Improved Analysis of Higher Order Random Walks and Applications
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Abstract (arXiv)
The motivation of this work is to extend the techniques of higher order random walks on simplicial complexes to analyze mixing times of Markov chains for combinatorial problems. Our main result is a sharp upper bound on the second eigenvalue of the down-up walk on a pure simplicial complex, in terms of the second eigenvalues of its links. We show some applications of this result in analyzing mixing times of Markov chains, including sampling independent sets of a graph and sampling common independent sets of two partition matroids.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Jan 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1.
3 papers.
- 2022Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independencecited by 8
- 2021From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximizationcited by 3
- 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutionscited by 0
- 2024Learning From Simplicial Data Based on Random Walks and 1D Convolutions4 Apr 2024
- 2022Optimal Sublinear Sampling of Spanning Trees and Determinantal Point Processes via Average-Case Entropic Independence6 Apr 2022
- 2021From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization10 Feb 2021