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Title: Satisfiability thresholds of random $k$-XORSAT-Definition: Random $k$-XORSAT CITE{WikiXORSAT} is a random system of $m=\lfloor\alpha- n\rfloor$ $k$-variable equations over $\mathbb{F}_2$ in $n$ Boolean variables. For- $k\geq3$, $\alpha_k$ is the density such that, as $n\to\infty$, satisfiability has- probability tending to $1$ when $\alpha<\alpha_k$ and to $0$ when $\alpha>\alpha_k$- CITE{PittelSorkin}.+Definition: Random $k$-XORSAT CITE{WikiXORSAT} is a random system of $k$-variable+ equations over $\mathbb{F}_2$. For $k\geq3$, $\alpha_k$ is the density such that,+ as $n\to\infty$, satisfiability has limiting probability $1$ for $\alpha<\alpha_k$+ and $0$ for $\alpha>\alpha_k$ CITE{PittelSorkin}. Keywords: XOR-SAT, random linear systems over GF(2), p-spin model, cuckoo hashing Parameters:
constraints: $k\geq3$ Comments:- comment-conventions: The density is $\alpha=m/n$, equations per variable. The average- degree of the underlying $k$-uniform constraint hypergraph is $k\alpha$. Each- equation uses $k$ distinct variables and a uniform right-hand side. In cuckoo- hashing CITE{WikiCuckoo} with $k$ hash functions and buckets that hold one key- each, $\alpha_k$ is the threshold for the load, the number of keys per bucket- CITE{DGMMPR}. Allowing repeated variable choices gives the same threshold CITE{PittelSorkin}.+ comment-conventions: The density is $\alpha=m/n$, equations per variable; in the+ finite model $m=\lfloor\alpha n\rfloor$. The average degree of the underlying+ $k$-uniform constraint hypergraph is $k\alpha$. Each equation uses $k$ distinct+ variables and a uniform right-hand side. In cuckoo hashing CITE{WikiCuckoo} with+ $k$ hash functions and buckets that hold one key each, $\alpha_k$ is the threshold+ for the load, the number of keys per bucket CITE{DGMMPR}. Allowing repeated variable+ choices gives the same threshold CITE{PittelSorkin}. comment-k2: There is no $k=2$ row. In random $2$-XORSAT the limiting probability of satisfiability is strictly between $0$ and $1$ below density $\alpha=1/2$,
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