The primal-dual relationship is a fundamental concept in optimization theory, connecting a primal problem with its corresponding dual problem, where solutions to one provide bounds or insights into the solutions of the other. This relationship is pivotal in deriving efficient algorithms and understanding the properties of optimization problems, such as convexity and duality gaps.