Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
144 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Sequential Sweeps and High Dimensional Expansion (2312.02089v2)

Published 4 Dec 2023 in cs.DM

Abstract: It is well known that the spectral gap of the down-up walk over an $n$-partite simplicial complex (also known as Glauber dynamics) cannot be better than $O(1/n)$ due to natural obstructions such as coboundaries. We study an alternative random walk over partite simplicial complexes known as the sequential sweep or the systematic scan Glauber dynamics: Whereas the down-up walk at each step selects a random coordinate and updates it based on the remaining coordinates, the sequential sweep goes through each of the coordinates one by one in a deterministic order and applies the same update operation. It is natural, thus, to compare $n$-steps of the down-up walk with a single step of the sequential sweep. Interestingly, while the spectral gap of the $n$-th power of the down-up walk is still bounded from above by a constant, under a strong enough local spectral assumption (in the sense of Gur, Lifschitz, Liu, STOC 2022) we can show that the spectral gap of this walk can be arbitrarily close to 1. We also study other isoperimetric inequalities for these walks, and show that under the assumptions of local entropy contraction (related to the considerations of Gur, Lifschitz, Liu), these walks satisfy an entropy contraction inequality.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (61)
  1. Fractionally log-concave and sector-stable polynomials: counting planar matchings and more. In Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, pages 433–446, 2021.
  2. Entropic independence ii: optimal sampling and concentration via restricted modified log-sobolev inequalities. arXiv preprint arXiv:2111.03247, 2021.
  3. Entropic independence: optimal mixing of down-up random walks. In Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, pages 1418–1430, 2022.
  4. List decoding of lifted codes. In SODA, 2020.
  5. Approximating constraint satisfaction problems on high dimensional expanders. In FOCS, 2019.
  6. Improved analysis of higher order random walks and applications. In STOC, pages 1198–1211, 2020.
  7. David Aldous. Random walks on finite groups and rapidly mixing Markov chains. In Séminaire de Probabilités XVII 1981/82, pages 243–297. Springer, 1983.
  8. Spectral independence in high-dimensional expanders and applications to the hardcore model. CoRR, abs/2001.00303, 2020.
  9. Log-concave polynomials iv: approximate exchange, tight mixing times, and near-optimal sampling of forests. In Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, pages 408–420, 2021.
  10. Log-concave polynomials II: high-dimensional walks and an FPRAS for counting bases of a matroid. In STOC, pages 1–12. ACM, 2019.
  11. Yali Amit. On rates of convergence of stochastic relaxation for gaussian and non-gaussian distributions. Journal of Multivariate Analysis, 38(1):82–99, 1991.
  12. On mixing of markov chains: Coupling, spectral independence, and entropy factorization. In Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 3670–3692. SIAM, 2022.
  13. Entropy decay in the swendsen–wang dynamics on zd. In Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, pages 1551–1564, 2021.
  14. Path coupling: A technique for proving rapid mixing in Markov chains. In FOCS, pages 223–231, 1997.
  15. Rajendra Bhatia. Matrix Analysis, volume 169. Springer Science & Business Media, 2013.
  16. High dimensional expanders: Eigenstripping, pseudorandomness, and unique games. In Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1069–1128. SIAM, 2022.
  17. Hypercontractivity on high dimensional expanders. In Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, pages 185–194, 2022.
  18. Modified log-Sobolev inequalities for strongly log-concave distributions. CoRR, abs/1903.06081, 2019.
  19. Rapid mixing for colorings via spectral independence. CoRR, abs/2007.08058, 2020.
  20. Rapid mixing of Glauber dynamics up to uniqueness via contraction. arXiv preprint arXiv:2004.09083, 2020.
  21. Optimal mixing of glauber dynamics: Entropy factorization via high-dimensional expansion. In Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, pages 1537–1550, 2021.
  22. Agreement testing theorems on layered set systems. 2019.
  23. Boolean function analysis on high-dimensional expanders. In APPROX/RANDOM, pages 38:1–38:20, 2018.
  24. Systematic scan for sampling colorings. The Annals of Applied Probability, 16(1):185–230, 2006.
  25. Dobrushin conditions and systematic scan. Combinatorics, Probability and Computing, 17(6):761–779, 2008.
  26. New kazhdan groups. Geometriae Dedicata, 80:311–317, 2000.
  27. High dimensional expanders imply agreement expanders. In FOCS, pages 974–985, 2017.
  28. Roland L Dobrushin. Prescribing a system of random variables by conditional distributions. Theory of Probability & Its Applications, 15(3):458–486, 1970.
  29. Analysis of systematic scan metropolis algorithms using iwahori-hecke algebra techniques. Michigan Mathematical Journal, 48(1):157–190, 2000.
  30. Improved bounds for randomly colouring simple hypergraphs. arXiv preprint arXiv:2202.05554, 2022.
  31. Rapid mixing from spectral independence beyond the boolean domain. arXiv preprint arXiv:2007.08091, 2020.
  32. Howard Garland. p-adic curvature and the cohomology of discrete subgroups of p-adic groups. Annals of Mathematics, pages 375–423, 1973.
  33. Layerwise systematic scan: Deep boltzmann machines and beyond. In International Conference on Artificial Intelligence and Statistics, pages 178–187. PMLR, 2018.
  34. Hypercontractivity on high dimensional expanders. In Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, pages 176–184, 2022.
  35. Local-to-global contraction in simplicial complexes, 2021.
  36. Curvature criterion for vanishing of group cohomology. Groups, Geometry, and Dynamics, 16(3):843–862, 2022.
  37. Thomas P Hayes. A simple condition implying rapid mixing of single-site dynamics on spin systems. In 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS’06), pages 39–46. IEEE, 2006.
  38. Scan order in gibbs sampling: Models in which it matters and bounds on how much. Advances in neural information processing systems, 29, 2016.
  39. Matrix Analysis. Cambridge university press, 2012.
  40. Expander graphs and their applications. Bulletin of the American Mathematical Society, 43(4):439–561, 2006.
  41. Near-linear time decoding of ta-shma’s codes via splittable regularity. In Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, pages 1527–1536, 2021.
  42. Martin Kassabov. Subspace arrangements and property t. Groups, Geometry, and Dynamics, 5(2):445–477, 2011.
  43. David A Kazhdan. On the connection of the dual space of a group with the structure of its closed subgroups. Funkcional. Anal. i Prilozen, 1(1):71–74, 1967.
  44. High dimensional random walks and colorful expansion. In ITCS, pages 4:1–4:27, 2017.
  45. Construction of new local spectral high dimensional expanders. In STOC, pages 773–786, 2018.
  46. High order random walks: Beyond spectral gap. In APPROX/RANDOM, pages 47:1–47:17, 2018.
  47. Kuikui Liu. From coupling to spectral independence and blackbox comparison with the down-up walk. arXiv preprint arXiv:2103.11609, 2021.
  48. Random walks on ramanujan complexes and digraphs. Journal of the European Mathematical Society, 22(11):3441–3466, 2020.
  49. Explicit constructions of Ramanujan complexes of type. Eur. J. Comb., 26(6):965–993, 2005.
  50. Mathematical aspects of mixing times in Markov chains. Foundations and Trends in Theoretical Computer Science, 1(3), 2005.
  51. Izhar Oppenheim. Averaged projections, angles between groups and strengthening of banach property (t). Mathematische Annalen, 367:623–666, 2017.
  52. Izhar Oppenheim. Angle criteria for uniform convergence of averaged projections and cyclic or random products of projections. Israel Journal of Mathematics, 223:343–362, 2018.
  53. Izhar Oppenheim. Local spectral expansion approach to high dimensional expanders part I: Descent of spectral gaps. Discrete & Computational Geometry, 59(2):293–330, 2018.
  54. Izhar Oppenheim. Local spectral expansion approach to high dimensional expanders part ii: Mixing and geometrical overlapping, 2018.
  55. Izhar Oppenheim. Banach zuk’s criterion for partite complexes with application to random groups. arXiv preprint arXiv:2112.02929, 2021.
  56. Izhar Oppenheim. Garland’s method with banach coefficients. Analysis & PDE, 16(3):861–890, 2023.
  57. Surprising convergence properties of some simple gibbs samplers under various scans. International Journal of Statistics and Probability, 5(1):51–60, 2015.
  58. Laurent Saloff-Coste. Lectures on finite Markov chains. In Lectures on probability theory and statistics, pages 301–413. Springer, 1997.
  59. Practical and mathematical aspects of the problem of reconstructing objects from radiographs. 1977.
  60. Lecture notes on spectral independence and bases of a matroid: Local-to-global and trickle-down from a markov chain perspective, 2023.
  61. Markov chains and mixing times. American Mathematical Soc., Providence, 2009.
Citations (4)

Summary

We haven't generated a summary for this paper yet.