The set of solutions of random XORSAT formulae
Morteza Ibrahimi, Yash Kanoria, Matt Kraning, Andrea Montanari

TL;DR
This paper characterizes the phase transition in the solution space of random XORSAT problems, identifying the clustering threshold and analyzing the structure and conductance of solution clusters.
Contribution
It provides a complete, sharp characterization of the clustering phase transition in random k-XORSAT, including the exact threshold and solution space structure.
Findings
The clustering threshold for random k-XORSAT is sharp and precisely determined.
Below the threshold, the solution set has large conductance; above, solution clusters also have large conductance.
A sparse basis for solutions is constructed, linked to hypergraph substructures.
Abstract
The XOR-satisfiability (XORSAT) problem requires finding an assignment of Boolean variables that satisfy exclusive OR (XOR) clauses, whereby each clause constrains a subset of the variables. We consider random XORSAT instances, drawn uniformly at random from the ensemble of formulae containing variables and clauses of size . This model presents several structural similarities to other ensembles of constraint satisfaction problems, such as -satisfiability (-SAT), hypergraph bicoloring and graph coloring. For many of these ensembles, as the number of constraints per variable grows, the set of solutions shatters into an exponential number of well-separated components. This phenomenon appears to be related to the difficulty of solving random instances of such problems. We prove a complete characterization of this clustering phase transition for random -XORSAT. In…
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