Regularity conjecture for graphs with lexicographically optimal Cartesian squares

Let GG be a graph, and consider the Cartesian square G×GG\times G. An ordering of the vertices is optimal for the edge-isoperimetric problem (EIP) when it minimizes the number of boundary edges among vertex sets of each prescribed size. The lexicographic order on tuples is defined by declaring (x1,,xn)(x_1,\dots,x_n) greater than (y1,,yn)(y_1,\dots,y_n) if, for some ii, one has xj=yjx_j=y_j for 1j<i1\leq j<i and xi>yix_i>y_i. Regularity conjecture. If the lexicographic order is optimal for G×GG\times G, then GG is regular. The conjecture seeks to characterize graphs for which the lexicographic order is optimal on all Cartesian powers. The local-global principle shows that optimality for G×GG\times G implies optimality for GnG^n for every n3n\geq 3, but no general method is known for establishing optimality on Cartesian squares of concrete graphs.

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Primary source

Sergei L. Bezrukov, Pavle Bulatovic and Nikola Kuzmanovski, “New infinite family of regular edge-isoperimetric graphs”, arXiv:2307.05332 (2023).

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