Computational Complexity Theory
In the context of derandomization and pseudorandom generators, expansion refers to the process of transforming a small, possibly random input into a larger output that maintains certain properties of randomness or unpredictability. This concept is crucial because it allows for the efficient use of limited randomness to generate sequences that can be used in computational processes while still simulating the effects of true randomness.
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