Hilfe Warenkorb Konto Anmelden
 
 
   Schnellsuche   
     zur Expertensuche                      
Discrete Mathematics in Statistical Physics - Introductory Lectures
  Großes Bild
 
Discrete Mathematics in Statistical Physics - Introductory Lectures
von: Martin Loebl
Vieweg+Teubner (GWV), 2009
ISBN: 9783834893291
187 Seiten, Download: 1270 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: B (paralleler Zugriff)

 

 
eBook anfordern
Inhaltsverzeichnis

  Preface 6  
  Contents 7  
  Chapter 1 Basic concepts 9  
     1.1 Sets, functions, structures 9  
     1.2 Algorithms and Complexity 11  
     1.3 Generating functions 14  
     1.4 Principle of inclusion and exclusion 15  
  Chapter 2 Introduction to GraphTheory 20  
     2.1 Basic notions of graph theory 20  
     2.2 Cycles and Euler’s theorem 25  
     2.3 Cycle space and cut space 27  
     2.4 Flows in directed graphs 32  
     2.5 Connectivity 34  
     2.6 Factors, matchings, and dimers 36  
     2.7 Graph colorings 43  
     2.8 Random graphs and Ramsey theory 44  
     2.9 Regularity lemma 46  
     2.10 Planar graphs 47  
     2.11 Tree-width and excluded minors 54  
  Chapter 3 Trees and electricalnetworks 57  
     3.1 Minimum spanning tree and greedy algorithm 57  
     3.2 Tree isomorphism 58  
     3.3 Tree enumeration 61  
     3.4 Electrical networks 63  
     3.5 Random walks 68  
  Chapter 4 Matroids 71  
     4.1 Examples of matroids 73  
     4.2 Greedy algorithm 75  
     4.3 Circuits 76  
     4.4 Basic operations 77  
     4.5 Duality 77  
     4.6 Representable matroids 79  
     4.7 Matroid intersection 80  
     4.8 Matroid union and min-max theorems 80  
  Chapter 5 Geometric representationsof graphs 82  
     5.1 Topological spaces 82  
     5.2 Planar curves: Gauß codes 87  
     5.3 Planar curves: rotation 92  
     5.4 Convex embeddings 93  
     5.5 Coin representations 96  
     5.6 Counting fatgraphs: matrix integrals 98  
  Chapter 6 Game of dualities 106  
     6.1 Edwards-Anderson Ising model 106  
     6.2 Max-Cut for planar graphs 108  
     6.3 Van der Waerden’s theorem 110  
     6.4 MacWilliams’ theorem 111  
     6.5 Phase transition of 2D Ising 113  
     6.6 Critical temperature of the honeycomb lattice 115  
     6.7 Transfer matrix method 118  
     6.8 The Yang-Baxter equation 121  
  Chapter 7 The zeta function andgraph polynomials 123  
     7.1 The Zeta function of a graph 123  
     7.2 Chromatic, Tutte and flow polynomials 128  
     7.3 Potts, dichromate and ice 132  
     7.4 Graph polynomials for embedded graphs 135  
     7.5 Some generalizations 138  
     7.6 Tutte polynomial of a matroid 142  
  Chapter 8 Knots 144  
     8.1 Reidemeister moves 145  
     8.2 Skein relation 146  
     8.3 The knot complement 147  
     8.4 The Alexander-Conway polynomial 149  
     8.5 Braids and the braid group 151  
     8.6 Knot invariants and vertex models 152  
     8.7 Alexander-Conway as a vertex model 153  
     8.8 The Kauffman derivation of the Jones polynominal 153  
     8.9 Jones polynomial as vertex model 156  
     8.10 Vassiliev invariants and weight systems 156  
  Chapter 9 2D Ising and dimer models 159  
     9.1 Pfaffians, dimers, permanents 159  
     9.2 Products over aperiodic closed walks 164  
  Bibliography 174  
  List of Figures 181  
  Index 183  


nach oben


  Mehr zum Inhalt
Kapitelübersicht
Kurzinformation
Inhaltsverzeichnis
Leseprobe
Blick ins Buch
Fragen zu eBooks?

  Navigation
Belletristik / Romane
Computer
Geschichte
Kultur
Medizin / Gesundheit
Philosophie / Religion
Politik
Psychologie / Pädagogik
Ratgeber
Recht
Reise / Hobbys
Sexualität / Erotik
Technik / Wissen
Wirtschaft

  Info
Hier gelangen Sie wieder zum Online-Auftritt Ihrer Bibliothek
© 2008-2024 ciando GmbH | Impressum | Kontakt | F.A.Q. | Datenschutz