Given a connected finite graph G, an integer-valued function f on $V(G)$ is called M-Lipschitz if the value of f changes by at most M along the edges of G. In 2013, Peled, Samotij, and Yehudayoff showed that random M-Lipschitz functions on graphs with sufficiently good expansion typically exhibit small fluctuations, giving sharp bounds on the typical range of such functions, assuming M is not too large. We prove that the same conclusion holds under a relaxed expansion condition and for larger M, (partially) answering questions of Peled et al. Our techniques involve a combination of Sapozhenko's graph container methods and entropy methods from information theory.
No takes yet. Share an insight, caveat, or question.
Krueger et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: