Property testing of the Boolean and binary rank
Abstract: We present algorithms for testing if a $(0,1)$-matrix $M$ has Boolean/binary rank at most $d$, or is $\epsilon$-far from Boolean/binary rank $d$ (i.e., at least an $\epsilon$-fraction of the entries in $M$ must be modified so that it has rank at most $d$). The query complexity of our testing algorithm for the Boolean rank is $\tilde{O}\left(d4/ \epsilon6\right)$. For the binary rank we present a testing algorithm whose query complexity is $O(2{2d}/\epsilon)$. Both algorithms are $1$-sided error algorithms that always accept $M$ if it has Boolean/binary rank at most $d$, and reject with probability at least $2/3$ if $M$ is $\epsilon$-far from Boolean/binary rank $d$.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.