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We study the complexity of computational problems arising from existence theorems in extremal combinatorics. For some of these problems, a solution is guaranteed to exist based on an iterated application of the Pigeonhole Principle. This results in the definition of a new complexity class within TFNP, which we call PLC (for "polynomial long choice"). PLC includes all of PPP, as well as numerous previously unclassified total problems, including search problems related to Ramsey's theorem, the Sunflower theorem, the Erdős-Ko-Rado lemma, and König's lemma. Whether the first two of these four problems are PLC-complete is an important open question which we pursue; in contrast, we show that the latter two are PPP-complete. Finally, we reframe PPP as an optimization problem, and define a hierarchy of such problems related to Turán's theorem.
FOS: Computer and information sciences, Computational Complexity (cs.CC), 510, 004, Extremal Combinatorics, Computer Science - Computational Complexity, Total Complexity, FOS: Mathematics, Pigeonhole Principle, Mathematics - Combinatorics, Combinatorics (math.CO), ddc: ddc:004
FOS: Computer and information sciences, Computational Complexity (cs.CC), 510, 004, Extremal Combinatorics, Computer Science - Computational Complexity, Total Complexity, FOS: Mathematics, Pigeonhole Principle, Mathematics - Combinatorics, Combinatorics (math.CO), ddc: ddc:004
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