Quasirandom bipartite graph

For a biregular graph of edge density of a bipartite graph $\gamma$, small rectangular discrepancy, a box norm fourth power close to ${\gamma }^4$, and a small second singular value of the normalized adjacency operator of a bipartite graph are equivalent notions of quasirandomness, with quantitative bounds independent of the part sizes. Centering the adjacency function removes the constant singular component.

Let $H=M-\delta J$ be the centered biadjacency matrix of an equal-part biregular graph, and put $s=\Vert H{\Vert }_{\mathrm{op}}$. For subsets $A,B$ of the two parts, their edge discrepancy is $1_A^{\mathsf{T}}H{1}_B$. The Cauchy-Schwarz inequality proves the displayed bound. If the part size is $n$, centering the two indicator vectors improves it to $sn\sqrt{\alpha (1-\alpha )\beta (1-\beta )}$. The centered four-cycle identity for a biregular graph shows that $t_4(G)\le {\delta }^4(1+c^4)$ implies $s\le c\delta n$ for $c\ge 0$.

For an equal-part biregular graph with part size $n$ and degree $\delta n$, let $M$ be its biadjacency matrix and $H=M-\delta J$, where $J$ is the all-ones matrix. The constant row and column sums make $H$ annihilate constants on both sides. Since $M{M}^{\mathsf{T}}={\delta }^{2}nJ+H{H}^{\mathsf{T}}$ and the two summands have zero products, their squared matrix trace splits as displayed. The bipartite four-cycle density counts the squared matrix trace of $M{M}^{\mathsf{T}}$ divided by $n^4$.