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2007 | Buch

Geometry and Topology in Hamiltonian Dynamics and Statistical Mechanics

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Itisaspecialpleasureformetowritethisforewordforaremarkablebookbya remarkableauthor.MarcoPettiniisadeepthinker,whohasspentmanyyears probing the foundations of Hamiltonian chaos and statistical mechanics, in particular phase transitions, from the point of view of geometry and topology. Itisinparticularthequalityofmindoftheauthorandhisdeepphysical,as well as mathematical insights which make this book so special and inspiring. It is a “must” for those who want to venture into a new approach to old problems or want to use new tools for new problems. Although topology has penetrated a number of ?elds of physics, a broad participationoftopologyintheclari?cationandprogressoffundamentalpr- lems in the above-mentioned ?elds has been lacking. The new perspectives topology gives to the above-mentioned problems are bound to help in their clari?cation and to spread to other ?elds of science. The sparsity of geometric thinking and of its use to solve fundamental problems, when compared with purely analytical methods in physics, could be relieved and made highly productive using the material discussed in this book. It is unavoidable that the physicist reader may have then to learn some new mathematics and be challenged to a new way of thinking, but with the author as a guide, he is assured of the best help in achieving this that is presently available.

Inhaltsverzeichnis

Frontmatter
1. Introduction
This book reports on an unconventional explanation of the origin of chaos in Hamiltonian dynamics and on a new theory of the origin of thermodynamic phase transitions. The mathematical concepts and methods used are borrowed from Riemannian geometry and from elementary differential topology, respectively. The new approach proposed also unveils deep connections between the two mentioned topics.
2. Background in Physics
In this first chapter we will give an outline of some fundamental elements of statistical mechanics, of Hamiltonian dynamics, and of the relationship between them.
The general problem of statistical physics is the following. Given a collection–in general a large collection–of atoms or molecules, given the interaction laws among the constituents of this collection of particles, and given the dynamical evolution laws, how can we predict the macroscopic physical properties of the matter composed of these atoms or molecules?
3. Geometrization of Hamiltonian Dynamics
A Hamiltonian system whose kinetic energy is a quadratic form in the velocities is referred to as a standard, or natural, Hamiltonian system. Every Newtonian system, that is, a system of particles interacting through forces derived from a potential, i.e., of the form (1.1), belongs to this class. The trajectories of a standard system can be seen as geodesics of a suitable Riemannian manifold. This classical result is based on the variational formulation of dynamics.
4. Integrability
The problem of integrability in classical mechanics has been a seminal one. Motivated by celestial mechanics, it has stimulated a wealth of analytical methods and results. For example, as we have discussed in Chapter 2, the weaker requirement of only approximate integrability over finite times, or the existence of integrable regions in the phase space of a globally nonintegrable system, has led to the development of classical perturbation theory, with all its important achievements. However, deciding whether a given Hamiltonian system is globally integrable still remains a difficult task, for which a general constructive framework is lacking.
5. Geometry and Chaos
The purpose of the present chapter is to describe in some detail how it is possibile, using the Jacobi–Levi-Civita equation for geodesic spread as the main tool, to reach a twofold objective: first, to obtain a deeper understanding of the origin of chaos in Hamiltonian systems, and second, to obtain quantitative information on the “strength” of chaos in these systems.
6. Geometry of Chaos and Phase Transitions
In the previous chapters we have shown how simple concepts belonging to classical differential geometry can be successfully used as tools to build a geometric theory of chaotic Hamiltonian dynamics. Such a theory is able to describe the instability of the dynamics in classical systems consisting of a large number N of mutually interacting particles, by relating these properties to the average and the fluctuations of the curvature of the configuration space. Such a relation is made quantitative through (5.45), which provides an approximate analytical estimate of the largest Lyapunov exponent in terms of the above-mentioned geometric quantities, and which compares very well with the outcome of numerical simulations in a number of cases, three of which have been discussed in detail in Chapter 5.
7. Topological Hypothesis on the Origin
In the previous chapter we have reported results of numerical simulations for the fluctuations of observables of a geometric nature (e.g., configurationspace curvature fluctuations) related to the Riemannian geometrization of the dynamics in configuration space.1 These quantities have been computed, using time averages, for many different models undergoing continuous phase transitions, namely φ4 lattice models with discrete and continuous symmetries and XY models. In particular, when plotted as a function of either the temperature or the energy, the fluctuations of the curvature have an apparently singular behavior at the transition point. Moreover, we have seen that the presence of a singularity in the statistical-mechanical fluctuations of the curvature at the transition point has been proved analytically for the mean-field XY model.
8. Geometry, Topology and Thermodynamics
In the preceding chapter we have seen that configuration-space topology is suspected to play a significant role in the emergence of phase transition phenomena. We have summarized all the clues in the form of a working hypothesis that we called the topological hypothesis. Then this has been given strong support by a direct numerical investigation of the topological changes of configuration space of 1D and 2D lattice φ4 models. This conjecture stems from the peculiar energy density patterns of the largest Lyapunov exponent at phase transition points. In fact, Lyapunov exponents are closely related to configuration space geometry, which, in turn, can be strongly influenced by topology. However, there is another argument, independent of the Riemannian geometrization of Hamiltonian dynamics, that suggests how to make another link between Lyapunov exponents and topology.
9. Phase Transitions and Topology: Necessity Theorems
In the preceding chapters, we discussed the conceptual development that, starting from the Riemannian theory of Hamiltonian chaos, led us first to conjecture the involvement of topology in phase transition phenomena— formulating what we called the topological hypothesis—and then provided both indirect and direct numerical evidence of this conjecture. The present chapter contains a major leap forward: the rigorous proof that topological changes of equipotential hypersurfaces of configuration space—and of the regions of con- figuration space bounded by them—are a necessary condition for the appearance of thermodynamic phase transitions. This is obtained for a wide class of potential functions of physical relevance, and for first- and second-order phase transitions. However, long-range interactions, nonsmooth potentials, unbound configuration spaces, “exotic” and higher-order phase transitions, are not encompassed by the theorems given below and are still open problems deserving further work. For this reason, and mainly because we do not yet know precisely what kinds of topological changes entail a phase transition, we give in what follows the details of the proofs, making the presentation of the content of this chapter rather formal. We deem it useful to provide these details in order, we hope, to inspire and stimulate the interested reader to cope with these challenging tasks.
10. Phase Transitions and Topology: Exact Results
The preceding chapter contains a major theoretical achievement: the unbounded growth with N of certain thermodynamic observables, eventually leading to singularities in the N → limit, which are used to define the occurrence of an equilibrium phase transition, is necessarily due to appropriate topological transitions in configuration space. The relevance of topology is made especially clear by the explicit dependence of thermodynamic configurational entropy on a weighed sum of Morse indexes of configuration-space submanifolds, a relation that, loosely speaking, has some analogy with the Yang–Lee “circle theorem,” which relates thermodynamic observables to a fundamental mathematical object in the Yang–Lee theory of phase transitions: the angular distribution of the zeros of the grand-partition function on a circle in the complex fugacity plane.
11. Future Developments
The theoretical scenario depicted in this monograph is not a rephrasing of already known facts in an unusual mathematical language.
In fact, the Riemannian theory of Hamiltonian chaos, though still formulated at a somewhat primitive level (in that it does not yet include the role of nontrivial topology of the mechanical manifolds), provides a natural explanation of the origin of the chaotic instability of classical dynamics, substantially in the absence of competing theories.
Backmatter
Metadaten
Titel
Geometry and Topology in Hamiltonian Dynamics and Statistical Mechanics
verfasst von
Marco Pettini
Copyright-Jahr
2007
Verlag
Springer New York
Electronic ISBN
978-0-387-49957-4
Print ISBN
978-0-387-30892-0
DOI
https://doi.org/10.1007/978-0-387-49957-4