Epsilon (ε) is defined as a small positive number greater than zero, used to represent the upper bound of the difference between two random variables in stochastic continuity. The discussion clarifies that ε is not confined to any axis, unlike intuitive visualizations in calculus, where it may seem to relate to the y-axis. The focus is on understanding ε as a numerical concept rather than a graphical one. The conversation highlights the importance of distinguishing between intuitive representations and formal mathematical definitions. Ultimately, the role of ε in stochastic continuity is to quantify the behavior of random variables without relying on visual axes.