On the complexity of symmetric vs. functional PCSPs
Tamio-Vesa Nakajima, Stanislav \v{Z}ivn\'y

TL;DR
This paper establishes a complexity dichotomy for symmetric, functional PCSPs under certain conditions and compares the power of relaxation methods, advancing understanding of PCSP complexity classifications.
Contribution
It provides a new dichotomy theorem for symmetric, functional PCSPs and analyzes the relative strength of relaxation techniques like BLP and AIP.
Findings
Dichotomy for symmetric, functional PCSPs under dependency and additivity.
Conditions under which PCSPs are either tractable or NP-hard.
A comparison showing BLP+AIP relaxation is no stronger than AIP alone.
Abstract
The complexity of the promise constraint satisfaction problem is largely unknown, even for symmetric and , except for the case when and are Boolean. First, we establish a dichotomy for where are symmetric, is functional (i.e. any elements of an -ary tuple uniquely determines the last one), and satisfies technical conditions we introduce called dependency and additivity. This result implies a dichotomy for with symmetric and functional if (i) is Boolean, or (ii) is a hypergraph of a small uniformity, or (iii) has a relation of arity at…
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Taxonomy
TopicsAdvanced Graph Theory Research · Constraint Satisfaction and Optimization · Complexity and Algorithms in Graphs
