equivalent if there are and with .
This allows to generalize the previous discussion of mappings to deformations.
Definition 4.8**.**
A versal unfolding is a stable deformation.
The minimal number of parameters of a versal unfolding of a mapping coincides for with the co-dimension of .
4.1.2 The tangent space of at
Let be the Lie algebra of and be the Lie algebra of .
Lemma 4.9**.**
The tangent space of of at is given by
[TABLE]
Proof.
For every near-identity transformation there exist and such that for some we have . Then the tangent vectors are . â
Taking a closer look at the tangent space of at in lemma 4.9; we explicitly have
[TABLE]
In this expression is any vector field on , but is an âequivariant vector field on . Using theorem 4.6 we have to check that every âequivariant map germ can be written as for a suitable choice of and .
4.1.3 The restricted tangent space of at
The âequivariant vector fields are such that can be any function of degree 2 and higher in the set of âinvariant functions on . This follows from an explicit calculation of these vector fields in section 5.2. Thus the stability of is determined by the first component. More precisely we have the following.
Proposition 4.10**.**
The co-dimension of in with the full group of left-right-equivalences is equal to the co-dimension of in with the group of left-right-equivalences that fix .
Therefore we restrict to vector fields in such that . Or, from a slightly different point of view, we look for a normal form of the mapping . But the second component can already be regarded as being in normal form. Therefore we may restrict to transformations that preserve , that is .
Lemma 4.11**.**
The set of âequivariant vector fields with can be decomposed as the direct sum of two modules. The first is a module over and consists of vector fields taking to zero. The second is a module over , generated by vector fields taking to or to .
Proof.
âequivariant vector fields such that are generated by âequivariant vector fields satisfying one of the three equations , and . â
From now on we consider the restricted tangent space of under left-right-transformations and we call it . The restricted tangent space of is again the sum of two (function) modules . Suppose generate the solutions of and and solve and , respectively. Furthermore let for and for . Then we have the following.
Lemma 4.12**.**
The restricted tangent space of is the sum of two modules , the first is a module over and the second is a module over . That is, every function in the tangent space of is of the form , with and .
Thus the question about the co-dimension and universal unfolding of the mapping reduces to finding the co-dimension and a complement of the first component of the tangent space of with respect to restricted left-right transformations. This in turn can be reformulated as follows. Let be the mapping
[TABLE]
Then the questions we want to answer are:
What is the co-dimension of the image of in  ? 2. 2.
If the latter is nonzero, then what is a complement?
4.2 Statement of main theorem
Our main theorem is about the universal unfolding of the mapping with respect to restricted left-right-equivalence from the previous section. That is we consider all left-right transformations that preserve . As explained in section 1.2 we are interested in the fibres of the mapping . For this mapping we have the following result.
Theorem 4.13**.**
The universal unfolding of the mapping with respect to restricted left-right-equivalence is given by
[TABLE]
provided that the real coefficients , , and , and satisfy the non-degeneracy condition
[TABLE]
The parameters and are moduli.
5 Proof of main theorem
We now prove our main theorem. Our starting point is the mapping . We split the higher order terms of into two parts, is of degree in , is of degree .
The proof consists of several steps which we now list.
Apply preliminary transformations to to get rid of as many coefficients as possible. 2. 2)
Determine the tangent space of at . 3. 3)
Find the âequivariant vector fields on . 4. 4)
Observe that we can restrict to the first component of using restricted vector fields. 5. 5)
Observe that we can proceed by degree when we split as a direct sum of spaces of homogeneous polynomials. The cases of relative large degree turn out to be the easiest. Then we are left with a finite number of low degree cases that have to be treated separately.
5.1 Preliminary transformations
We start with the mapping , where is a polynomial of degree in , that is . We assume that symplectic transformations already have been used exhaustively. But since we consider in a more general context, more transformations are allowed.
The first observation is that we can always subtract from because is a conserved function in the sense of Hamiltonian systems. Thus we have . Furthermore, since we consider as a parameter. Therefore appears at most in the coefficients of . So in fact and only depend on , and , without further restrictions or relations.
[TABLE]
The second observation is that by a transformation from we can always achieve , and . Note that such a transformation preserves both and the relation .
Remark 5.1**.**
We may include more third degree terms in , like . However, they turn out to be unimportant. **
5.2 âequivariant vector fields
Considering the mapping instead of where is a parameter, we take , and as co-ordinates on without any restrictions. Now is a mapping in . Origin preserving transformations on are generated by the vector fields
[TABLE]
To define the restricted tangent space of the mapping we have to find the vector fields solving , and .
Lemma 5.2**.**
The vector fields solving are generated by
[TABLE]
The vector fields solving and respectively are generated by
[TABLE]
Proof.
Let X=\mbox{\tfrac{1}{2}}\sum_{i=1}^{9}\xi_{i}X_{i} then
[TABLE]
and after some straightforward calculations the results follow. â
5.3 The structure of the restricted tangent space
The restricted tangent space , see section 4.1.3, is the sum of a module and an ideal both subsets of . is a module over and generated by the functions , and . is the ideal generated by . So if then , with and .
In lemma 5.2 we defined the vector fields , , , and . Thus we know the generators of andÂ
[TABLE]
Defining as instead of is just convenient but not essential. In the definition above we only show the leading terms of .
In principle each term in is an infinite series, but with a term of lowest degree. For our purposes it makes sense to call this the degree of and the term with lowest degree the leading term. Recall that the degree is at least as we only consider formal series without constant term. Before using this to define a filtration on we formally define the degree of and the leading term.
Definition 5.3**.**
For we define the degree of as for which . Suppose then we call the leading term of .
The following properties of degree and leading term are almost obvious.
Lemma 5.4**.**
Let and be functions (germs) in and let and be monomials in , then
- i)
if then 2. ii)
if then and 3. iii)
* and if then * 4. iv)
* and *
With this notion of degree we define a filtration on . Since and are subsets of they immediately inherit the filtration.
Definition 5.5**.**
For let be the set . Then we have and , therefore is a filtration of . Similarly and are filtrations.
Remark 5.6**.**
As an analogy of a Gröbner basis for polynomial ideals, see [4], we could hope that is generated by in the following sense: every can be written as , with and . **
5.4 Splitting into homogeneous parts
Since the co-dimension of as a smooth mapping is the same as the co-dimension of the mapping as a formal power series, we can simplify the problem by looking at homogeneous functions and add the co-dimensions found for each degree starting at degree one. This is carried out in the following chain of assertions.
Let be the set of all homogeneous functions of degree in , and . In fact we have . Furthermore let be the set of all homogeneous functions of degree in and , then . Since is not homogeneous in we use a projection selecting the homogeneous part of a function . The following general result leaves us with a small number of cases.
Proposition 5.7**.**
The co-dimension of in is zero for and . Or, put differently, the mapping (odd degree)
[TABLE]
is onto for and also the mapping (even degree)
[TABLE]
is onto for .
Thus we have to investigate degrees and separately. First we prove proposition 5.7 in three lemmas. In order to do so it is useful to introduce some notation, which is motivated by the fact that the projection of on is always zero.
Definition 5.8**.**
The space has a monomial basis denoted by . Let be the set of monomials , and . Furthermore let be the set of monomials in with the monomials in excluded. Finally let be the subspace of spanned by , similarly is spanned by .
The next three lemmas treat different parts of proposition 5.7. The following lemma shows that the mapping from to is onto for each . Thus we get rid of the first factor of the mapping in proposition 5.7. Later on we use this lemma again for the remaining low degree cases.
Lemma 5.9**.**
The mapping is onto provided that , and and .
Proof.
Every monomial in can be written as either , or for some multi-index with . Therefore every can be expressed as for some , but only if , and . If for example , then . â
The following two lemmas show that the second factor of the mapping in proposition 5.7 maps onto , but we have to distinguish the odd and even degree cases.
Lemma 5.10** (Odd degree).**
The mapping \mathcal{H}_{m-1}(H,K)\to\mathcal{H}_{2m+1}(I_{2},I_{3},I_{4}):\eta_{1}\mapsto\Pi_{2m+1}\big{(}\eta_{1}\mathsf{L}(G_{1})\big{)} followed by projection on is onto provided that , , and and .
Proof.
The projection of the functions on is given by the vectors in the matrix
[TABLE]
which has rank three as soon as the conditions are met. â
Finally we state and prove a lemma for the even degree case.
Lemma 5.11** (Even degree).**
The mapping \mathcal{H}_{m}(H,K)\times\mathcal{H}_{m-1}(H,K)\to\mathcal{H}_{2m}(I_{2},I_{3},I_{4}):(\eta_{0},\eta_{2})\mapsto\Pi_{2m}\big{(}\eta_{0}+\eta_{2}\mathsf{L}(G_{2})\big{)} followed by projection on is onto provided that , and and .
Proof.
The projection of the functions
[TABLE]
on is given by the vectors in the matrix
[TABLE]
which has rank three as soon as the conditions are met. â
With these three lemmas we prove proposition 5.7.
Proof of proposition 5.7.
The odd degree part of the proposition is covered by combining lemmas 5.9 and 5.10 showing that the product mapping is onto . Similarly combining lemmas 5.9 and 5.11 shows that in case of even degree the product mapping is onto . â
Finally we consider the remaining cases: degrees and . In all cases we follow the same pattern, we determine the co-dimension of \Pi_{k}\big{(}\xi_{1}F_{1}+\xi_{2}F_{2}+\xi_{3}F_{3}+\eta_{0}+\eta_{1}G_{1}+\eta_{2}G_{2}\big{)} in for . But in view of lemma 5.9 we only have to consider the projection on . The main result of this part is the next proposition.
Proposition 5.12**.**
A complement of in is spanned by the functions or or as a linear space.
We prove this proposition in several lemmas. The following lemma is immediately clear.
Lemma 5.13** (Degree one).**
A monomial basis of functions of degree one is . Since does not contain functions of degree one, the co-dimension in this space is three and a complement is itself.
Thus we get unfolding terms: , and .
Lemma 5.14** (Degree two).**
Functions of degree two with a nonzero projection on are , and . These three functions are independent a soon as .
Proof.
The projection of , and onto is given by the matrix
[TABLE]
cf. (6). The determinant of is . â
Lemma 5.15** (Degree three).**
There is only one function in with a nonzero projection on , namely . Thus the co-dimension of in the space of homogeneous functions of degree three is two. As a complement any pair of , and will do. We take for example and as unfolding terms, then we must impose the condition .
Proof.
The projection of , and on is given by the matrix
[TABLE]
â
Lemma 5.16** (Degree five).**
There are only two functions of degree five in , namely and , with a nonzero projection on . However, a function exists such that \Pi_{k}\big{(}F_{5}\big{)}=0 for and \Pi_{5}\big{(}F_{5}\big{)}\neq 0. With the co-dimension of in the space of homogeneous functions of degree five is zero, provided that .
Proof.
Let
[TABLE]
be a function of degree 4, with . Then a non-trivial solution of \Pi_{4}\big{(}F_{5}\big{)}=0 exists while \Pi_{5}\big{(}F_{5}\big{)}\neq 0. The projection of the functions \Pi_{5}\big{(}KG_{1}\big{)}, \Pi_{5}\big{(}HG_{1}\big{)} and \Pi_{5}\big{(}F_{5}\big{)} onto has the matrix
[TABLE]
and . â
The last lemma is about the modal parameters.
Lemma 5.17**.**
Parameters and are moduli.
Proof.
Let be as in the main theorem 4.13. From the previous proofs it follows almost immediately that the unfoldings of and are equal for small values of and . Therefore and are moduli. â
The proof of theorem 4.13 follows from proposition 5.7, proposition 5.12 and lemma 5.17.
Remark 5.18**.**
As a by product we find that is not generated by
[TABLE]
See remark 5.6. **
6 Discussion
The dynamics of an âdegree-of-freedom Hamiltonian system locally around an elliptic equilibrium at the origin is characterised by an âtuple of frequencies. When the frequencies satisfy an integer relation with we say that the frequencies are resonant. For most equilibria the frequencies are non-resonant. However, when the system depends on parameters there are resonances at a dense subset of parameter values. Since low order resonances are accompanied by bifurcations the corresponding points in parameter space are of special interest.
Here we consider two-degree-of-freedom systems. In that case , so is resonant if is an element of . We may assume without loss of generality that and are relative prime integers and at resonance. The linear part of the vector field is determined by if . In linear Hamiltonian systems imaginary eigenvalues, in casu the frequencies have a sign. The sign is related to the Morse index of the Hamiltonian. Therefore a  resonance is not equivalent to a  resonance; in particular the and  resonances are not equivalent. Moreover, eigenvalues with equal sign are always semi-simple, whereas the  resonance can also be nilpotent. Thus there are three resonances with equal frequencies, namely the semi-simple , the nilpotent and the  resonance. The latter is always semi-simple. The nilpotent  resonance is what triggers the Hamiltonian Hopf bifurcation.
As indicated in the introduction the  resonances, with , are very similar. In particular, in the sense of section 4.1.1 the co-dimension is , provided that is not equal to , or . The last two exceptional cases have co-dimension and , respectively. Thus all definite resonances except have in common that they occur persistently in âparameter families and if more parameters are present these are moduli, see [10]. In this respect our case of the  resonance is very exceptional: its co-dimension is , it occurs persistently in âparameter families and two of the unfolding parameters are moduli. When we restrict to the linear unfolding, there is a transformation group acting on the unfolding. This can be used to reduce the number of parameters. Using invariants of this transformation group we find that one of the generators is . Then in a reduced linear unfolding the  resonance occurs persistently in a âparameter family, see [17] for more details.
Before applying singularity theory we reduce the âsymmetric system using invariants. Another approach is that in [4] where the system is first reduced to a planar system. Then singularity theory using right equivalence is applied to obtain an unfolding. With a different notion of equivalence one may expect different co-dimensions. In [4], by nature of the method, one finds lower bounds for the co-dimensions. For the resonances , and these lower bounds are computed and they coincide with the co-dimensions found in [10], namely , and , respectively. However, the non-degeneracy conditions of [4] and [10] differ. It would be interesting to compare both methods for the  resonance.
The results obtained so far are a starting point for extensions and applications. Let us list a few. In general, when a system passes a resonance upon varying one or more parameters, one expects a bifurcation to occur. We see this phenomenon in the resonances mentioned earlier. Therefore we would like to explore the bifurcation scenario of the  resonance, or more general explore the geometry of level sets of the momentum mapping depending on parameters near  resonance. A similar program can be carried out for Hamiltonian systems in  resonance which are also reversible, see [25], or symmetric (other than the symmetry induced by the  resonance). The unfolding of the semisimple  resonance is similar to the unfolding of the  resonance, but the bifurcation scenario is most likely very different. A well-known system in  resonance is the HĂ©nonâHeiles system. Our original plan, to apply the unfolding and bifurcation results, now comes within reach. Furthermore we wish to relate our results to the results in a series of articles by Elipe, Lanchares et al. and Frauendiener [11, 12, 21, 22, 23, 24, 25] for families of âsymmetric Hamiltonian systems. These are the subjects of future publications.
Acknowledgment
It is a pleasure to thank Henk Broer, Richard Cushman, Jaap Top and Gert Vegter for fruitful discussions and suggestions.
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