Past exam of the mathematics course of the University of Cambridge 2026 iii Paper 122 3 a Solution Created 2026-09-24 Updated 2026-09-25
For disjoint nonempty vertex sets , their edge density of a bipartite graph isThe pair is a -regular pair ifwhenever , , , and . A partition is equitable when ; is its exceptional class.
Quasirandom bipartite graph Created 2026-10-06 Updated 2026-10-14
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.
If a set partition refines a rectangle of a graph into rectangles , write for its edge density of a bipartite graph. The weighted variance identity isIt follows by expanding the square and using . In particular, equitable regularity energy cannot decrease under refinement. If a witness rectangle has relative sizes at least and edge density of a bipartite graph discrepancy greater than , its contribution, after division by the squared total vertex count, exceeds .
Regular triangle counting lemma 2026-10-06
If three disjoint vertex classes have size , and their three pairs are -regular pairs of vertex sets of edge density of a bipartite graph at least , where and , they contain at least the displayed number of transversal triangles in a graph. All but vertices in the first class have at least neighbours in both other classes. Regularity between those two neighbour sets supplies the third edge. This strengthens a mere triangle embedding lemma for regular pairs to a cubic lower count.
Let a tripartite graph have nonempty parts , pair edge density of a bipartite graph values on , and . If every has exactly neighbors in , its normalized triangle count obeysThe constant-degree assumption makes the contribution of the constant exactly . For each fixed , apply the bilinear correlation bound for the box norm to the indicator functions of its two vertex neighbourhoods. Their squared norms are and the relative -degree of . Average over and use the Cauchy-Schwarz inequality to bound the mean square root of that degree by .