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https://dx.doi.org/10.48550/ar...
Article . 2022
License: CC BY
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Extremal combinatorics, iterated pigeonhole arguments, and generalizations of PPP

Authors: Pasarkar, Amol; Papadimitriou, Christos; Yannakakis, Mihalis;

Extremal combinatorics, iterated pigeonhole arguments, and generalizations of PPP

Abstract

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.

Country
Germany
Keywords

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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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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