A simple algorithmic proof of the symmetric lopsided Lovász local lemma

We provide a simple algorithmic proof for the symmetric Lopsided Lovász Local Lemma, a variant of the classic Lovász Local Lemma, where, roughly, only the degree of the negatively correlated undesirable events counts. Our analysis refers to the algorithm by Moser (2009), however it is based on a simple application of the probabilistic method, rather than a counting argument, as are most of the analyses of algorithms for variants of the Lovász Local Lemma. © 2019, Springer Nature Switzerland AG