The $k$-XORSAT threshold revisited
Amin Coja-Oghlan, Mihyun Kang, Lena Krieg, Maurice Rolvien

TL;DR
This paper offers a simplified proof of the satisfiability threshold for random k-XORSAT problems and extends results to determine the full rank threshold for sparse random matrices over finite fields, combining physics-inspired methods with moment calculations.
Contribution
It provides a simplified proof of the k-XORSAT threshold and determines the full rank threshold for sparse matrices, extending prior work with new analytical techniques.
Findings
Simplified proof of the k-XORSAT satisfiability threshold.
Determination of the full rank threshold for sparse matrices.
Integration of message passing and moment methods.
Abstract
We provide a simplified proof of the random -XORSAT satisfiability threshold theorem. As an extension we also determine the full rank threshold for sparse random matrices over finite fields with precisely non-zero entries per row. This complements a result from [Ayre, Coja-Oghlan, Gao, M\"uller: Combinatorica 2020]. The proof combines physics-inspired message passing arguments with a surgical moment computation.
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Taxonomy
TopicsDistributed systems and fault tolerance · Cryptography and Data Security · Random Matrices and Applications
