A biregular graph is a bipartite graph whose vertices have constant degree on each part separately. The two degree constants can differ. If its parts are and its edge density of a bipartite graph is , the two degrees are and . Thus its adjacency function has constant row and column averages .
For a biregular graph with left vertices of degree and right vertices of degree , let be the indicator vector of a uniformly selected independent set. Use base-two information entropy. Shearer inequality gives . Conditional on , each right vertex with an empty selected neighbourhood is an independent fair binary choice, and the other right vertices are forbidden. Writing gives . For the neighbourhood patterns, assign weight to the zero pattern and weight one to all others. Jensen's inequality implies . Since , the bound follows from . If divides , the disjoint union of copies of the complete bipartite graph attains equality: each component has independent sets.
For a biregular graph of edge density of a bipartite graph , small rectangular discrepancy, a box norm fourth power close to , 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 be the centered biadjacency matrix of an equal-part biregular graph, and put . For subsets of the two parts, their edge discrepancy is . The Cauchy-Schwarz inequality proves the displayed bound. If the part size is , centering the two indicator vectors improves it to . The centered four-cycle identity for a biregular graph shows that implies for .
For an equal-part biregular graph with part size and degree , let be its biadjacency matrix and , where is the all-ones matrix. The constant row and column sums make annihilate constants on both sides. Since 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 divided by .

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