Fully Dynamic Random-Walk Quantities on Undirected Expanders and $κ$-Uniform Directed Graphs
Data Structures and Algorithms
Summary
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Authors
Richard Peng, Sushant Sachdeva, Junzhao Yang, Yibin Zhao
Abstract
We study fully dynamic data structures for random-walk quantities on undirected expanders and fast-mixing directed graphs. For an unweighted graph whose normalized Laplacian has spectral gap at least $γ$, we give a $(1\pm\varepsilon)$ effective-resistance data structure with expected update time $O(γ^{-4}\varepsilon^{-2}\log n\log^4(n/\varepsilon))$ and expected $O(1)$ query time. For directed graphs, somewhat surprisingly, the OMv conjecture precludes a fast data structure based on rapid mixing conditions alone. To address this, we introduce the notion of $κ$-uniform directed graphs, which requires the stationary distribution to $κ$-approximate the uniform distribution, and show that in this setting, random walk based data structures with $\text{poly}(κ, \log{n}, \varepsilon^{-1})$ update/query times are possible.