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Published online by Cambridge University Press: 29 May 2024
A linear equation $E$ is said to be sparse if there is
$c\gt 0$ so that every subset of
$[n]$ of size
$n^{1-c}$ contains a solution of
$E$ in distinct integers. The problem of characterising the sparse equations, first raised by Ruzsa in the 90s, is one of the most important open problems in additive combinatorics. We say that
$E$ in
$k$ variables is abundant if every subset of
$[n]$ of size
$\varepsilon n$ contains at least
$\text{poly}(\varepsilon )\cdot n^{k-1}$ solutions of
$E$. It is clear that every abundant
$E$ is sparse, and Girão, Hurley, Illingworth, and Michel asked if the converse implication also holds. In this note, we show that this is the case for every
$E$ in four variables. We further discuss a generalisation of this problem which applies to all linear equations.
Supported in part by ERC Consolidator Grant 863438 and NSF-BSF Grant 20196.