Reflected stochastic processes is a class of mathematical models for random systems whose trajectories are constrained to remain within a specified domain by reflecting off its boundaries. This concept investigates the probabilistic behavior and dynamics of such processes under spatial limitations, holding significant importance for modeling phenomena across diverse fields like queuing theory, operations research, and physics, where boundary conditions dictate system evolution.