The Reflection Principle is a fundamental concept in the study of stochastic processes, particularly in the context of the Wiener process (also known as Brownian motion). The principle provides a method for analyzing the behavior of Brownian paths, especially concerning their maximum or minimum values.
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Reflecting a Brownian path after its first hit of a level preserves Wiener measure and maps an endpoint to .