Numerical evaluation of the Gauss hypergeometric function: Implementation and application to Schramm-Loewner evolution

Abstract

Numerical studies of fractal curves in the plane often focus on subtle geometrical properties such as their left passage probability. Schramm-Loewner evolution (SLE) is a mathematical framework which makes explicit predictions for such features of curve ensembles. The SLE prediction for the left passage probability contains the Gauss hypergeometric function ${}_2{F}_1$. To perform computational SLE studies it is therefore necessary to have a method for numerical evaluation of ${}_2{F}_1$ in the relevant parameter regime. In some instances, commercial software provides suitable tools, but freely available implementations are rare and are usually unable to handle the parameter ranges needed for the left passage probability. We discuss different approaches to overcome this problem and also provide a ready-to-use implementation of one conceptually transparent method.

References in corpus (7)

• 2D growth processes: SLE and Loewner chains
• Fast computation of the Gauss hypergeometric function with all its parameters complex with application to the Poschl-Teller-Ginocchio potential wave functions
• Watersheds are Schramm-Loewner Evolution curves
• Classification of (2+1)-Dimensional Growing Surfaces Using Schramm-Loewner Evolution
• Percolation and Schramm-Loewner evolution in the 2D random-field Ising model
• Is negative-weight percolation compatible with SLE?
• Numerical study of Schramm-Loewner Evolution in the random 3-state Potts model