TL;DR
This paper introduces a penalty method to approximate reflected diffusions on the half-line by using stochastic differential equations with large drift coefficients to emulate reflection.
Contribution
It provides a novel approach to approximate reflected diffusions via a penalty method and proves convergence using scale functions.
Findings
Successful approximation of reflected diffusions using the penalty method
Convergence established through analysis of scale functions
Method offers a practical way to simulate reflected diffusions
Abstract
Consider a reflected diffusion on the positive half-line. We approximate it by solutions of stochastic differential equations using the penalty method: We emulate the "hard barrier" of reflection by a "soft barrier" of a large drift coefficient, which compells the diffusion to return to the positive half-line. The main tool of the proof is convergence of scale functions.
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