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Lectures on Random Lozenge Tilings

Part of Cambridge Studies in Advanced Mathematics

  • Date Published: September 2021
  • availability: Available
  • format: Hardback
  • isbn: 9781108843966

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  • Over the past 25 years, there has been an explosion of interest in the area of random tilings. The first book devoted to the topic, this timely text describes the mathematical theory of tilings. It starts from the most basic questions (which planar domains are tileable?), before discussing advanced topics about the local structure of very large random tessellations. The author explains each feature of random tilings of large domains, discussing several different points of view and leading on to open problems in the field. The book is based on upper-division courses taught to a variety of students but it also serves as a self-contained introduction to the subject. Test your understanding with the exercises provided and discover connections to a wide variety of research areas in mathematics, theoretical physics, and computer science, such as conformal invariance, determinantal point processes, Gibbs measures, high-dimensional random sampling, symmetric functions, and variational problems.

    • Introduces the theory of random lozenge tilings step by step, starting from the very basics and reaching advanced results
    • Covers in detail almost all aspects of mathematics of random tilings
    • Outlines numerous connections of tilings to other areas of mathematics, theoretical physics, and computer science
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    Reviews & endorsements

    'The lectures provide connections between random tilings and many areas in mathematics and theoretical physics, and include an exhaustive reference list. Mathematicians and others interested in the hows and whys of this intriguing area would be well-served by consulting this text.' Thomas Polaski, Mathematical Reviews/MathSciNet

    'It seems that the reviewed book is the first introductory text about this fascinating topic. The release of this book is a great event for everyone interested in this problem.' Anton Shutov, zbMATH

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    Product details

    • Date Published: September 2021
    • format: Hardback
    • isbn: 9781108843966
    • length: 200 pages
    • dimensions: 235 x 158 x 20 mm
    • weight: 0.52kg
    • availability: Available
  • Table of Contents

    Preface
    1. Lecture 1: introduction and tileability
    2. Lecture 2: counting tilings through determinants
    3. Lecture 3: extensions of the Kasteleyn theorem
    4. Lecture 4: counting tilings on a large torus
    5. Lecture 5: monotonicity and concentration for tilings
    6. Lecture 6: slope and free energy
    7. Lecture 7: maximizers in the variational principle
    8. Lecture 8: proof of the variational principle
    9. Lecture 9: Euler–Lagrange and Burgers equations
    10. Lecture 10: explicit formulas for limit shapes
    11. Lecture 11: global Gaussian fluctuations for the heights
    12. Lecture 12: heuristics for the Kenyon–Okounkov conjecture
    13. Lecture 13: ergodic Gibbs translation-invariant measures
    14. Lecture 14: inverse Kasteleyn matrix for trapezoids
    15. Lecture 15: steepest descent method for asymptotic analysis
    16. Lecture 16: bulk local limits for tilings of hexagons
    17. Lecture 17: bulk local limits near straight boundaries
    18. Lecture 18: edge limits of tilings of hexagons
    19. Lecture 19: the Airy line ensemble and other edge limits
    20. Lecture 20: GUE-corners process and its discrete analogues
    21. Lecture 21: discrete log-gases
    22. Lecture 22: plane partitions and Schur functions
    23. Lecture 23: limit shape and fluctuations for plane partitions
    24. Lecture 24: discrete Gaussian component in fluctuations
    25. Lecture 25: sampling random tilings
    References
    Index.

  • Author

    Vadim Gorin, University of Wisconsin, Madison
    Vadim Gorin is a faculty member at the University of Wisconsin–Madison and a member of the Institute for Information Transmission Problems at the Russian Academy of Sciences. He is a leading researcher in the area of integrable probability, and has been awarded several prizes, including the Sloan Research Fellowship and the Prize of the Moscow Mathematical Society.

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