
Gibbs Measures on Cayley Trees.
Title:
Gibbs Measures on Cayley Trees.
Author:
Rozikov, Utkir A.
ISBN:
9789814513388
Personal Author:
Physical Description:
1 online resource (404 pages)
Contents:
Contents -- Preface -- 1. Group representation of the Cayley tree -- 1.1 Cayley tree -- 1.2 A group representation of the Cayley tree -- 1.3 Normal subgroups of finite index for the group representation of the Cayley tree -- 1.3.1 Subgroups of infinite index -- 1.4 Partition structures of the Cayley tree -- 1.5 Density of edges in a ball -- 2. Ising model on the Cayley tree -- 2.1 Gibbs measure -- 2.1.1 Configuration space -- 2.1.2 Hamiltonian -- 2.1.3 The ground state -- 2.1.4 Gibbs measure -- 2.2 A functional equation for the Ising model -- 2.2.1 Hamiltonian of the Ising model -- 2.2.2 Finite dimensional distributions -- 2.3 Periodic Gibbs measures of the Ising model -- 2.3.1 Translation-invariant measures of the Ising model -- 2.3.1.1 Ferromagnetic case -- 2.3.1.2 Anti-ferromagnetic case -- 2.3.2 Periodic (non-translation-invariant) measures -- 2.4 Weakly periodic Gibbs measures -- 2.4.1 The case of index two -- 2.4.2 The case of index four -- 2.5 Extremality of the disordered Gibbs measure -- 2.6 Uncountable sets of non-periodic Gibbs measures -- 2.6.1 Bleher-Ganikhodjaev construction -- 2.6.2 Zachary construction -- 2.7 New Gibbs measures -- 2.8 Free energies -- 2.9 Ising model with an external field -- 3. Ising type models with competing interactions -- 3.1 Vannimenus model -- 3.1.1 Definitions and equations -- 3.1.2 Dynamics of F -- 3.1.2.1 Fixed points -- 3.1.3 Periodic points -- 3.1.4 Exact values -- 3.1.5 Remarks -- 3.2 A model with four competing interactions -- 3.2.1 The model -- 3.2.2 The functional equation -- 3.2.3 Translation-invariant Gibbs measures: phase transition -- 3.2.4 Periodic Gibbs measures -- 3.2.5 Non-periodic Gibbs measures -- 4. Information ow on trees -- 4.1 Definitions and their equivalency -- 4.1.1 Equivalent definitions -- 4.2 Symmetric binary channels: the Ising model -- 4.2.1 Reconstruction algorithms.
4.2.2 Census solvability -- 4.3 q-ary symmetric channels: the Potts model -- 5. The Potts model -- 5.1 The Hamiltonian and vector-valued functional equation -- 5.2 Translation-invariant Gibbs measures -- 5.2.1 Anti-ferromagnetic case -- 5.2.2 Ferromagnetic case -- 5.2.2.1 Case: k = 2, q = 3 -- 5.2.2.2 The general case: k 2, q 2 -- 5.3 Extremality of the disordered Gibbs measure: The reconstruction solvability -- 5.4 A construction of an uncountable set of Gibbs measures -- 6. The Solid-on-Solid model -- 6.1 The model and a system of vector-valued functional equations -- 6.2 Three-state SOS model -- 6.2.1 The critical value 1cr -- 6.2.2 Periodic SGMs -- 6.2.3 Non-periodic SGMs -- 6.3 Four-state SOS model -- 6.3.1 Translation-invariant measures -- 6.3.2 Construction of periodic SGMs -- 6.3.3 Uncountable set non-periodic SGMs -- 7. Models with hard constraints -- 7.1 Definitions -- 7.1.1 Gibbs measures -- 7.2 Two-state hard core model -- 7.2.1 Construction of splitting (simple) Gibbs measures -- 7.2.2 Uniqueness of a translation-invariant splitting Gibbs measure -- 7.2.3 Periodic hard core splitting Gibbs measures -- 7.2.4 Extremality of the translation-invariant splitting Gibbs measure -- 7.2.5 Weakly periodic Gibbs measures -- 7.2.6 The model with two fugacities -- 7.3 Node-weighted random walk as a tool -- 7.4 A Gibbs measure associated to a k-branching nodeweighted random walk -- 7.5 Cases of uniqueness of Gibbs measure -- 7.6 Non-uniqueness of Gibbs measure: sterile and fertile graphs -- 7.6.1 The Asymmetric Graphs -- 7.6.2 The Wand and the Hinge -- 7.6.3 The Stick -- 7.6.4 The hinge -- 7.7 Fertile three-state hard core models -- 7.7.1 System of functional equations -- 7.7.2 Translation-invariant Gibbs measures -- 7.7.2.1 The Case wrench -- 7.7.2.2 The case hinge -- 7.7.2.3 The Case wand -- 7.7.2.4 The case pipe.
7.7.3 Periodic Gibbs measures -- 7.7.3.1 The case wrench -- 7.7.3.2 The case hinge -- 7.7.4 Non-Periodic Gibbs measures: the case hinge -- 7.8 Eight state hard-core model associated to a model with interaction radius two -- 7.8.1 The system of functional equations -- 7.8.2 Translation-invariant solutions -- 7.8.3 Periodic solutions -- 8. Potts model with countable set of spin values -- 8.1 An infinite system of functional equations -- 8.2 Translation-invariant solutions -- 8.2.1 The set of solutions {ui} with j=1 uj = -- 8.2.2 The set of solutions with j=1 uj 1 -- 8.2.2.2 Case 1 -- 8.3 Exponential solutions -- 8.3.1 Case > 1 -- 8.3.2 Case 1 -- 9. Models with uncountable set of spin values -- 9.1 Definitions -- 9.2 An integral equation -- 9.2.1 The Potts model with uncountable spin values -- 9.3 Translational-invariant solutions -- 9.3.1 Case k = 1 -- 9.3.2 Case k 2 -- 9.4 A sufficient condition of uniqueness -- 9.4.1 The Hammerstein's non-linear equation -- 9.4.2 The uniqueness of fixed point of the operators Ak and Hk -- 9.4.3 Physical interpretation -- 9.5 Examples of Hamiltonians with non-unique Gibbs measure -- 9.5.1 Case k = 2 -- 9.5.2 Case k = 3 -- 9.5.3 Case k 4 -- 10. Contour arguments on Cayley trees -- 10.1 One-dimensional models -- 10.1.1 Phase transition -- 10.1.2 Partition functions -- 10.1.2.1 Partition function of "+" and " "-boundary conditions -- 10.1.2.2 Crystal partition functions -- 10.1.3 Phase-separation point -- 10.2 q-component models -- 10.2.1 Contours for the q-component models on the Cayley tree -- 10.2.2 Additional properties of the contours -- 10.2.3 The contour Hamiltonian -- 10.2.4 The Potts model -- 10.2.5 The SOS model -- 10.3 An Ising model with competing two-step interactions -- 10.3.1 Ground states -- 10.3.2 Weakly periodic ground states -- 10.3.2.1 Case of index two.
10.3.2.2 Case of index four -- 10.3.3 The Peierls condition -- 10.3.4 Contours and Gibbs measures -- 10.4 Finite-range models: general contours -- 10.4.1 Configuration space and the model -- 10.4.2 The assumptions and Peierls condition -- 10.4.3 Contours -- 10.4.4 Non-uniqueness of Gibbs measure -- 10.4.5 Examples -- 10.4.5.1 q-component models -- 10.4.5.2 The Potts model with competing interactions -- 10.4.5.3 A model with the interaction radius r 1 -- 11. Other models -- 11.1 Inhomogeneous Ising model -- 11.2 Random field Ising model -- 11.3 Ashkin-Teller model -- 11.3.1 Paramagnetic fixed point -- 11.3.2 Non-trivial fixed points -- 11.4 Spin glass model -- 11.5 Abelian sandpile model -- 11.6 Z(M) (or clock) models -- 11.6.1 The model and equations -- 11.6.2 Phases of Z(M) models -- 11.7 The planar rotator model -- 11.8 O(n, 1)-model -- 11.9 Supersymmetric O(n, 1) model -- 11.10 The review of remaining models -- 11.10.1 Real values -- 11.10.2 Quantum case -- 11.10.3 p-adic values -- Bibliography -- Index.
Abstract:
The Gibbs measure is a probability measure, which has been an important object in many problems of probability theory and statistical mechanics. It is the measure associated with the Hamiltonian of a physical system (a model) and generalizes the notion of a canonical ensemble. More importantly, when the Hamiltonian can be written as a sum of parts, the Gibbs measure has the Markov property (a certain kind of statistical independence), thus leading to its widespread appearance in many problems outside of physics such as biology, Hopfield networks, Markov networks, and Markov logic networks. Moreover, the Gibbs measure is the unique measure that maximizes the entropy for a given expected energy. The method used for the description of Gibbs measures on Cayley trees is the method of Markov random field theory and recurrent equations of this theory, but the modern theory of Gibbs measures on trees uses new tools such as group theory, information flows on trees, node-weighted random walks, contour methods on trees, and nonlinear analysis. This book discusses all the mentioned methods, which were developed recently.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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