On the Riemann-Hilbert factorization problem for positive definite functions
Dan Kucerovsky, Amir T. P. Najafabadi, Aydin Sarraf

TL;DR
This paper develops general theorems for positive definite solutions to Riemann-Hilbert problems on the real line and applies these results to Lévy processes to determine the distribution of their extrema at stopping times.
Contribution
It introduces new theorems for solving Riemann-Hilbert problems with positive definite solutions and applies them to analyze Lévy processes.
Findings
Derived general theorems for Riemann-Hilbert problems
Applied theory to Lévy processes' characteristic functions
Determined distributions of extrema at stopping times
Abstract
We give several general theorems concerning positive definite solutions of Riemann-Hilbert problems on the real line. Furthermore, as an example, we apply our theory to the characteristic function of a class of L\'{e}vy processes and we find the distribution of their extrema at a given stopping time.
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Taxonomy
TopicsStochastic processes and financial applications · Mathematical Approximation and Integration · Meromorphic and Entire Functions
