PageRank singular-gap conjecture

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Let GG be a directed graph with dmin⁡out>0d_{\min}^{out}>0. For a parameter α\alpha and associated PageRank random walk, let R\mathbf{R} be the probability transition matrix, given by

R=αn−1(J−I)+(1−α)P,\mathbf{R}=\frac{\alpha}{n-1}(\mathbf{J}-\mathbf{I})+(1-\alpha)\mathbf{P},

where J\mathbf{J} is the all-one matrix and P\mathbf{P} is the transition matrix obtained by choosing an outgoing arc uniformly at random. PageRank singular-gap conjecture. There is a universal constant kk such that

σ2(I−R)−1≤kα.\sigma_2(\mathbf{I}-\mathbf{R})^{-1}\leq \frac{k}{\alpha}.

The conjecture asserts that, like the spectral gap, the PageRank parameter controls the singular gap uniformly over all directed graphs with positive minimum out-degree. The authors note that examples based on Gambler's ruin imply k≥1.65637k\geq 1.65637, while the general bound remains open.

References

Primary source

Franklin H. J. Kenter, “Concentration of the Stationary Distribution on General Random Directed Graphs”, arXiv:1309.4811 (2013).

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