Elliptic Extensions in Statistical and Stochastic Systems

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Hermite's theorem makes it known that there are three levels of mathematical frames in which a simple addition formula is valid. They are rational, q-analogue, and elliptic-analogue. Based on the addition formula and associated mathematical structures, productive studies have been carried out in the process of q-extension of the rational (classical) formulas in enumerative combinatorics, theory of special functions, representation theory, study of integrable systems, and so on. Originating from the paper by Date, Jimbo, Kuniba, Miwa, and Okado on the exactly solvable statistical mechanics models using the theta function identities (1987), the formulas obtained at the q-level are now extended to the elliptic level in many research fields in mathematics and theoretical physics. In the present monograph, the recent progress of the elliptic extensions in the study of statistical and stochastic models in equilibrium and nonequilibrium statistical mechanics and probability theory is shown. At the elliptic level, many special functions are used, including Jacobi's theta functions, Weierstrass elliptic functions, Jacobi's elliptic functions, and others. This monograph is not intended to be a handbook of mathematical formulas of these elliptic functions, however. Thus, use is made only of the theta function of a complex-valued argument and a real-valued nome, which is a simplified version of the four kinds of Jacobi's theta functions. Then, the seven systems of orthogonal theta functions, written using a polynomial of the argument multiplied by a single theta function, or pairs of such functions, can be defined. They were introduced by Rosengren and Schlosser (2006), in association with the seven irreducible reduced affine root systems. Using Rosengren and Schlosser's theta functions, non-colliding Brownian bridges on a one-dimensional torus and an interval are discussed, along with determinantal point processes on a two-dimensional torus. Their scaling limits are argued, and the infinite particle systems are derived. Such limit transitions will be regarded as the mathematical realizations of the thermodynamic or hydrodynamic limits that are central subjects of statistical mechanics.

Author(s): Makoto Katori
Series: SpringerBriefs in Mathematical Physics, 47
Publisher: Springer
Year: 2023

Language: English
Pages: 133
City: Singapore

Preface
Contents
Notation
1 Introduction
1.1 q-Extensions
1.2 Theta Functions and Elliptic Extensions
Exercises
2 Brownian Motion and Theta Functions
2.1 Brownian Motion on mathbbR
2.2 Brownian Motion on the One-Dimensional Torus mathbbT
2.3 Brownian Motion in the Interval [0, π]
2.3.1 Absorbing at Both Boundary Points
2.3.2 Reflecting at Both Boundary Points
2.3.3 Absorbing at One Boundary Point and Reflecting at Another Boundary Point
2.4 Expressions by Jacobi's Theta Functions
Exercise
3 Biorthogonal Systems of Theta Functions and Macdonald Denominators
3.1 An-1 Theta Functions and Determinantal Identity
3.2 Other Rn Theta Functions and Determinantal Identities
3.3 Biorthogonality of An-1 Theta Functions
3.4 Biorthogonality of Other Rn Theta Functions
Exercises
4 KMLGV Determinants and Noncolliding Brownian Bridges
4.1 Karlin–McGregor–Lindström–Gessel–Viennot (KMLGV) Determinants
4.2 Noncolliding Brownian Bridges on mathbbT
4.3 KMLGV Determinants and Noncolliding Brownian Bridges in [0, π]
4.4 Noncolliding Brownian Bridges and Macdonald Denominators
Exercise
5 Determinantal Point Processes Associated with Biorthogonal Systems
5.1 Correlation Functions of a Point Process
5.2 Determinantal Point Processes (DPPs)
5.3 Reductions to Trigonometric DPPs
5.4 Infinite Particle Systems
5.4.1 Diffusive Scaling Limits
5.4.2 Temporally Homogeneous Limits
5.4.3 DPPs at Time t=T/2
Exercises
6 Doubly Periodic Determinantal Point Processes
6.1 Orthonormal Theta Functions in the Fundamental Domain in mathbbC
6.2 DPPs on the Two-Dimensional Torus mathbbT2
6.3 Three Types of Ginibre DPPs
Exercises
7 Future Problems
7.1 Stochastic Differential Equations for Dynamically Determinantal Processes
7.2 One-Component Plasma Models and Gaussian Free Fields
Exercise
Appendix Solutions to Exercises
Appendix References
Index