October 1, 2018
Journal Article

The maximum relaxation time of a random walk

Abstract

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