The core principle of generator expressions establishes a computational abstraction for lazy evaluation within the scope of functional programming and algorithmic complexity theory. This mechanism operates by deferring the construction of sequence elements until explicit demand is made, distinguishing it from eager evaluation paradigms where data structures are fully materialized in memory prior to processing. The domain is computer science, specifically the subfield of language semantics and memory management, where generator expressions function as an iterator protocol implementation that ensures O(1) space complexity relative to sequence size.
Prerequisite chain context: requires Python Iterable Protocol and Iterators.