Strict separation refers to a theoretical outcome in computational complexity theory where two complexity classes are proven to be distinct, meaning that no algorithm can solve problems in one class using resources that fall within the limits of the other. This concept emphasizes that there is a clear boundary between different levels of computational power, establishing that certain problems require fundamentally more resources than others. It plays a crucial role in understanding the relationships and hierarchies among various complexity classes.
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