Regularity conjecture for graphs with lexicographically optimal Cartesian squares

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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 1≤j<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 n≥3n\geq 3, but no general method is known for establishing optimality on Cartesian squares of concrete graphs.

References

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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