Optimal low-degree hardness of maximum independent set

نویسندگان

چکیده

We study the algorithmic task of finding a large independent set in sparse Erdős– Rényi random graph with $n$ vertices and average degree $d$. The maximum is known to have size $(2 \log d / d)n$ double limit $n \to \infty$ followed by $d \infty$, but best polynomial-time algorithms can only find an half-optimal $(\log d)n$. show that class low-degree polynomial sets no larger, improving upon result Gamarnik, Jagannath, author. This generalizes earlier work Rahman Virág, which proved analogous for weaker local algorithms.

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ژورنال

عنوان ژورنال: Mathematical statistics and learning

سال: 2022

ISSN: ['2520-2316', '2520-2324']

DOI: https://doi.org/10.4171/msl/25