Abstract

In the series of lectures, we will discuss probability laws of random points, curves, and surfaces. Starting from a brief review of the notion of martingales, one-dimensional Brownian motion (BM), and the DD-dimensional Bessel processes, BESD_{D}, D≥1D \geq 1, first we study Dyson's Brownian motion model with parameter β>0β>0, DYSβ_β, which is regarded as multivariate extensions of BESD_D with the relation β=D−1β=D-1. Next, using the reproducing kernels of Hilbert function spaces, the Gaussian analytic functions (GAFs) are defined on a unit disk and an annulus. As zeros of the GAFs, determinantal point processes and permanental-determinantal point processes are obtained. Then, the Schramm--Loewner evolution with parameter κ>0κ>0, SLEκ_κ, is introduced, which is driven by a BM on R{\mathbb{R}} and generates a family of conformally invariant probability laws of random curves on the upper half complex plane H{\mathbb{H}}. We regard SLEκ_κ as a complexification of BESD_D with the relation κ=4/(D−1)κ=4/(D-1). The last topic of lectures is the construction of the multiple SLEκ_κ, which is driven by the NN-particle process on R{\mathbb{R}} and generates NN interacting random curves in H{\mathbb{H}}. We prove that the multiple SLE/GFF coupling is established, if and only if the driving NN-particle process on R{\mathbb{R}} is identified with DYSβ_β with the relation β=8/κβ=8/κ.

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