We show the minimum spectral gap of the normalized Laplacian over all simple, connected graphs on n vertices is (1 + o(1)) 54/n^3. This minimum is achieved
asymptotically by a double-kite graph. Consequently, this leads a sharp upper
bounds for the maximum relaxation time of a random walk, settling a conjecture of Aldous and Fill. We also improve an eigenvalue-diameter inequality by giving a new lower bound on the second eigenvalue of the normalized Laplacian, improving a previous result of the second author by a factor of 4.
Revised: March 19, 2020 |
Published: October 1, 2018
Citation
Aksoy S.G., F. Chung, M. Tait, and J. Tobin. 2018.The maximum relaxation time of a random walk.Advances in Applied Mathematics 101.PNNL-SA-133970.doi:10.1016/j.aam.2018.07.002