Broer / Takens / Hasselblatt Handbook of Dynamical Systems

1. Auflage 2010
ISBN: 978-0-08-093226-2
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, Band Volume 3, 560 Seiten

Reihe: Handbook of Dynamical Systems

In this volume, the authors present a collection of surveys on various aspects of the theory of bifurcations of differentiable dynamical systems and related topics. By selecting these subjects, they focus on those developments from which research will be active in the coming years. The surveys are intended to educate the reader on the recent literature on the following subjects: transversality and generic properties like the various forms of the so-called Kupka-Smale theorem, the Closing Lemma and generic local bifurcations of functions (so-called catastrophe theory) and generic local bifurcations in 1-parameter families of dynamical systems, and notions of structural stability and moduli. - Covers recent literature on various topics related to the theory of bifurcations of differentiable dynamical systems - Highlights developments that are the foundation for future research in this field - Provides material in the form of surveys, which are important tools for introducing the bifurcations of differentiable dynamical systems

Autoren/Hrsg.

Broer, H.

Takens, F.

Hasselblatt, B.

Inhaltsverzeichnis

1;Front cover;1
2;Half title page;2
3;Title page;4
4;Copyright page;5
5;Dedication page;6
6;Preface;8
7;List of Contributors;10
8;Contents;12
9;Chapter 1. Preliminaries of Dynamical Systems Theory;14
9.1;1. General definition of a dynamical system;16
9.2;2. Transversality and generic properties;26
9.3;3. Generic properties which are not based on transversality: the Closing Lemma;39
9.4;4. Generic local bifurcations;41
9.5;5. Structural stability and moduli;51
9.6;References;53
10;Chapter 2. Prevalence;56
10.1;1. Introduction;58
10.2;2. Linear prevalence;64
10.3;3. Nonlinear prevalence;81
10.4;4. Other notions of genericity;91
10.5;References;94
11;Chapter 3. Local Invariant Manifolds and Normal Forms;102
11.1;1. Introduction;104
11.2;2. Construction of invariant manifolds: the graph transform;104
11.3;3. Invariant foliations;117
11.4;4. Linearizations and partial linearizations;121
11.5;5. Normal forms;125
11.6;6. Liapunov-Schmidt reduction;133
11.7;References;136
12;Chapter 4. Complex Exponential Dynamics;138
12.1;1. Introduction;140
12.2;2. Basic notions;140
12.3;3. Quadratic dynamics;153
12.4;4. Exponential dynamics;168
12.5;5. Cantor bouquets;176
12.6;6. Indecomposable continua;189
12.7;7. The parameter plane;196
12.8;8. Untangling hairs;203
12.9;9. Back to polynomials;216
12.10;10. Other families of maps;221
12.11;References;234
13;Chapter 5. Some Applications of Moser's Twist Theorem;238
13.1;1. Background: the action-angle variables, the generating functions;240
13.2;2. Basic statements of KAM theory;248
13.3;3. A variational approach to Moser's twist theorem;250
13.4;4. Applications;253
13.5;5. Arnold diffusion;258
13.6;References;258
14;Chapter 6. KAM Theory: Quasi-periodicity in Dynamical Systems;262
14.1;1. Introduction;264
14.2;2. Complex linearization;267
14.3;3. KAM Theory for circle and annulus maps;270
14.4;4. KAM Theory for flows;279
14.5;5. Further developments in KAM Theory;293
14.6;6. Quasi-periodic bifurcations: dissipative setting;301
14.7;7. Quasi-periodic bifurcation theory in other settings;309
14.8;8. Further Hamiltonian KAM Theory;312
14.9;9. Whitney smooth bundles of KAM tori;331
14.10;10. Conclusion;337
14.11;Acknowledgments;338
14.12;References;338
15;Chapter 7. Reconstruction Theory and Nonlinear Time Series Analysis;358
15.1;1. Introduction;360
15.2;2. An experimental example: the dripping tap;360
15.3;3. The reconstruction theorem;361
15.4;4. The reconstruction theorem and nonlinear time series analysis: discrimination between deterministic and random time series;365
15.5;5. Stationarity and reconstruction measures;370
15.6;6. Correlation dimensions and entropies;373
15.7;7. Numerical estimation of correlation integrals and the corresponding dimensions and entropies;376
15.8;8. Classical time series analysis, the analysis in terms of correlation integrals, and predictability;379
15.9;9. Miscellaneous subjects;385
15.10;References;389
16;Chapter 8. Homoclinic and Heteroclinic Bifurcations in Vector Fields;392
16.1;1. Introduction;394
16.2;2. Homoclinic and heteroclinic orbits, and their geometry;396
16.3;3. Analytical and geometric approaches;406
16.4;4. Phenomena;419
16.5;5. Catalogue of homoclinic and heteroclinic bifurcations;433
16.6;6. Related topics;510
16.7;References;522
17;Author Index;538
18;Subject Index;552

Leseproben

2.3.2 Generic properties of symplectic, Hamiltonian and volume preserving systems The main reference for the results which we discuss here is [56]. We treat a number of cases separately. Symplectic diffeomorphisms We start with the periodic and fixed points of symplectic maps (time set ). Our starting point is a state space which is a manifold with symplectic form , see Section 1.3.1. For a symplectic diffeomorphism :X?X, the 1-jet extension satisfies some extra properties which reflect the fact that has to respect the symplectic form. This is the reason that we define the 1-jet space differently here: ?1(X) is the space consisting of triples x1,x2,L), with 1,x2?X, and a linear map from x1 to x2 such that *(?x2)=?x1, i.e. we require to be a linear symplectic map from the tangent space at 1 to the tangent space at 2. Note that this is consistent with what we defined in Section 1.3.1, i.e. a diffeomorphism is symplectic if and only if for each ?X, the triple x,f(x),dfx) is in ?1(X) as defined here. The important fact is that with this definition of the 1-jet space, we have, within the class of symplectic diffeomorphisms, the transversalitiy theorem with respect to submanifolds of these jet spaces. This does however not lead to the same Kupka-Smale theorem we had before: the reason is that, in the group of linear symplectic maps of a vector space to itself, the set of non-hyperbolic maps has interior points. This is related to the fact that for a symplectic automorphism, the eigenvalues have to satisfy some extra conditions: whenever is an eigenvalue of such an automorphism, then so are ?, -1, and ?-1. This implies that a pair of non-real eigenvalues , ? on the unit circle (of multiplicity one) cannot be pushed off the unit circle by a small perturbation. In order to formulate a generic property for fixed points, excluding 1-jets of a certain type (like the non-hyperbolic ones in the non-symplectic case) we need a subset of l?(2n), the group of symplectic automorphisms in a vector space of dimension n, which: 1. has no interior points (and is semi-algebraic); 2. is invariant under symplectic conjugations, i.e. independent of the choice of a particular basis; 3. the elements of which cause dynamic complexity. For this we take the complement of the set of those ?Gl?(2n) for which each eigenvalue is either hyperbolic, i.e. in norm different from one, or has norm one, but has only multiplicity one and is not a root of unity (eigenvalues which are a root of unity or have multiplicity greater than one correspond to resonance, and complicated dynamics). Linear symplectic automorphisms which satisfy this last condition are called elementary.1 We say that a fixed point of a symplectic diffeomorphism is elementary if fp is elementary; if is a periodic point of such a diffeomorphism with k(p)=p and i(p)?p for 0, it is a generic property that all its fixed points and periodic points are elementary.    In this situation the stable and unstable manifolds of the fixed and periodic points are defined as in the general case. They have however some additional properties. First, on a n-dimensional symplectic manifold, stable and unstable manifolds always have dimension n. This is a consequence of the above mentioned restriction on the eigenvalues of a symplectic automorphism. Second, stable and unstable manifolds are always isotropic, in the following sense: A sub-manifold of a symplectic manifold with symplectic form is called isotropic if for each ?Y and ,w?Tp(Y), (v,w)=0. Still in this situation the second part of the Kupka-Smale theorem remains unchanged: Theorem Kupka-Smale for Symplectic Diffeomorphisms, II Forrsymplectic diffeomorphisms,>0, it is a generic property that all stable and unstable manifolds intersect transversally.    The condition of transversal intersections in the last theorem has to be interpreted correctly: if is a periodic or a fixed point, then one has to disregard itself as an intersection of s(p) and u(p): if is not hyperbolic this is indeed a non-transversal intersection. If the non-hyperbolic eigenvalues of such a periodic or fixed point all have multiplicity 1, then, within the symplectic context, it is persistent as a non-hyperbolic fixed or periodic point, and hence the non-transversal intersection cannot be perturbed away. Volume preserving diffeomorphisms In the one-dimensional case volume preserving diffeomorphisms are just translations; this is too trivial a case for further consideration. In dimension two, volume preserving diffeomorphisms are just symplectic diffeomorphisms which we have already discussed. In dimensions greater that two, the generic properties of fixed and periodic points are the same as in the general case. The reason is that the only restriction on the derivative of a volume preserving diffeomorphism at a fixed point is that the product of its eigenvalues (the determinant) equals ±1. In dimension three, in the space of linear volume preserving automorphisms, the set of non-hyperbolic ones has no interior points. So all the considerations from the general case carry over. Hamiltonian flows: the singularities Here again the state space is a manifold with symplectic form . For a dynamical system with time set there is a generating vector field , i.e. (p)=?tF(p,0). We recall, see Section 1.3.1, that the requirement that the maps t preserve is equivalent to the requirement that the 1-form Z?=?(Z,·) is closed. In many examples, e.g. when is a vector space, this 1-form is even exact so that there is a function, the Hamiltonian function, :X?R such that H=?(Z,·). From now on we consider only the case where there is such a Hamiltonian function. We recall an important fact from Hamiltonian dynamics: for each evolution (t) of such a system, the function (x(t)) is constant. This means that such a dynamical system decomposes to a 1-parameter family of dynamical systems with state spaces h=H-1(h). This will be especially of importance in the next section on periodic orbits. We now formulate the first generic property concerning the singularities of a Hamiltonian function. For this we recall that a singularity of a function is a point where its derivative is zero; it is non-degenerate if its second derivative, as a quadratic form, has maximal rank. Theorem Genericity of Critical Points ForrHamiltonian systems,>0, on a symplectic manifold, it is a generic property that the corresponding Hamiltonian function has only non-degenerate critical points and that in any two different critical points, the values of the Hamiltonian function are different.    We observe that whenever the Hamiltonian vector field is r, a corresponding Hamiltonian function is r+1. The Hamiltonian function is not unique, but any two possible Hamiltonian functions for the same Hamiltonian vector field locally only differ by a constant. So that the statement on the critical points of the Hamiltonian function makes sense for a 1 Hamiltonian vector field and is independent...