The convergence rate of a numerical method must be positive to indicate that the solution is improving over iterations. A convergence rate less than 1 is a necessary condition for stability, ensuring that the method approaches the true solution. A zero or negative convergence rate signifies divergence, meaning the method fails to yield a reliable solution. Defining convergence rate precisely is crucial for understanding its implications in numerical analysis.
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