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Products of Random Matrices: In Statistical Physics [Kõva köide]

  • Formaat: Hardback, 183 pages, kõrgus x laius: 235x155 mm, kaal: 490 g, biography
  • Sari: Springer Series in Solid-State Sciences v. 104
  • Ilmumisaeg: 05-Aug-1993
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540565752
  • ISBN-13: 9783540565758
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Products of Random Matrices: In Statistical Physics
  • Formaat: Hardback, 183 pages, kõrgus x laius: 235x155 mm, kaal: 490 g, biography
  • Sari: Springer Series in Solid-State Sciences v. 104
  • Ilmumisaeg: 05-Aug-1993
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3540565752
  • ISBN-13: 9783540565758
At the present moment, after the success of the renormalization group in providing a conceptual framework for studying second-order phase tran­ sitions, we have a nearly satisfactory understanding of the statistical me­ chanics of classical systems with a non-random Hamiltonian. The situation is completely different if we consider the theory of systems with a random Hamiltonian or of chaotic dynamical systems. The two fields are connected; in fact, in the latter the effects of deterministic chaos can be modelled by an appropriate stochastic process. Although many interesting results have been obtained in recent years and much progress has been made, we still lack a satisfactory understanding of the extremely wide variety of phenomena which are present in these fields. The study of disordered or chaotic systems is the new frontier where new ideas and techniques are being developed. More interesting and deep results are expected to come in future years. The properties of random matrices and their products form a basic tool, whose importance cannot be underestimated. They playa role as important as Fourier transforms for differential equations. This book is extremely interesting as far as it presents a unified approach for the main results which have been obtained in the study of random ma­ trices. It will become a reference book for people working in the subject. The book is written by physicists, uses the language of physics and I am sure that many physicists will read it with great pleasure.
I Background.-
1. Why Study Random Matrices?.- 1.1 Statistics of the
Eigenvalues of Random Matrices.- 1.1.1 Nuclear Physics.- 1.1.2 Stability of
Large Ecosystems.- 1.1.3 Disordered Harmonic Solids.- 1.2 Products of Random
Matrices in Chaotic and Disordered Systems.- 1.2.1 Chaotic Systems.- 1.2.2
Disordered Systems.- 1.3 Some Remarks on the Calculation of the Lyapunov
Exponent of PRM.-
2. Lyapunov Exponents for PRM.- 2.1 Asymptotic Limits: the
Furstenberg and Oseledec Theorems.- 2.2 Generalized Lyapunov Exponents.- 2.3
Numerical Methods for the Computation of Lyapunov Exponents.- 2.4 Analytic
Results.- 2.4.1 Weak Disorder Expansion.- 2.4.2 Replica Trick.- 2.4.3
Microcanonical Method.- II Applications.-
3. Chaotic Dynamical Systems.- 3.1
Random Matrices and Deterministic Chaos.- 3.1.1 The Independent RM
Approximation.- 3.1.2 Independent RM Approximation: Perturbative Approach.-
3.1.3 Beyond the Independent RM Approximation.- 3.2 CLE for High Dimensional
Dynamical Systems.-
4. Disordered Systems.- 4.1 One-Dimensional Ising Model
and Transfer Matrices.- 4.2 Random One-Dimensional Ising Models.- 4.2.1 Ising
Chain with Random Field.- 4.2.2 Ising Chain with Random Coupling.- 4.3
Generalized Lyapunov Exponents and Free Energy Fluctuations.- 4.4 Correlation
Functions and Random Matrices.- 4.5 Two-and Three-Dimensional Systems.-
5.
Localization.- 5.1 Localization in One-Dimensional Systems.- 5.1.1
Exponential Growth and Localization: The Borland Conjecture.- 5.1.2 Density
of States in One-Dimensional Systems.- 5.1.3 Conductivity and Lyapunov
Exponents: The Landauer Formula.- 5.2 PRMs and One-Dimensional Localization:
Some Applications.- 5.2.1 Weak Disorder Expansion.- 5.2.2 Replica Trick and
Microcanonical Approximation.- 5.2.3 Generalized Localization Lengths.- 5.2.4
Random Potentials with Extended States.- 5.3 PRMs and Localization in Two and
Three Dimensions.- 5.4 Maximum Entropy Approach to the Conductance
Fluctuations.- III Miscellany.-
6. Other Applications.- 6.1 Propagation of
Light in Random Media.- 6.1.1 Media with Random Optical Index.- 6.1.2
Randomly Deformed Optical Waveguide.- 6.2 Random Magnetic Dynamos.- 6.3 Image
Compression.- 6.3.1 Iterated Function System.- 6.3.2 Determination of the IFS
Code for Image Compression.-
7. Appendices.- 7.1 Statistics of the
Eigenvalues of Real Random Asymmetric Matrices.- 7.2 Program for the
Computation of the Lyapunov Spectrum.- 7.3 Poincare Section.- 7.4 Markov
Chain and Shannon Entropy.- 7.5 Kolmogorov-Sinai and Topological Entropies.-
7.6 Generalized Fractal Dimensions and Multifractals.- 7.7 Localization in
Correlated Random Potentials.- References.